Better Box Score Metrics: The 4th Annual BBSM UFA Awards [UFA 2024]

Recognizing the best of the best this season.

September 12, 2024 by Paul in Analysis with 0 comments

This is now the fourth year for the BBSM season wrap-up, and in order to get straight to the story, we’ll keep the categories and methodology largely the same as last year. But each year we have tweaked, and this year we will tweak again.

The main difference this year is that we are including all postseason stats, and we are not standardizing the counting stats for the number of games a team has played. At the beginning of the playoffs, I noted that EDGE totals are strongly associated with playing a lot of O-line points, and that O-liners on bad teams tend to play more points than O-liners on good teams. (Anecdotally, Alec Wilson Holliday led the league in regular season O-line points with 297. You may recall that Dallas had 0 wins. The most O-line points for anybody on Minnesota, DC, Boston, or Salt Lake was 211.)

In the past, we’ve relied on E100 by itself to offset this bias, but this year’s method of letting playoff teams accumulate additional counting stats may help with the specific goal of identifying the most impactful players of the year. This also aligns with the UFA’s habit of referencing a player’s full season stats, and not just those of the regular season.

Speaking of full season stats, you’ll find full season EDGE stats at the end.¹

Net Production Totals

The EDGE totals in Table 1 reveal the effect of including playoff stats: 14 of the 21 players in EDGE-O are from playoff teams, five more than using last year’s methodology.

But overall, the effect is modest: Travis Dunn still leads in total EDGE, and standout seasons from other non-playoff-players such as Alex Atkins and Zachary Armstrong still figure prominently. Similarly, despite additional games, well-distributed production by Minnesota and DC means only one player between them (Gordon Larson) appears in Table 1.

The most dramatic story in Table 1 is Lukas Ambrose. Sure, Seattle had three playoff games, but his lead over second place Jeff Babbitt in EDGE-B is, on a percentage basis, greater than Allan Laviolette’s lead over the 64th highest score in EDGE-O. And to be 11th in total EDGE while only playing 45 O-line points is also remarkable. Ambrose also led in EDGE-B in 2023.

Productivity Rates

Since E100 is a productivity rate based on possessions, additional playoff games have no effect on our results shown in Table 2 (except for perhaps the productivity challenges of playing in the winds of Championship Weekend).

Some quick observations:

• For a rate stat, Brett Hulsmeyer’s lead in E100 is nearly as impressive as Ambrose’s in EDGE-B. Nobody consistently made more impact while on the field this year than Hulsmeyer.
• Much of the discussion about Tobias Brooks is about how good he is going to be in a few years. Folks, he’s already elite, leading the league in EDGE-O. And note that he finished 20th in EDGE despite missing the beginning of the season because of college-season conflicts. Only three of Table 1’s leaders in EDGE-O played just 11 games: Tobe Decraene, Pawel Janas, and Brooks. However, that works in the other direction as well; Brooks’s EO100 rate declined from 17.7 to 14.3 over the four playoff games, which was mainly a function of a relatively smaller sample size at the end of the regular season and regressing to the mean.
• Just as he did last year, Jeff Babbitt leads the league in EB100, with a rate even higher than last year’s 5.5.
• Just behind Babbitt is Lukas. Not Ambrose, but Lukas McClamrock, and one can appreciate how much of a loss it was for Atlanta to not have him for the playoffs (even with three other Hustle on the EB100 leaderboard).

Putting it All Together: Season Impact

For producing a combo EDGE and E100 metric that I’ll now name “Season Impact,” we will again use z-scores, a measure of how many standard deviations (SD) a given value is above or below the mean. One other change compared to last year is that we are returning to the 2022 method of using a 2:1 ratio of EDGE:E100, rather than 1:1. My sense is that actual output is more indicative of season-long impact than rates; as I’ve written here before, you can’t have impact if you’re not in the game.²

I adjusted it last year on the concern that the EDGE bias towards O-line players on weaker teams needed to be more strongly offset by E100; this year, with the addition of post-season stats, some of that bias is already accounted for, and we again preferentially reward showing up for games and making maximum contributions. However, although not arbitrary, there’s also nothing inviolable about using a 2:1 ratio, and one should recognize that the ordering in the table below among those within roughly 0.15 SD of each other is a function of the ratio chosen.

More observations:

• As the runaway leader in offensive and overall net impact, the statistical case for Brett Hulsmeyer as MVP seems clear to me. Yes, he had more playoff disappointment, but that’s not on him—statistically, he had a great game in the loss to Carolina—and there does not seem to be a compelling narrative case for anyone even remotely close statistically.
• Allan Laviolette and Jacob Fairfax both had stellar seasons for Carolina, but it would be hard to pick one over the other as an MVP.
• Had Boston made it to Championship Weekend, you could see a better narrative case for Jeff Babbitt, but since they got no further than Atlanta, I don’t see how you bypass Hulsmeyer.
• Rookie of the Year also emerges as a relatively easy choice: Tobe Decraene. Montreal was a competitive team this year, and Decraene was probably the most significant reason why.
• Colorado’s year did not meet preseason expectations, but that shouldn’t diminish Alex Atkins’ tremendous output.

What About Win Shares?

At the end of the regular season, I suggested that another approach for identifying MVP candidates would be to use a modified Win Shares approach. This is particularly pertinent given that the champion Wind Chill have only had one player—Gordon Larson—appear in any of the leaderboards above. Our very simple approach is to calculate each player’s share of his team’s total EDGE and multiply that by team wins (Table 4).

Ultimately, the Win Shares calculation doesn’t change the overall picture very much: Laviolette and Fairfax had very—but again, almost equally—impactful seasons; Bryan Vohnoutka gets some shine as another cornerstone to Minnesota’s championship, and we see that Garrett Martin had a larger share of Seattle’s overall production than Ambrose. If you were intent on making the case for Babbitt, for which there seems to be a lot of sentiment this is where you might turn, in that he had a larger share of Boston’s production than Hulsmeyer had of Atlanta’s, but if that’s the argument, then why not Laviolette, whose team went further? (Although Babbitt did also finish third in CP+, behind Gus Norrbom and Jacob Miller; data in season stats below).

The problem with this approach to Win Shares is that the spread in team wins is so wide that a player on 1-win Portland would have to have 12 times the production of a player on Carolina to be arrive at the same level of contribution (not to mention the problem of 0-win Dallas). Moderating the spread seems like it would make the metric a little more useful, something we may look at in the offseason.

The Break Generators

The last calculation is for the break generators, D-line stalwarts who didn’t necessarily lead in blocks, but who combined block ability with the offensive productivity to convert break opportunities (Table 5). We split this off separately from Defenders in order to be clearer about what we’re emphasizing, unlike the ambiguity of DPOTY. I can tell you before we run the numbers who is going to sit atop this list.

Ambrose laps the field, bolstering his status as the most impactful D-line player in the game. But you’ll also find a lot of young stars here, including three rookies in the top nine (Dean, Robert, and Grovic). Once again, Minnesota’s championship cannot be tied to individual players; the Wind Chill had the third highest break percentage in the league, but without a single representative on the leaderboard (Dylan DeClerk was 31st). Meanwhile, of the other top 8 teams in break percentage (MAD, SEA, SLC, CHI, DC, CAR, NY, and ATL) all but NY has at least one player here, and most have at least two.

The BBSM Podium

I now present the BBSM end-of-season podium, based entirely on these quantitative metrics. As I say every year, I’m not saying this is who should get the awards, but for players who get elevated far above what this baseline suggests, we’ll want to hear the case for it.

MVP: Brett Hulsmeyer
Contenders: Jacob Fairfax, Allan Laviolette

I’ve given my reasons above. If Carolina had prevailed in the Championship Game, I could see giving it to either Fairfax or Laviolette, but without a clear “best player on the best team” candidate, Hulsmeyer is the clear choice. (And for much of the year, Atlanta was the best team.).

Offensive Player of the Year: Alex Atkins
Contenders: Travis Dunn, Allan Laviolette

Atkins and Dunn are practically tied in the Season Impact metric for offense, and only Evan Magsig had more total yardage than either of them. Dunn had 11 more scores than Atkins (78 to 67) and the higher EDGE-O; Atkins had fewer possessions and the higher EO100. In the end, I’m going with Atkins on the basis that Colorado’s Strength of Schedule (based on my own calculations) was the third highest in the league (after Detroit and New York), while San Diego’s was below average.

Defender of the Year: Lukas Ambrose
Contenders: Jeff Babbitt, Lukas McClamrock

Do I need to explain?

D-Line Player of the Year: Lukas Ambrose
Contenders: Jasper Dean, Max Trifillis

Both Dean and Trifillis (who was also on this shortlist last year) had 31 scores and over 1600 yards, but again, Ambrose had both the highest offensive impact score and the highest EDGE-B totals of any qualifying D-liner. Not close.

All-UFA

For my First and Second Teams, I’ll be pulling the top available Offensive Impact player, Defender, and Break Generator, and then fill in with players from the Impact Score (Ez) list.

First Team: Brett Hulsmeyer, Alex Atkins, Lukas Ambrose, Tobe Decraene, Travis Dunn, Jeff Babbitt, Jacob Fairfax

Second Team: Allan Laviolette, Lukas McClamrock, Jasper Dean, Evan Magsig, Ben Jagt, Zeppelin Raunig, Ben Lewis

If we were to incorporate Win Shares, we might have Fairfax and Laviolette swap places, and have Garrett Martin take Raunig’s spot, but these are toss-ups. I’m sure the actual awards won’t save a spot for Jasper Dean, but it’s clear that Seattle’s success was tied to their second-in-the-leage ability to generate breaks, and we’re proud to keep him there. Given that both Carolina and Seattle have multiple players in this All-UFA list, I can’t be pithy about the fact that neither the champion Wind Chill nor the highly regarded Breeze have a single representative. For DC, there’s plenty of data that supports their depth, and with only so many goal equivalents to distribute, a team with many elite players may look like a team with no elite players.

The Wind Chill are harder to assess, but we can note that there’s also nobody from the entire Central Division among the 14 above, which raises the question of whether we need to better account for weather effects? Is it telling that four of the five teams in the Central that don’t play half of their games indoors are in the bottom half of the league in completion percentage, including the league champs? TBD.

Rookie of the Year: Tobe Decraene
Contenders: Elliot Bonnet, Gabe Vordick

Decraene’s case as RPOTY has been evident from the jump, but here’s one more nugget: no other player in the league accounted for a larger share of his team’s total EDGE production than Decraene, which is pretty wild for a rookie. European imports like Decraene and Bonnet have paid off handsomely in the past couple of years, and seeing who comes ashore next is among the best of off-season intrigue. The All-Rookie team below is strong, with the lowest Impact Score among them at 83, comparable to the top-end depth of teams like Atlanta and DC.

All-Rookie Team: Tobe Decraene, Elliot Bonnet, Gabe Vordick, Jacob Felton, Pieran Robert, Jasper Dean, Leo Sovell-Fernandez

That’s a wrap on UFA 2024. Full season data below.

