Players 2025 final

1

Jaxon Smith-Njigba

SEA· 17 G

1793 Rec yards

2

Puka Nacua

LAR· 16 G

1715 Rec yards

3

George Pickens

DAL· 17 G

1429 Rec yards

4

Ja'Marr Chase

CIN· 16 G

1412 Rec yards

5

Amon-Ra St. Brown

DET· 17 G

1401 Rec yards

Wide receivers — 2025 · ranked by Rec yards

#	Player	Tm	G	Grade	Yds/gm	Rec/gm	Tgt/gm	Rec yds	Rec	TD	Y/R	Catch%	Tgt share	WOPR
1	Jaxon Smith-Njigba	SEA	17	86	105.5	7.0	9.6	1793	119	10	15.1	73.0%	36.8%	0.90
2	Puka Nacua	LAR	16	92	107.2	8.1	10.4	1715	129	10	13.3	77.7%	30.1%	0.69
3	George Pickens	DAL	17	80	84.1	5.5	8.1	1429	93	9	15.4	67.9%	22.5%	0.56
4	Ja'Marr Chase	CIN	16	83	88.2	7.8	11.6	1412	125	8	11.3	67.6%	32.1%	0.74
5	Amon-Ra St. Brown	DET	17	81	82.4	6.9	10.1	1401	117	11	12.0	68.0%	31.7%	0.75
6	Zay Flowers	BAL	17	74	71.2	5.1	6.9	1211	86	5	14.1	72.9%	29.9%	0.70
7	Chris Olave	NO	16	78	72.7	6.2	9.8	1163	100	9	11.6	64.1%	29.2%	0.72
8	Nico Collins	HOU	15	72	74.5	4.7	8.0	1117	71	6	15.7	59.2%	24.2%	0.61
9	Jameson Williams	DET	17	71	65.7	3.8	6.0	1117	65	7	17.2	63.7%	18.6%	0.50
10	CeeDee Lamb	DAL	13	76	82.8	5.8	9.0	1077	75	3	14.4	64.1%	25.1%	0.61
11	Justin Jefferson	MIN	17	66	61.6	4.9	8.3	1048	84	2	12.5	59.6%	30.7%	0.74
12	Courtland Sutton	DEN	17	70	59.8	4.4	7.3	1017	74	7	13.7	59.7%	21.1%	0.56
13	Wan'Dale Robinson	NYG	16	71	63.4	5.8	8.8	1014	92	4	11.0	65.7%	30.3%	0.65
14	Tetairoa McMillan	CAR	17	68	59.6	4.1	7.2	1014	70	7	14.5	57.4%	25.7%	0.71
15	Stefon Diggs	NE	17	70	59.6	5.0	6.0	1013	85	4	11.9	83.3%	21.9%	0.47
16	DeVonta Smith	PHI	17	67	59.3	4.5	6.6	1008	77	4	13.1	68.1%	24.6%	0.59
17	Michael Wilson	ARI	17	69	59.2	4.6	7.4	1006	78	7	12.9	61.9%	19.2%	0.51
18	A.J. Brown	PHI	15	73	66.9	5.2	8.1	1003	78	7	12.9	64.5%	28.7%	0.68
19	Alec Pierce	IND	15	67	66.9	3.1	5.6	1003	47	6	21.3	56.0%	17.6%	0.55
20	Emeka Egbuka	TB	17	66	55.2	3.7	7.5	938	63	6	14.9	49.6%	23.6%	0.60
21	Drake London	ATL	12	77	76.6	5.7	9.3	919	68	7	13.5	60.7%	29.7%	0.73
22	Jaylen Waddle	MIA	16	68	56.9	4.0	6.2	910	64	6	14.2	64.0%	23.3%	0.65
23	DK Metcalf	PIT	15	68	56.7	3.9	6.6	850	59	6	14.4	59.6%	22.4%	0.60
24	Parker Washington	JAX	16	62	52.9	3.6	5.9	847	58	5	14.6	61.1%	18.0%	0.44
25	Tee Higgins	CIN	15	72	56.4	3.9	6.5	846	59	11	14.3	60.2%	18.3%	0.50
26	Jakobi Meyers	LV	16	63	52.2	4.7	6.9	835	75	3	11.1	68.2%	22.9%	0.54
27	Davante Adams	LAR	14	75	56.4	4.3	8.1	789	60	14	13.2	52.6%	25.1%	0.64
28	Ladd McConkey	LAC	16	64	49.3	4.1	6.6	789	66	6	12.0	62.3%	21.1%	0.50
29	Michael Pittman	IND	17	65	46.1	4.7	6.5	784	80	7	9.8	72.1%	20.6%	0.46
30	Keenan Allen	LAC	17	63	45.7	4.8	7.2	777	81	4	9.6	66.4%	22.1%	0.49
31	Quentin Johnston	LAC	13	69	56.5	3.9	6.5	735	51	8	14.4	60.7%	20.0%	0.50
32	Deebo Samuel Sr.	WAS	16	65	45.4	4.5	6.2	727	72	5	10.1	72.7%	25.4%	0.47
33	Romeo Doubs	GB	16	61	45.2	3.4	5.3	724	55	6	13.2	64.7%	18.9%	0.48
34	Khalil Shakir	BUF	16	63	44.9	4.5	5.9	719	72	4	10.0	75.8%	21.1%	0.38
35	Troy Franklin	DEN	17	62	41.7	3.8	6.1	709	65	6	10.9	62.5%	18.2%	0.47
36	Brian Thomas Jr.	JAX	14	60	50.5	3.4	6.5	707	48	2	14.7	52.7%	19.3%	0.51
37	Tre Tucker	LV	17	60	40.9	3.4	5.4	696	57	5	12.2	62.0%	19.0%	0.47
38	Rashid Shaheed	SEA	18	58	38.2	3.3	5.1	687	59	2	11.6	64.1%	16.2%	0.40
39	DJ Moore	CHI	17	61	40.1	2.9	5.0	682	50	6	13.6	58.8%	16.1%	0.38
40	Rome Odunze	CHI	12	65	55.1	3.7	7.5	661	44	6	15.0	48.9%	23.6%	0.60
41	Luther Burden III	CHI	15	59	43.5	3.1	4.0	652	47	2	13.9	78.3%	13.1%	0.27
42	Jauan Jennings	SF	15	64	42.9	3.7	6.0	643	55	9	11.7	61.1%	19.9%	0.48
43	Christian Watson	GB	10	66	61.1	3.5	5.5	611	35	6	17.5	63.6%	20.3%	0.55
44	Jordan Addison	MIN	14	60	43.6	3.0	5.6	610	42	3	14.5	53.2%	18.2%	0.50
45	Marvin Harrison Jr.	ARI	12	62	50.7	3.4	6.1	608	41	4	14.8	56.2%	18.1%	0.50
46	Jerry Jeudy	CLE	17	56	35.4	2.9	6.2	602	50	2	12.0	47.2%	20.5%	0.56
47	Cooper Kupp	SEA	16	57	37.1	2.9	4.4	593	47	2	12.6	67.1%	16.0%	0.34
48	Marquise Brown	KC	16	59	36.7	3.1	4.6	587	49	5	12.0	66.2%	14.2%	0.35
49	Terry McLaurin	WAS	10	63	58.2	3.8	6.0	582	38	3	15.3	63.3%	23.2%	0.61
50	Rashee Rice	KC	8	75	71.4	6.6	9.8	571	53	5	10.8	67.9%	29.0%	0.53
51	Josh Downs	IND	16	59	35.4	3.6	5.5	566	58	4	9.8	65.9%	17.5%	0.38
52	Kendrick Bourne	SF	14	55	39.4	2.6	3.8	551	37	0	14.9	69.8%	10.8%	0.27
53	Kayshon Boutte	NE	14	61	39.4	2.4	3.3	551	33	6	16.7	71.7%	12.0%	0.33
54	Mack Hollins	NE	14	58	39.3	3.3	4.6	550	46	2	12.0	70.8%	16.2%	0.39
55	Darius Slayton	NYG	14	56	38.4	2.6	4.5	538	37	1	14.5	58.7%	15.5%	0.41
56	Xavier Worthy	KC	14	57	38.0	3.0	5.2	532	42	1	12.7	57.5%	16.1%	0.43
57	Ricky Pearsall	SF	9	60	58.7	4.0	5.9	528	36	0	14.7	67.9%	18.0%	0.49
58	Jayden Higgins	HOU	17	57	30.9	2.4	4.0	525	41	6	12.8	60.3%	12.4%	0.31
59	Elic Ayomanor	TEN	16	57	32.2	2.6	5.6	515	41	4	12.6	46.1%	18.5%	0.50
60	Ryan Flournoy	DAL	15	58	31.7	2.7	3.7	475	40	4	11.9	71.4%	11.1%	0.24

