Players 2023 final

1

Tyreek Hill

MIA· 16 G

1799 Rec yards

2

CeeDee Lamb

DAL· 17 G

1749 Rec yards

3

Amon-Ra St. Brown

DET· 16 G

1515 Rec yards

4

Puka Nacua

LAR· 17 G

1486 Rec yards

5

A.J. Brown

PHI· 17 G

1456 Rec yards

Wide receivers — 2023 · 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	Tyreek Hill	MIA	16	92	112.4	7.4	10.7	1799	119	13	15.1	69.6%	33.0%	0.80
2	CeeDee Lamb	DAL	17	86	102.9	7.9	10.6	1749	135	12	13.0	74.6%	29.3%	0.69
3	Amon-Ra St. Brown	DET	16	83	94.7	7.4	10.2	1515	119	10	12.7	72.6%	29.5%	0.67
4	Puka Nacua	LAR	17	78	87.4	6.2	9.4	1486	105	6	14.2	65.6%	28.7%	0.65
5	A.J. Brown	PHI	17	77	85.6	6.2	9.3	1456	106	7	13.7	67.1%	30.4%	0.73
6	DJ Moore	CHI	17	74	80.2	5.6	8.0	1364	96	8	14.2	70.6%	29.5%	0.72
7	Brandon Aiyuk	SF	16	71	83.9	4.7	6.6	1342	75	7	17.9	71.4%	24.6%	0.64
8	Nico Collins	HOU	15	75	86.5	5.3	7.3	1297	80	8	16.2	73.4%	22.7%	0.54
9	Mike Evans	TB	17	76	73.8	4.6	8.0	1255	79	13	15.9	58.1%	25.2%	0.65
10	Amari Cooper	CLE	15	69	83.3	4.8	8.5	1250	72	5	17.4	56.2%	23.7%	0.63
11	Keenan Allen	LAC	13	81	95.6	8.3	11.5	1243	108	7	11.5	72.0%	31.4%	0.76
12	Ja'Marr Chase	CIN	16	74	76.0	6.2	9.1	1216	100	7	12.2	69.0%	26.0%	0.63
13	Stefon Diggs	BUF	17	73	69.6	6.3	9.4	1183	107	8	11.1	66.9%	30.1%	0.67
14	Michael Pittman	IND	16	72	72.0	6.8	9.8	1152	109	4	10.6	69.9%	30.4%	0.68
15	Davante Adams	LV	17	72	67.3	6.1	10.3	1144	103	8	11.1	58.9%	32.5%	0.80
16	George Pickens	PIT	17	64	67.1	3.7	6.2	1140	63	5	18.1	59.4%	22.5%	0.60
17	Chris Olave	NO	16	69	70.2	5.4	8.6	1123	87	5	12.9	63.0%	24.8%	0.64
18	DK Metcalf	SEA	16	68	69.6	4.1	7.4	1114	66	8	16.9	55.5%	22.5%	0.61
19	Justin Jefferson	MIN	10	79	107.4	6.8	10.0	1074	68	5	15.8	68.0%	28.1%	0.70
20	DeVonta Smith	PHI	16	70	66.6	5.1	7.0	1066	81	7	13.2	72.3%	23.1%	0.57
21	DeAndre Hopkins	TEN	17	66	62.2	4.4	8.1	1057	75	7	14.1	54.7%	28.3%	0.71
22	Garrett Wilson	NYJ	17	66	61.3	5.6	9.9	1042	95	3	11.0	56.5%	29.8%	0.75
23	Chris Godwin Jr.	TB	17	63	60.2	4.9	7.6	1024	83	2	12.3	63.8%	23.9%	0.54
24	Calvin Ridley	JAX	17	68	59.8	4.5	8.0	1016	76	8	13.4	55.9%	22.5%	0.59
25	Adam Thielen	CAR	17	67	59.6	6.1	8.1	1014	103	4	9.8	75.2%	25.4%	0.55
26	Jaylen Waddle	MIA	14	70	72.4	5.1	7.4	1014	72	4	14.1	69.2%	23.5%	0.59
27	Terry McLaurin	WAS	17	63	58.9	4.6	7.8	1002	79	4	12.7	59.8%	22.8%	0.56
28	Rashee Rice	KC	16	67	58.6	4.9	6.4	938	79	7	11.9	77.5%	18.1%	0.37