Full 2024 Season Stats

Name	Team	Games	OPP	DPP	CHS	Poss	OppPoss	Cmp	ThrYd	RecYd	TotYd	A	G	HA	B	T	S	Drop	Qinc	TRN	Net	GmSE_Avg	EDGE-O	EDGE-B	EDGE	EO100	EB100	E100	CP	CP+
Aaron Coble	SD	2	5	28	68	17	45	16	170	80	250	0	3	0	0	1	0	0	0	1	2	0.59	1.5	0.0	1.5	8.9	0.00	8.9	96.2	92.06
Aaron Richards	DET	2	8	5	100	13	18	9	140	0	140	1	0	0	0	2	0	0	0	2	-1	0.41	0.5	0.0	0.5	3.7	0.00	3.7	85.7	89.47
Aaron Rosenthal	OAK	12	26	158	27	116	214	41	254	687	941	4	12	8	9	4	0	1	0	5	28	0.52	6.4	4.7	11.0	5.5	2.18	7.7	97.2	91.21
Aaron Wolf	SEA	15	239	54	88	328	199	412	3057	400	3457	20	13	28	11	20	0	1	0	21	51	0.53	17.6	5.8	23.4	5.4	2.91	8.3	94	94.98
Adam Miller	ATL	9	7	120	61	79	148	157	1149	725	1874	17	9	14	6	10	0	1	0	11	35	0.59	10.4	3.5	13.9	13.1	2.34	15.5	94.4	93.43
Adam O'Donnell	TOR	6	116	0	92	143	72	206	1666	147	1813	8	6	12	2	9	0	2	0	11	17	0.53	8.3	1.1	9.4	5.8	1.51	7.3	95.6	95.02
Adam Turcotte	TOR	11	176	31	63	244	161	339	2511	1459	3970	17	8	16	4	14	1	1	1	15	30	0.55	21.8	2.1	23.9	8.9	1.27	10.2	95.5	95.73
Adam Wulkan	OAK	4	3	41	66	26	54	12	155	81	236	1	1	1	0	2	0	0	0	2	1	0.56	0.6	0.0	0.6	2.3	0.00	2.3	89.7	90.00
Aidan Curry	OAK	7	123	14	38	163	80	82	512	820	1332	7	10	3	3	5	0	2	1	6	17	0.54	8.6	1.6	10.2	5.3	2.02	7.3	94	93.94
Aidan Downey	ATL	7	35	63	52	83	92	109	549	517	1066	13	10	7	11	2	1	0	0	3	38	0.58	9.3	6.0	15.3	11.2	6.52	17.7	97.8	96.18
Aiden Landis	PIT	5	49	33	68	82	74	92	772	364	1136	11	3	8	2	12	0	0	0	12	12	0.52	3.4	1.2	4.6	4.1	1.66	5.8	88.9	89.33
Aiden Rudy	DET	12	60	146	56	158	244	107	995	777	1772	15	6	3	5	16	1	2	0	19	10	0.49	6.7	2.1	8.9	4.3	0.87	5.1	88.5	88.17
AJ Merriman	DC	12	14	200	62	124	256	68	918	552	1470	14	4	4	10	4	0	0	2	2	30	0.56	11.6	5.2	16.8	9.3	2.03	11.4	92.3	94.83
Akifumi Muraoka	TOR	7	121	22	60	165	109	198	2191	1438	3629	21	8	17	7	19	0	3	1	21	32	0.54	16.9	3.6	20.6	10.3	3.33	13.6	91.4	91.60
Alec Wilson Holliday	DAL	12	297	12	13	415	252	188	644	4356	5000	18	60	19	12	20	0	5	2	23	86	0.48	35.2	5.5	40.8	8.5	2.19	10.7	90.2	91.27
Alex Atkins	COL	12	230	52	63	307	186	593	4218	2473	6691	42	25	35	11	33	0	2	4	31	82	0.54	38.4	5.8	44.3	12.5	3.13	15.7	93.6	95.06
Alex Davis	CAR	8	3	104	1	64	132	28	-29	267	238	1	5	3	7	2	0	0	0	2	14	0.53	1.8	3.6	5.3	2.8	2.70	5.5	94.4	92.11
Alex Forsberg	SLC	4	1	52	11	29	60	5	18	145	163	0	3	1	2	0	0	0	0	0	6	0.54	1.6	1.1	2.7	5.5	1.81	7.3	100	92.16
Alex Gravatt	MAD	2	0	27	1	22	35	4	-16	48	32	1	1	1	3	1	0	0	0	1	5	0.41	0.3	1.3	1.6	1.2	3.84	5.1	50	90.20
Alex Kabat	SEA	4	0	36	1	19	55	5	1	87	88	1	3	0	0	2	0	0	0	2	2	0.54	0.2	0.0	0.2	1.2	0.00	1.2	75	88.68
Alex Mullen	PIT	6	72	27	32	106	77	106	365	788	1153	4	12	12	2	3	0	0	0	3	27	0.53	8.6	0.8	9.4	8.1	1.08	9.2	97.7	95.48
Alex Tatum	COL	10	58	134	41	164	215	141	943	1384	2327	11	9	10	8	17	0	0	0	17	21	0.54	9.6	4.2	13.9	5.9	1.96	7.8	88.4	89.71
Alex Thorne	PHI	10	192	1	74	231	118	339	2087	744	2831	13	7	9	0	18	0	3	2	19	10	0.58	11.8	0.0	11.8	5.1	0.00	5.1	94.8	95.01
Alex Warrington	PIT	2	1	18	100	7	25	2	29	-5	24	0	0	0	0	1	0	0	0	1	-1	0.57	-0.4	0.0	-0.4	-5.2	0.00	-5.2	75	89.80
Alexander Wilcox	CAR	12	245	0	75	292	123	420	2626	864	3490	16	3	16	1	25	0	3	8	20	16	0.54	15.0	0.4	15.4	5.1	0.34	5.5	94.2	95.65
Alexandre Fall	DC	3	0	44	53	26	53	10	112	101	213	3	1	1	0	1	0	0	0	1	4	0.64	1.5	0.0	1.5	5.8	0.00	5.8	66.7	91.23
Allan Laviolette	CAR	15	303	1	70	377	168	425	4376	1846	6222	58	25	27	4	22	1	3	1	25	89	0.53	41.7	2.0	43.8	11.1	1.21	12.3	94.9	94.92
Allan Michel	PHI	3	0	20	40	15	35	6	28	42	70	0	0	1	0	0	0	0	0	0	1	0.55	0.5	0.0	0.5	3.0	0.00	3.0	100	92.31
Anders Juengst	CAR	13	257	5	34	320	140	322	1584	3035	4619	21	47	35	2	14	0	3	1	16	89	0.54	33.5	1.0	34.5	10.5	0.71	11.2	95.8	95.54
Anderson Cañon	DET	4	18	17	41	34	45	22	154	226	380	0	1	1	1	1	0	1	0	2	1	0.49	1.7	0.6	2.3	5.1	1.25	6.3	100	92.75
Andres Rodriguez	PHI	8	21	59	31	49	76	64	200	453	653	5	4	5	1	5	0	1	0	6	9	0.59	2.3	0.6	2.8	4.6	0.74	5.4	93.4	92.17
Andrew Thompson	PIT	3	5	37	77	25	48	20	199	46	245	1	3	3	3	1	0	1	0	2	8	0.52	1.3	1.6	2.9	5.1	3.37	8.5	97.6	92.54
Andrew Gardner	PIT	1	0	8	50	2	10	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.51	0.0	0.0	0.0	0.0	0.00	0.0	#DIV/0!	91.30
Andrew Maloney	DAL	1	2	8	17	12	20	2	-1	-5	-6	0	0	0	1	0	0	1	0	1	0	0.37	-0.4	0.4	0.0	-3.4	1.84	-1.5	100	91.67
Andrew Meshnick	MAD	10	0	123	19	66	148	20	66	287	353	2	4	0	4	2	0	0	0	2	8	0.54	2.4	2.1	4.5	3.6	1.40	5.0	95.4	91.18
Andrew Muller	ATX	7	4	103	48	54	126	10	89	98	187	1	3	1	2	2	0	0	0	2	5	0.56	0.8	1.0	1.8	1.4	0.82	2.2	90	89.66
Andrew Padula	LA	10	7	152	82	86	204	44	185	41	226	3	2	1	5	2	0	1	0	3	8	0.54	0.9	2.3	3.2	1.0	1.14	2.2	97.5	93.48
Andrew Roy	DC	14	236	16	76	293	141	561	3877	1244	5121	16	12	28	2	16	0	2	4	14	44	0.56	29.9	0.8	30.8	10.2	0.59	10.8	97.1	97.42
Andrew Sjogren	CHI	12	193	28	26	266	159	190	784	2211	2995	10	33	19	7	6	0	3	0	9	60	0.49	22.7	3.3	26.0	8.5	2.07	10.6	97	95.87
Andrew Thai	ATL	5	2	44	63	23	55	11	113	65	178	1	1	1	2	1	0	0	0	1	4	0.58	0.9	1.2	2.1	4.0	2.14	6.1	87.5	91.38
Angelo Olcese	NY	7	1	73	78	46	89	78	483	138	621	5	1	6	2	1	0	0	0	1	13	0.63	4.6	1.2	5.8	9.9	1.38	11.3	98.8	96.00
Anil Driehuys	PIT	7	138	3	71	174	89	223	2170	886	3056	23	10	7	2	12	0	1	1	12	30	0.54	19.2	1.1	20.3	11.1	1.22	12.3	94.6	94.64
Anson Reppermund	PIT	11	144	62	32	215	183	132	776	1632	2408	13	14	14	10	10	0	3	1	12	39	0.52	14.2	4.9	19.1	6.6	2.69	9.3	96.1	93.05
Anthony Gutowsky	MAD	14	192	97	20	314	251	102	584	2352	2936	8	53	8	15	8	0	4	0	12	72	0.51	24.5	7.1	31.6	7.8	2.84	10.6	91.7	92.31
Anthony Jirele	MIN	11	8	162	20	120	216	28	127	499	626	2	9	6	8	1	0	0	0	1	24	0.51	5.6	3.9	9.5	4.7	1.82	6.5	95.5	93.33
Antoine Davis	NY	11	5	169	17	98	214	32	114	554	668	3	6	2	11	4	0	0	1	3	19	0.6	4.2	6.2	10.5	4.3	2.91	7.2	88.6	91.36
Antoine Dubé	MTL	10	26	147	14	109	197	45	111	687	798	1	11	4	8	5	0	1	0	6	18	0.52	4.4	4.2	8.6	4.0	2.13	6.2	92.2	90.63
Antoine Rousseau	MTL	11	145	10	68	190	109	252	2076	971	3047	12	8	13	2	13	0	3	3	13	22	0.5	16.4	0.9	17.4	8.6	0.85	9.5	93.9	95.45
Antonio Rueda	POR	11	161	89	45	239	218	240	951	1128	2079	7	10	17	4	14	1	2	1	16	22	0.53	7.8	2.2	10.1	3.3	1.02	4.3	92.5	94.31
Araav Sehgal	TOR	10	25	88	34	70	137	49	152	296	448	2	2	3	1	5	1	1	0	7	1	0.57	0.5	0.6	1.1	0.7	0.45	1.2	87.2	91.00
Atkin Arnstein	COL	7	59	53	46	104	108	145	537	620	1157	3	8	6	2	6	0	2	0	8	11	0.54	4.9	1.1	6.0	4.7	0.98	5.7	95.7	94.92
Austin Taylor	ATL	13	258	8	72	310	123	411	3758	1471	5229	52	12	26	2	17	0	3	0	20	72	0.59	33.5	1.1	34.6	10.8	0.92	11.7	95.6	95.57
Avery Johnson	MAD	9	118	0	33	158	84	110	481	966	1447	10	8	10	4	3	0	0	0	3	29	0.52	11.2	2.1	13.2	7.1	2.49	9.6	96.3	95.60
Avi Taylor	POR	4	1	34	32	12	46	4	27	57	84	0	0	0	0	1	0	0	0	1	-1	0.55	-0.1	0.0	-0.1	-0.7	0.00	-0.7	75	90.20
Axel Agami	NY	11	0	123	26	63	149	32	100	282	382	2	9	2	6	0	0	0	0	0	19	0.58	4.5	3.6	8.0	7.1	2.39	9.5	100	94.87
Axel Olson	SEA	1	13	0	58	14	14	16	114	84	198	2	0	2	0	2	0	0	0	2	2	0.54	0.6	0.0	0.6	4.0	0.00	4.0	88.9	90.63
Aylen Learned	COL	3	27	8	77	39	26	59	434	133	567	6	1	2	0	4	0	0	0	4	5	0.54	2.7	0.0	2.7	6.8	0.00	6.8	85.3	92.66
Ben Ashton	SLC	13	30	173	88	143	228	136	1586	226	1812	17	6	17	9	12	0	1	0	13	36	0.54	8.7	4.9	13.6	6.1	2.15	8.2	89.4	91.75
Ben Close	IND	11	7	148	50	72	181	51	273	271	544	2	7	2	8	1	0	0	0	1	18	0.57	4.7	4.7	9.4	6.5	2.61	9.1	98.3	94.90
Ben Field	SLC	12	157	30	29	209	123	152	829	2099	2928	17	23	9	2	14	0	5	1	18	33	0.55	15.9	1.1	17.0	7.6	0.91	8.5	89.8	91.94
Ben Jagt	NY	11	219	23	23	250	120	161	781	2626	3407	19	35	15	7	6	0	0	2	4	72	0.6	29.3	4.3	33.6	11.7	3.58	15.3	95.6	96.21
Ben Katz	BOS	8	1	114	72	52	136	50	368	141	509	3	6	4	2	0	0	0	0	0	15	0.54	4.9	1.0	5.9	9.4	0.75	10.2	100	95.83
Ben Klar	TOR	1	4	9	1	20	25	2	-7	43	36	0	0	0	1	1	0	1	0	2	-1	0.33	-0.4	0.3	-0.1	-2.2	1.33	-0.9	66.7	89.80
Ben Landry	IND	12	96	79	47	157	152	254	1157	1286	2443	5	9	10	8	8	0	1	0	9	23	0.57	12.7	4.7	17.4	8.1	3.07	11.2	96.5	96.10
Ben Levinsky	SD	11	2	152	31	72	190	28	69	152	221	1	1	1	4	3	0	0	0	3	4	0.56	0.2	2.1	2.3	0.3	1.12	1.4	81.1	90.91
Ben Levy	NY	1	0	12	50	11	23	10	18	18	36	0	1	1	0	1	0	0	0	1	1	0.46	-0.1	0.0	-0.1	-0.4	0.00	-0.4	90.9	91.23
Ben Lewis	HTX	12	189	74	20	301	245	230	935	3795	4730	24	40	22	15	18	0	7	1	24	77	0.49	30.6	7.1	37.7	10.2	2.89	13.1	92.1	92.83
Ben Price	DAL	12	104	147	85	215	284	196	1507	260	1767	11	1	12	4	15	0	1	1	15	13	0.48	6.8	1.9	8.7	3.2	0.66	3.8	90.1	92.97
Ben Rogers	DAL	11	86	50	17	143	138	72	167	831	998	3	5	3	6	5	2	2	0	9	8	0.49	3.4	2.9	6.3	2.4	2.13	4.5	93.4	92.68
Ben Snell	CAR	9	9	107	100	87	144	143	763	-123	640	8	1	7	3	6	0	0	0	6	13	0.52	3.1	1.5	4.6	3.6	1.05	4.6	96.1	94.87
Ben Thoennes	POR	10	141	103	69	222	235	217	3184	1413	4597	44	9	14	6	33	1	2	1	35	38	0.53	20.7	3.0	23.7	9.3	1.28	10.6	86.5	87.80
Ben Zhang	CHI	1	0	12	47	9	21	3	22	25	47	0	0	0	0	0	0	0	0	0	0	0.49	0.3	0.0	0.3	3.3	0.00	3.3	100	91.84
Benen Shea	COL	1	0	15	25	15	30	5	28	86	114	1	1	0	1	0	0	1	0	1	2	0.52	0.6	0.5	1.1	3.8	1.73	5.6	100	92.16
Benjamin Preiss	CHI	12	36	201	15	169	291	91	230	1202	1432	9	16	9	7	4	0	1	0	5	36	0.5	11.6	3.4	15.0	6.9	1.16	8.0	97.2	94.33
Benjamin Sadok	BOS	12	221	0	84	275	125	615	4399	855	5254	49	9	21	1	31	1	1	3	30	50	0.57	27.7	0.6	28.3	10.1	0.45	10.5	95.2	95.36
Billy O'Bryan	ATL	11	8	128	57	81	158	96	467	354	821	9	4	10	4	6	0	0	0	6	21	0.58	4.3	2.3	6.6	5.3	1.47	6.8	96.3	93.24
Biz Schlaefer	MAD	1	0	12	100	8	20	7	44	-24	20	1	0	1	0	0	0	0	0	0	2	0.52	0.3	0.0	0.3	3.9	0.00	3.9	100	92.45
Blake Krapfl	MIN	3	0	27	1	12	39	4	-9	45	36	1	0	0	2	0	0	0	0	0	3	0.51	0.4	0.8	1.2	3.5	1.94	5.4	100	92.00
Bobby Ley	ATL	13	253	3	76	301	115	462	4212	1342	5554	43	6	18	1	17	0	1	0	18	50	0.59	34.0	0.6	34.6	11.3	0.52	11.8	96.4	96.00
Bradley Fleming	ATL	8	1	109	46	55	131	47	194	225	419	2	0	4	3	2	0	0	0	2	7	0.6	1.9	1.7	3.7	3.5	1.33	4.9	96.9	93.68
Bradley Kennis	DET	8	63	68	59	119	145	82	607	436	1043	4	1	5	5	4	0	2	0	6	9	0.5	5.2	1.9	7.0	4.4	1.28	5.6	94.7	93.94
Bradley Seuntjens	ATL	12	9	177	59	111	230	125	469	330	799	4	4	9	5	3	0	0	0	3	19	0.58	4.9	2.8	7.7	4.4	1.22	5.6	98.6	95.98
Bram Allahdadi	POR	11	30	144	27	96	201	41	138	373	511	0	5	1	5	4	0	2	0	6	5	0.54	0.9	2.7	3.5	0.9	1.33	2.2	91	91.21
Brandon Dial	ATX	12	3	171	36	114	223	61	281	499	780	5	6	5	7	3	0	1	0	4	19	0.53	4.8	3.5	8.3	4.2	1.57	5.8	88.3	93.64
Brandon Lamberty	DC	4	2	55	57	35	71	19	108	83	191	2	3	0	1	0	0	1	0	1	5	0.61	1.5	0.5	2.0	4.2	0.76	4.9	100	93.85
Brandon Li	SEA	4	2	51	31	30	62	7	34	77	111	0	1	2	1	0	0	0	0	0	4	0.52	0.9	0.5	1.4	3.0	0.81	3.8	100	92.45
Brandon Lin	HTX	2	5	15	28	13	28	2	16	42	58	0	1	0	0	0	0	0	0	0	1	0.56	0.6	0.0	0.6	4.3	0.00	4.3	100	91.67
Brandon Matis	MIN	14	21	192	37	156	266	52	298	497	795	4	5	2	15	4	0	1	0	5	21	0.5	4.5	7.5	12.0	2.9	2.82	5.7	94.8	92.16
Brandon Pastor	PHI	11	88	47	23	120	99	80	218	725	943	2	9	6	3	0	0	0	0	0	20	0.58	8.0	1.8	9.8	6.7	1.79	8.5	100	96.83
Brandon Van Deusen	LA	1	22	0	100	26	12	51	361	-10	351	2	1	2	0	2	0	0	0	2	3	0.53	1.7	0.0	1.7	6.6	0.00	6.6	96.2	93.94
Brendan Adams	HTX	12	102	149	61	219	294	170	1286	827	2113	10	7	15	7	18	0	1	2	17	22	0.49	8.6	3.0	11.6	3.9	1.02	5.0	89.9	91.38
Brendan Gessner	DET	12	234	39	10	324	242	170	249	2305	2554	4	29	11	5	3	0	0	0	3	46	0.49	20.7	2.2	23.0	6.4	0.93	7.3	98.4	96.80
Brendan Keith	HTX	5	10	38	1	28	57	7	-9	124	115	1	1	0	2	2	0	1	1	2	2	0.51	-0.2	1.0	0.8	-0.6	1.75	1.2	79.2	90.74
Brendan McCann	BOS	13	2	199	88	104	239	149	829	115	944	11	5	13	7	5	1	1	1	6	30	0.56	5.6	4.2	9.8	5.4	1.75	7.1	96.8	95.98
Brent George	LA	11	212	0	28	258	119	177	702	1780	2482	10	22	15	1	11	0	0	1	10	38	0.55	16.5	0.7	17.2	6.4	0.57	7.0	93.3	93.99
Bret Bergmeier	MIN	11	34	158	42	180	252	111	807	1126	1933	11	19	14	9	16	1	2	0	19	34	0.49	9.1	4.8	13.9	5.0	1.92	7.0	85.4	88.44
Brett Hulsmeyer	ATL	12	230	25	31	278	129	334	1797	3914	5711	24	35	22	8	11	0	2	0	13	76	0.58	39.7	4.6	44.3	14.3	3.58	17.9	96.9	96.16
Bretton Tan	NY	8	0	110	33	56	131	18	88	175	263	4	3	2	7	0	0	0	0	0	16	0.6	3.0	3.9	6.8	5.3	2.96	8.3	100	93.75
Brian Gfroerer	HTX	12	171	38	16	248	173	162	311	1628	1939	3	18	18	4	9	0	3	0	12	31	0.49	10.1	1.8	11.8	4.1	1.02	5.1	94	94.01
Brian Hart	MAD	7	106	0	67	133	70	219	1236	605	1841	5	4	11	1	10	1	1	0	12	9	0.51	7.2	0.5	7.7	5.4	0.69	6.1	94.3	94.91
Brian Street	DAL	8	87	53	54	143	133	113	1004	867	1871	7	4	7	12	13	0	3	0	16	14	0.49	6.3	5.7	11.9	4.4	4.26	8.6	88.4	90.12
Bryan Downey	HTX	7	44	46	56	82	87	71	804	641	1445	9	4	6	5	7	1	0	0	8	16	0.5	7.6	2.4	9.9	9.2	2.71	11.9	87.5	91.13
Bryan Nguyen	LA	7	140	0	1	162	71	80	213	1987	2200	6	17	6	2	2	0	0	0	2	29	0.55	17.0	1.2	18.2	10.5	1.62	12.1	98	95.31
Bryan Vohnoutka	MIN	14	153	124	46	285	269	166	1732	2006	3738	23	31	27	8	8	0	0	0	8	81	0.49	29.9	3.7	33.6	10.5	1.38	11.9	93.3	94.55
Bryce Lozinski	SD	10	180	43	59	246	155	244	1422	973	2395	11	8	16	2	16	1	0	0	17	20	0.56	9.0	0.9	9.9	3.7	0.61	4.3	95.2	93.46
Caden Sigerud	SD	7	3	96	20	59	121	19	118	475	593	3	7	2	1	0	0	0	0	0	13	0.53	5.6	0.5	6.1	9.5	0.42	9.9	100	93.85
Caeden Newby	POR	1	0	5	24	4	9	4	15	48	63	1	0	0	0	0	0	0	0	0	1	0.58	0.6	0.0	0.6	14.6	0.00	14.6	100	92.00
Caelan McSweeney	BOS	6	80	2	64	99	46	123	809	455	1264	7	2	7	0	6	0	0	0	6	10	0.53	6.3	0.0	6.3	6.3	0.00	6.3	94.7	94.29
Caiden Burt	HTX	12	80	140	1	186	262	62	56	929	985	2	4	9	8	6	0	5	0	11	12	0.49	1.7	3.6	5.3	0.9	1.39	2.3	89.6	91.23
Cal Tornabene	CHI	10	2	96	45	97	161	31	140	168	308	1	1	2	10	1	0	0	0	1	13	0.48	2.0	4.5	6.5	2.0	2.78	4.8	97.8	93.59
Caleb Campbell	POR	11	32	110	38	90	161	68	345	568	913	3	3	4	3	4	0	3	0	7	6	0.53	3.2	1.5	4.6	3.5	0.90	4.4	95.5	93.22
Caleb Seamon	NY	4	0	39	71	16	55	16	142	57	199	3	0	1	1	0	0	1	0	1	4	0.59	1.3	0.6	1.9	7.9	1.17	9.1	100	93.55
Caleb Texeira	DET	6	24	25	32	37	50	22	113	228	341	0	2	1	1	1	0	2	0	3	1	0.49	1.2	0.6	1.8	3.4	1.09	4.5	95.8	92.75
Calvin Coulbury	MTL	12	115	0	91	137	74	158	1024	102	1126	3	4	5	1	5	0	0	0	5	8	0.5	6.0	0.5	6.5	4.4	0.60	5.0	96.5	95.69
Calvin Trisolini	PHI	8	134	0	78	160	88	311	1968	556	2524	9	9	8	3	8	0	1	0	9	20	0.59	14.4	1.7	16.1	9.0	1.95	10.9	96.6	96.71
Cam Albin	HTX	2	16	11	51	28	27	22	206	198	404	5	1	1	0	0	0	1	0	1	6	0.48	3.2	0.0	3.2	11.3	0.00	11.3	100	94.12
Cam Bellando	CAR	3	0	40	72	39	60	25	179	68	247	3	0	2	1	4	0	0	0	4	2	0.47	0.4	0.4	0.8	1.0	0.69	1.7	89	89.33
Cam Thatcher	IND	10	35	89	57	95	127	91	760	577	1337	15	8	4	3	7	0	0	0	7	23	0.58	9.5	1.8	11.2	10.0	1.41	11.4	92.1	92.36
Cameron Brock	IND	11	217	18	37	274	146	386	1424	2423	3847	16	31	23	4	13	0	3	1	15	59	0.58	25.4	2.5	27.9	9.3	1.70	11.0	96.1	96.40
Cameron Guidry	DAL	3	0	28	72	14	42	13	68	27	95	2	0	0	1	2	0	0	1	1	2	0.48	0.5	0.5	1.0	3.8	1.07	4.8	85	91.67
Cameron Kennedy	TOR	9	175	1	29	215	108	110	649	1584	2233	6	21	9	3	10	0	1	0	11	28	0.55	12.6	1.9	14.4	5.8	1.74	7.6	92.8	91.57
Cameron Lacy	MIN	15	4	233	65	182	330	126	718	391	1109	11	5	13	12	14	1	0	0	15	26	0.5	3.2	5.6	8.9	1.8	1.71	3.5	90.5	90.32
Carl Johnson	PIT	9	109	55	33	168	154	59	399	806	1205	2	16	5	7	5	0	4	1	8	22	0.51	7.1	3.4	10.5	4.2	2.20	6.4	91.5	92.66
Carson Chamberlain	DET	9	150	22	18	207	147	121	432	2168	2600	6	20	14	3	5	0	3	0	8	35	0.51	17.5	1.4	19.0	8.5	0.98	9.5	95.6	94.77
Carson Wilder	DAL	8	168	5	96	232	135	318	3185	150	3335	15	4	21	2	31	0	0	1	30	12	0.5	9.9	0.9	10.7	4.3	0.66	4.9	91	91.37
Carter Hawkins	IND	10	119	68	47	188	160	228	878	1008	1886	13	7	7	6	9	0	3	1	11	22	0.57	9.8	3.2	13.0	5.2	2.03	7.2	96.5	95.74
Casey Shugarman	SD	12	14	174	21	99	223	15	100	380	480	1	7	2	10	1	0	3	0	4	16	0.55	2.2	5.3	7.5	2.2	2.37	4.6	97.5	91.94
Casey Wu	SD	9	136	0	35	163	75	85	669	1256	1925	11	19	12	1	7	0	2	1	8	35	0.56	13.6	0.7	14.3	8.3	0.90	9.3	92	92.70
Cedar Hines	SEA	7	13	105	34	80	141	40	213	405	618	4	3	2	7	0	0	1	0	1	15	0.53	4.7	3.7	8.4	5.9	2.62	8.5	100	95.35
Chad Yorgason	SLC	13	49	254	43	204	342	117	1009	1374	2383	24	16	6	16	13	0	2	1	14	48	0.54	15.1	8.7	23.9	7.4	2.55	10.0	90.2	90.86
