Players 2019 final

1

Michael Thomas

NO· 16 G

1725 Rec yards

2

Julio Jones

ATL· 15 G

1394 Rec yards

3

Chris Godwin Jr.

TB· 14 G

1333 Rec yards

4

DeVante Parker

MIA· 16 G

1202 Rec yards

5

Keenan Allen

LAC· 16 G

1199 Rec yards

Wide receivers — 2019 · 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	Michael Thomas	NO	16	91	107.8	9.3	11.6	1725	149	9	11.6	80.5%	33.0%	0.78
2	Julio Jones	ATL	15	83	92.9	6.6	10.5	1394	99	6	14.1	63.1%	26.3%	0.67
3	Chris Godwin Jr.	TB	14	86	95.2	6.1	8.6	1333	86	9	15.5	71.1%	23.4%	0.52
4	DeVante Parker	MIA	16	77	75.1	4.5	8.0	1202	72	9	16.7	56.2%	21.0%	0.55
5	Keenan Allen	LAC	16	74	74.9	6.5	9.3	1199	104	6	11.5	69.8%	25.9%	0.59
6	Kenny Golladay	DET	16	73	74.4	4.1	7.2	1190	65	11	18.3	56.0%	22.3%	0.55
7	Amari Cooper	DAL	16	71	74.3	4.9	7.4	1189	79	8	15.1	66.4%	20.1%	0.49
8	DJ Moore	CAR	15	69	78.3	5.8	9.0	1175	87	4	13.5	64.4%	24.3%	0.59
9	Jarvis Landry	CLE	16	73	73.4	5.2	8.6	1174	83	6	14.1	60.1%	27.0%	0.61
10	DeAndre Hopkins	HOU	15	81	77.7	6.9	10.0	1165	104	7	11.2	69.3%	31.2%	0.71
11	Cooper Kupp	LAR	16	78	72.6	5.9	8.4	1161	94	10	12.4	70.1%	22.2%	0.47
12	Mike Evans	TB	13	76	89.0	5.2	9.1	1157	67	8	17.3	56.8%	24.1%	0.60
13	Allen Robinson	CHI	16	72	71.7	6.1	9.6	1147	98	7	11.7	63.6%	27.4%	0.68
14	Robert Woods	LAR	15	67	75.6	6.0	9.3	1134	90	2	12.6	64.7%	22.9%	0.52
15	Stefon Diggs	MIN	15	66	75.3	4.2	6.3	1130	63	6	17.9	67.0%	22.5%	0.63
16	Julian Edelman	NE	16	75	69.8	6.2	9.6	1117	100	6	11.2	65.4%	25.8%	0.60
17	Courtland Sutton	DEN	16	67	69.5	4.5	7.8	1112	72	6	15.4	58.1%	27.1%	0.71
18	Michael Gallup	DAL	14	69	79.1	4.7	8.1	1107	66	6	16.8	58.4%	21.5%	0.52
19	John Brown	BUF	15	68	70.7	4.8	7.7	1060	72	6	14.7	62.6%	25.8%	0.66
20	Tyler Lockett	SEA	16	70	66.1	5.1	6.9	1057	82	8	12.9	74.5%	21.3%	0.51
21	A.J. Brown	TEN	16	64	65.7	3.2	5.2	1051	52	8	20.2	61.9%	19.9%	0.50
22	Tyler Boyd	CIN	16	70	65.4	5.6	9.2	1046	90	5	11.6	60.8%	25.2%	0.57
23	Odell Beckham Jr.	CLE	16	64	64.7	4.6	8.3	1035	74	4	14.0	55.6%	25.6%	0.64
24	DJ Chark	JAX	15	68	67.2	4.9	7.9	1008	73	8	13.8	61.9%	22.1%	0.56
25	Mike Williams	LAC	15	60	66.7	3.3	6.0	1001	49	2	20.4	54.4%	16.3%	0.49
26	Davante Adams	GB	12	79	83.1	6.9	10.6	997	83	5	12.0	65.4%	30.7%	0.69
27	Terry McLaurin	WAS	14	66	65.6	4.1	6.6	919	58	7	15.8	62.4%	23.4%	0.62
28	DK Metcalf	SEA	16	63	56.2	3.6	6.2	900	58	7	15.5	58.0%	20.4%	0.50