29	Jordan Addison	MIN	17	65	53.6	4.1	6.4	911	70	10	13.0	64.8%	17.7%	0.46
30	Drake London	ATL	16	60	56.6	4.3	6.9	905	69	2	13.1	62.7%	22.8%	0.56
31	Tyler Lockett	SEA	17	62	52.6	4.6	7.2	894	79	5	11.3	64.8%	22.2%	0.56
32	Deebo Samuel Sr.	SF	15	65	59.5	4.0	5.9	892	60	7	14.9	67.4%	20.6%	0.42
33	Zay Flowers	BAL	16	63	53.6	4.8	6.8	858	77	5	11.1	71.3%	23.9%	0.53
34	Jakobi Meyers	LV	16	64	50.4	4.4	6.6	807	71	8	11.4	67.0%	20.6%	0.49
35	Jayden Reed	GB	16	62	49.6	4.0	5.9	793	64	8	12.4	68.1%	17.7%	0.41
36	Christian Kirk	JAX	12	65	65.6	4.8	7.1	787	57	3	13.8	67.1%	21.1%	0.52
37	Courtland Sutton	DEN	16	64	48.2	3.7	5.6	772	59	10	13.1	65.6%	20.6%	0.54
38	Josh Downs	IND	17	59	45.4	4.0	5.8	771	68	2	11.3	69.4%	17.3%	0.38
39	Darius Slayton	NYG	17	57	45.3	2.9	4.6	770	50	4	15.4	63.3%	16.0%	0.42
40	Jerry Jeudy	DEN	16	58	47.4	3.4	5.4	758	54	2	14.0	62.1%	19.9%	0.53
41	Gabe Davis	BUF	16	58	46.6	2.8	5.1	746	45	7	16.6	55.6%	15.4%	0.42
42	Cooper Kupp	LAR	12	66	61.4	4.9	7.9	737	59	5	12.5	62.1%	25.8%	0.57
43	Rashid Shaheed	NO	15	59	47.9	3.1	5.0	719	46	5	15.6	61.3%	13.8%	0.36
44	Diontae Johnson	PIT	13	62	55.2	3.9	6.7	717	51	5	14.1	58.6%	23.6%	0.64
45	Tank Dell	HOU	10	69	70.9	4.7	7.5	709	47	7	15.1	62.7%	21.0%	0.53
46	Romeo Doubs	GB	17	60	39.6	3.5	5.6	674	59	8	11.4	61.5%	16.7%	0.40
47	Tyler Boyd	CIN	17	57	39.2	3.9	5.8	667	67	2	10.0	68.4%	16.3%	0.37
48	Brandin Cooks	DAL	16	59	41.1	3.4	5.1	657	54	8	12.2	66.7%	14.3%	0.37
49	Tee Higgins	CIN	12	61	54.7	3.5	6.3	656	42	5	15.6	55.3%	17.6%	0.51
50	Elijah Moore	CLE	16	57	40.0	3.7	6.5	640	59	2	10.8	56.7%	18.4%	0.43
51	Jaxon Smith-Njigba	SEA	17	58	36.9	3.7	5.5	628	63	4	10.0	67.7%	17.5%	0.36
52	Curtis Samuel	WAS	16	58	38.3	3.9	5.7	613	62	4	9.9	68.1%	16.8%	0.35
53	Khalil Shakir	BUF	16	54	38.2	2.4	2.8	611	39	2	15.7	86.7%	8.8%	0.20
54	Josh Reynolds	DET	16	56	38.0	2.5	4.0	608	40	5	15.2	62.5%	12.3%	0.31
55	Dontayvion Wicks	GB	15	55	38.7	2.6	3.9	581	39	4	14.9	67.2%	11.5%	0.28
56	Josh Palmer	LAC	10	61	58.1	3.8	6.1	581	38	2	15.3	62.3%	17.7%	0.44
57	Marquise Brown	ARI	13	60	44.2	3.9	7.8	574	51	4	11.3	50.5%	25.2%	0.63
58	Noah Brown	HOU	10	59	56.7	3.3	5.5	567	33	2	17.2	60.0%	16.7%	0.40
59	Odell Beckham Jr.	BAL	14	55	40.4	2.5	4.6	565	35	3	16.1	54.7%	15.7%	0.41
60	Michael Wilson	ARI	13	57	43.5	2.9	4.5	565	38	3	14.9	65.5%	13.6%	0.38

What this is. Finished box-score production from 2023, 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.