Chance Cochran	COL	8	28	91	47	93	143	76	494	559	1053	5	6	6	2	3	0	0	0	3	16	0.54	7.1	1.0	8.1	7.7	0.68	8.4	95.3	94.40
Charles Cannon	COL	3	22	15	69	31	28	55	262	120	382	1	2	2	0	0	0	0	0	0	5	0.57	3.0	0.0	3.0	9.6	0.00	9.6	100	96.04
Charles Guay	MTL	12	39	188	58	163	283	119	625	460	1085	7	8	9	9	10	0	1	0	11	22	0.5	4.4	4.1	8.5	2.7	1.46	4.1	91.7	92.00
Charles Weinberg	NY	12	236	0	53	267	107	327	2466	2163	4629	30	15	37	3	16	0	1	1	16	69	0.6	28.8	1.7	30.5	10.8	1.62	12.4	95.3	95.10
Charlie Benforado	MAD	1	0	11	1	13	24	2	3	54	57	1	0	0	2	0	0	0	0	0	3	0.3	0.6	0.6	1.2	4.2	2.51	6.7	100	91.67
Charlie McCutcheon	DC	14	7	203	27	126	258	61	208	570	778	4	9	6	6	0	1	0	0	1	24	0.56	6.7	3.0	9.6	5.3	1.15	6.4	97.6	96.26
Charlie Vukovic	PIT	7	24	113	48	99	171	58	482	532	1014	5	6	5	9	6	0	3	0	9	16	0.49	4.4	4.4	8.8	4.5	2.57	7.0	88.3	90.91
Chris Arevalo	PIT	1	1	8	58	3	11	1	7	5	12	0	0	0	0	0	0	0	0	0	0	0.51	0.1	0.0	0.1	2.6	0.00	2.6	100	91.49
Chris Bartoli	BOS	7	0	77	19	29	91	9	41	180	221	0	4	1	4	2	0	2	0	4	5	0.58	-0.1	2.0	1.9	-0.3	2.23	1.9	73.3	89.47
Chris Chan	TOR	2	0	19	1	15	34	8	0	16	16	0	1	0	1	1	0	1	0	2	0	0.45	-0.6	0.6	-0.1	-4.2	1.69	-2.5	90	90.91
Chris Graber	PIT	4	13	50	1	44	78	13	4	435	439	4	2	1	1	0	0	1	0	1	7	0.48	3.4	0.6	4.0	7.7	0.72	8.5	100	93.22
Chris Lung	OAK	9	165	12	70	225	128	285	2220	943	3163	24	10	16	4	27	0	3	2	28	26	0.5	12.9	1.9	14.8	5.7	1.48	7.2	91	91.85
Chris Roach	SEA	1	0	8	1	5	13	0	0	9	9	0	0	0	0	1	0	0	0	1	-1	0.57	-0.5	0.0	-0.5	-10.3	0.00	-10.3	0	89.36
Chris Ward	COL	2	1	16	1	6	22	4	-3	5	2	0	0	0	0	0	0	0	0	0	0	0.54	0.0	0.0	0.0	0.2	0.00	0.2	100	92.00
Christian Belus	CAR	13	1	161	50	100	207	54	386	385	771	8	9	5	14	6	0	2	1	7	29	0.55	4.2	7.6	11.8	4.2	3.67	7.8	85.8	91.43
Christian Foster	SEA	11	212	2	79	255	121	403	2866	745	3611	22	3	26	1	22	0	3	4	21	31	0.53	16.6	0.6	17.2	6.5	0.48	7.0	95.1	95.29
Christian Olsen	ATL	7	132	0	66	156	62	223	1202	629	1831	6	11	15	3	6	1	1	0	8	27	0.6	10.3	1.8	12.1	6.6	2.90	9.5	97.2	96.36
Christophe Tremblay-Joncas	MTL	10	35	163	66	155	253	149	1200	620	1820	11	7	7	9	10	0	1	0	11	23	0.49	9.7	4.0	13.7	6.2	1.57	7.8	92.2	93.17
Christopher O'Brien	DET	3	6	11	1	11	22	2	-2	52	50	0	1	0	0	0	0	1	0	1	0	0.48	0.0	0.0	0.0	0.3	0.00	0.3	100	91.67
Christopher Zaleski	PHI	5	3	38	79	20	48	22	34	9	43	0	0	3	1	0	0	0	0	0	4	0.61	0.3	0.7	1.0	1.4	1.40	2.8	100	94.12
Clark Wang	SD	1	2	13	18	5	18	1	6	27	33	0	1	0	0	0	0	0	0	0	1	0.63	0.4	0.0	0.4	7.9	0.00	7.9	100	91.49
Clint McSherry	CAR	12	8	121	85	81	157	114	882	160	1042	10	3	5	3	7	0	2	0	9	12	0.52	4.6	1.7	6.3	5.7	1.07	6.8	93.8	93.41
Cody Curran	IND	3	0	24	1	5	29	7	-3	13	10	0	0	1	0	0	0	0	0	0	1	0.64	0.1	0.0	0.1	1.3	0.00	1.3	100	92.45
Cole Davis-Brand	BOS	6	68	12	78	84	50	90	474	133	607	1	5	9	0	4	1	0	0	5	10	0.57	2.1	0.0	2.1	2.6	0.00	2.6	87.3	94.29
Cole Eustis	POR	7	16	88	49	56	120	54	314	328	642	3	2	6	1	5	0	0	0	5	7	0.55	2.3	0.6	3.0	4.2	0.52	4.7	88.2	91.43
Cole Hyzer	IND	1	6	11	48	17	28	18	115	127	242	3	1	0	0	0	1	0	0	1	3	0.51	1.8	0.0	1.8	10.4	0.00	10.4	94.7	93.75
Cole Jurek	DC	13	176	104	29	271	219	285	1186	2975	4161	19	31	20	9	10	0	4	2	12	67	0.55	29.1	5.4	34.6	10.8	2.48	13.2	96	96.46
Cole Mires	OAK	1	1	11	1	8	19	4	0	51	51	0	1	0	1	0	0	0	0	0	2	0.52	0.5	0.5	1.0	6.4	2.76	9.1	100	92.00
Colin White	CAR	1	0	15	50	22	29	2	-15	15	0	0	0	0	1	0	0	0	0	0	1	0.42	0.0	0.4	0.4	0.0	1.43	1.4	100	91.67
Colin Beauregard	DET	10	99	124	44	199	250	166	781	998	1779	9	9	6	13	14	0	3	0	17	20	0.47	6.7	6.7	13.4	3.4	2.68	6.0	93.3	92.04
Colin Berry	MIN	12	173	8	42	225	115	108	1204	1632	2836	21	15	11	5	14	0	2	1	15	37	0.51	17.3	2.5	19.9	7.7	2.20	9.9	87.3	89.82
Colin Smith	DAL	3	8	16	13	18	34	4	13	84	97	0	0	1	0	1	0	0	0	1	0	0.45	0.3	0.0	0.3	1.4	0.00	1.4	80	90.20
Colin Sunde	BOS	11	156	0	90	202	93	271	2441	273	2714	16	2	14	3	9	0	0	3	6	29	0.56	17.3	1.6	18.8	8.6	1.69	10.2	96.4	96.90
Collin Rassel	IND	3	0	34	53	15	49	15	103	91	194	1	0	0	1	0	0	0	0	0	2	0.52	1.4	0.4	1.8	9.5	0.72	10.2	100	93.44
Conner Blalack	IND	1	3	14	42	11	25	14	45	61	106	0	1	2	1	0	0	0	0	0	4	0.51	0.9	0.5	1.4	7.8	2.03	9.8	100	93.33
Conner Stillwell	POR	11	212	4	32	261	153	139	1081	2288	3369	8	20	12	1	9	0	4	0	13	28	0.54	19.6	0.5	20.0	7.5	0.29	7.8	93.3	93.30
Connor DeLuna	DAL	11	42	176	1	132	265	20	84	816	900	2	18	1	10	2	0	1	0	3	28	0.48	8.0	4.5	12.5	6.1	1.71	7.8	90	91.18
Connor Newell	PIT	9	43	76	96	105	136	169	1137	43	1180	6	4	10	2	12	0	1	1	12	10	0.51	3.8	0.9	4.7	3.7	0.63	4.3	94.7	93.36
Connor Olson	COL	8	7	80	77	43	104	45	369	111	480	2	1	3	1	4	0	1	1	4	3	0.53	1.5	0.6	2.1	3.6	0.53	4.1	92.2	92.55
Connor Russell	NY	7	3	72	32	46	95	23	118	254	372	5	3	2	2	4	0	0	0	4	8	0.59	1.9	1.0	2.9	4.1	1.09	5.2	84.7	89.04
Connor Ughetta	HTX	11	100	136	70	204	272	232	1685	717	2402	10	4	11	2	18	0	5	3	20	7	0.48	8.4	0.8	9.2	4.1	0.30	4.4	92	93.52
Conor Bauman	OAK	12	2	169	100	91	212	88	676	-35	641	8	2	5	4	7	0	1	0	8	11	0.52	1.7	2.3	3.9	1.8	1.06	2.9	90.4	92.20
Conor Tabor	COL	4	54	19	98	93	66	110	1107	27	1134	11	0	7	1	11	0	1	0	12	7	0.52	3.0	0.5	3.5	3.2	0.71	3.9	89.3	91.02
Conrad Nguyen	DET	4	33	9	100	48	44	60	259	-32	227	0	0	3	0	4	0	0	0	4	-1	0.52	-0.6	0.0	-0.6	-1.2	0.00	-1.2	95.3	92.73
Cooper Williams	CAR	13	5	165	33	103	216	44	220	448	668	1	4	3	7	2	0	0	0	2	13	0.54	4.2	3.6	7.9	4.1	1.68	5.8	97.4	93.48
Corey Tolbert	HTX	7	17	43	21	42	70	12	85	327	412	2	3	1	1	3	0	1	1	3	4	0.47	2.1	0.5	2.6	5.0	0.65	5.7	73.3	90.00
Cullen Baker	CHI	6	23	49	81	63	79	77	569	131	700	4	2	2	0	4	0	1	0	5	3	0.52	3.2	0.0	3.2	5.1	0.00	5.1	95.7	93.70
Cy Toriello	LA	5	1	52	21	22	66	10	30	116	146	1	1	0	1	2	0	1	0	3	0	0.56	-0.2	0.5	0.3	-0.9	0.73	-0.2	86.7	89.66
Dan Baumgartner	POR	10	11	101	17	56	136	15	48	240	288	2	4	1	3	4	0	0	0	4	6	0.54	0.8	1.5	2.3	1.4	1.09	2.5	75	87.69
Dan Nichols	PIT	1	0	11	48	11	22	6	25	27	52	1	0	2	1	2	0	0	0	2	2	0.34	-0.2	0.3	0.2	-1.5	1.53	0.1	75	88.89
Dane Bossert	HTX	8	70	47	27	128	118	62	306	836	1142	4	7	7	8	6	0	2	0	8	18	0.47	5.4	3.6	9.0	4.2	3.06	7.3	90.4	91.23
Daniel Brunker	LA	5	89	4	62	108	54	166	1405	860	2265	13	9	10	0	10	0	1	0	11	21	0.51	12.8	0.0	12.8	11.9	0.00	11.9	93.4	93.69
Daniel Ferriter	CAR	1	1	12	98	11	23	10	54	1	55	1	0	1	0	1	0	0	0	1	1	0.51	0.0	0.0	0.0	0.2	0.00	0.2	90.9	91.23
Daniel Garlock	MAD	3	26	14	80	43	31	48	365	92	457	3	1	7	1	2	0	0	0	2	10	0.48	2.6	0.4	3.1	6.1	1.42	7.6	95.6	93.75
Daniel Pryke	SD	7	0	71	33	36	93	11	38	78	116	1	1	0	4	1	0	0	0	1	5	0.56	0.6	2.2	2.7	1.6	2.34	3.9	95	91.38
Daniel Ritthaler	OAK	11	45	126	66	142	201	146	936	477	1413	13	9	4	6	9	0	1	1	9	23	0.5	8.4	3.0	11.5	5.9	1.51	7.5	94.9	94.00
Daniel Welkener	DAL	9	96	29	46	158	129	104	731	857	1588	10	3	4	2	9	0	1	0	10	9	0.47	8.2	0.9	9.0	5.2	0.67	5.8	86.9	91.82
Daniel Winter	DAL	7	15	62	1	49	96	12	-7	231	224	1	2	0	2	3	0	0	0	3	2	0.47	0.5	1.0	1.5	1.0	1.07	2.0	70.8	88.52
Daniel Wong	TOR	1	0	11	1	4	15	6	13	-23	-10	0	0	0	0	1	0	0	0	1	-1	0.58	-0.6	0.0	-0.6	-16.0	0.00	-16.0	85.7	90.57
Daniel Zhu	CAR	1	0	10	100	8	18	4	32	-3	29	0	0	0	0	1	0	0	0	1	-1	0.6	-0.4	0.0	-0.4	-5.2	0.00	-5.2	80	90.20
Darren Phillips	DAL	1	0	12	89	7	19	6	33	4	37	0	0	1	0	1	0	0	0	1	0	0.45	-0.2	0.0	-0.2	-3.0	0.00	-3.0	85.7	90.57
David Barram	POR	11	256	1	91	314	176	459	4012	370	4382	21	8	29	4	33	0	2	3	32	30	0.54	16.4	2.1	18.6	5.2	1.21	6.4	93.3	93.64
David Bloodgood	DC	12	13	172	81	114	216	165	1088	257	1345	13	2	13	14	12	0	0	0	12	30	0.56	6.0	8.4	14.4	5.2	3.90	9.1	93.3	92.83
David Nester	MAD	1	11	4	28	20	12	12	81	213	294	2	1	2	2	2	0	0	0	2	5	0.44	1.5	0.9	2.4	7.7	7.34	15.1	85.7	90.00
David Perry	PHI	12	3	108	50	46	123	32	289	285	574	4	1	2	1	2	0	0	0	2	6	0.58	3.6	0.7	4.3	7.8	0.60	8.4	96.8	92.50
David Yu	COL	10	51	97	75	119	152	152	612	202	814	3	3	6	5	3	0	0	0	3	14	0.55	4.7	2.9	7.6	4.0	1.90	5.9	98.7	96.52
Dax Miller	TOR	12	108	106	55	185	198	212	1597	1283	2880	13	8	18	12	16	0	3	0	19	32	0.55	11.8	6.1	17.8	6.4	3.06	9.4	91.6	92.70
Dean Ramsey	ATL	13	20	219	1	135	278	29	94	862	956	4	19	2	9	3	0	3	0	6	28	0.59	6.9	5.1	12.0	5.1	1.83	7.0	91.7	91.03
Dennis Bechis	COL	7	116	5	31	152	83	101	370	811	1181	3	15	6	1	1	0	1	0	2	23	0.54	9.8	0.6	10.3	6.4	0.67	7.1	98.2	96.62
Derek Mourad	SEA	8	71	77	83	138	133	179	1550	320	1870	16	6	13	2	4	2	0	0	6	31	0.54	12.7	1.1	13.8	9.2	0.82	10.0	95.7	96.51
Dex Dremann	CHI	13	244	2	75	318	155	517	4239	1410	5649	32	15	20	4	29	0	5	5	29	42	0.49	31.0	1.6	32.6	9.8	1.01	10.8	94.4	95.23
Dillon Bruer	CAR	3	0	37	1	29	51	3	-5	33	28	0	2	0	2	0	0	0	0	0	4	0.53	0.6	1.1	1.6	1.9	2.13	4.0	100	91.84
Dillon Cooke	BOS	2	20	0	29	24	11	10	69	167	236	1	1	1	0	2	0	1	0	3	0	0.53	0.3	0.0	0.3	1.3	0.00	1.3	83.3	89.66
Dmitry Suvorov	PHI	10	159	0	20	189	94	211	463	1863	2326	7	26	16	1	4	0	3	0	7	43	0.59	16.4	0.6	17.1	8.7	0.69	9.4	98.3	96.93
Dominic Jacobs	SEA	14	3	141	11	95	190	26	65	537	602	1	9	1	4	2	0	2	0	4	11	0.53	3.6	2.1	5.8	3.8	1.13	5.0	92.5	91.89
Drew Happe	IND	11	73	129	27	153	193	177	329	883	1212	7	9	11	6	2	0	2	0	4	29	0.58	8.3	3.5	11.9	5.5	1.83	7.3	99.1	97.33
Drew Laird	DAL	8	9	105	44	50	136	16	154	200	354	4	3	2	3	3	0	0	0	3	9	0.49	2.4	1.4	3.8	4.8	1.00	5.8	86	89.23
Drew Swanson	CAR	14	7	190	1	125	248	28	58	768	826	3	11	7	13	1	0	0	0	1	33	0.55	7.2	6.8	14.1	5.8	2.76	8.5	95.8	93.33
Duncan Fitzgerald	ATX	11	202	13	67	270	140	340	2450	1187	3637	11	20	23	2	19	0	4	0	23	33	0.54	16.8	1.1	17.8	6.2	0.77	7.0	86.3	94.32
Duncan McNally	POR	11	71	112	30	136	191	49	220	509	729	3	4	5	3	2	0	0	0	2	13	0.55	4.9	1.6	6.4	3.6	0.82	4.4	95	93.81
Dylan Burns	OAK	13	264	8	29	334	156	180	864	2134	2998	14	22	14	3	7	0	2	0	9	44	0.52	20.9	1.6	22.4	6.3	1.00	7.3	96.7	95.28
Dylan DeClerck	MIN	11	37	184	28	175	271	45	382	994	1376	12	21	2	9	4	0	0	0	4	40	0.49	13.3	4.1	17.4	7.6	1.53	9.1	92.8	91.58
Dylan Hawkins	CAR	9	135	52	60	201	141	170	1089	712	1801	8	13	10	3	9	0	0	1	8	26	0.54	11.4	1.7	13.1	5.7	1.22	6.9	93.6	94.64
Dylan Lacombe-Burgoyne	MTL	11	69	98	86	143	181	193	1571	260	1831	9	1	11	0	13	1	2	0	16	5	0.49	5.9	0.0	5.9	4.1	0.00	4.1	90.5	93.25
Dylan Nice	OAK	4	8	36	37	38	56	8	129	223	352	2	6	1	1	2	0	1	0	3	7	0.58	2.0	0.6	2.7	5.4	1.13	6.5	80.6	89.29
Dylan Power	CHI	1	0	5	45	5	10	2	-5	-6	-11	0	0	0	0	0	0	0	0	0	0	0.34	-0.1	0.0	-0.1	-1.4	0.00	-1.4	100	91.67
Dylan Zeringue	HTX	11	63	66	35	129	149	53	391	724	1115	0	9	6	4	5	0	4	1	8	11	0.49	5.0	1.9	6.9	3.8	1.28	5.1	84.8	92.23
Eddie Finley	LA	8	0	104	1	36	124	7	-2	47	45	0	0	0	7	0	0	2	0	2	5	0.58	-1.0	4.2	3.2	-2.6	3.36	0.7	100	92.45
Eli Kerns	OAK	6	18	106	76	91	150	88	863	274	1137	15	4	4	6	14	0	1	0	15	14	0.5	3.4	2.9	6.4	3.8	1.95	5.7	86.4	87.84
Eli Motycka	ATL	1	7	6	100	12	18	9	59	-2	57	1	0	0	0	0	0	0	0	0	1	0.63	0.6	0.0	0.6	4.6	0.00	4.6	100	92.73
Elijah Jaime	SLC	8	127	3	1	154	80	86	50	1257	1307	6	17	6	1	4	0	4	0	8	22	0.55	8.2	0.5	8.7	5.4	0.63	6.0	96.2	94.12
Elijah Long	CAR	16	319	7	98	400	179	608	4369	68	4437	29	15	30	4	18	0	4	0	22	56	0.54	24.8	2.0	26.8	6.2	1.12	7.3	97.2	96.73
Elijah Salmon	SD	4	14	38	72	36	57	24	82	32	114	1	1	2	0	4	0	1	0	5	-1	0.57	-1.6	0.0	-1.6	-4.4	0.00	-4.4	86.7	89.19
Elliot Hawkins	IND	4	15	25	46	28	36	31	155	179	334	1	5	1	1	0	0	1	0	1	7	0.66	2.5	0.6	3.1	9.0	1.64	10.6	100	94.81
Elliot Rivera	PIT	1	1	8	100	3	11	2	-21	14	-7	0	0	0	0	0	0	0	0	0	0	0.51	0.0	0.0	0.0	-1.5	0.00	-1.5	100	91.67
Elliot Bonnet	DC	11	163	23	29	216	113	203	1125	2744	3869	11	33	15	6	11	0	2	0	13	52	0.56	25.7	3.2	28.9	11.9	2.80	14.7	94.7	94.23
Elliot Davis	DET	8	53	52	38	100	121	50	365	602	967	4	6	2	5	6	0	2	0	8	9	0.48	4.1	2.1	6.1	4.1	1.71	5.8	78.6	90.20
Elliot Sakach	HTX	2	5	12	1	11	23	3	3	68	71	0	2	1	0	0	0	1	0	1	2	0.44	0.4	0.0	0.4	3.4	0.00	3.4	100	91.84
Elliott Chartock	NY	9	174	20	81	200	90	430	3113	751	3864	35	18	15	0	18	0	1	1	18	50	0.64	23.4	0.0	23.4	11.7	0.00	11.7	96.1	95.74
Elliott Moore	ATX	8	20	103	64	73	128	74	901	517	1418	17	5	9	2	4	0	1	0	5	28	0.54	10.4	1.1	11.5	14.3	0.85	15.1	71.7	93.55
Elliott Rosenberg	BOS	2	0	15	92	4	19	4	11	1	12	0	0	0	0	0	0	0	0	0	0	0.59	0.1	0.0	0.1	1.9	0.00	1.9	100	92.00
Emmanuel Bilolo	DAL	9	76	56	46	137	147	92	553	641	1194	8	3	3	6	14	0	2	0	16	4	0.5	1.6	3.0	4.6	1.2	2.06	3.2	74	88.16
Emmet Shipway	SEA	10	3	89	22	51	119	15	50	173	223	1	4	0	2	3	0	0	0	3	4	0.52	0.8	1.0	1.8	1.5	0.86	2.4	85.7	89.06
Emmett Warner	POR	8	12	86	81	49	115	36	423	100	523	7	0	1	0	8	0	0	0	8	0	0.55	0.3	0.0	0.3	0.6	0.00	0.6	73.4	86.67
Eric Brodbeck	ATX	13	102	102	58	170	172	164	1197	871	2068	11	12	12	3	7	0	0	0	7	31	0.54	13.9	1.6	15.4	8.2	0.92	9.1	89.4	94.93
Eric Carter	DAL	10	38	142	100	128	220	127	828	-138	690	5	1	10	5	11	0	3	1	13	8	0.47	-0.2	2.4	2.3	-0.1	1.11	1.0	90.8	92.35
Eric Nardelli	PHI	11	75	72	23	111	120	53	172	568	740	1	12	5	3	3	0	0	0	3	18	0.58	5.2	1.7	6.8	4.7	1.38	6.0	96.3	93.14
Eric Witmer	PHI	12	26	229	50	134	288	126	670	672	1342	6	8	10	6	3	0	0	0	3	27	0.58	9.6	3.3	12.9	7.2	1.14	8.3	98.5	96.00
Eric Wright	CHI	1	0	4	50	1	5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.59	0.0	0.0	0.0	0.0	0.00	0.0	#DIV/0!	91.30
Erik Hotaling	COL	6	7	75	58	61	103	64	659	472	1131	8	4	6	2	7	0	0	0	7	13	0.53	5.7	1.1	6.8	9.3	1.07	10.4	89.5	90.60
Ethan Bloodworth	CAR	12	124	89	40	203	171	179	920	1358	2278	16	11	18	2	8	0	4	0	12	35	0.52	13.0	1.0	14.0	6.4	0.61	7.0	94.9	94.85
Ethan Fortin	NY	13	127	73	76	185	145	296	1885	611	2496	12	13	16	4	10	0	0	3	7	38	0.6	15.7	2.3	18.0	8.5	1.59	10.1	94	96.85
Ethan Holmgren	PHI	6	4	68	90	36	92	38	228	26	254	4	1	1	3	3	0	0	0	3	6	0.55	1.1	1.5	2.6	3.1	1.64	4.7	92.9	91.95
Ethan Li	SD	12	15	177	70	114	232	107	807	333	1140	9	4	13	6	11	0	0	0	11	21	0.55	3.6	3.1	6.7	3.1	1.33	4.5	87.1	90.85
Ethan Niedzwiedz	HTX	7	67	28	16	102	83	41	124	669	793	1	4	3	2	6	0	2	0	8	2	0.47	2.1	0.9	3.0	2.1	1.13	3.2	84.5	89.25
Eugene L'Heureux	SLC	12	7	154	61	100	195	42	396	272	668	3	6	9	3	6	0	0	0	6	15	0.55	2.6	1.7	4.2	2.6	0.85	3.4	88.5	89.36
Evan Bembenista	PIT	1	4	11	45	9	20	6	65	81	146	0	0	1	0	1	0	0	0	1	0	0.51	0.4	0.0	0.4	4.6	0.00	4.6	85.7	90.57
Evan Magsig	OAK	13	274	28	88	355	185	680	6214	874	7088	46	10	43	9	36	0	0	1	35	73	0.52	37.4	4.3	41.6	10.5	2.30	12.8	94.6	94.88
Evan Swiatek	ATX	10	185	13	35	252	131	201	1209	2216	3425	18	39	28	5	12	0	1	1	12	78	0.52	25.8	2.7	28.5	10.2	2.05	12.3	86.1	94.19
Everest Shapiro	LA	11	215	17	28	263	140	186	1120	2829	3949	20	19	18	10	17	0	2	1	18	49	0.54	22.7	4.8	27.4	8.6	3.42	12.0	91.3	91.94
Everitt Meer	PIT	1	1	8	50	3	11	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.51	0.0	0.0	0.0	0.0	0.00	0.0	#DIV/0!	91.30
Felix Leonard	MTL	6	7	48	61	34	72	23	123	78	201	0	0	2	0	3	0	1	0	4	-2	0.54	-0.8	0.0	-0.8	-2.4	0.00	-2.4	91	90.28
Felix Moren	POR	5	109	2	42	136	77	89	1017	1396	2413	13	14	5	3	12	1	4	1	16	19	0.53	12.0	1.5	13.5	8.8	1.94	10.8	87.1	89.73
Felix Pronove	COL	2	0	18	38	8	26	6	43	69	112	1	0	1	0	0	0	0	0	0	2	0.56	0.9	0.0	0.9	11.2	0.00	11.2	100	92.31
Fletcher Hare	ATL	2	0	20	1	7	27	0	0	30	30	0	1	0	0	1	0	0	0	1	0	0.59	-0.2	0.0	-0.2	-3.0	0.00	-3.0	0	89.36
Francisco Gomez	HTX	5	31	8	26	49	42	16	117	339	456	2	2	0	1	5	0	0	0	5	0	0.49	1.3	0.4	1.7	2.6	1.05	3.6	79	86.57
Franky Fernandez	ATL	8	0	108	19	51	126	14	48	208	256	0	6	0	10	0	0	1	0	1	15	0.58	2.1	5.8	7.9	4.2	4.61	8.8	100	93.33
Frederick Farah	DC	2	2	27	20	16	43	1	15	60	75	0	2	0	2	0	0	1	0	1	3	0.55	0.3	1.1	1.4	1.9	2.54	4.4	100	91.49
Gabe Colton	BOS	11	0	140	32	74	166	34	226	475	701	5	4	3	8	1	0	1	0	2	18	0.55	5.1	4.4	9.4	6.8	2.64	9.5	95	93.83
Gabe Jagt	MIN	1	0	15	1	11	26	0	0	46	46	0	2	0	1	0	0	0	0	0	3	0.54	0.7	0.5	1.2	6.0	2.08	8.1	#DIV/0!	91.30
Gabe Schoepke	CHI	4	0	36	23	32	54	5	19	65	84	0	0	1	2	0	0	1	0	1	2	0.47	0.2	1.0	1.2	0.6	1.80	2.4	100	92.16
Gabe Vordick	MAD	13	205	1	28	261	139	169	893	2256	3149	9	29	10	6	4	0	1	1	4	50	0.51	25.1	2.5	27.6	9.6	1.82	11.4	98.2	96.79
Gabriel Schwartz-Ketchner	OAK	3	1	34	18	16	51	5	6	27	33	0	0	1	3	0	0	0	0	0	4	0.6	0.2	1.8	2.0	1.3	3.54	4.9	100	92.16