29	Emmanuel Sanders	SF	17	60	51.1	3.9	5.7	869	66	5	13.2	68.0%	18.1%	0.47
30	Calvin Ridley	ATL	13	66	66.6	4.8	7.2	866	63	7	13.7	67.7%	17.5%	0.45
31	Tyreek Hill	KC	12	71	71.7	4.8	7.4	860	58	7	14.8	65.2%	21.4%	0.57
32	Jamison Crowder	NYJ	16	65	52.1	4.9	7.6	833	78	6	10.7	63.9%	24.4%	0.54
33	Randall Cobb	DAL	15	58	55.2	3.7	5.5	828	55	3	15.1	66.3%	15.7%	0.34
34	Larry Fitzgerald	ARI	16	61	50.2	4.7	6.8	804	75	4	10.7	68.8%	20.4%	0.44
35	Deebo Samuel Sr.	SF	15	59	53.5	3.8	5.4	802	57	3	14.1	70.4%	17.6%	0.39
36	Marvin Jones	DET	13	67	59.9	4.8	7.0	779	62	9	12.6	68.1%	20.2%	0.49
37	Robbie Chosen	NYJ	16	58	48.7	3.2	6.0	779	52	5	15.0	54.2%	19.3%	0.52
38	Cole Beasley	BUF	15	64	51.9	4.5	7.1	778	67	6	11.6	63.2%	24.0%	0.49
39	Chris Conley	JAX	16	56	48.4	2.9	5.6	775	47	5	16.5	52.2%	16.2%	0.45
40	Darius Slayton	NYG	14	62	52.9	3.4	6.0	740	48	8	15.4	57.1%	16.9%	0.45
41	James Washington	PIT	15	57	49.0	2.9	5.3	735	44	3	16.7	55.0%	17.8%	0.49
42	Christian Kirk	ARI	13	63	54.5	5.2	8.3	709	68	3	10.4	63.0%	24.3%	0.58
43	Diontae Johnson	PIT	16	59	42.5	3.7	5.8	680	59	5	11.5	64.1%	20.8%	0.49
44	Danny Amendola	DET	15	55	45.2	4.1	6.5	678	62	1	10.9	63.9%	17.9%	0.38
45	Golden Tate	NYG	11	65	61.5	4.5	7.7	676	49	6	13.8	57.6%	21.5%	0.50
46	Sammy Watkins	KC	13	60	51.8	4.0	6.9	673	52	3	12.9	57.8%	19.1%	0.45
47	Will Fuller	HOU	11	61	60.9	4.5	6.5	670	49	3	13.7	69.0%	20.7%	0.51
48	Dede Westbrook	JAX	15	57	44.0	4.4	6.7	660	66	3	10.0	65.3%	19.7%	0.41
49	Anthony Miller	CHI	16	54	41.0	3.2	5.3	656	52	2	12.6	61.2%	13.8%	0.32
50	Tyrell Williams	LV	13	61	50.1	3.2	4.9	651	42	6	15.5	65.6%	16.6%	0.47
51	Breshad Perriman	TB	14	56	46.1	2.6	4.9	645	36	6	17.9	52.2%	13.6%	0.35
52	Curtis Samuel	CAR	16	57	39.2	3.4	6.6	627	54	6	11.6	51.4%	18.0%	0.47
53	Zach Pascal	IND	16	54	37.9	2.6	4.5	607	41	5	14.8	56.9%	14.1%	0.34
54	Hunter Renfrow	LV	13	59	46.5	3.8	5.5	605	49	4	12.3	69.0%	17.5%	0.39
55	Corey Davis	TEN	15	54	40.1	2.9	4.6	601	43	2	14.0	62.3%	17.2%	0.44
56	Marquise Brown	BAL	14	59	41.7	3.3	5.1	584	46	7	12.7	64.8%	18.3%	0.41
57	Brandin Cooks	LAR	14	55	41.6	3.0	5.1	583	42	2	13.9	58.3%	12.9%	0.35
58	Sterling Shepard	NYG	10	63	57.6	5.7	8.3	576	57	3	10.1	68.7%	23.7%	0.54
59	Auden Tate	CIN	12	56	47.9	3.3	6.7	575	40	1	14.4	50.0%	18.5%	0.46
60	Kenny Stills	HOU	13	56	43.2	3.1	4.2	561	40	4	14.0	72.7%	13.6%	0.33

What this is. Finished box-score production from 2019, 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.