What this is. Finished box-score production from 2025, ranked by Rec yards. Per-game columns divide by games played, not games on the schedule, so a player who missed time is measured on the games he was in — and his season totals still show the games he missed. Minimum 4 games to be ranked, otherwise one big afternoon tops every list.

What it isn’t. None of this is a projection, a pick, or a prop recommendation — it is what already happened. Last season’s rate is a starting point for what a player does in a game, not a forecast of the next one: offense, role, and health all move underneath it. Target share and WOPR describe a player’s share of his own team’s passing game, so they compare roles, not players across teams.

About the grade. 0–100, where 50 is average for the position and 85+ is elite. It is box production, scaled by the defense it came against, pulled toward the positional average when a player has few games, then ranked within position — so a 90 quarterback and a 90 kicker are each elite for their own spot and are not comparable to each other in any other way. It needs 6 games, so players below that show — rather than a number built on a hot month.

What the grade can’t see. There is no charting behind it, so it rewards production over technique: the receiver who ran the route that freed someone else, and the back who picked up the blitz, get nothing for it. It is role-dependent by construction — a back on a run-heavy team gets more chances than an equally good back who touches it half as often. Kickers are not opponent-adjusted, because field goals are contested by distance and weather, not by the defense across the ball. And it grades a season already played; it is not a projection of the next one.

Regular season and postseason are kept separate on purpose. Playoff samples are small and the opponents are better; blending them into a season rate quietly flatters the players who got there. The grade is regular-season only, so it is not offered on the postseason split.