Players 2022 final

1

Justin Jefferson

MIN· 17 G

1809 Rec yards

2

Tyreek Hill

MIA· 17 G

1710 Rec yards

3

Davante Adams

LV· 17 G

1516 Rec yards

4

A.J. Brown

PHI· 17 G

1496 Rec yards

5

Stefon Diggs

BUF· 16 G

1429 Rec yards

Wide receivers — 2022 · 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	Justin Jefferson	MIN	17	91	106.4	7.5	10.8	1809	128	8	14.1	69.6%	28.3%	0.69
2	Tyreek Hill	MIA	17	81	100.6	7.0	10.0	1710	119	7	14.4	70.0%	30.2%	0.72
3	Davante Adams	LV	17	86	89.2	5.9	10.6	1516	100	14	15.2	55.6%	32.8%	0.78
4	A.J. Brown	PHI	17	75	88.0	5.2	8.5	1496	88	11	17.0	60.7%	28.6%	0.71
5	Stefon Diggs	BUF	16	78	89.3	6.8	9.6	1429	108	11	13.2	70.1%	27.5%	0.64
6	CeeDee Lamb	DAL	17	76	79.9	6.3	9.2	1359	107	9	12.7	68.6%	29.3%	0.69
7	Jaylen Waddle	MIA	17	73	79.8	4.4	6.9	1356	75	8	18.1	64.1%	20.6%	0.50
8	DeVonta Smith	PHI	17	74	70.4	5.6	8.0	1196	95	7	12.6	69.9%	26.8%	0.60
9	Terry McLaurin	WAS	17	68	70.1	4.5	7.1	1191	77	5	15.5	64.2%	23.8%	0.61
10	Amon-Ra St. Brown	DET	16	75	72.6	6.6	9.1	1161	106	6	11.0	72.6%	27.8%	0.61
11	Amari Cooper	CLE	17	71	68.2	4.6	7.8	1160	78	9	14.9	59.1%	26.5%	0.68
12	Mike Evans	TB	15	69	74.9	5.1	8.5	1124	77	6	14.6	60.6%	19.7%	0.54
13	Christian Kirk	JAX	17	68	65.2	4.9	7.8	1108	84	8	13.2	63.2%	23.6%	0.55
14	Garrett Wilson	NYJ	17	65	64.9	4.9	8.6	1103	83	4	13.3	56.5%	25.4%	0.58
15	DK Metcalf	SEA	17	67	61.6	5.3	8.3	1048	90	6	11.6	63.8%	25.3%	0.63
16	Ja'Marr Chase	CIN	12	83	87.2	7.2	11.2	1046	87	9	12.0	64.9%	29.5%	0.71
17	Chris Olave	NO	15	65	69.5	4.8	7.9	1042	72	4	14.5	60.5%	26.2%	0.67
18	Tyler Lockett	SEA	16	70	64.6	5.2	7.3	1033	84	9	12.3	71.8%	22.6%	0.56
19	Tee Higgins	CIN	14	72	73.5	5.3	7.8	1029	74	7	13.9	67.9%	21.4%	0.55
20	Chris Godwin Jr.	TB	15	70	68.2	6.9	9.5	1023	104	3	9.8	73.2%	22.0%	0.45
21	Brandon Aiyuk	SF	17	67	59.7	4.6	6.7	1015	78	8	13.0	68.4%	22.4%	0.57
22	Jerry Jeudy	DEN	15	66	64.8	4.5	6.7	972	67	6	14.5	67.0%	21.3%	0.50
23	JuJu Smith-Schuster	KC	16	64	58.3	4.9	6.3	933	78	3	12.0	77.2%	17.0%	0.37
24	Michael Pittman	IND	16	67	57.8	6.2	8.8	925	99	4	9.3	70.2%	26.1%	0.59
25	Mike Williams	LAC	13	66	68.8	4.8	7.2	895	63	4	14.2	67.7%	18.4%	0.50
26	DJ Moore	CAR	17	63	52.2	3.7	6.9	888	63	7	14.1	53.4%	28.8%	0.80
27	Diontae Johnson	PIT	17	61	51.9	5.1	8.6	882	86	0	10.3	58.5%	27.5%	0.65
28	Drake London	ATL	17	62	50.9	4.2	6.9	866	72	4	12.0	61.5%	28.9%	0.64