Garrett Hable	SD	10	121	21	43	160	100	133	522	693	1215	5	7	5	1	7	0	2	0	9	9	0.57	5.0	0.5	5.5	3.1	0.51	3.6	94.3	94.09
Garrett Martin	SEA	15	306	7	35	373	175	241	1755	3298	5053	38	44	22	6	16	0	4	1	19	91	0.53	37.5	3.1	40.6	10.1	1.75	11.8	93.6	93.71
Garrett Santi	LA	9	26	160	53	114	230	64	521	467	988	8	1	7	10	12	0	0	4	8	18	0.53	3.8	5.0	8.8	3.3	2.17	5.5	81.2	89.83
Garrett Wilson	HTX	8	71	13	90	88	63	85	507	56	563	6	1	2	1	3	0	1	0	4	6	0.49	2.8	0.5	3.3	3.2	0.71	3.9	96	94.78
Gavin Babbitt	ATX	3	1	42	22	22	51	8	29	103	132	1	1	0	0	3	0	1	0	4	-2	0.57	-1.0	0.0	-1.0	-4.6	0.00	-4.6	63.9	87.72
Gavin Leahy	SEA	10	120	30	32	173	112	95	552	1183	1735	10	11	11	2	5	0	1	1	5	29	0.53	12.2	1.1	13.3	7.1	0.97	8.0	95.1	94.48
Gordon Larson	MIN	12	191	43	37	272	163	245	1720	2925	4645	27	28	30	4	14	0	0	0	14	75	0.51	32.6	2.3	34.8	12.0	1.38	13.4	94.5	94.10
Grant Harris	CHI	9	15	122	100	101	167	142	854	4	858	7	2	5	10	5	0	0	0	5	19	0.49	5.1	5.4	10.4	5.0	3.21	8.2	97.9	95.34
Grant Lindsley	SLC	9	127	80	70	201	166	223	1902	827	2729	15	10	11	3	14	0	1	1	14	25	0.54	14.4	1.6	16.0	7.2	0.95	8.1	94.1	93.97
Grayson Pangburn	MIN	1	0	15	48	9	24	3	41	45	86	1	0	1	1	0	0	0	0	0	3	0.54	0.7	0.5	1.3	8.1	2.25	10.4	100	91.84
Grayson Rettburg	SLC	2	28	1	1	35	15	11	-3	313	310	0	6	0	0	1	0	0	0	1	5	0.6	2.5	0.0	2.5	7.1	0.00	7.1	90	91.38
Grayson Sanner	CAR	15	104	147	42	220	244	152	1198	1661	2859	22	27	18	5	7	0	2	0	9	63	0.54	22.4	2.6	24.9	10.2	1.05	11.2	92.2	94.63
Greg Cousins	MIN	11	127	14	52	181	99	111	963	879	1842	6	13	13	2	8	0	1	0	9	25	0.52	10.5	1.1	11.6	5.8	1.07	6.9	92.5	92.73
Greg Martin	PHI	10	123	45	1	162	129	93	7	1513	1520	2	17	7	4	2	1	2	0	5	25	0.59	10.1	2.3	12.4	6.2	1.79	8.0	96.7	95.74
Gregory Moreno	DET	12	73	151	40	178	259	128	635	935	1570	3	12	10	11	7	0	1	0	8	28	0.49	8.8	4.8	13.5	4.9	1.84	6.8	94.1	93.92
Griffin McKee	TOR	12	201	37	32	263	172	167	847	1815	2662	7	24	13	2	10	0	2	1	11	35	0.55	16.4	1.3	17.7	6.2	0.75	7.0	90.3	94.14
Gus Norrbom	DC	12	163	4	82	197	78	373	2281	511	2792	17	12	22	1	5	0	0	0	5	47	0.56	20.7	0.3	21.0	10.5	0.36	10.9	98.6	97.88
Gustav Haflin	BOS	10	3	142	30	80	176	32	193	452	645	2	6	4	10	3	0	2	0	5	17	0.55	3.0	5.5	8.5	3.7	3.13	6.9	92.3	91.36
Hayden Austin-Knab	ATL	12	229	5	49	273	106	305	2028	2118	4146	16	30	31	3	11	0	1	0	12	68	0.59	27.6	1.7	29.3	10.1	1.61	11.7	96.6	95.86
Henry Fisher	CAR	13	63	170	23	176	250	114	504	1668	2172	17	17	7	17	3	1	3	0	7	51	0.54	16.6	8.4	25.0	9.4	3.37	12.8	96.4	95.71
Henry Goldenberg	CHI	2	38	0	71	51	35	49	345	140	485	4	0	3	0	8	0	0	0	8	-1	0.42	0.3	0.0	0.3	0.6	0.00	0.6	86.1	88.35
Henry Wayte	POR	10	167	58	23	237	188	133	703	2301	3004	18	21	19	7	5	1	8	0	14	51	0.54	18.9	3.7	22.7	8.0	1.98	10.0	96.7	95.11
Hunter Latson	CHI	1	0	4	50	1	5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.59	0.0	0.0	0.0	0.0	0.00	0.0	#DIV/0!	91.30
Ian Dietrich	PHI	4	0	22	28	9	31	10	26	68	94	0	2	1	1	1	0	0	0	1	3	0.57	0.5	0.6	1.0	5.2	1.80	7.0	83.3	91.23
Ian Falck	CHI	5	0	39	100	43	65	43	134	-12	122	2	0	1	3	8	0	0	1	7	-1	0.47	-1.5	1.0	-0.5	-3.5	1.55	-2.0	78	88.54
Ian Ladner	SD	1	15	0	70	19	19	20	64	27	91	0	1	1	0	0	0	0	0	0	2	0.63	0.8	0.0	0.8	4.0	0.00	4.0	100	93.94
Ian McCosky	MIN	7	14	85	54	75	123	79	392	333	725	5	3	6	4	7	0	1	0	8	10	0.53	1.7	1.9	3.6	2.3	1.53	3.8	92.6	91.67
Ian Sweeney	SEA	7	19	109	72	79	137	88	639	246	885	6	4	5	2	11	0	0	1	10	7	0.53	2.3	1.0	3.3	2.9	0.74	3.7	85.7	90.28
Isaac Hsu	LA	3	0	27	1	17	44	8	8	83	91	0	1	0	2	1	0	0	0	1	2	0.53	0.3	1.1	1.3	1.4	2.44	3.9	66.7	90.91
Isaac Lee	DC	11	0	125	52	71	157	54	227	212	439	3	2	4	5	7	1	4	0	12	2	0.57	-3.3	2.7	-0.5	-4.6	1.75	-2.9	86.5	89.72
Isamu Kawaguchi	LA	7	11	72	89	57	106	46	149	19	168	2	3	4	1	4	0	0	0	4	6	0.54	0.0	0.5	0.5	0.0	0.49	0.5	89.2	91.67
Itay Chang	OAK	4	18	42	45	48	64	60	172	207	379	4	1	3	1	0	1	0	0	1	8	0.51	2.8	0.4	3.3	5.9	0.67	6.6	96.4	96.23
Ivan Tran	BOS	6	0	73	88	36	87	23	151	21	172	3	2	0	0	0	0	0	0	0	5	0.56	2.0	0.0	2.0	5.6	0.00	5.6	100	94.20
Jac Carreiro	BOS	5	0	53	14	30	63	7	16	101	117	0	4	2	3	0	0	0	0	0	9	0.57	1.5	1.7	3.2	4.9	2.74	7.7	100	92.45
Jace Bruner	OAK	8	32	86	14	97	139	39	64	391	455	3	2	5	7	4	0	0	0	4	13	0.51	1.8	3.7	5.6	1.9	2.67	4.6	93.7	91.01
Jace Dean	DC	14	3	172	1	110	216	52	38	663	701	2	4	4	6	1	0	0	0	1	15	0.56	5.3	3.1	8.4	4.8	1.44	6.3	99	94.95
Jace Duennebeil	SLC	13	202	16	18	252	132	144	549	2511	3060	17	26	6	4	9	1	3	0	13	40	0.54	20.3	2.3	22.6	8.1	1.74	9.8	93.3	93.47
Jack Krugler	ATL	1	0	9	36	6	15	3	24	43	67	1	0	0	0	0	0	0	0	0	1	0.55	0.6	0.0	0.6	10.2	0.00	10.2	100	91.84
Jack Bembenek	DET	2	14	8	42	32	36	11	83	116	199	1	0	0	1	2	0	0	0	2	0	0.39	0.7	0.3	1.0	2.1	0.94	3.0	84.5	89.83
Jack Brown	SEA	12	100	125	29	207	217	83	670	1648	2318	6	22	8	6	8	0	2	1	9	33	0.53	15.3	3.0	18.2	7.4	1.36	8.7	89.8	91.91
Jack Dowling	ATX	3	4	32	92	22	46	14	109	10	119	1	0	3	0	0	0	0	0	0	4	0.48	0.9	0.0	0.9	4.3	0.00	4.3	100	93.33
Jack Galle	IND	8	3	93	1	47	114	31	28	284	312	0	5	1	5	2	0	0	0	2	9	0.53	2.0	2.3	4.2	4.2	1.97	6.1	93.2	92.41
Jack Havey	IND	12	119	113	42	214	221	219	852	1160	2012	9	11	12	3	12	0	5	1	16	19	0.57	7.8	1.3	9.1	3.6	0.59	4.2	94.8	94.57
Jack Kelly	MAD	5	36	27	15	73	68	28	91	532	623	2	4	2	0	6	0	0	0	6	2	0.48	2.8	0.0	2.8	3.9	0.00	3.9	87.5	87.50
Jack Kempe	IND	1	6	10	39	16	26	23	124	196	320	0	3	2	0	0	0	0	0	0	5	0.51	2.6	0.0	2.6	16.2	0.00	16.2	100	94.20
Jack Nelson	MAD	11	173	1	18	210	104	67	410	1910	2320	9	25	9	4	3	0	2	0	5	42	0.52	18.4	2.3	20.7	8.8	2.23	11.0	96.4	93.97
Jack Shanahan	CHI	11	200	10	54	270	145	317	2302	1955	4257	41	14	16	2	20	0	4	2	22	51	0.47	27.4	0.8	28.2	10.1	0.58	10.7	93.5	94.23
Jack Williams	NY	13	270	18	43	310	140	322	2082	2800	4882	30	30	31	5	18	0	0	3	15	81	0.6	33.4	3.3	36.7	10.8	2.39	13.2	94.8	95.04
Jack Wooldridge	DAL	5	1	34	1	10	45	3	10	-13	-3	0	0	0	0	1	0	0	0	1	-1	0.51	-0.5	0.0	-0.5	-5.1	0.00	-5.1	75	90.00
Jackson Carol	POR	1	0	9	73	5	14	2	68	25	93	1	0	1	0	1	0	0	0	1	1	0.49	0.3	0.0	0.3	5.6	0.00	5.6	66.7	89.80
Jackson McKee	TOR	7	12	74	1	44	100	18	15	300	315	1	1	0	2	1	0	0	0	1	3	0.55	1.9	1.1	2.9	4.2	1.08	5.3	96.4	92.31
Jackson Potts	ATX	13	237	34	38	327	188	184	1265	2100	3365	19	23	14	5	14	0	2	0	16	45	0.54	20.2	2.8	23.0	6.2	1.48	7.7	85.7	92.62
Jacob Blackman	ATL	5	0	52	100	28	61	12	27	-13	14	1	0	0	2	0	0	0	0	0	3	0.57	0.3	1.2	1.4	1.0	1.89	2.9	100	93.10
Jacob Duquette	MTL	10	29	128	49	122	195	88	446	470	916	10	6	5	6	4	0	3	0	7	20	0.49	5.2	2.9	8.1	4.3	1.49	5.8	97.6	94.20
Jacob Fairfax	CAR	15	287	14	24	358	172	257	1237	3932	5169	11	36	24	12	10	0	2	2	10	73	0.54	36.6	6.7	43.3	10.2	3.91	14.1	96	96.14
Jacob Kaplan	ATX	11	131	46	59	199	142	165	1106	767	1873	15	5	6	2	9	0	0	0	9	19	0.54	10.9	1.1	12.0	5.5	0.79	6.3	85.9	94.09
Jacob Miller	SLC	13	226	11	63	285	146	450	2500	1469	3969	17	15	45	3	7	0	1	0	8	72	0.54	26.7	1.6	28.3	9.4	1.06	10.4	98	97.81
Jacob Wham	MAD	7	33	77	24	93	123	25	129	403	532	3	6	4	5	2	0	3	0	5	13	0.49	3.0	2.6	5.6	3.2	2.12	5.3	84.3	91.78
Jacques Nissen	DC	10	144	48	57	203	129	295	1953	1456	3409	17	12	20	3	10	0	1	1	10	42	0.57	21.9	1.6	23.6	10.8	1.26	12.1	96.7	96.29
Jake Carrico	MAD	13	56	145	57	159	211	104	1015	753	1768	17	8	13	16	10	0	1	0	11	43	0.52	10.6	8.4	19.1	6.7	4.00	10.7	93	91.25
Jake Felton	DET	11	221	42	67	322	246	432	4954	2373	7327	66	19	17	9	81	0	1	6	76	35	0.49	25.9	4.3	30.2	8.0	1.75	9.8	84.2	85.71
Jake Floyd	DAL	9	196	1	72	269	150	373	3851	1493	5344	37	11	24	4	23	1	0	0	24	52	0.48	32.0	1.9	33.9	11.9	1.28	13.2	93.8	93.89
Jake Kenniv	IND	3	31	31	11	52	53	60	55	468	523	1	5	4	2	3	0	0	0	3	9	0.59	2.8	1.1	3.9	5.3	2.14	7.4	95.7	93.58
Jake Radack	ATX	10	126	62	71	194	158	286	2492	1013	3505	20	5	18	2	18	0	2	0	20	25	0.53	16.1	1.0	17.1	8.3	0.66	8.9	83.8	93.71
Jake Reinhardt	ATX	13	31	191	74	155	258	108	1351	484	1835	18	13	8	7	7	0	0	1	6	40	0.54	14.7	3.5	18.2	9.5	1.35	10.8	88.3	93.75
Jake Rubin-Miller	CHI	12	19	186	49	162	283	78	512	551	1063	6	8	10	20	7	0	4	1	10	34	0.49	4.6	8.9	13.5	2.8	3.15	6.0	86.3	92.31
Jake Shoyer	SEA	2	0	27	50	20	37	13	65	65	130	1	0	1	2	0	0	0	0	0	4	0.53	1.0	1.1	2.1	5.1	2.87	7.9	100	93.22
Jake Steslicki	CHI	10	27	151	58	130	215	190	768	567	1335	6	11	14	4	8	0	0	0	8	27	0.52	7.5	1.8	9.3	5.8	0.82	6.6	96.7	95.08
Jake Thorne	OAK	11	209	17	13	271	133	94	309	2082	2391	5	35	14	4	6	0	1	0	7	51	0.53	19.1	2.0	21.1	7.1	1.53	8.6	94.9	93.15
Jake Wahl	IND	1	6	13	29	15	28	22	36	89	125	0	1	0	1	0	0	0	0	0	2	0.51	1.0	0.5	1.5	6.5	1.81	8.4	100	94.12
Jake Worthington	ATX	3	0	44	26	23	55	12	35	99	134	1	1	2	4	0	0	0	0	0	8	0.57	1.2	2.3	3.5	5.3	4.20	9.5	100	93.10
Jakeem Polk	ATL	10	3	147	14	83	179	32	47	300	347	1	6	2	4	2	0	0	0	2	11	0.59	2.4	2.4	4.7	2.9	1.32	4.2	93.5	92.50
Jakob Brissette	MTL	6	105	8	91	148	90	251	2534	238	2772	14	4	15	1	17	0	0	0	17	17	0.49	12.9	0.3	13.2	8.7	0.37	9.1	93	93.31
James Franklin	LA	11	145	96	32	225	213	132	1029	2187	3216	11	32	8	7	7	0	1	0	8	50	0.54	24.0	3.8	27.8	10.7	1.76	12.4	96.6	94.05
James Kittlesen	MIN	6	4	60	28	33	74	7	54	137	191	1	2	0	3	0	0	0	0	0	6	0.52	1.8	1.7	3.5	5.4	2.30	7.7	100	92.45
James Kloss	DET	10	55	134	45	145	226	69	533	639	1172	4	7	10	7	11	0	0	2	9	19	0.49	5.6	3.0	8.6	3.9	1.32	5.2	86.4	89.52
James McClean	TOR	11	28	123	74	90	173	78	499	171	670	1	1	7	3	10	0	0	0	10	2	0.55	-0.9	1.6	0.7	-1.0	0.94	-0.1	88.4	89.55
James Pollard	PHI	12	113	115	48	188	206	149	1663	1768	3431	13	20	14	15	17	0	4	2	19	43	0.58	16.7	8.2	24.9	8.9	3.97	12.9	86	90.95
Jamie Millage	TOR	3	0	29	1	19	48	5	-9	35	26	0	1	0	0	1	0	0	0	1	0	0.53	-0.1	0.0	-0.1	-0.6	0.00	-0.6	75	90.38
Jan Szmanda	SD	1	0	15	64	4	19	1	9	5	14	0	0	0	0	0	0	0	0	0	0	0.63	0.1	0.0	0.1	2.2	0.00	2.2	100	91.49
Jason Hustad	DAL	10	208	25	84	286	185	409	3329	623	3952	23	4	18	10	38	0	1	2	37	18	0.5	12.0	5.0	17.0	4.2	2.69	6.9	90.8	91.85
Jason Kempe	IND	3	3	29	42	22	36	22	92	127	219	1	1	3	3	1	0	0	0	1	7	0.59	1.3	1.7	3.0	5.7	4.82	10.5	96.9	92.75
Jason Lee	LA	11	1	127	17	61	160	14	48	239	287	2	2	2	5	0	0	1	0	1	10	0.55	1.9	2.7	4.6	3.2	1.67	4.9	100	93.33
Jason Tapper	BOS	4	0	40	30	20	49	7	59	141	200	1	2	1	0	0	0	0	0	0	4	0.58	1.8	0.0	1.8	9.1	0.00	9.1	100	92.45
Jason Vallee	OAK	10	205	8	44	268	136	280	1362	1702	3064	26	14	23	3	14	0	1	1	14	52	0.5	19.7	1.5	21.2	7.4	1.07	8.4	95.4	94.99
Jasper Dean	SEA	15	35	225	62	187	300	190	1412	869	2281	21	10	19	19	10	0	1	1	10	59	0.53	15.1	10.1	25.3	8.1	3.38	11.5	95	94.69
Jasper Tom	DC	10	5	141	68	85	173	57	524	251	775	12	6	4	8	4	0	1	0	5	25	0.57	6.3	4.7	11.0	7.4	2.73	10.1	93.4	92.52
Jay Clark	BOS	1	0	12	100	9	21	4	72	-8	64	1	0	0	0	0	0	0	0	0	1	0.55	0.6	0.0	0.6	6.6	0.00	6.6	100	92.00
Jay Froude	COL	8	60	85	43	112	136	101	515	677	1192	7	4	11	4	2	0	1	0	3	23	0.55	8.0	2.1	10.1	7.2	1.55	8.7	96.4	95.97
Jean-Levy Champagne	MTL	3	5	19	65	11	30	8	20	11	31	0	0	0	0	0	0	0	0	0	0	0.56	0.2	0.0	0.2	1.8	0.00	1.8	100	92.59
Jeff Babbitt	BOS	14	231	53	20	315	198	261	642	2575	3217	7	43	13	22	3	0	1	0	4	81	0.56	27.5	12.4	39.9	8.7	6.24	15.0	98.7	97.74
Jeff Holm	NY	11	144	44	34	181	114	104	626	1239	1865	13	16	10	4	4	0	0	0	4	39	0.6	15.2	2.2	17.4	8.4	1.91	10.3	94.7	94.81
Jeff Weis	CHI	10	182	10	29	234	124	324	911	2214	3125	18	14	18	1	18	0	8	2	24	27	0.52	13.9	0.5	14.4	6.0	0.41	6.4	94.8	94.82
Jeff Wodatch	DC	14	207	4	39	252	99	198	1276	1957	3233	11	17	16	3	7	0	1	1	7	40	0.56	22.0	1.5	23.5	8.7	1.49	10.2	96.1	96.00
Jeremiah Branson	IND	9	77	41	46	114	96	123	674	788	1462	6	7	5	1	4	0	0	0	4	15	0.56	9.4	0.4	9.7	8.2	0.37	8.6	98.1	95.38
Jeremie Giard	MTL	4	8	23	48	25	38	11	103	113	216	1	2	1	1	1	0	0	0	1	4	0.47	1.6	0.5	2.1	6.4	1.36	7.7	91.7	91.38
Jeremy Langdon	ATL	11	177	8	29	213	82	153	1095	2636	3731	20	41	16	1	3	1	4	0	8	70	0.58	30.3	0.7	31.0	14.2	0.79	15.0	97.4	96.53
Jeremy Norden	SEA	4	53	5	100	65	37	71	673	0	673	6	0	1	0	8	0	2	0	10	-3	0.53	0.2	0.0	0.2	0.3	0.00	0.3	90.8	90.40
Jerry Kelly	CHI	3	0	22	84	28	40	18	87	16	103	2	0	0	0	4	0	0	0	4	-2	0.39	-0.5	0.0	-0.5	-1.7	0.00	-1.7	86.8	88.24
Jesse Johnson	CHI	12	18	173	27	141	248	71	317	871	1188	4	13	6	7	5	0	2	1	6	24	0.49	8.4	3.3	11.7	5.9	1.34	7.3	93.9	93.39
Jimmy McGuinness	SD	10	1	134	20	58	156	18	70	286	356	4	7	1	3	1	0	0	0	1	14	0.55	3.8	1.7	5.5	6.6	1.06	7.6	96.4	92.31
Jimmy Towle	PIT	11	214	3	34	282	156	225	987	1909	2896	10	18	18	2	3	0	6	0	9	39	0.52	19.6	1.1	20.8	7.0	0.72	7.7	98.6	97.45
Jimmy Zuraw	HTX	12	190	64	77	293	226	440	3261	960	4221	43	11	19	9	25	0	2	3	24	58	0.49	25.8	4.2	30.0	8.8	1.84	10.7	94.2	94.88
Joe Cercello	CHI	9	30	83	48	113	148	48	486	520	1006	8	6	3	7	4	0	0	0	4	20	0.43	7.0	2.9	10.0	6.2	1.97	8.2	88.4	91.84
Joe Leibforth	MAD	13	4	197	23	133	256	29	258	843	1101	4	15	2	13	6	0	0	0	6	28	0.51	7.4	6.8	14.2	5.6	2.67	8.2	87.5	87.65
Joe Merrill	SLC	11	44	202	28	174	283	69	503	1285	1788	11	18	12	7	4	0	2	0	6	42	0.54	13.5	3.8	17.3	7.8	1.33	9.1	95.6	93.28
Joe Molder	PIT	7	19	65	1	60	93	4	21	258	279	0	7	2	2	0	0	1	0	1	10	0.55	2.6	1.1	3.7	4.3	1.23	5.5	100	92.00
Joe Sogno	DET	4	24	16	100	36	41	36	332	-6	326	1	1	1	0	3	0	1	0	4	-1	0.49	0.9	0.0	0.9	2.6	0.00	2.6	93.1	91.76
Joel Close	IND	12	4	137	47	59	161	49	265	294	559	3	6	5	8	0	0	2	0	2	20	0.57	4.0	4.5	8.6	6.9	2.80	9.7	100	95.79
Joel Willison	CHI	8	0	64	15	54	95	9	32	182	214	1	2	0	4	2	0	2	0	4	3	0.48	0.4	1.5	1.9	0.7	1.60	2.3	75	89.47
Joey Cari	IND	2	20	10	81	25	20	37	180	42	222	2	0	1	0	0	0	0	0	0	3	0.61	1.8	0.0	1.8	7.1	0.00	7.1	100	95.18
Joey Wylie	ATX	13	163	93	36	261	206	211	1539	2699	4238	26	17	25	2	12	0	1	0	13	57	0.54	27.8	1.0	28.7	10.6	0.47	11.1	86.6	94.05
John Hanni	SLC	4	0	60	1	42	78	19	-65	193	128	1	5	1	2	0	0	0	0	0	9	0.53	1.9	1.1	3.1	4.6	1.46	6.0	100	93.85
John Jones	IND	2	0	21	100	4	25	2	-9	5	-4	0	0	0	0	0	0	0	0	0	0	0.66	0.0	0.0	0.0	-0.6	0.00	-0.6	100	91.67
John Lithio	CHI	11	204	15	44	265	138	319	1827	2387	4214	17	16	25	5	7	0	1	0	8	55	0.52	29.3	2.2	31.5	11.0	1.58	12.6	97.3	97.04
John McMonigal	PIT	10	164	21	30	212	128	200	764	1790	2554	5	25	17	2	5	0	4	0	9	40	0.53	17.2	0.8	18.0	8.1	0.63	8.8	98.1	96.41
John Randolph	NY	8	72	84	54	125	132	162	1137	960	2097	18	12	14	6	8	0	0	0	8	42	0.61	14.2	3.7	17.9	11.4	2.81	14.2	96.6	94.44
John Shelley	DAL	3	4	37	92	18	57	8	66	6	72	0	0	1	1	3	0	0	0	3	-1	0.48	-1.0	0.5	-0.5	-5.4	0.79	-4.6	58.3	87.72
John Tan	MAD	1	0	14	1	14	28	1	-1	100	99	0	3	0	1	1	0	0	0	1	3	0.44	0.7	0.4	1.2	5.3	1.57	6.9	50	89.58
John Wellers	CAR	11	2	136	24	84	177	13	74	229	303	1	1	1	15	1	0	1	0	2	16	0.55	1.3	8.1	9.4	1.6	4.56	6.1	93.8	91.67
Jon Snyder	POR	9	177	0	79	219	121	259	1543	403	1946	11	8	11	1	14	0	2	0	16	15	0.54	7.1	0.5	7.6	3.3	0.37	3.6	95.1	94.36
Jonah Malenfant	OAK	7	13	84	50	69	119	17	208	209	417	4	1	2	4	2	0	0	0	2	9	0.51	2.6	2.0	4.6	3.8	1.68	5.5	93.6	90.77
Jonah Stang-Osborne	BOS	11	10	135	74	74	166	94	769	270	1039	13	3	6	3	8	0	0	1	7	18	0.57	5.9	1.8	7.7	8.0	1.06	9.0	93.1	92.52
Jonathan Mast	PIT	11	207	2	71	276	154	448	2873	1181	4054	20	7	21	3	22	0	2	0	24	27	0.51	19.1	1.3	20.4	6.9	0.86	7.8	94.7	94.96
Jonathan Nethercutt	COL	4	81	0	80	100	45	181	1646	420	2066	13	0	8	1	8	0	0	0	8	14	0.54	11.5	0.6	12.1	11.5	1.22	12.7	96.4	94.89
Jonny Hoffman	SLC	11	7	154	30	95	198	34	324	748	1072	1	12	8	9	0	0	0	0	0	30	0.54	9.2	4.8	14.1	9.7	2.44	12.1	100	95.00
Jonny Malks	DC	11	178	8	54	227	111	391	2635	2224	4859	33	26	18	2	22	1	3	1	25	54	0.54	29.5	1.1	30.6	13.0	0.98	14.0	94.5	94.54
Jordan Hill	DET	8	106	34	10	155	125	72	113	948	1061	5	7	4	4	3	0	4	0	7	13	0.5	5.8	1.7	7.5	3.8	1.36	5.1	96.9	94.21
Jordan Jeffery	NY	1	15	1	46	18	19	9	85	100	185	1	1	0	0	0	0	0	0	0	2	0.73	1.6	0.0	1.6	8.6	0.00	8.6	100	92.73
Jordan Kerr	SLC	12	210	21	57	268	149	285	2211	1713	3924	38	12	26	4	10	0	2	0	12	68	0.54	27.9	2.1	30.0	10.4	1.43	11.8	96.2	95.89
Jordan Queckboerner	SD	9	17	106	40	76	152	31	186	293	479	0	3	5	3	4	0	0	2	2	9	0.55	2.7	1.8	4.4	3.5	1.17	4.7	84	92.41
