Players 2020 final

1

Stefon Diggs

BUF· 16 G

1535 Rec yards

2

DeAndre Hopkins

ARI· 16 G

1407 Rec yards

3

Justin Jefferson

MIN· 16 G

1400 Rec yards

4

Calvin Ridley

ATL· 15 G

1374 Rec yards

5

Davante Adams

GB· 14 G

1374 Rec yards

Wide receivers — 2020 · 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	Stefon Diggs	BUF	16	86	95.9	7.9	10.4	1535	127	8	12.1	76.5%	29.9%	0.69
2	DeAndre Hopkins	ARI	16	81	87.9	7.2	10.0	1407	115	6	12.2	71.9%	29.5%	0.68
3	Justin Jefferson	MIN	16	73	87.5	5.5	7.8	1400	88	7	15.9	70.4%	25.3%	0.64
4	Calvin Ridley	ATL	15	79	91.6	6.0	9.5	1374	90	9	15.3	62.9%	25.1%	0.66
5	Davante Adams	GB	14	91	98.1	8.2	10.6	1374	115	18	11.9	77.2%	34.0%	0.78
6	DK Metcalf	SEA	16	78	81.4	5.2	8.1	1303	83	10	15.7	64.3%	24.6%	0.64
7	Tyreek Hill	KC	15	83	85.1	5.8	9.0	1276	87	15	14.7	64.4%	23.3%	0.59
8	Allen Robinson	CHI	16	72	78.1	6.4	9.4	1250	102	6	12.3	67.5%	25.7%	0.61
9	DJ Moore	CAR	15	65	79.5	4.4	7.9	1193	66	4	18.1	55.9%	24.6%	0.65
10	Brandin Cooks	HOU	15	69	76.7	5.4	7.9	1150	81	6	14.2	68.1%	23.7%	0.56
11	Terry McLaurin	WAS	15	70	74.5	5.8	8.9	1118	87	4	12.9	64.9%	26.9%	0.72
12	Amari Cooper	DAL	16	71	69.6	5.8	8.1	1114	92	5	12.1	70.8%	21.2%	0.49
13	Robbie Chosen	CAR	16	66	68.5	5.9	8.5	1096	95	3	11.5	69.9%	25.7%	0.61
14	A.J. Brown	TEN	14	76	76.8	5.0	7.6	1075	70	11	15.4	66.0%	27.2%	0.65
15	Tyler Lockett	SEA	16	77	65.9	6.2	8.2	1054	100	10	10.5	75.8%	24.3%	0.55
16	Mike Evans	TB	16	71	62.9	4.4	6.8	1006	70	13	14.4	64.2%	17.9%	0.43
17	Keenan Allen	LAC	14	75	70.9	7.1	10.5	992	100	8	9.9	68.0%	26.7%	0.58
18	Corey Davis	TEN	14	64	70.3	4.6	6.6	984	65	5	15.1	70.7%	22.4%	0.55
19	Marvin Jones	DET	16	67	61.1	4.8	7.2	978	76	9	12.9	66.1%	20.3%	0.50
20	Cooper Kupp	LAR	15	66	64.9	6.1	8.3	974	92	3	10.6	74.2%	22.9%	0.49
21	Cole Beasley	BUF	15	65	64.5	5.5	7.1	967	82	4	11.8	76.6%	19.7%	0.42
22	Robert Woods	LAR	16	68	58.5	5.6	8.1	936	90	6	10.4	69.8%	23.3%	0.51
23	CeeDee Lamb	DAL	16	63	58.4	4.6	6.9	935	74	5	12.6	66.7%	18.4%	0.43
24	Adam Thielen	MIN	15	74	61.7	4.9	7.2	925	74	14	12.5	68.5%	25.6%	0.61
25	Diontae Johnson	PIT	15	70	61.5	5.9	9.6	923	88	7	10.5	61.1%	22.2%	0.51
26	Tee Higgins	CIN	15	64	60.5	4.5	7.2	908	67	6	13.6	62.0%	21.8%	0.52
27	Nelson Agholor	LV	16	61	56.0	3.0	5.1	896	48	8	18.7	58.5%	15.4%	0.41
28	Will Fuller	HOU	11	72	79.9	4.8	6.8	879	53	8	16.6	70.7%	21.8%	0.53
29	Chase Claypool	PIT	16	64	54.6	3.9	6.8	873	62	9	14.1	56.9%	17.1%	0.47
