Players 2021 final

1

Cooper Kupp

LAR· 17 G

1947 Rec yards

2

Justin Jefferson

MIN· 17 G

1616 Rec yards

3

Davante Adams

GB· 16 G

1553 Rec yards

4

Ja'Marr Chase

CIN· 17 G

1455 Rec yards

5

Deebo Samuel Sr.

SF· 16 G

1405 Rec yards

Wide receivers — 2021 · 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	Cooper Kupp	LAR	17	92	114.5	8.5	11.2	1947	145	16	13.4	75.9%	32.3%	0.72
2	Justin Jefferson	MIN	17	83	95.1	6.4	9.8	1616	108	10	15.0	64.7%	29.4%	0.74
3	Davante Adams	GB	16	86	97.1	7.7	10.6	1553	123	11	12.6	72.8%	31.7%	0.73
4	Ja'Marr Chase	CIN	17	79	85.6	4.8	7.5	1455	81	13	18.0	63.3%	23.2%	0.60
5	Deebo Samuel Sr.	SF	16	74	87.8	4.8	7.6	1405	77	6	18.2	63.6%	26.2%	0.59
6	Tyreek Hill	KC	17	81	72.9	6.5	9.4	1239	111	9	11.2	69.8%	24.8%	0.61
7	Stefon Diggs	BUF	17	75	72.1	6.1	9.6	1225	103	10	11.9	62.8%	27.1%	0.65
8	Tyler Lockett	SEA	16	70	73.4	4.6	6.7	1175	73	8	16.1	68.2%	24.3%	0.62
9	Diontae Johnson	PIT	16	76	72.6	6.7	10.6	1161	107	8	10.9	63.3%	27.9%	0.65
10	DJ Moore	CAR	17	67	68.1	5.5	9.6	1157	93	4	12.4	57.1%	28.5%	0.71
11	Mike Williams	LAC	16	72	71.6	4.8	8.1	1146	76	9	15.1	58.9%	20.1%	0.50
12	Keenan Allen	LAC	16	74	71.1	6.6	9.8	1138	106	6	10.7	67.5%	25.7%	0.59
13	Chris Godwin Jr.	TB	14	78	78.8	7.0	9.1	1103	98	5	11.3	77.2%	21.1%	0.45
14	CeeDee Lamb	DAL	16	69	68.9	4.9	7.5	1102	79	6	13.9	65.8%	20.1%	0.48
15	Tee Higgins	CIN	14	70	77.9	5.3	7.9	1091	74	6	14.7	67.3%	23.5%	0.59
16	Michael Pittman	IND	17	66	63.6	5.2	7.6	1082	88	6	12.3	68.2%	26.1%	0.62
17	Darnell Mooney	CHI	17	63	62.1	4.8	8.2	1055	81	4	13.0	57.9%	27.2%	0.65
18	Terry McLaurin	WAS	17	65	61.9	4.5	7.6	1053	77	5	13.7	59.2%	24.6%	0.66
19	Hunter Renfrow	LV	17	72	61.1	6.1	7.5	1038	103	9	10.1	80.5%	21.0%	0.43
20	Brandin Cooks	HOU	16	69	64.8	5.6	8.4	1037	90	6	11.5	67.2%	27.2%	0.67
21	Mike Evans	TB	16	77	64.7	4.6	7.1	1035	74	14	14.0	64.9%	16.7%	0.43
22	Jaylen Waddle	MIA	16	73	63.4	6.5	8.8	1015	104	6	9.8	74.3%	24.9%	0.55
23	Marquise Brown	BAL	16	68	63.0	5.7	9.1	1008	91	6	11.1	62.3%	26.3%	0.61
24	Christian Kirk	ARI	17	64	57.8	4.5	6.1	982	77	5	12.8	74.8%	18.4%	0.47
25	DK Metcalf	SEA	17	68	56.9	4.4	7.6	967	75	12	12.9	58.1%	27.7%	0.67
26	DeVonta Smith	PHI	17	62	53.9	3.8	6.1	916	64	5	14.3	61.5%	22.7%	0.59
27	Amon-Ra St. Brown	DET	16	66	57.0	5.6	7.4	912	90	5	10.1	75.6%	22.8%	0.50
28	A.J. Brown	TEN	13	67	66.8	4.8	8.1	869	63	5	13.8	60.0%	27.7%	0.71