Jordan Rhyne	PHI	12	198	6	77	238	128	500	2974	911	3885	24	6	16	2	24	0	3	1	26	22	0.58	15.8	1.2	17.0	6.7	0.92	7.6	94.7	95.25
Jordan Salazar	ATX	5	1	67	23	51	97	19	92	305	397	2	4	3	5	1	0	2	0	3	11	0.5	2.1	2.7	4.8	4.1	2.80	6.9	96.7	92.42
Jordan Taylor	MIN	13	174	11	39	236	119	109	1183	1854	3037	12	27	14	2	10	0	2	1	11	44	0.49	21.1	1.0	22.2	9.0	0.86	9.8	93.3	92.07
Joseph Welkener	DAL	9	34	101	68	96	163	71	511	246	757	4	4	5	5	7	0	1	0	8	10	0.48	2.4	2.4	4.8	2.5	1.45	4.0	88.6	91.13
Josh Klane	MIN	14	235	11	70	319	166	369	3513	1499	5012	39	10	18	1	35	0	2	5	32	36	0.51	25.8	0.5	26.2	8.1	0.28	8.4	90.8	92.36
Josh Lyder	PIT	1	4	11	90	9	20	4	44	5	49	1	0	0	0	0	0	0	0	0	1	0.51	0.5	0.0	0.5	5.5	0.00	5.5	100	92.00
Josh Moore	POR	8	113	22	26	145	102	122	444	1289	1733	13	10	8	1	10	0	2	0	12	20	0.53	8.9	0.6	9.5	6.1	0.57	6.7	92.2	92.13
Joshua Wilson	MAD	12	62	126	67	167	209	201	1509	731	2240	19	5	9	9	14	0	1	1	14	28	0.52	12.4	4.3	16.6	7.4	2.04	9.4	94.7	93.46
Joshua Zdrodowski	ATX	13	162	63	34	235	167	67	530	1014	1544	10	20	5	4	6	0	2	0	8	31	0.54	11.0	2.1	13.1	4.7	1.25	5.9	84.7	91.60
Josue Alorro	NY	5	2	52	88	23	63	39	196	26	222	2	0	4	1	2	0	1	1	2	5	0.6	0.7	0.7	1.3	3.0	1.04	4.0	78.6	94.19
JP Burns	ATL	1	0	8	49	7	15	4	33	35	68	1	0	1	1	0	0	0	0	0	3	0.55	0.6	0.6	1.2	8.8	3.68	12.5	100	92.00
Julian Saunt	POR	7	12	92	50	58	126	27	249	250	499	3	5	2	6	4	0	1	0	5	11	0.55	1.9	3.3	5.1	3.2	2.58	5.8	89	89.61
Julien Bernat	MTL	12	19	183	52	142	266	100	734	675	1409	4	3	8	10	5	1	3	0	9	16	0.5	6.3	5.1	11.4	4.4	1.92	6.3	95.8	94.04
Justin Burnett	ATL	8	4	126	38	70	155	39	351	569	920	7	10	3	10	2	0	0	0	2	28	0.61	7.7	6.1	13.8	11.1	3.91	15.0	95.4	93.10
Justin Lim	OAK	7	33	65	78	70	98	47	268	76	344	2	3	2	1	2	0	0	0	2	6	0.51	2.1	0.5	2.6	3.0	0.54	3.5	97.9	93.68
Justin Luo	TOR	5	12	49	55	25	67	22	99	81	180	2	1	0	0	1	0	0	0	1	2	0.62	1.2	0.0	1.2	4.6	0.00	4.6	96.9	92.75
Justin Mecham	SLC	1	0	16	28	11	27	4	33	84	117	1	0	0	0	1	0	0	0	1	0	0.49	0.4	0.0	0.4	4.0	0.00	4.0	80	90.20
Justin Wollin	DET	11	163	21	79	222	162	208	1677	450	2127	12	3	8	6	14	0	2	0	16	13	0.48	8.5	2.8	11.3	3.8	1.75	5.6	93.9	93.28
Kaenan Combs	POR	8	6	65	1	36	87	14	22	199	221	1	3	1	0	2	0	0	1	1	4	0.54	1.7	0.0	1.7	4.6	0.00	4.6	89.3	91.80
Kai DeLorenzo	MAD	4	2	46	41	34	61	11	55	78	133	0	4	1	0	1	0	0	0	1	4	0.52	1.1	0.0	1.1	3.1	0.00	3.1	93.8	91.38
Kai Marcus	MAD	10	173	0	82	212	114	371	4130	922	5052	37	2	19	0	46	0	2	2	46	12	0.53	15.4	0.0	15.4	7.3	0.00	7.3	88	89.59
Kai Marshall	COL	11	15	133	24	84	175	36	121	391	512	4	0	4	11	4	0	0	0	4	15	0.54	1.9	5.8	7.6	2.2	3.30	5.5	92.1	90.70
Kainoa Chun-Moy	PHI	5	24	55	50	50	80	63	280	276	556	5	3	5	2	1	0	1	0	2	13	0.58	3.8	1.1	4.9	7.6	1.34	9.0	99.2	95.45
Karl Ekwurtzel	ATL	13	182	3	18	208	77	149	431	1921	2352	7	15	12	0	2	0	1	0	3	31	0.59	17.4	0.0	17.4	8.4	0.00	8.4	98.8	96.95
Keith McRae	TOR	9	141	34	39	189	134	153	1134	1796	2930	9	16	8	1	12	0	1	1	12	22	0.58	16.4	0.5	16.9	8.7	0.38	9.0	92.7	92.86
Kelsen Alexander	MAD	13	55	154	73	188	241	179	1795	664	2459	22	5	14	6	9	1	1	0	11	36	0.51	15.4	2.8	18.2	8.2	1.17	9.3	94.3	94.44
Kelvin Huang	TOR	12	110	96	30	184	189	143	681	1586	2267	15	14	13	2	5	0	4	0	9	35	0.55	14.9	1.2	16.1	8.1	0.63	8.8	95.8	95.36
Ken Adams	MAD	2	0	23	73	23	35	13	67	25	92	3	1	2	1	1	0	1	0	2	5	0.37	0.4	0.4	0.9	1.9	1.26	3.2	94.4	91.67
Kennith Taylor	NY	2	0	24	29	8	32	8	16	39	55	0	0	1	0	1	0	0	0	1	0	0.64	-0.2	0.0	-0.2	-2.6	0.00	-2.6	75	90.91
Kenny Furdella	PIT	7	29	61	78	75	103	92	579	166	745	5	5	4	1	1	0	0	0	1	14	0.51	6.1	0.3	6.5	8.2	0.33	8.5	99.7	96.40
Kenny Lane III	SEA	9	17	93	100	77	127	66	359	-6	353	2	3	6	3	1	0	0	0	1	13	0.55	2.6	1.7	4.3	3.4	1.35	4.7	99.1	95.58
Kenrick Koo	SD	3	63	1	60	78	34	95	957	629	1586	14	5	7	1	4	0	0	1	3	24	0.52	11.9	0.6	12.5	15.3	1.81	17.1	96.4	95.14
Kevin Goldberg	LA	8	20	75	32	57	107	52	194	412	606	2	2	3	1	7	0	1	0	8	0	0.58	0.4	0.4	0.9	0.7	0.40	1.1	90.6	89.52
Kevin Groulx	MTL	8	152	6	63	199	114	179	1710	1014	2724	13	12	13	1	18	0	5	1	22	17	0.49	11.3	0.6	11.9	5.7	0.52	6.2	89.3	91.32
Kevin Healey	DC	11	63	76	26	112	120	40	214	603	817	3	8	3	4	1	0	2	0	3	15	0.56	5.4	2.0	7.4	4.9	1.65	6.5	97.2	94.25
Kevin Jay	TOR	10	49	74	74	102	130	63	433	152	585	3	3	2	4	4	0	0	0	4	8	0.54	2.6	1.7	4.3	2.6	1.30	3.9	93.1	92.92
Kevin Land	HTX	10	42	85	39	119	163	52	418	660	1078	3	6	5	4	11	0	0	0	11	7	0.47	3.5	1.7	5.2	3.0	1.02	4.0	85.7	86.24
Kevin Nicholl	PIT	9	19	77	29	66	113	43	201	482	683	4	3	3	2	2	0	0	0	2	10	0.53	4.6	1.1	5.6	6.9	0.95	7.9	97.2	93.41
Kevin Pettit-Scantling	MAD	4	2	42	59	33	57	26	198	136	334	1	1	7	1	3	0	1	0	4	6	0.52	0.6	0.5	1.1	1.7	0.92	2.7	90.2	90.67
Kevin Quinlan	MTL	11	213	3	41	261	133	225	1091	1602	2693	23	13	10	1	21	2	0	0	23	24	0.51	12.0	0.4	12.4	4.6	0.31	4.9	89.4	91.44
Kevin Tong	TOR	8	23	98	26	90	151	19	104	298	402	1	6	0	9	2	0	1	0	3	13	0.53	2.3	4.7	7.0	2.6	3.10	5.7	90.6	91.04
Khalif El-Salaam	SEA	12	138	141	46	256	254	209	1560	1799	3359	29	18	19	8	18	0	0	1	17	57	0.53	21.0	4.4	25.5	8.2	1.75	10.0	91.7	92.28
Kobi McCracken	LA	11	149	60	75	221	178	285	1518	510	2028	11	7	7	1	16	0	0	0	16	10	0.54	8.2	0.6	8.7	3.7	0.32	4.0	93.7	94.24
Krishna Gomatam	SD	4	0	41	74	13	54	6	70	25	95	1	0	1	0	0	0	0	0	0	2	0.58	0.8	0.0	0.8	6.1	0.00	6.1	100	92.31
Kristian Johnson	MIN	12	72	79	54	152	152	138	789	679	1468	10	5	12	2	8	0	0	0	8	21	0.48	8.5	1.1	9.5	5.6	0.69	6.3	93.9	93.75
Kyle Henke	ATX	13	255	37	55	349	196	319	3294	2724	6018	31	20	27	6	25	0	0	1	24	60	0.54	34.8	3.2	38.0	10.0	1.64	11.6	84.9	92.80
Kyle Kolafa	HTX	11	75	61	16	141	143	43	204	1043	1247	4	17	3	10	2	0	1	0	3	31	0.48	10.4	4.8	15.2	7.4	3.38	10.7	97.7	93.41
Kyle Rubin	SD	9	187	1	51	234	113	174	1578	1502	3080	17	9	23	0	10	0	0	0	10	39	0.52	19.1	0.0	19.1	8.2	0.00	8.2	95.2	93.91
Kyle Weinberg	SLC	10	10	140	62	84	177	71	664	407	1071	13	6	3	4	2	0	0	0	2	24	0.55	9.3	2.3	11.6	11.1	1.27	12.4	95.8	94.96
Landon Shank	LA	1	3	7	81	6	13	2	17	4	21	0	0	0	0	1	0	0	0	1	-1	0.43	-0.3	0.0	-0.3	-4.9	0.00	-4.9	66.7	89.80
Leo Decter	LA	7	14	50	77	39	75	37	211	63	274	1	1	3	2	3	0	0	0	3	4	0.54	0.4	1.0	1.3	1.0	1.27	2.3	93.8	91.86
Leo Sovell-Fernandez	MIN	15	246	2	59	328	156	272	2264	1552	3816	14	16	11	2	8	0	1	2	7	36	0.5	26.1	1.0	27.2	8.0	0.66	8.6	97.3	96.91
Levi Jacobs	IND	11	214	2	54	262	123	410	2627	2211	4838	29	24	18	2	11	0	4	1	14	59	0.58	33.1	0.9	34.0	12.6	0.77	13.4	97.3	97.00
Liam Haberfield	NY	13	71	105	36	157	174	101	573	1026	1599	8	14	5	7	11	1	0	2	10	24	0.6	8.8	4.0	12.8	5.6	2.28	7.9	89.7	91.67
Liam McKeown	MTL	9	9	57	59	41	78	27	236	161	397	2	6	3	0	1	0	1	0	2	9	0.49	3.0	0.0	3.0	7.4	0.00	7.4	97.1	93.24
Lincoln Grench	OAK	11	39	119	39	129	186	65	396	614	1010	9	15	5	5	5	0	1	0	6	28	0.52	7.8	2.5	10.3	6.0	1.33	7.4	93.8	92.24
Logan Call	PIT	12	34	114	20	102	171	30	156	612	768	6	7	1	5	1	1	1	0	3	16	0.52	5.8	2.9	8.7	5.7	1.68	7.4	96.4	93.51
Logan Dufour	TOR	3	8	22	66	17	39	13	60	31	91	0	0	1	0	0	0	0	0	0	1	0.61	0.6	0.0	0.6	3.4	0.00	3.4	100	93.22
Logan Pruess	COL	8	61	71	45	111	111	83	467	565	1032	3	14	5	1	2	0	0	0	2	21	0.55	8.6	0.6	9.2	7.7	0.56	8.3	95.5	95.42
Louie Bertoncin	SEA	3	0	35	98	21	44	9	52	1	53	1	1	1	1	0	0	0	0	0	4	0.52	0.7	0.5	1.2	3.4	1.22	4.6	100	92.73
Louis Gosart	LA	1	25	0	84	32	17	51	395	74	469	1	0	1	1	2	0	0	0	2	1	0.52	2.1	0.5	2.7	6.7	3.05	9.7	96.2	93.94
Luc Comire	TOR	7	100	30	68	139	101	234	1824	856	2680	21	3	17	4	11	0	1	3	9	36	0.51	17.4	1.9	19.3	12.5	1.89	14.4	94.8	95.83
Luca Harwood	BOS	7	54	23	54	77	54	53	495	419	914	4	0	4	1	4	0	0	0	4	5	0.6	4.2	0.6	4.8	5.4	1.15	6.6	89.4	92.23
Lucas Coniaris	IND	11	208	18	60	272	146	549	3048	2068	5116	20	21	25	5	21	0	2	0	23	48	0.57	27.4	2.8	30.2	10.1	1.95	12.0	96	95.94
Lucas Henry	POR	3	3	34	40	18	52	7	72	106	178	1	3	2	1	0	0	0	0	0	7	0.55	1.9	0.5	2.4	10.4	0.95	11.3	100	92.45
Lukas Ambrose	SEA	14	45	278	40	224	372	165	1165	1781	2946	19	26	12	34	10	2	0	1	11	80	0.53	21.4	18.1	39.5	9.5	4.86	14.4	92.4	94.09
Lukas McClamrock	ATL	9	9	110	76	88	151	137	882	280	1162	10	5	12	16	6	0	0	0	6	37	0.58	6.7	9.4	16.0	7.6	6.20	13.8	95.3	94.71
Luke Brennan	CHI	1	0	7	1	4	11	3	-3	4	1	0	0	0	0	2	0	0	0	2	-2	0.52	-1.0	0.0	-1.0	-25.7	0.00	-25.7	60	88.24
Luke Marks	MAD	14	4	215	44	153	284	58	530	668	1198	12	16	3	16	5	0	3	0	8	39	0.51	9.1	8.0	17.1	6.0	2.82	8.8	92.2	91.74
Luke Norby	DAL	5	64	19	48	108	79	36	403	432	835	5	3	7	2	6	0	2	0	8	9	0.45	3.2	0.9	4.1	2.9	1.19	4.1	88.4	88.64
Luke Rehfuss	DC	11	1	124	18	77	154	34	116	530	646	2	7	3	4	2	0	1	0	3	13	0.54	4.3	1.9	6.2	5.5	1.25	6.8	95.4	92.68
Luke Webb	BOS	13	1	165	32	88	199	31	262	559	821	4	6	1	7	1	0	0	0	1	17	0.56	6.6	3.8	10.4	7.5	1.91	9.4	98.6	93.59
Luke Yorgason	SLC	11	194	14	83	245	128	481	3813	809	4622	9	5	23	4	17	0	1	0	18	23	0.54	22.4	2.2	24.6	9.1	1.72	10.9	96.7	96.14
Mac Weber	MAD	12	45	208	69	199	296	153	1077	495	1572	12	4	16	11	8	0	1	0	9	34	0.51	8.6	5.5	14.1	4.3	1.87	6.2	94.8	94.20
Mace Chope	IND	1	0	14	48	15	29	8	39	43	82	0	1	1	4	0	0	1	0	1	5	0.51	0.2	2.0	2.2	1.3	7.00	8.3	100	92.59
Mahith Edula	PIT	3	2	25	100	14	39	13	47	-19	28	0	0	0	0	1	0	0	0	1	-1	0.49	-0.2	0.0	-0.2	-1.4	0.00	-1.4	83.3	91.67
Malachi Marshall	PIT	8	30	69	74	76	106	63	464	160	624	4	0	4	1	4	0	1	0	5	4	0.53	2.1	0.6	2.7	2.8	0.53	3.3	95.7	92.92
Marc Munoz	SEA	9	111	58	57	170	135	211	1171	883	2054	13	9	15	2	9	0	1	0	10	29	0.52	12.0	1.0	13.0	7.0	0.74	7.8	95.9	95.11
Marc Rovner	CAR	1	0	15	12	19	34	10	5	37	42	0	2	1	1	2	0	0	0	2	2	0.42	-0.2	0.4	0.2	-1.0	1.22	0.2	83.3	89.66
Marcel Oliart	PIT	7	131	0	20	168	88	128	425	1708	2133	5	13	9	0	10	0	1	1	10	17	0.54	11.8	0.0	11.8	7.0	0.00	7.0	93.4	92.90
Marco Dewey	DET	10	142	31	43	196	153	116	665	866	1531	7	5	4	4	4	0	3	0	7	13	0.48	8.8	1.8	10.5	4.5	1.16	5.6	94.8	95.18
Mario Moran	DET	2	5	11	10	5	16	2	3	26	29	0	0	0	0	0	0	0	0	0	0	0.57	0.2	0.0	0.2	3.7	0.00	3.7	100	91.67
Mark Baldauf	HTX	12	97	122	73	194	254	208	1704	636	2340	12	13	3	2	24	1	2	1	26	4	0.49	7.3	0.9	8.1	3.7	0.33	4.1	87.9	90.25
Mark Evans	ATX	6	93	7	58	139	78	181	1263	905	2168	16	7	8	2	18	1	0	3	16	17	0.49	10.7	1.0	11.7	7.7	1.25	8.9	75.8	92.15
Mark Gazzerro	PHI	3	0	31	1	21	42	5	8	129	137	0	1	1	0	0	0	1	0	1	1	0.57	0.6	0.0	0.6	2.9	0.00	2.9	100	92.16
Mark Henke	ATX	12	54	162	26	156	235	81	459	1404	1863	6	20	9	5	5	1	0	1	5	35	0.54	14.2	2.2	16.3	9.1	0.93	10.0	87.1	93.89
Mark Philipson	PHI	7	56	20	86	75	55	85	472	75	547	3	3	4	0	6	0	1	0	7	3	0.57	1.0	0.0	1.0	1.3	0.00	1.3	94.4	92.70
Marques Brownlee	NY	12	5	163	81	95	206	86	783	184	967	10	2	9	5	13	0	1	1	13	13	0.6	1.3	2.6	3.9	1.4	1.24	2.6	85.6	88.89
Marshall Crawford	SD	6	6	87	25	49	110	25	146	431	577	2	3	1	6	2	1	0	1	2	10	0.56	3.5	3.2	6.6	7.1	2.87	10.0	88.3	93.06
Marshall Dinges	HTX	6	49	34	12	78	77	37	71	532	603	0	5	4	2	0	0	3	0	3	8	0.5	3.2	1.0	4.1	4.1	1.25	5.3	100	95.18
Marshall Wildmann	LA	5	20	48	48	50	74	46	229	246	475	2	2	2	3	4	0	0	0	4	5	0.57	1.3	1.7	3.1	2.7	2.36	5.0	92.5	91.67
Martin Shiu	TOR	6	11	61	22	29	77	4	20	69	89	0	2	1	3	1	0	0	0	1	5	0.57	0.3	1.7	2.0	1.0	2.21	3.2	75	90.20
Martis Artis	POR	1	1	15	1	10	25	3	-8	96	88	0	1	1	0	1	0	0	0	1	1	0.49	0.3	0.0	0.3	2.5	0.00	2.5	75	90.00
Marty Adams	MIN	1	3	13	66	15	28	14	46	24	70	1	0	1	0	0	0	0	0	0	2	0.52	0.6	0.0	0.6	4.2	0.00	4.2	100	93.33
Mason Zetsch	ATX	10	12	117	34	69	154	39	120	383	503	1	5	5	1	8	0	0	1	7	5	0.55	1.2	0.5	1.7	1.7	0.35	2.1	71	88.04
Matej Petrovic	MIN	8	1	102	20	63	130	20	71	292	363	2	6	3	9	2	0	0	0	2	18	0.53	2.9	4.2	7.1	4.5	3.26	7.8	96.3	91.18
Mateo Dominguez	LA	6	3	53	71	33	71	29	92	37	129	0	1	0	1	4	0	0	0	4	-2	0.56	-1.2	0.6	-0.6	-3.7	0.84	-2.8	78.5	89.87
Mathieu Agee	COL	10	8	136	31	95	183	25	173	380	553	4	8	4	11	1	0	0	0	1	26	0.54	5.3	6.0	11.3	5.5	3.28	8.8	94.4	93.06
Matt Bennett	HTX	10	156	52	100	240	191	361	3231	-259	2972	28	4	12	6	32	0	1	2	31	19	0.49	10.1	2.8	12.9	4.2	1.46	5.7	91.7	92.22
Matt Grinde	MAD	6	0	64	20	52	87	13	49	194	243	0	6	3	2	0	0	1	0	1	10	0.48	2.2	1.0	3.2	4.3	1.11	5.4	100	93.22
Matt Hanna	PHI	10	74	82	13	120	144	56	138	937	1075	4	11	3	4	2	0	2	0	4	18	0.56	7.7	1.9	9.6	6.4	1.34	7.7	91.7	94.23
Matt Jackson	COL	12	47	106	75	114	158	108	584	199	783	4	7	5	1	3	0	1	0	4	13	0.54	4.8	0.6	5.4	4.2	0.39	4.6	98.1	95.54
Matt LaBar	NY	11	61	91	1	118	136	55	65	791	856	5	10	6	3	5	0	0	0	5	19	0.61	5.3	1.8	7.2	4.5	1.35	5.9	88	91.51
Matt Lyle	HTX	4	32	2	41	48	28	21	82	118	200	0	1	1	0	2	0	1	0	3	-1	0.46	0.0	0.0	0.0	-0.1	0.00	-0.1	89.6	91.30
Matt Miller	SD	11	242	10	70	300	154	473	4156	1806	5962	24	17	30	6	27	0	2	1	28	49	0.55	29.7	3.3	33.0	9.9	2.14	12.0	94.2	94.50
Matt Russnogle	SLC	13	40	145	20	124	193	32	224	936	1160	4	21	3	6	5	0	0	0	5	29	0.54	9.4	3.2	12.6	7.6	1.67	9.2	82.4	89.16
Matt Smith	ATL	7	98	3	45	123	42	101	755	924	1679	4	10	12	2	1	0	0	0	1	27	0.59	12.7	1.2	13.9	10.3	2.81	13.1	99.5	96.62
Matt Tucker	CAR	15	1	216	14	124	278	38	150	907	1057	5	13	6	18	3	0	0	0	3	39	0.53	8.3	9.6	17.9	6.7	3.46	10.1	87.2	91.95
Matt Viscido	PIT	2	2	16	42	10	26	9	27	38	65	1	0	0	0	1	0	0	0	1	0	0.46	0.1	0.0	0.1	1.3	0.00	1.3	91.7	91.07
Matthew Armour	ATX	11	90	117	59	174	186	199	1831	1297	3128	21	13	22	6	14	0	3	0	17	45	0.55	16.7	3.1	19.8	9.6	1.68	11.3	85	93.05
Matthew Bell	DET	3	9	19	88	20	34	18	91	12	103	0	0	1	0	1	0	0	0	1	0	0.48	0.2	0.0	0.2	1.1	0.00	1.1	95.8	92.31
Matthew Burke	OAK	13	3	217	43	115	274	47	433	563	996	7	4	4	10	3	0	0	0	3	22	0.52	6.8	5.3	12.2	5.9	1.95	7.9	92.9	92.71
Matthew Johnson	MIN	10	4	119	27	99	169	20	63	169	232	0	3	5	4	1	0	1	0	2	10	0.52	1.2	2.0	3.2	1.2	1.20	2.4	90	92.54
Matthew Lam	TOR	4	10	37	49	24	53	11	52	55	107	0	0	0	0	4	0	1	0	5	-5	0.62	-2.3	0.0	-2.3	-9.4	0.00	-9.4	81.7	86.89
Matthew Nightingale	CAR	1	0	15	28	19	34	4	46	119	165	0	1	1	1	3	0	0	0	3	0	0.42	0.0	0.4	0.4	-0.1	1.22	1.2	57.1	86.79
Matthew Rehder	MIN	11	159	31	47	223	148	120	1259	1413	2672	7	14	18	14	15	0	1	1	15	38	0.49	14.4	6.0	20.4	6.5	4.04	10.5	87.7	90.00
Matthias Ling	NY	8	0	98	30	47	118	13	33	77	110	0	1	1	4	1	0	0	0	1	5	0.58	0.3	2.4	2.6	0.6	1.99	2.6	93.3	91.67
Mauricio Galeano	DET	2	7	11	73	9	20	9	52	19	71	0	0	0	0	1	0	0	0	1	-1	0.49	0.0	0.0	0.0	0.1	0.00	0.1	93.8	91.07
Max Dehlin	MIN	3	6	27	66	23	42	17	111	57	168	0	1	2	0	1	0	0	0	1	2	0.44	0.9	0.0	0.9	3.7	0.00	3.7	83.3	92.19
Max Devine	PIT	6	25	58	20	64	94	42	124	510	634	0	5	3	2	3	0	0	0	3	7	0.51	3.7	1.1	4.7	5.7	1.12	6.8	94.9	92.31
Max Gibson	SD	10	133	83	43	195	173	125	1212	1561	2773	17	18	16	8	18	0	2	1	19	40	0.56	14.1	4.4	18.4	7.2	2.52	9.7	87.1	88.83
Max Grove	HTX	8	72	73	47	122	149	101	666	758	1424	8	4	10	4	8	1	4	0	13	13	0.5	4.7	1.9	6.6	3.8	1.28	5.1	91.8	92.26
Max Hamilton	DAL	3	3	32	100	17	49	15	137	-8	129	0	1	2	0	2	0	0	0	2	1	0.47	0.1	0.0	0.1	0.8	0.00	0.8	86.9	90.48
Max Lopez	ATL	1	0	11	100	8	19	2	-9	6	-3	0	1	0	1	0	0	1	0	1	1	0.55	-0.4	0.6	0.2	-4.8	2.91	-1.9	100	91.67
Max Sample	MAD	10	157	7	28	193	107	153	782	1963	2745	16	11	14	4	7	0	4	1	10	35	0.53	17.1	1.9	19.0	8.9	1.76	10.6	94.6	95.12
Max Sheppard	PIT	8	124	18	38	166	121	124	887	1460	2347	18	11	2	4	19	0	3	2	20	15	0.51	10.9	1.8	12.7	6.6	1.46	8.0	84.1	88.77
Max Trifillis	PHI	11	44	211	31	152	281	89	523	1141	1664	11	20	5	16	3	0	2	0	5	47	0.57	13.5	8.9	22.4	8.9	3.17	12.1	96.7	94.93
Max Williams	OAK	7	145	10	23	181	88	101	406	1372	1778	10	14	11	2	4	0	3	0	7	30	0.54	12.2	1.1	13.2	6.7	1.21	7.9	96.3	94.70
Maxwell Hume	SD	9	45	107	35	113	159	80	484	946	1430	10	5	7	1	5	0	0	0	5	18	0.56	9.1	0.5	9.6	8.0	0.33	8.3	94.2	93.13
McKay Yorgason	SLC	10	114	58	93	167	136	340	2180	116	2296	11	5	13	1	8	0	0	0	8	22	0.55	13.3	0.6	13.8	8.0	0.42	8.4	97.7	96.95
Melvyn Brichet	MTL	9	8	88	26	76	129	38	148	415	563	5	3	3	4	5	0	0	0	5	10	0.49	3.0	1.8	4.8	4.0	1.36	5.3	91.4	89.89
Michael Buyco	SEA	4	1	38	44	19	57	2	28	36	64	0	2	1	0	0	0	0	0	0	3	0.55	0.8	0.0	0.8	4.1	0.00	4.1	#DIV/0!	91.67