30	Jerry Jeudy	DEN	16	55	53.5	3.2	7.1	856	52	3	16.5	46.0%	20.3%	0.52
31	Curtis Samuel	CAR	15	62	56.7	5.1	6.5	851	77	3	11.1	79.4%	19.4%	0.42
32	Michael Gallup	DAL	16	60	52.7	3.7	6.6	843	59	5	14.3	56.2%	17.6%	0.45
33	Tyler Boyd	CIN	15	63	56.1	5.3	7.3	841	79	4	10.6	71.8%	20.0%	0.46
34	Jarvis Landry	CLE	15	61	56.0	4.8	6.7	840	72	3	11.7	71.3%	24.0%	0.52
35	Chris Godwin Jr.	TB	12	69	70.0	5.4	7.0	840	65	7	12.9	77.4%	18.8%	0.42
36	JuJu Smith-Schuster	PIT	16	68	51.9	6.1	8.0	831	97	9	8.6	75.8%	19.4%	0.39
37	DeVante Parker	MIA	14	61	56.6	4.5	7.4	793	63	4	12.6	61.2%	21.1%	0.50
38	Russell Gage	ATL	16	59	49.1	4.5	6.8	786	72	4	10.9	66.1%	17.9%	0.39
39	Julio Jones	ATL	9	67	85.7	5.7	7.6	771	51	3	15.1	75.0%	20.0%	0.47
40	Marquise Brown	BAL	16	62	48.1	3.6	6.2	769	58	8	13.3	58.0%	26.8%	0.67
41	T.Y. Hilton	IND	15	57	50.8	3.7	6.2	762	56	5	13.6	60.2%	19.1%	0.52
42	Mike Williams	LAC	14	59	54.0	3.4	6.1	756	48	5	15.8	56.5%	16.6%	0.46
43	Darius Slayton	NYG	16	56	46.9	3.1	6.0	751	50	3	15.0	52.1%	19.3%	0.52
44	Brandon Aiyuk	SF	12	66	62.3	5.0	8.0	748	60	5	12.5	62.5%	21.9%	0.54
45	Tim Patrick	DEN	15	58	49.5	3.4	5.3	742	51	6	14.5	64.6%	17.2%	0.40
46	Jakobi Meyers	NE	12	59	60.8	4.9	6.8	729	59	0	12.4	72.8%	28.8%	0.70
47	Emmanuel Sanders	NO	14	60	51.9	4.4	5.9	726	61	5	11.9	74.4%	18.6%	0.44
48	DJ Chark	JAX	13	61	54.3	4.1	7.2	706	53	5	13.3	57.0%	20.0%	0.53
49	Jamison Crowder	NYJ	12	65	58.2	4.9	7.4	699	59	6	11.8	66.3%	24.6%	0.50
50	Marquez Valdes-Scantling	GB	14	56	49.3	2.4	4.5	690	33	6	20.9	52.4%	14.0%	0.43
51	Kendrick Bourne	SF	15	53	44.5	3.3	4.9	667	49	2	13.6	66.2%	13.7%	0.35
52	Hunter Renfrow	LV	16	53	41.0	3.5	4.8	656	56	2	11.7	72.7%	14.3%	0.30
53	Sterling Shepard	NYG	12	63	54.7	5.5	7.5	656	66	3	9.9	73.3%	23.8%	0.52
54	Keelan Cole	JAX	16	55	40.1	3.4	5.5	642	55	5	11.7	62.5%	14.9%	0.36
55	Darnell Mooney	CHI	16	55	39.4	3.8	6.1	631	61	4	10.3	62.2%	16.2%	0.40
56	Zach Pascal	IND	16	53	39.3	2.8	4.4	629	44	5	14.3	62.0%	13.7%	0.35
57	Christian Kirk	ARI	14	57	44.4	3.4	5.6	621	48	6	12.9	60.8%	16.4%	0.41
58	Josh Reynolds	LAR	16	52	38.6	3.2	5.1	618	52	2	11.9	64.2%	14.2%	0.36
59	Damiere Byrd	NE	15	51	40.3	3.1	5.1	604	47	1	12.9	61.0%	19.0%	0.49
60	Danny Amendola	DET	14	52	43.0	3.3	4.9	602	46	0	13.1	66.7%	14.0%	0.30

What this is. Finished box-score production from 2020, 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.