29	Jakobi Meyers	NE	16	63	54.1	5.2	7.9	866	83	2	10.4	65.9%	23.9%	0.57
30	Amari Cooper	DAL	15	65	57.7	4.5	6.9	865	68	8	12.7	65.4%	18.4%	0.45
31	Chase Claypool	PIT	15	61	57.3	3.9	7.0	860	59	2	14.6	56.2%	18.0%	0.48
32	A.J. Green	ARI	16	58	53.0	3.4	5.8	848	54	3	15.7	58.7%	16.5%	0.43
33	Marvin Jones	JAX	17	61	48.9	4.3	7.1	832	73	4	11.4	60.8%	20.7%	0.52
34	Tyler Boyd	CIN	16	62	51.8	4.2	5.9	828	67	5	12.4	71.3%	19.4%	0.43
35	Brandon Aiyuk	SF	17	60	48.6	3.3	4.9	826	56	5	14.8	66.7%	17.1%	0.40
36	Van Jefferson	LAR	17	60	47.2	2.9	5.2	802	50	6	16.0	56.2%	14.4%	0.38
37	Kendrick Bourne	NE	17	61	47.1	3.2	4.1	800	55	5	14.5	78.6%	13.0%	0.28
38	Courtland Sutton	DEN	17	57	45.6	3.4	5.8	776	58	2	13.4	59.2%	18.2%	0.48
39	Russell Gage	ATL	13	65	59.2	5.1	7.2	770	66	4	11.7	70.2%	23.6%	0.55
40	Tim Patrick	DEN	16	58	45.9	3.3	5.3	734	53	5	13.8	62.4%	17.9%	0.44
41	Adam Thielen	MIN	13	71	55.8	5.2	7.3	726	67	10	10.8	70.5%	20.4%	0.48
42	Marquez Callaway	NO	17	58	41.1	2.7	4.9	698	46	6	15.2	54.8%	18.7%	0.49
43	Cole Beasley	BUF	16	59	43.3	5.1	7.0	693	82	1	8.5	73.2%	18.4%	0.37
44	Mecole Hardman	KC	17	57	40.8	3.5	4.9	693	59	2	11.7	71.1%	12.8%	0.28
45	K.J. Osborn	MIN	17	59	38.5	2.9	4.8	655	50	7	13.1	61.0%	14.1%	0.33
46	Quez Watkins	PHI	17	51	38.1	2.5	3.6	647	43	1	15.0	69.4%	13.5%	0.32
47	Emmanuel Sanders	BUF	14	57	44.7	3.0	5.1	626	42	4	14.9	58.3%	14.3%	0.38
48	Laviska Shenault Jr.	JAX	16	54	38.7	3.9	6.2	619	63	0	9.8	63.0%	18.6%	0.37
49	Cedrick Wilson Jr.	DAL	14	61	43.0	3.2	4.4	602	45	6	13.4	73.8%	11.6%	0.27
50	Donovan Peoples-Jones	CLE	13	55	45.9	2.6	4.5	597	34	3	17.6	58.6%	15.1%	0.42
51	Kalif Raymond	DET	16	55	36.0	3.0	4.4	576	48	4	12.0	67.6%	14.0%	0.37
52	DeAndre Hopkins	ARI	10	67	57.2	4.2	6.4	572	42	8	13.6	65.6%	20.3%	0.53
53	Bryan Edwards	LV	16	51	35.7	2.1	3.7	571	34	3	16.8	57.6%	10.3%	0.27
54	Jarvis Landry	CLE	12	59	47.5	4.3	7.2	570	52	2	11.0	59.8%	24.5%	0.54
55	Deonte Harty	NO	13	56	43.8	2.8	4.5	570	36	3	15.8	61.0%	15.1%	0.37
56	Byron Pringle	KC	16	55	35.5	2.6	3.8	568	42	5	13.5	70.0%	10.1%	0.25
57	Robert Woods	LAR	9	64	61.8	5.0	7.7	556	45	4	12.4	65.2%	21.8%	0.47
58	Gabe Davis	BUF	15	56	36.6	2.3	4.2	549	35	6	15.7	55.6%	11.3%	0.29
59	Zay Jones	LV	15	52	36.4	3.1	4.7	546	47	1	11.6	67.1%	13.6%	0.37
60	Antonio Brown	TB	7	71	77.9	6.0	8.9	545	42	4	13.0	67.7%	23.1%	0.55

What this is. Finished box-score production from 2021, 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.