Michael Dillard	PIT	11	28	142	64	118	202	104	401	221	622	5	4	6	3	3	0	2	0	5	13	0.52	2.9	1.6	4.5	2.4	0.78	3.2	97.5	95.42
Michael Fairley	ATL	10	22	143	48	99	183	90	482	526	1008	10	4	2	8	4	0	0	0	4	20	0.59	6.7	4.6	11.3	6.8	2.51	9.3	95.3	94.29
Michael Johnson	ATL	1	0	4	50	2	6	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0.55	0.0	0.6	0.6	0.0	9.20	9.2	#DIV/0!	91.30
Michael Jordan	MIN	6	69	2	51	97	49	36	322	311	633	1	4	6	3	4	0	2	0	6	8	0.49	1.9	1.4	3.3	2.0	2.81	4.8	88.8	90.70
Michael Kiyoi	LA	11	224	0	63	272	126	278	1788	1066	2854	17	14	17	3	11	0	1	0	12	39	0.55	17.3	1.4	18.7	6.4	1.12	7.5	95.5	95.52
Michael Lee	CAR	2	0	29	100	26	44	25	208	-25	183	2	2	2	2	2	0	0	0	2	6	0.45	1.1	0.8	1.9	4.1	1.89	6.0	95	91.78
Michael Maroon	PHI	7	40	21	10	54	46	43	91	794	885	3	3	5	1	2	0	0	0	2	10	0.58	5.5	0.6	6.1	10.1	1.40	11.5	96.4	93.41
Michael Tran	SD	9	33	112	79	100	152	119	1136	293	1429	12	7	12	7	6	0	0	0	6	32	0.55	9.5	3.8	13.3	9.5	2.52	12.0	94.6	94.15
Michael-Angelo Humm	ATL	3	0	21	25	10	31	1	4	12	16	0	0	0	0	0	0	0	0	0	0	0.58	0.1	0.0	0.1	1.0	0.00	1.0	100	91.49
Mick Walter	ATX	12	26	144	49	106	196	51	386	333	719	1	7	3	13	2	0	0	0	2	22	0.54	5.0	6.8	11.8	4.7	3.48	8.2	86.4	93.94
Mike Campanella	PHI	11	32	119	60	84	154	140	539	363	902	7	3	6	4	3	0	1	0	4	16	0.57	5.5	2.3	7.8	6.5	1.49	8.0	98.4	96.30
Mike Drost	NY	12	0	152	15	73	180	21	70	383	453	1	6	3	4	0	0	1	0	1	13	0.6	3.7	2.2	5.9	5.1	1.21	6.3	100	94.03
Mike Kobyra	ATL	12	4	191	50	107	233	59	248	253	501	5	1	3	10	3	0	0	0	3	16	0.58	2.6	5.9	8.4	2.4	2.52	4.9	96.5	93.52
Mikey O'Brien	SEA	14	69	194	21	202	276	120	365	1355	1720	16	16	15	21	4	0	0	0	4	64	0.53	14.8	11.0	25.8	7.3	3.97	11.3	97.3	95.29
Milan Ravenell	LA	8	47	99	40	107	160	34	324	492	816	4	6	7	6	5	1	2	0	8	15	0.56	2.4	3.6	6.0	2.2	2.26	4.5	88.2	89.41
Milan Rivas	CHI	12	150	22	88	220	125	222	1044	149	1193	9	7	10	1	9	0	0	0	9	18	0.48	6.8	0.3	7.1	3.1	0.27	3.4	96.4	95.31
Miles Grovic	DC	11	7	140	1	97	183	28	70	972	1042	2	17	6	9	0	0	0	0	0	34	0.56	10.1	5.4	15.5	10.5	2.94	13.4	100	94.59
Mitch Lutz	HTX	4	49	1	71	60	34	59	570	236	806	5	5	3	1	4	0	1	1	4	10	0.54	4.8	0.5	5.3	8.0	1.47	9.5	93.4	93.52
Mitchell Blaha	DC	1	0	14	15	5	19	3	3	17	20	0	0	0	0	0	0	0	0	0	0	0.63	0.1	0.0	0.1	2.6	0.00	2.6	100	91.84
Mitchell McCarthy	MAD	14	57	227	62	218	325	176	1684	1046	2730	23	15	17	17	16	0	1	0	17	55	0.51	16.2	7.9	24.0	7.4	2.41	9.8	92.2	91.60
Mitchell Steiner	LA	12	53	194	55	168	300	173	886	723	1609	14	4	10	15	15	0	0	2	13	30	0.55	6.9	7.9	14.8	4.1	2.63	6.7	93.3	92.67
Morey Averill	PIT	3	8	31	1	22	41	8	10	143	153	0	2	0	1	0	0	0	0	0	3	0.57	1.3	0.6	1.9	6.1	1.38	7.5	100	92.59
Morgan Sommer	OAK	10	35	97	43	115	154	41	328	476	804	3	2	6	8	6	0	0	0	6	13	0.53	2.9	4.2	7.0	2.5	2.69	5.2	86.1	89.25
Moussa Dia	DC	2	26	5	21	29	17	29	106	420	526	1	3	4	0	3	0	0	0	3	5	0.6	2.3	0.0	2.3	8.0	0.00	8.0	90	91.03
Myles Armstrong	DAL	11	203	17	24	293	185	207	840	2476	3316	15	25	21	4	14	0	4	1	17	48	0.49	20.2	1.8	22.0	6.9	0.98	7.9	93	93.61
Myles Cooper	ATX	2	0	30	17	22	40	7	21	105	126	0	1	0	0	1	0	0	0	1	0	0.53	0.5	0.0	0.5	2.1	0.00	2.1	91.7	90.74
Nanda Min-Fink	COL	9	152	13	47	184	94	295	1491	1680	3171	17	9	19	1	12	0	2	1	13	33	0.55	18.1	0.6	18.7	9.8	0.66	10.5	96.3	95.74
Nate Astrom	CHI	12	30	193	50	166	286	81	748	747	1495	19	9	6	19	8	0	2	0	10	43	0.5	10.0	9.0	19.0	6.0	3.16	9.2	90	91.11
Nate Knutson	POR	11	103	122	1	183	235	65	-20	1353	1333	2	17	5	5	3	0	4	1	6	23	0.53	8.9	2.9	11.7	4.9	1.21	6.1	97.3	94.69
Nate Little	PHI	9	20	98	41	72	139	35	450	657	1107	8	5	5	4	5	0	2	0	7	15	0.57	5.5	2.3	7.8	7.6	1.68	9.3	81.1	89.53
Nate Long	PHI	3	0	30	100	24	40	23	208	-40	168	1	0	1	2	1	0	0	0	1	3	0.5	0.8	1.0	1.8	3.4	2.41	5.8	97	92.86
Nate Wipfler	SEA	2	0	19	1	7	26	3	-12	39	27	0	0	0	1	0	0	0	0	0	1	0.54	0.2	0.5	0.7	2.5	2.04	4.5	100	91.84
Nathan Hsieh	TOR	7	46	74	28	91	114	35	337	863	1200	10	15	5	3	4	1	1	0	6	27	0.57	8.7	1.7	10.4	9.6	1.47	11.0	91.6	90.59
Nathan Huff	SLC	11	39	128	27	114	174	76	218	553	771	8	4	9	7	5	0	0	0	5	23	0.53	4.5	3.6	8.1	4.0	2.07	6.0	94.4	92.91
Nathan Ploeger	DET	8	94	23	27	134	110	56	343	942	1285	5	10	7	2	7	0	1	0	8	16	0.49	7.4	1.0	8.4	5.5	0.90	6.4	84.9	89.91
Nathanial Dick	BOS	11	177	0	93	224	101	542	3377	240	3617	18	3	24	1	13	0	2	0	15	31	0.56	18.4	0.6	19.0	8.2	0.57	8.8	97.7	97.17
Nathaniel Austin	DAL	11	123	51	22	193	161	61	416	1433	1849	7	15	7	4	9	0	1	0	10	23	0.49	10.6	1.8	12.4	5.5	1.14	6.6	89.9	88.79
Nic Lanas	DET	8	125	30	37	172	135	135	621	1070	1691	11	5	7	2	9	1	1	2	9	16	0.5	9.5	1.1	10.6	5.5	0.83	6.4	93.9	94.15
Nicholas Akers	DET	5	4	41	23	29	60	14	37	125	162	0	1	0	0	1	0	0	0	1	0	0.52	0.7	0.0	0.7	2.3	0.00	2.3	96.3	91.80
Nicholas Betsch	IND	8	72	61	39	120	111	167	780	1202	1982	10	10	8	4	11	0	1	0	12	20	0.56	9.8	2.3	12.1	8.2	2.09	10.3	93.5	93.30
Nicholas Dahms	POR	7	5	58	59	26	74	15	143	99	242	0	0	2	3	1	0	0	0	1	4	0.55	1.1	1.7	2.8	4.0	2.32	6.4	98	91.94
Nicholas DiGiorgio	DAL	10	202	2	30	286	165	184	865	1997	2862	13	19	5	4	11	1	3	0	15	26	0.48	17.1	1.9	18.9	6.0	1.12	7.1	94.9	93.78
Nicholas Snuszka	COL	11	4	131	17	71	164	33	88	426	514	4	11	3	8	1	0	1	0	2	24	0.54	5.0	4.3	9.3	7.1	2.59	9.7	90.9	93.75
Nick Hutton	IND	10	14	149	96	84	192	86	792	37	829	13	1	5	12	10	0	3	2	11	20	0.57	2.1	6.5	8.7	2.5	3.40	5.9	88.7	91.43
Nick Loughran	ATX	9	5	104	54	72	139	28	271	232	503	3	6	4	5	3	0	0	0	3	15	0.53	3.1	2.7	5.8	4.3	1.91	6.2	85.3	90.91
Nick Pappas	CHI	10	1	111	25	79	160	20	60	181	241	0	3	1	5	2	0	3	0	5	4	0.52	-0.5	2.3	1.8	-0.7	1.44	0.8	78.6	91.18
Nick Redmond	POR	9	54	97	84	118	171	137	1089	216	1305	11	2	5	1	11	1	0	1	11	8	0.53	4.9	0.5	5.4	4.1	0.31	4.4	91.8	92.75
Noah Celuch	PIT	10	64	91	47	133	164	136	592	678	1270	11	2	6	4	12	1	0	1	12	11	0.5	5.1	1.8	6.9	3.9	1.09	5.0	93.1	92.23
Noah Coolman	COL	10	173	50	42	246	163	287	1828	2509	4337	28	25	19	11	18	0	2	1	19	64	0.54	27.7	5.8	33.5	11.3	3.54	14.8	93.2	94.00
Noah Hanson	MIN	13	3	184	37	140	262	47	369	633	1002	6	11	7	13	6	0	0	1	5	32	0.48	7.1	6.4	13.4	5.0	2.42	7.5	90.4	90.82
Noah Nicol	MAD	6	47	37	49	95	88	55	414	438	852	3	3	5	3	1	0	2	0	3	11	0.51	5.1	1.7	6.7	5.3	1.89	7.2	98.3	95.10
Noah Powell	ATX	6	3	93	19	56	116	10	36	150	186	1	2	2	4	2	0	0	0	2	7	0.57	0.6	2.2	2.9	1.1	1.93	3.0	83.3	89.66
Noah Sawyer	DET	7	86	16	100	120	92	143	879	-134	745	1	2	8	1	14	0	1	0	15	-3	0.49	-1.2	0.6	-0.6	-1.0	0.65	-0.3	86.4	91.13
Noah Wahl	IND	1	6	10	54	16	26	18	65	56	121	0	0	0	0	2	0	0	0	2	-2	0.51	-0.2	0.0	-0.2	-1.5	0.00	-1.5	90	90.91
Oakley Armstrong	DAL	6	5	70	21	41	98	10	41	156	197	0	2	0	2	1	0	1	0	2	2	0.48	0.7	1.0	1.6	1.6	0.97	2.6	90	91.23
Oliver Artus	SD	9	152	1	14	184	87	57	223	1415	1638	4	21	4	2	7	0	1	0	8	23	0.56	10.8	1.0	11.9	5.9	1.17	7.1	88.6	90.00
Oliver Chartock	NY	12	234	10	38	266	115	253	1611	2670	4281	19	27	23	4	13	0	1	0	14	59	0.59	27.8	2.0	29.7	10.4	1.71	12.2	95	94.55
Oliver Fay	ATX	9	20	136	31	94	180	49	343	770	1113	10	7	6	9	2	0	1	0	3	29	0.53	8.9	4.8	13.7	9.5	2.68	12.1	81.4	93.81
Oren Binnun	TOR	5	14	62	62	40	80	51	402	247	649	6	0	1	1	4	0	0	0	4	4	0.58	3.1	0.6	3.7	7.7	0.80	8.5	90.3	92.08
Orion Cable	BOS	9	133	29	1	169	102	125	58	2548	2606	5	36	14	5	11	1	0	1	11	49	0.58	17.7	2.8	20.5	10.5	2.75	13.2	90.3	92.27
Oscar Brown	SLC	7	11	79	91	51	101	42	280	22	302	4	0	4	4	2	0	0	0	2	10	0.55	1.6	2.2	3.7	3.0	2.15	5.2	97.4	93.33
Oscar Graff	BOS	5	0	55	1	28	63	16	-4	200	196	1	6	1	1	0	0	1	0	1	8	0.6	1.9	0.6	2.5	6.9	0.96	7.9	100	93.55
Oscar Kohut	NY	1	0	16	36	6	22	1	9	16	25	1	2	1	0	0	0	0	0	0	4	0.64	0.7	0.0	0.7	11.9	0.00	11.9	100	91.49
Oscar Stonehouse	TOR	6	96	19	23	132	87	88	406	1365	1771	9	15	8	5	9	1	1	1	10	27	0.5	11.1	2.5	13.6	8.4	2.82	11.2	90.9	91.55
Owen Cordes	BOS	3	0	19	83	15	34	15	65	13	78	1	0	1	1	0	0	1	0	1	2	0.52	0.3	0.5	0.8	1.8	1.58	3.3	100	93.44
Owen Johnson	DAL	5	22	38	16	47	63	20	102	532	634	5	4	2	5	1	0	0	0	1	15	0.49	5.3	2.1	7.4	11.2	3.33	14.6	96	92.54
Owen Robinson	TOR	11	106	77	71	182	169	201	1563	627	2190	3	7	13	3	9	0	2	0	11	15	0.55	9.4	1.7	11.1	5.2	1.02	6.2	93.8	94.92
Pat Shriwise	MAD	7	103	0	68	122	58	204	1539	728	2267	7	6	22	0	6	0	1	0	7	28	0.56	12.8	0.0	12.8	10.5	0.00	10.5	97.7	96.09
Patrick Buermeyer	POR	4	3	30	73	16	46	1	59	22	81	1	1	0	1	2	0	0	0	2	1	0.53	-0.3	0.6	0.3	-1.8	1.19	-0.6	33.3	87.76
Paul Hooley	MTL	8	8	60	27	41	85	28	60	160	220	0	1	1	1	2	0	2	0	4	-1	0.51	-0.5	0.6	0.1	-1.2	0.65	-0.6	93.9	92.11
Paul Krenik	MIN	10	57	152	46	179	247	78	597	688	1285	5	13	10	5	2	0	1	0	3	30	0.51	9.8	2.6	12.3	5.5	1.04	6.5	97.7	95.24
Paul Owens	PHI	12	102	127	33	184	220	267	782	1564	2346	15	17	14	4	12	0	0	1	11	39	0.58	14.6	2.3	16.8	7.9	1.03	9.0	95.3	95.37
Pawel Janas	LA	11	254	0	82	300	138	679	4873	1090	5963	41	12	40	1	25	0	1	0	26	68	0.55	33.8	0.5	34.3	11.3	0.36	11.6	96.3	96.13
Payton Laurie	OAK	5	2	62	12	34	78	5	19	136	155	1	1	0	1	3	0	0	0	3	0	0.57	-0.5	0.6	0.2	-1.4	0.81	-0.6	70.8	87.04
Pete Zaccardi	PIT	12	63	155	43	156	247	105	729	960	1689	10	14	2	7	13	0	1	1	13	20	0.52	8.7	3.2	11.9	5.6	1.29	6.9	89.6	90.18
Peter Cauchy	PHI	3	14	15	82	21	22	26	135	30	165	1	1	2	0	1	0	0	0	1	3	0.69	0.8	0.0	0.8	3.7	0.00	3.7	98.2	93.15
Peter Boerth	BOS	12	85	104	30	153	168	164	716	1711	2427	23	20	7	5	12	0	0	1	11	44	0.57	17.4	2.8	20.2	11.4	1.68	13.0	94.3	93.21
Peter Lenz	SD	10	194	2	61	240	117	248	2044	1292	3336	12	20	13	3	14	0	2	0	16	32	0.54	18.6	1.7	20.3	7.8	1.42	9.2	95	94.16
Phil Turner	TOR	4	22	54	50	61	89	39	357	350	707	4	3	1	11	3	0	1	0	4	15	0.53	3.7	6.0	9.6	6.0	6.70	12.7	90.2	92.05
Phillip Joyce	BOS	2	0	19	65	8	27	3	26	14	40	0	0	0	2	1	0	0	0	1	1	0.57	-0.3	1.2	0.8	-4.0	4.27	0.3	83.3	90.00
Phillip Korolog	SEA	10	5	83	32	63	115	26	154	333	487	3	4	4	4	3	0	1	0	4	11	0.53	2.4	2.1	4.5	3.8	1.85	5.7	73.2	90.67
Phillipe Le Bourdais	MTL	11	170	1	14	223	111	58	216	1365	1581	7	24	7	1	6	0	1	0	7	32	0.49	12.3	0.5	12.8	5.5	0.41	6.0	89.4	90.91
Pieran Robert	MAD	13	42	196	22	164	264	56	353	1260	1613	10	30	11	11	1	0	0	0	1	61	0.53	17.2	5.8	23.0	10.5	2.21	12.7	98.6	95.15
Porter Oyler	SLC	4	0	58	51	29	71	13	151	145	296	1	2	2	2	2	0	0	0	2	5	0.55	1.5	1.1	2.6	5.0	1.58	6.6	77.8	90.16
Quentin Bonnaud	MTL	12	245	1	23	305	158	217	970	3175	4145	16	38	20	5	12	0	0	1	11	68	0.5	31.0	2.6	33.6	10.2	1.62	11.8	94.4	94.53
Quinn Buermeyer	POR	12	217	45	28	292	212	168	645	1691	2336	5	16	13	6	6	0	2	2	6	34	0.54	15.6	3.1	18.6	5.3	1.45	6.8	96.5	96.33
Quinn Finer	COL	5	100	1	55	121	50	160	1283	1033	2316	21	7	11	0	6	0	1	0	7	32	0.54	16.1	0.0	16.1	13.3	0.00	13.3	96.8	95.28
Quinn Garner	DET	11	131	49	74	193	184	206	1782	624	2406	8	9	15	2	25	1	1	0	27	7	0.48	5.9	0.7	6.5	3.0	0.37	3.4	90.1	89.53
Quinn Snider	MIN	8	128	10	18	173	106	76	310	1456	1766	4	24	9	2	5	0	3	0	8	31	0.48	13.3	0.8	14.1	7.7	0.76	8.5	94.9	92.91
Raekwon Adkins	OAK	7	142	7	15	174	73	160	406	2355	2761	6	31	15	1	7	0	1	1	7	46	0.54	20.7	0.5	21.2	11.9	0.72	12.6	95.4	95.28
Rafael Castro	OAK	3	0	36	40	21	50	3	38	56	94	1	0	0	0	0	0	0	0	0	1	0.49	0.8	0.0	0.8	3.7	0.00	3.7	100	91.84
Rami Paust	DC	4	1	33	40	22	45	8	58	88	146	0	1	1	0	0	0	0	0	0	2	0.53	1.1	0.0	1.1	5.1	0.00	5.1	100	92.59
Ramzi Musleh	CAR	1	1	13	35	20	27	7	28	53	81	1	1	0	1	1	0	0	1	0	3	0.42	0.9	0.4	1.3	4.4	1.54	6.0	87.5	92.45
Raphaël Lalonde-Landry	MTL	8	65	75	14	132	144	106	135	798	933	5	8	8	3	5	0	2	0	7	17	0.47	4.9	1.5	6.5	3.7	1.05	4.8	94.6	94.27
Raphael Salvas	MTL	5	7	49	10	34	69	14	18	162	180	1	1	1	1	2	0	0	0	2	2	0.54	0.5	0.5	1.0	1.3	0.77	2.1	92.1	90.32
Raul Rosenfeld	CHI	2	0	18	70	11	29	2	46	20	66	1	0	0	0	0	0	0	0	0	1	0.51	0.6	0.0	0.6	5.5	0.00	5.5	100	91.67
Ray Mauntel	CHI	12	0	84	1	81	134	13	10	148	158	1	3	0	5	1	0	1	0	2	7	0.48	1.1	2.0	3.1	1.3	1.52	2.8	93.3	91.67
Ray Ye	SEA	1	0	13	48	5	18	7	63	68	131	3	0	0	0	0	0	0	0	0	3	0.53	1.4	0.0	1.4	27.7	0.00	27.7	100	92.45
Raymond Malachi	BOS	2	0	15	18	7	22	1	4	18	22	0	1	0	1	0	0	0	0	0	2	0.65	0.3	0.7	1.0	4.6	2.97	7.6	100	91.49
Reed Browning	BOS	14	0	162	26	77	188	33	165	460	625	9	5	1	4	3	0	1	0	4	15	0.56	4.4	2.3	6.7	5.8	1.22	7.0	95.4	91.46
Reese Bowman	ATX	10	122	62	40	185	149	119	846	1257	2103	14	13	10	5	9	0	2	2	9	33	0.55	13.3	2.7	16.0	7.2	1.78	9.0	83.4	93.60
Reggie Sung	SD	7	4	76	34	46	104	5	32	70	102	0	2	2	3	1	0	0	0	1	6	0.55	0.3	1.6	1.9	0.7	1.54	2.3	75	90.38
Reid Duncan	PIT	4	1	46	36	26	60	5	33	59	92	1	3	0	2	0	0	0	0	0	6	0.54	1.3	1.2	2.5	5.1	2.02	7.1	100	92.16
Reid Martin	CHI	4	3	37	45	46	66	23	77	95	172	1	1	1	3	3	0	0	0	3	3	0.47	0.3	1.0	1.3	0.7	1.53	2.2	86.5	90.28
Rhys Bergeron	DC	13	5	196	47	105	240	71	390	432	822	6	8	6	9	6	0	1	0	7	22	0.56	4.1	4.6	8.7	3.9	1.91	5.8	90.8	91.87
Rhys Gretsch	LA	8	50	88	67	113	151	110	986	490	1476	7	4	5	1	15	0	1	2	14	3	0.56	3.6	0.5	4.0	3.2	0.30	3.4	87	89.94
Richard Ware	DET	11	55	107	1	118	184	37	6	412	418	0	5	3	2	1	0	3	0	4	6	0.48	1.7	1.0	2.7	1.4	0.54	1.9	98.9	94.05
Rick Gross	IND	10	186	24	51	229	122	345	1324	1276	2600	13	13	19	3	6	0	4	0	10	38	0.59	15.8	1.7	17.5	6.9	1.40	8.3	98.1	97.48
Ridge Huang	OAK	4	83	4	74	97	33	171	1262	445	1707	10	6	9	1	8	0	0	1	7	19	0.58	9.9	0.6	10.5	10.2	1.94	12.1	95.5	95.09
Roan Dunkerley	BOS	4	7	36	1	34	52	9	11	140	151	1	2	0	3	2	0	0	1	1	5	0.51	1.0	1.7	2.7	3.0	3.25	6.2	75	91.07
Robby Davenport	IND	8	17	102	43	77	141	71	296	386	682	5	6	5	6	1	0	1	0	2	20	0.56	5.2	3.4	8.5	6.7	2.38	9.1	98.6	95.76
Robert Elston	NY	3	1	28	40	24	38	14	101	151	252	2	2	1	3	0	0	0	0	0	8	0.58	2.3	1.7	4.1	9.8	4.57	14.3	100	93.33
Robert Hausmann	ATX	4	0	46	24	29	59	9	34	107	141	0	3	1	2	2	0	0	0	2	4	0.46	0.6	0.9	1.5	2.0	1.46	3.5	82.5	89.47
Robert Yeagle	OAK	9	2	107	10	52	131	13	18	160	178	2	3	2	3	1	0	1	0	2	8	0.53	1.1	1.5	2.6	2.1	1.16	3.2	91.7	91.67
Robin Maillard	PIT	2	0	20	1	13	33	3	6	68	74	0	1	1	1	0	0	0	0	0	3	0.47	0.7	0.6	1.2	5.0	1.70	6.8	100	91.84
Robin Vickers Batzdorf	OAK	13	18	257	90	153	333	129	611	68	679	5	11	10	11	8	0	0	0	8	29	0.52	3.1	6.1	9.2	2.0	1.82	3.9	94.7	93.44
Rocco Linehan	BOS	9	1	129	100	67	153	94	439	-21	418	6	5	6	12	2	0	0	0	2	27	0.57	3.6	6.8	10.3	5.3	4.42	9.8	98.7	95.77
Rodrigo Gould Rodriguez	COL	2	0	22	37	11	33	5	31	53	84	3	1	0	0	1	0	0	0	1	3	0.49	0.8	0.0	0.8	7.3	0.00	7.3	83.3	90.38
Rowan McDonnell	DC	11	188	8	51	238	110	297	1702	1646	3348	23	10	19	5	13	1	4	2	16	41	0.56	20.6	2.3	22.9	8.7	2.10	10.8	95.2	95.76
Rui Carvalho	TOR	9	58	70	60	108	128	73	594	401	995	10	0	8	3	5	1	0	0	6	15	0.55	5.2	1.6	6.8	4.8	1.28	6.1	94.6	92.74
Ryan Drost	NY	11	0	148	1	91	187	29	32	471	503	0	10	1	5	2	0	0	0	2	14	0.59	3.9	2.9	6.8	4.3	1.55	5.9	94.4	92.21
Ryan Flick	ATL	6	115	3	67	133	56	162	1113	537	1650	6	2	15	1	5	0	3	0	8	16	0.57	7.3	0.6	7.9	5.5	1.08	6.6	96.4	95.77
Ryan Kindell	PIT	4	2	34	79	18	52	11	100	27	127	1	0	1	0	2	0	0	0	2	0	0.45	0.1	0.0	0.1	0.6	0.00	0.6	92.9	89.83
Ryan Poloz	TOR	12	207	8	56	257	133	273	2112	1657	3769	30	12	14	1	9	0	3	0	12	45	0.55	25.0	0.5	25.5	9.7	0.39	10.1	96	96.04
Ryan Smith	DET	10	85	127	80	180	246	157	933	216	1149	9	4	8	0	23	0	0	3	20	1	0.48	0.5	0.0	0.5	0.3	0.00	0.3	87.1	89.24
Ryan Weaver	DC	3	0	27	77	19	46	19	99	30	129	0	1	3	0	0	0	0	0	0	4	0.59	1.0	0.0	1.0	5.3	0.00	5.3	100	93.85
Saeed Semrin	COL	9	149	34	26	209	137	99	558	1585	2143	8	16	8	4	9	0	2	0	11	25	0.54	11.9	2.1	14.0	5.7	1.53	7.3	91.9	91.56
Sam Alston	NY	2	0	24	34	23	35	10	81	158	239	2	1	1	1	1	0	0	0	1	4	0.56	1.5	0.5	2.0	6.3	1.43	7.8	92.9	91.23
Sam Berglund	MIN	4	2	41	99	38	59	36	402	6	408	5	0	2	2	5	0	0	0	5	4	0.49	1.1	1.0	2.0	2.8	1.67	4.4	88.5	89.66
Sam Cook	LA	9	183	0	40	220	101	198	1125	1696	2821	7	23	13	1	10	0	2	0	12	32	0.54	16.9	0.5	17.4	7.7	0.51	8.2	94.3	94.49
Sam Gabrielson	CHI	12	17	120	56	132	197	105	484	368	852	7	1	7	3	16	0	1	0	17	1	0.49	-0.2	1.6	1.4	-0.2	0.79	0.6	80.6	88.02
Sam Goldstein	COL	11	29	128	55	118	190	117	654	537	1191	8	12	6	8	9	0	2	0	11	23	0.54	5.5	4.4	9.9	4.7	2.29	7.0	88.1	92.44
Sam Jonas	NY	11	2	127	51	70	156	87	389	376	765	6	3	4	5	3	0	0	0	3	15	0.58	5.2	2.4	7.5	7.4	1.52	8.9	92.8	94.85