29	Donovan Peoples-Jones	CLE	17	58	49.4	3.6	5.6	839	61	3	13.8	63.5%	18.8%	0.45
30	Gabe Davis	BUF	15	63	55.7	3.2	6.2	836	48	7	17.4	51.6%	19.0%	0.49
31	Courtland Sutton	DEN	15	60	55.3	4.3	7.3	829	64	2	13.0	58.7%	22.9%	0.55
32	Zay Jones	JAX	16	64	51.4	5.1	7.6	823	82	5	10.0	67.8%	21.4%	0.50
33	Cooper Kupp	LAR	9	79	90.2	8.3	10.9	812	75	6	10.8	76.5%	30.6%	0.71
34	Jakobi Meyers	NE	14	65	57.4	4.8	6.9	804	67	6	12.0	69.8%	22.5%	0.54
35	George Pickens	PIT	17	58	47.1	3.1	4.9	801	52	4	15.4	61.9%	16.0%	0.43
36	Allen Lazard	GB	15	63	52.5	4.0	6.7	788	60	6	13.1	60.0%	20.5%	0.51
37	Josh Palmer	LAC	16	59	48.1	4.5	6.7	769	72	3	10.7	67.3%	16.6%	0.41
38	Tyler Boyd	CIN	16	60	47.6	3.6	5.1	762	58	5	13.1	70.7%	13.8%	0.33
39	Keenan Allen	LAC	10	69	75.2	6.6	8.9	752	66	4	11.4	74.2%	23.3%	0.55
40	Darius Slayton	NYG	13	59	55.7	3.5	5.5	724	46	2	15.7	64.8%	19.3%	0.54
41	DeAndre Hopkins	ARI	9	72	79.7	7.1	10.7	717	64	3	11.2	66.7%	29.6%	0.73
42	Adam Thielen	MIN	17	61	42.1	4.1	6.3	716	70	6	10.2	65.4%	17.2%	0.41
43	Marquise Brown	ARI	12	64	59.1	5.6	8.9	709	67	3	10.6	62.6%	23.5%	0.61
44	Brandin Cooks	HOU	13	62	53.8	4.4	7.2	699	57	3	12.3	61.3%	21.1%	0.52
45	Mack Hollins	LV	17	57	40.6	3.4	5.5	690	57	4	12.1	60.6%	16.8%	0.40
46	Marquez Valdes-Scantling	KC	17	51	40.4	2.5	4.8	687	42	2	16.4	51.9%	14.1%	0.39
47	Curtis Samuel	WAS	17	58	38.6	3.8	5.4	656	64	4	10.2	69.6%	16.2%	0.34
48	K.J. Osborn	MIN	17	57	38.2	3.5	5.3	650	60	5	10.8	66.7%	13.7%	0.31
49	Deebo Samuel Sr.	SF	13	62	48.6	4.3	7.2	632	56	2	11.3	59.6%	23.9%	0.45
50	Parris Campbell	IND	17	55	36.6	3.7	5.4	623	63	3	9.9	69.2%	15.8%	0.35
51	Kalif Raymond	DET	17	49	36.2	2.8	3.8	616	47	0	13.1	73.4%	12.1%	0.29
52	Christian Watson	GB	14	60	43.6	2.9	4.7	611	41	7	14.9	62.1%	16.7%	0.43
53	Alec Pierce	IND	16	51	37.1	2.6	4.9	593	41	2	14.5	52.6%	14.6%	0.40
54	Richie James	NYG	16	56	35.6	3.6	4.4	569	57	4	10.0	81.4%	15.4%	0.35
55	Noah Brown	DAL	16	52	34.7	2.7	4.6	555	43	3	12.9	58.1%	14.6%	0.35
56	Chris Moore	HOU	15	54	36.5	3.2	4.9	548	48	2	11.4	64.9%	16.0%	0.35
57	DeVante Parker	NE	12	56	44.9	2.6	3.9	539	31	3	17.4	66.0%	12.4%	0.35
58	DeAndre Carter	LAC	17	49	31.6	2.7	3.8	538	46	3	11.7	70.8%	9.2%	0.23
59	Corey Davis	NYJ	13	53	41.2	2.5	4.9	536	32	2	16.8	50.0%	13.8%	0.37
60	Olamide Zaccheaus	ATL	16	52	33.3	2.5	3.8	533	40	3	13.3	65.6%	16.9%	0.41

What this is. Finished box-score production from 2022, 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.