Sam Kaminsky	CHI	13	239	2	77	311	152	603	3322	1014	4336	26	14	29	4	22	1	0	0	23	50	0.49	25.0	1.8	26.8	8.0	1.20	9.2	95.6	96.13
Sam Stark	MAD	1	3	11	63	9	20	3	58	34	92	1	0	0	0	0	0	0	0	0	1	0.58	0.8	0.0	0.8	8.6	0.00	8.6	100	91.84
Sam Warrick	MTL	10	25	102	20	104	175	27	93	370	463	1	2	2	6	1	0	0	0	1	10	0.48	2.9	2.9	5.8	2.8	1.63	4.5	88.9	93.24
Samuel Roberts	DAL	6	18	88	72	65	129	49	502	194	696	4	3	2	0	6	1	0	0	7	2	0.5	2.3	0.0	2.3	3.5	0.00	3.5	87.4	90.10
Sandy Brown	COL	12	7	163	36	109	220	49	302	545	847	2	9	3	5	3	0	1	0	4	15	0.54	5.3	2.8	8.1	4.8	1.27	6.1	92.9	92.86
Sawyer Thompson	OAK	8	38	83	48	100	135	49	492	540	1032	5	3	2	3	11	0	4	0	15	-2	0.51	0.6	1.5	2.1	0.6	1.12	1.7	81.4	85.85
Scott Heyman	PHI	6	99	12	45	124	71	112	1041	1270	2311	14	13	12	4	6	0	3	0	9	34	0.55	15.0	2.2	17.2	12.1	3.08	15.2	96.2	93.90
Scott Radlauer	POR	10	196	8	40	240	140	232	1380	2045	3425	13	22	14	10	12	0	2	1	13	46	0.54	21.4	5.3	26.6	8.9	3.75	12.6	95.5	94.81
Scott Xu	NY	2	0	19	100	6	25	4	15	-8	7	0	0	0	1	0	0	0	0	0	1	0.6	0.0	0.5	0.5	0.7	1.84	2.6	100	92.00
Sean Connole	SLC	13	184	40	45	253	157	306	1502	1884	3386	24	17	11	8	23	0	1	1	23	37	0.54	16.7	4.4	21.0	6.6	2.80	9.4	92.1	93.05
Sean Keegan	NY	2	34	0	61	44	22	47	396	244	640	4	4	2	0	1	0	0	1	0	10	0.53	5.6	0.0	5.6	12.6	0.00	12.6	97.9	95.70
Sean McDonald	SLC	1	11	4	52	16	20	23	97	91	188	2	2	1	0	0	0	0	0	0	5	0.52	1.9	0.0	1.9	12.1	0.00	12.1	100	94.20
Sean McDougall	LA	12	192	90	38	266	222	199	1437	2376	3813	30	29	19	14	14	0	2	1	15	77	0.55	27.5	7.5	35.0	10.4	3.37	13.7	95	93.41
Sean McGuinness	DET	4	9	11	75	18	29	16	69	23	92	0	0	0	1	2	0	1	0	3	-2	0.45	-0.6	0.5	-0.1	-3.1	1.62	-1.5	91.1	90.63
Sean Mott	PHI	12	223	2	65	268	138	395	2821	1503	4324	43	4	23	0	20	0	5	4	21	49	0.58	24.1	0.0	24.1	9.0	0.00	9.0	94.5	95.62
Seth Faris	COL	12	19	129	20	84	162	24	109	436	545	3	10	3	4	2	0	0	1	1	19	0.54	5.4	2.1	7.5	6.4	1.31	7.7	91.7	92.96
Seth Gudeman	IND	12	95	164	23	196	250	176	488	1678	2166	9	26	16	10	6	0	0	0	6	55	0.57	17.2	5.4	22.5	8.8	2.14	10.9	95.7	95.61
Seth Weaver	CAR	14	9	159	97	105	208	125	498	8	506	4	3	7	6	8	0	0	0	8	12	0.55	0.2	3.6	3.8	0.2	1.74	1.9	94.1	93.30
Shane Otis	MAD	2	0	27	78	22	34	12	63	18	81	1	2	1	2	2	0	0	0	2	4	0.41	0.3	1.0	1.3	1.1	3.07	4.2	85.4	90.00
Shane Worthington	SEA	12	18	153	31	117	209	49	248	545	793	4	5	4	8	4	0	2	0	6	15	0.53	3.5	4.1	7.6	3.0	1.97	5.0	92.6	91.92
Shashank Alladi	NY	9	0	94	77	54	120	50	180	55	235	6	1	1	1	2	0	0	0	2	7	0.6	1.7	0.6	2.4	3.2	0.54	3.7	93.1	93.88
Shaun Seidenberger	HTX	9	120	39	77	192	148	196	1261	380	1641	8	7	6	5	10	1	1	0	12	14	0.49	7.3	2.3	9.6	3.8	1.54	5.4	92.5	94.44
Simon Carapella	BOS	14	243	0	26	301	132	327	1318	3843	5161	17	33	32	1	12	0	3	1	14	69	0.56	34.6	0.7	35.3	11.5	0.49	12.0	96	96.09
Simon Dastrup	SLC	13	67	124	1	148	188	51	96	1118	1214	7	16	4	9	5	0	0	0	5	31	0.54	9.5	4.8	14.2	6.4	2.53	8.9	91.7	91.18
Sol Yanuck	CAR	5	13	57	95	48	81	66	425	24	449	5	1	2	2	5	0	0	2	3	7	0.58	2.3	1.2	3.5	4.8	1.49	6.3	92.1	93.91
Solomon Rueschemeyer-Bailey	NY	11	219	0	71	248	102	443	2779	1127	3906	9	10	23	0	13	0	0	0	13	29	0.6	21.0	0.0	21.0	8.5	0.00	8.5	97.1	96.61
Soren Dahl	SEA	1	0	13	16	5	18	2	7	36	43	0	1	2	0	0	0	0	0	0	3	0.53	0.5	0.0	0.5	9.2	0.00	9.2	100	91.67
Spencer Latarski	POR	5	78	10	78	97	70	109	769	228	997	4	3	8	1	8	2	1	2	9	7	0.54	2.9	0.6	3.4	3.0	0.78	3.7	92.4	93.79
Spencer Lofink	SEA	14	275	3	57	339	159	468	2845	2147	4992	36	26	27	2	23	0	3	0	26	65	0.53	29.5	1.0	30.5	8.7	0.65	9.4	95.2	94.97
Spencer Whitcomb	PIT	1	1	8	100	3	11	1	5	-4	1	0	0	0	0	0	0	0	0	0	0	0.51	0.0	0.0	0.0	0.2	0.00	0.2	100	91.49
Stefan Samu	SD	11	76	134	37	163	212	117	854	1445	2299	15	13	13	10	5	0	1	2	4	47	0.55	17.6	5.3	22.9	10.8	2.50	13.3	95.1	95.78
Sten Larson	COL	2	1	19	1	6	25	1	0	55	55	0	0	1	0	0	0	0	0	0	1	0.49	0.4	0.0	0.4	5.8	0.00	5.8	100	91.49
Stephen Dolan	OAK	4	3	43	12	31	61	11	25	178	203	0	1	2	3	0	0	0	0	0	6	0.58	1.5	1.7	3.2	4.8	2.78	7.5	100	92.98
Stephen Grondin	DET	7	35	38	74	74	94	43	237	85	322	1	0	2	2	5	0	2	1	6	-1	0.45	-0.8	0.9	0.1	-1.1	0.96	-0.1	91.7	91.40
Sterling Knoche	MAD	13	38	193	18	165	269	48	210	931	1141	6	12	7	16	2	0	1	0	3	38	0.53	9.1	8.2	17.3	5.5	3.06	8.6	89.7	93.75
Steven Kelly	HTX	9	39	68	32	100	131	42	227	479	706	5	5	2	6	4	0	3	0	7	11	0.49	2.9	2.8	5.7	2.9	2.12	5.0	90.3	91.30
Steven Moliterno	LA	6	0	65	1	28	80	9	-18	74	56	0	1	1	1	1	0	0	0	1	2	0.53	0.0	0.5	0.5	0.0	0.63	0.7	80	91.07
Suraj Madiraju	CAR	9	5	122	49	77	158	70	211	218	429	3	2	2	1	3	0	1	0	4	4	0.56	1.5	0.5	2.1	2.0	0.32	2.3	96.7	94.12
Tanner Barcus	MIN	8	10	94	58	84	141	41	170	125	295	3	2	5	2	2	0	1	0	3	9	0.48	1.4	0.8	2.1	1.6	0.54	2.2	96.8	93.26
Tanner Gesell	DC	2	0	12	50	4	16	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.65	0.0	0.0	0.0	0.0	0.00	0.0	#DIV/0!	91.30
Tanner Graham	IND	11	2	143	18	69	175	47	69	322	391	2	4	3	4	0	0	1	0	1	12	0.58	2.9	2.0	4.9	4.2	1.17	5.3	100	95.70
Tanner Roberts	DAL	7	83	56	29	132	132	55	354	869	1223	5	7	11	2	4	0	0	0	4	21	0.5	8.1	0.9	9.1	6.2	0.70	6.9	95.8	92.38
Tannor Johnson-Go	BOS	10	155	10	35	196	99	251	1205	2252	3457	18	16	17	6	9	1	1	1	10	47	0.56	22.7	3.4	26.1	11.6	3.45	15.0	96.4	96.07
Taylor Barton	SLC	7	1	89	69	50	114	34	170	78	248	1	3	3	2	2	0	1	0	3	6	0.54	0.7	1.1	1.8	1.4	0.95	2.4	91.7	92.68
Taylor Gilman	SD	7	19	136	100	94	181	76	672	-59	613	8	2	6	2	11	0	0	0	11	7	0.52	0.3	1.0	1.3	0.3	0.57	0.9	86.2	88.72
Taylor Masterson	ATX	1	0	10	50	7	17	1	0	0	0	1	0	0	1	0	0	0	0	0	2	0.53	0.2	0.5	0.7	2.6	3.12	5.8	100	91.49
Ted Schewe	MAD	12	181	0	61	229	122	247	1699	1074	2773	19	6	10	3	16	0	0	0	16	22	0.51	14.9	1.7	16.6	6.5	1.39	7.9	94.6	93.53
Teddy McGowan	LA	1	0	8	45	4	12	3	31	38	69	0	0	0	0	0	0	0	0	0	0	0.52	0.4	0.0	0.4	11.0	0.00	11.0	100	91.84
Tej Murthy	NY	2	0	12	1	3	15	0	0	23	23	0	1	0	0	0	0	0	0	0	1	0.64	0.3	0.0	0.3	11.0	0.00	11.0	#DIV/0!	91.30
Terrence Mitchell	CAR	15	291	1	23	359	155	215	989	3397	4386	13	39	26	3	9	0	5	0	14	67	0.55	29.7	1.5	31.2	8.3	0.95	9.2	96.6	95.19
Terry Gaither	DET	12	99	133	1	203	264	72	106	1490	1596	5	22	4	6	7	0	4	1	10	27	0.49	10.5	3.1	13.6	5.2	1.17	6.3	92.4	91.94
Theo Schaid Hefley	POR	5	21	44	56	37	64	27	242	190	432	2	3	2	2	0	0	0	0	0	9	0.55	3.7	1.1	4.8	9.9	1.68	11.6	100	94.52
Thomas Brewster	COL	7	94	27	32	120	75	56	329	691	1020	3	14	7	0	1	0	0	0	1	23	0.54	9.1	0.0	9.1	7.6	0.00	7.6	98.4	95.15
Thomas Edmonds	DC	11	26	168	81	127	227	198	1553	375	1928	25	9	10	7	9	0	0	0	9	42	0.54	14.8	4.0	18.8	11.7	1.74	13.4	96.1	94.86
Thomas Hansen	PIT	3	2	22	55	14	36	4	12	10	22	0	1	0	0	1	0	0	0	1	0	0.47	-0.2	0.0	-0.2	-1.1	0.00	-1.1	80	90.20
Thomas Konogeris	SD	7	86	4	11	107	49	16	76	622	698	4	18	1	2	0	0	1	0	1	24	0.53	8.0	1.0	9.0	7.5	2.03	9.5	100	93.55
Thomas Lalonde-Landry	MTL	6	6	106	27	73	142	36	118	316	434	1	8	3	3	5	0	0	0	5	10	0.49	2.1	1.5	3.7	2.9	1.08	4.0	91.5	89.66
Thomas Shope	MIN	9	0	117	31	102	173	21	124	271	395	1	1	1	12	2	0	0	0	2	13	0.45	1.9	4.8	6.7	1.9	2.77	4.7	86.7	91.30
Timmy Perston	POR	1	0	2	50	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.49	0.0	0.0	0.0	0.0	0.00	0.0	#DIV/0!	91.30
Timothy Elliot	COL	5	59	18	46	84	50	101	607	721	1328	1	8	8	2	2	0	1	0	3	16	0.54	8.5	1.2	9.7	10.2	2.34	12.5	96.9	95.97
Tobe Decraene	MTL	11	176	91	55	279	242	387	3157	2580	5737	52	17	25	18	32	0	1	2	31	81	0.49	34.8	8.5	43.3	12.5	3.51	16.0	92.9	92.66
Tobias Brooks	CAR	11	166	38	36	227	142	221	1760	3063	4823	31	16	21	2	14	0	1	0	15	55	0.53	32.4	0.9	33.3	14.3	0.63	14.9	94.9	93.59
Tomas Fong	LA	5	1	48	44	14	62	4	24	30	54	0	0	0	1	0	0	0	0	0	1	0.6	0.3	0.6	0.9	2.5	0.93	3.4	100	92.00
Tommy Li	SEA	11	211	2	38	256	121	149	1009	1615	2624	21	15	13	4	12	0	2	0	14	39	0.53	16.2	2.2	18.4	6.3	1.81	8.1	92.6	92.27
Tommy Lin	SEA	14	3	178	73	119	231	67	486	170	656	5	2	8	2	7	0	0	0	7	10	0.53	1.7	1.1	2.8	1.4	0.49	1.9	89.4	90.83
Tommy Trompeter	DAL	12	9	172	17	96	233	25	89	441	530	5	5	1	6	2	0	0	0	2	15	0.48	4.4	2.7	7.1	4.6	1.15	5.7	96	91.78
Tony Goss	SEA	15	14	217	58	165	289	135	820	606	1426	8	13	12	11	4	0	1	0	5	39	0.53	10.4	5.9	16.3	6.3	2.04	8.3	90.1	95.68
Tony Mounga	SLC	11	6	152	63	95	193	39	665	384	1049	15	7	3	9	12	0	0	0	12	22	0.54	4.6	4.8	9.5	4.9	2.51	7.4	81.9	83.51
Topher Davis	BOS	11	24	100	68	86	132	81	433	201	634	4	4	9	4	0	0	0	0	0	21	0.56	5.5	2.1	7.6	6.4	1.60	8.0	100	96.85
Toya Chukwumerije	HTX	4	24	20	32	41	48	3	30	65	95	0	1	1	0	0	0	0	0	0	2	0.47	0.8	0.0	0.8	1.9	0.00	1.9	100	91.84
Travis Carpenter	IND	10	194	7	69	243	126	477	2527	1144	3671	19	12	13	3	15	0	2	0	17	30	0.56	20.3	1.5	21.8	8.4	1.16	9.5	96.8	96.47
Travis Dunn	SD	12	289	15	43	350	179	321	2777	3651	6428	52	26	29	8	24	0	4	1	27	88	0.55	40.5	4.2	44.8	11.6	2.36	13.9	92.8	93.08
Travis Puckrin	TOR	8	13	72	23	41	100	5	44	144	188	0	0	1	1	3	0	0	0	3	-1	0.56	-0.4	0.3	0.0	-0.9	0.33	-0.5	53.3	87.04
Trenton Spinks	ATL	11	3	134	48	73	168	30	166	182	348	2	4	8	4	2	0	1	0	3	15	0.59	1.6	2.3	3.9	2.2	1.37	3.5	94.7	92.31
Trevor Griesman	PHI	6	15	71	93	49	91	63	379	53	432	4	3	6	5	2	0	0	1	1	17	0.55	3.5	2.5	6.0	7.2	2.71	9.9	97.5	95.45
Trevor Lynch	CAR	13	56	189	61	170	265	168	1241	800	2041	24	11	15	6	12	0	1	0	13	43	0.55	12.5	3.2	15.7	7.4	1.22	8.6	93.8	92.92
Trevor Sawatzky	ATX	2	0	31	21	20	38	8	21	81	102	0	3	1	1	1	0	0	0	1	4	0.52	0.7	0.5	1.2	3.3	1.41	4.7	91.7	90.91
Trevor Scott	CHI	1	0	4	50	1	5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.59	0.0	0.0	0.0	0.0	0.00	0.0	#DIV/0!	91.30
Trey Taylor	SLC	2	0	22	47	13	35	3	37	41	78	0	0	1	1	1	0	0	0	1	1	0.56	-0.1	0.5	0.4	-0.7	1.52	0.8	83.3	90.00
Trip Crowley	ATL	5	43	19	1	59	43	18	52	619	671	2	16	2	1	3	0	1	0	4	17	0.58	5.3	0.6	5.9	9.0	1.40	10.4	86	89.55
Tristan Van de Moortele	MIN	14	94	183	61	257	308	324	2074	1333	3407	34	9	21	11	26	0	2	0	28	47	0.49	17.6	5.0	22.6	6.9	1.62	8.5	92	92.42
Tristan Yarter	NY	2	0	21	88	50	107	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.64	0.0	0.0	0.0	5.7	0.59	6.3	#DIV/0!	91.30
Troy Holland	DC	6	6	85	49	63	112	50	285	302	587	5	7	4	5	3	0	0	0	3	18	0.54	4.5	2.4	6.9	7.2	2.10	9.3	94.3	92.93
Turner Allen	BOS	12	19	133	39	85	165	60	286	453	739	3	4	5	4	2	0	0	0	2	14	0.57	4.9	2.4	7.3	5.8	1.46	7.3	97.8	94.44
Ty Naquin	CAR	2	0	25	21	16	41	9	27	102	129	0	2	1	0	0	0	0	0	0	3	0.56	1.2	0.0	1.2	7.4	0.00	7.4	100	92.73
Tyler Chan	BOS	11	145	22	33	191	106	191	1045	2138	3183	16	13	7	2	10	0	1	2	9	29	0.56	20.6	1.2	21.8	10.8	1.13	11.9	94.9	95.10
Tyler Monroe	DC	13	206	6	45	256	106	274	1811	2223	4034	34	20	27	2	11	0	2	0	13	70	0.56	28.3	0.7	29.0	11.0	0.66	11.7	96.7	95.47
Tyler Murt	IND	1	0	14	77	12	26	6	33	10	43	0	0	0	1	0	0	0	0	0	1	0.51	0.3	0.5	0.8	2.3	1.95	4.2	100	92.31
Tyler Nguyen	COL	1	0	12	1	8	20	1	-4	9	5	0	1	0	0	1	0	0	0	1	0	0.55	-0.3	0.0	-0.3	-4.2	0.00	-4.2	50	89.58
Tyler Randall	ATL	12	3	179	35	97	218	73	287	526	813	6	14	2	11	2	0	2	0	4	29	0.59	6.5	6.3	12.8	6.8	2.88	9.6	98.3	95.04
Tyler Shanahan	DET	4	59	22	79	94	79	159	957	247	1204	5	2	9	3	11	0	1	0	12	7	0.49	2.9	1.5	4.3	3.0	1.85	4.9	93.8	93.06
Tyler Thomegreene	MIN	2	2	18	91	11	29	12	78	8	86	1	0	0	0	1	0	0	0	1	0	0.46	0.4	0.0	0.4	3.2	0.00	3.2	90	91.53
Tynan Sander	SD	9	11	147	48	94	193	52	378	414	792	3	9	2	3	2	0	0	1	1	16	0.55	6.8	1.6	8.4	7.2	0.85	8.1	97.4	94.95
Val Post	MAD	2	0	23	19	23	35	8	35	154	189	1	0	1	0	1	0	0	0	1	1	0.37	1.0	0.0	1.0	4.1	0.00	4.1	92.9	90.91
Vance Mader	ATX	2	3	31	56	23	42	7	45	35	80	1	2	0	1	0	0	0	0	0	4	0.54	1.1	0.5	1.6	4.6	1.26	5.9	100	92.45
Vedant Sachdeva	NY	2	0	18	1	12	30	4	-3	18	15	0	0	0	1	0	0	0	0	0	1	0.6	0.1	0.5	0.6	0.8	1.53	2.3	100	92.00
Victor Luo	MAD	12	178	58	68	248	184	312	2042	974	3016	22	4	16	6	19	0	1	1	19	29	0.54	14.0	3.2	17.1	5.6	1.72	7.4	93.3	94.15
Walker Frankenberg	OAK	11	229	3	42	286	140	289	2047	2836	4883	30	26	23	4	17	0	3	2	18	65	0.51	32.4	2.2	34.6	11.3	1.58	12.9	93.6	94.57
Walker Matthews	CAR	7	2	79	55	50	101	26	192	156	348	4	3	3	2	3	0	1	0	4	8	0.54	1.4	1.1	2.5	2.9	1.09	4.0	90.3	90.67
Walt Jansen	CHI	1	0	18	62	11	29	7	77	47	124	1	1	0	0	0	0	0	0	0	2	0.49	1.2	0.0	1.2	10.5	0.00	10.5	0	92.45
Walter Ellard	ATL	1	0	5	71	3	8	3	25	10	35	0	0	0	0	0	0	0	0	0	0	0.55	0.2	0.0	0.2	7.4	0.00	7.4	100	91.84
Watson Anderson	DAL	5	6	49	22	28	71	10	30	105	135	1	0	0	3	1	0	0	0	1	3	0.49	0.5	1.4	1.9	1.8	1.92	3.8	95	91.23
Will Dillender-Kinast	POR	2	2	25	1	12	37	6	3	41	44	1	2	0	2	1	0	0	0	1	4	0.51	0.3	1.0	1.4	2.8	2.77	5.6	90	90.57
Will Hoffenkamp	PIT	8	154	4	85	202	117	367	2327	398	2725	22	4	17	4	21	1	2	1	23	24	0.52	11.9	1.7	13.6	5.9	1.42	7.3	94.2	94.46
Will Selfridge	SLC	5	77	8	30	102	52	103	513	1202	1715	9	12	7	3	7	0	0	1	6	25	0.53	11.5	1.7	13.2	11.3	3.20	14.5	94.3	93.55
Will Turner	LA	5	53	47	68	88	96	90	502	200	702	4	3	8	1	7	1	0	1	7	9	0.53	1.9	0.5	2.3	2.1	0.47	2.6	85.8	92.96
Will Turner	TOR	6	9	55	45	25	70	13	136	166	302	1	0	0	1	1	0	0	0	1	1	0.6	1.5	0.6	2.1	5.9	0.91	6.8	95.8	91.67
William Brandt	MIN	10	186	0	72	247	125	347	2874	1116	3990	34	7	15	7	27	0	4	2	29	34	0.51	19.1	3.3	22.5	7.8	2.68	10.4	92	93.06
William Coffin	CAR	15	28	219	49	161	299	91	752	787	1539	11	11	5	7	9	0	3	2	10	24	0.54	9.4	3.5	12.9	5.8	1.16	7.0	92.2	92.36
William St-Pierre	MTL	12	218	0	16	276	143	149	407	2201	2608	10	21	16	3	7	0	3	0	10	40	0.5	17.1	1.4	18.5	6.2	0.94	7.1	94.4	94.55
William Tober	DC	3	20	16	12	30	27	14	28	213	241	0	3	2	0	0	0	0	0	0	5	0.61	2.1	0.0	2.1	7.0	0.00	7.0	100	93.33
William Wettengel	IND	7	18	89	22	65	126	40	141	502	643	6	5	1	6	5	0	2	0	7	11	0.54	2.2	3.3	5.5	3.3	2.63	6.0	87.8	90.11
Wilson Matthews	CHI	12	202	7	1	270	138	120	-186	2829	2643	1	45	13	4	3	0	5	0	8	55	0.49	21.7	1.9	23.5	8.0	1.35	9.4	97.9	95.86
Wyatt Berreman	OAK	13	3	203	1	99	252	24	-31	608	577	1	7	5	8	2	0	0	0	2	19	0.52	4.3	4.4	8.6	4.3	1.74	6.0	87.5	91.67
Xavier Daniel	HTX	6	16	43	16	41	71	16	52	272	324	1	5	0	3	0	0	2	0	2	7	0.46	2.3	1.5	3.8	5.7	2.04	7.7	100	93.55
Xavier Payne	IND	9	127	90	74	192	179	387	2364	823	3187	32	5	22	7	11	1	2	1	13	53	0.57	20.6	3.8	24.4	10.7	2.10	12.8	96.8	96.84
Xavier Schafer	DC	2	0	21	100	8	29	8	40	-21	19	0	0	0	0	0	0	0	0	0	0	0.55	0.1	0.0	0.1	1.5	0.00	1.5	100	92.59
Yipeng Wang	CHI	5	0	35	28	36	61	10	23	60	83	0	1	0	4	0	0	1	0	1	4	0.48	0.0	1.5	1.4	-0.1	2.38	2.3	100	92.86
Ywan Cohonner	MTL	12	14	138	56	101	185	58	467	361	828	3	2	4	1	4	0	1	0	5	5	0.5	3.8	0.6	4.3	3.7	0.31	4.0	94.3	92.59
Zac Byrnes	PIT	6	11	67	32	51	90	21	147	317	464	1	7	3	9	1	0	1	0	2	18	0.54	3.4	4.9	8.3	6.7	5.41	12.1	97.9	92.65
Zac Schakner	LA	12	29	102	41	89	156	36	208	294	502	2	2	1	1	3	0	2	0	5	1	0.55	1.2	0.6	1.9	1.4	0.41	1.8	94.8	91.76
Zach Burnside	SLC	2	11	16	30	22	25	10	99	229	328	2	4	3	1	0	0	0	0	0	10	0.53	3.2	0.5	3.7	14.5	2.07	16.6	100	92.86
Zach Heiden	POR	8	17	93	71	65	129	30	329	132	461	3	6	1	3	6	0	1	0	7	6	0.55	0.7	1.6	2.3	1.1	1.23	2.3	79.5	87.80
Zach Norrbom	DC	1	20	0	61	21	4	19	190	119	309	0	5	1	0	0	0	0	0	0	6	0.68	2.9	0.0	2.9	13.8	0.00	13.8	100	93.85
Zach Singer	BOS	2	0	26	80	18	44	18	97	25	122	3	1	4	0	0	0	1	0	1	7	0.56	1.0	0.0	1.0	5.4	0.00	5.4	100	93.75
Zachary Armstrong	TOR	12	71	143	1	168	241	47	112	1286	1398	3	25	3	17	4	0	0	0	4	44	0.55	11.7	9.9	21.5	6.9	4.09	11.0	93.6	91.75
Zachary Burpee	DC	6	81	6	1	98	43	55	-40	606	566	3	6	1	0	2	0	0	1	1	9	0.57	4.8	0.0	4.8	4.9	0.00	4.9	96.6	95.10
Zachary Cotter	HTX	12	67	111	20	140	203	52	263	1046	1309	5	12	3	9	9	0	2	1	10	19	0.49	6.8	4.2	10.9	4.8	2.05	6.9	86.6	88.68
Zachary Wenner	DAL	8	7	80	1	37	107	12	-21	147	126	0	1	0	2	0	0	0	0	0	3	0.49	1.0	0.9	1.9	2.7	0.84	3.5	100	93.10
Zeke Thoreson	COL	8	139	16	31	179	92	217	721	1592	2313	14	13	14	2	7	0	2	1	8	35	0.54	15.4	1.1	16.5	8.6	1.19	9.8	95.4	96.28
Zeppelin Raunig	SEA	15	267	20	24	332	167	173	1143	3605	4748	7	51	21	7	3	1	7	0	11	75	0.53	35.2	3.8	39.0	10.6	2.29	12.9	97.5	96.85
#N/A	PIT	4	11	59	88	50	107	72	499	71	570	7	0	4	1	6	0	0	2	4	8	0.57	2.9	0.6	3.5	5.7	0.59	6.3	85.7	93.44

 

Legend (alphabetically)
A: Assists
B: Blocks
CHS: Cutter-Handler Scale (ThrYd/TotYd)*100
CP+: Completion percentage plus, a usage-weighted indicator of not committing turnovers
DPP: Defensive Points Played
EDGE: EDGE-O + EDGE-B, a measure of total goal equivalents produced
EDGE-B: Efficiency-derived goal equivalents–blocks, the total value of blocks, as a function of the scarcity of turnovers in that game.
EDGE-O: Efficiency-derived goal equivalents–offense, a composite measure of offensive production, in goal equivalents, with the value of turnovers a function of their scarcity in that game.
G: Goals
GmSE: Game Scoring Efficiency (Game goals/(Game goals + game turnovers). In season totals, SE is the average of the SE in games played by that player.
HA: Hockey assists
Net: Similar to +/-, except that hockey assists are added to increase sampling of productive activity by 50 percent. Correlates with EDGE much better than +/-.
ODS: O-Line/D-Line Scale, or percent of points played on D-Line
OPP: Offensive Points Played
OppPoss: Opponent Possessions
Poss: Possessions
Qinc: Quarter-ending Incompletions, the throws that end a quarter that should not be counted as turnovers because the opponent never takes possession.
RecYd: Receiving Yards
ThrErr: Throwing Errors (does not include stalls)
ThrYd: Throwing Yards
TotYd: Total Yards
TRN: Total Turns, including stalls, but not including Qincs

Data caveat: The UFA collects its data in real time, which is tough, and eventually supplements missing data or corrects errors. These corrections don’t always occur before the staff here at HQ starts crunching the weekly numbers, leading to temporary inconsistencies between the weekly data presented here and on the UFA site. However, the game and season totals should eventually match up.

---

1. Because of the playoff structure, advancing farther did not necessarily mean more games: for example, DC and Seattle had the same number of games as Madison, and Carolina played one more game than Minnesota. One option is to average the divisional playoff games so that it only counts as one additional game. We didn’t do that this year, but will keep it in mind for next. ↩

2. To illustrate the calculation with one example, Brett Hulsmeyer’s EDGE-O of 39.7 (Table 1) is 2.31 SD above the mean, and he achieved that in relatively few possessions, so his EO100 of 14.3 (Table 2) is 2.63 SD above the mean. The 2:1 weighted average (EOz) is 2.41, as shown in Table 3. EDGE-O, EDGE-B, and EDGE values were square-root transformed for normality before calculating z-scores. ↩