Players 2017 final

1

Antonio Brown

PIT· 14 G

1533 Rec yards

2

Julio Jones

ATL· 16 G

1444 Rec yards

3

Keenan Allen

LAC· 16 G

1393 Rec yards

4

DeAndre Hopkins

HOU· 15 G

1378 Rec yards

5

Adam Thielen

MIN· 16 G

1276 Rec yards

Wide receivers — 2017 · 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	Antonio Brown	PIT	14	91	109.5	7.2	11.6	1533	101	9	15.2	62.0%	31.0%	0.77
2	Julio Jones	ATL	16	74	90.2	5.5	9.2	1444	88	3	16.4	59.5%	29.0%	0.74
3	Keenan Allen	LAC	16	83	87.1	6.4	9.9	1393	102	6	13.7	64.2%	27.7%	0.64
4	DeAndre Hopkins	HOU	15	86	91.9	6.4	11.6	1378	96	13	14.4	55.2%	35.7%	0.86
5	Adam Thielen	MIN	16	75	79.8	5.7	8.9	1276	91	4	14.0	64.1%	27.3%	0.67
6	Michael Thomas	NO	16	78	77.8	6.5	9.3	1245	104	5	12.0	69.8%	28.6%	0.73
7	Tyreek Hill	KC	15	76	78.9	5.0	7.0	1183	75	7	15.8	71.4%	21.8%	0.57
8	Larry Fitzgerald	ARI	16	79	72.2	6.8	10.1	1156	109	6	10.6	67.7%	28.1%	0.59
9	Marvin Jones	DET	16	73	68.8	3.8	6.7	1101	61	9	18.0	57.0%	18.9%	0.53
10	Brandin Cooks	NE	16	70	67.6	4.1	7.1	1082	65	7	16.6	57.0%	19.6%	0.52
11	A.J. Green	CIN	16	73	67.4	4.7	8.9	1078	75	8	14.4	52.4%	29.0%	0.74
12	Golden Tate	DET	16	71	62.7	5.8	7.5	1003	92	5	10.9	76.7%	21.4%	0.43
13	Mike Evans	TB	15	69	66.7	4.7	9.1	1001	71	5	14.1	52.2%	24.3%	0.59
14	Doug Baldwin	SEA	16	72	61.9	4.7	7.2	991	75	8	13.2	64.7%	21.5%	0.52
15	Jarvis Landry	MIA	16	81	61.7	7.0	10.1	987	112	9	8.8	69.6%	27.8%	0.56
16	T.Y. Hilton	IND	16	65	60.4	3.6	6.8	966	57	4	16.9	52.3%	23.6%	0.61
17	Marquise Goodwin	SF	16	61	60.1	3.5	6.6	962	56	2	17.2	53.3%	17.8%	0.49
18	Demaryius Thomas	DEN	16	68	59.3	5.2	8.8	949	83	5	11.4	59.3%	25.7%	0.60
19	Robbie Chosen	NYJ	16	67	58.8	3.9	7.1	941	63	7	14.9	55.3%	23.0%	0.60
20	JuJu Smith-Schuster	PIT	14	69	65.5	4.1	5.6	917	58	7	15.8	73.4%	17.3%	0.38
21	Davante Adams	GB	14	77	63.2	5.3	8.4	885	74	10	12.0	63.2%	25.0%	0.62
22	Cooper Kupp	LAR	15	66	57.9	4.1	6.3	869	62	5	14.0	66.0%	19.5%	0.44
23	Stefon Diggs	MIN	14	71	60.6	4.6	6.8	849	64	8	13.3	67.4%	21.3%	0.53
24	Kenny Stills	MIA	16	63	52.9	3.6	6.6	847	58	6	14.6	55.2%	17.8%	0.47
25	Devin Funchess	CAR	16	66	52.5	3.9	6.9	840	63	8	13.3	56.8%	22.9%	0.57
26	Dez Bryant	DAL	16	65	52.4	4.3	8.2	838	69	6	12.1	52.3%	26.6%	0.66
27	Jermaine Kearse	NYJ	16	62	50.6	4.1	6.4	810	65	5	12.5	63.7%	21.0%	0.51
28	Rishard Matthews	TEN	14	64	56.8	3.8	6.2	795	53	4	15.0	60.9%	20.4%	0.49
29	Alshon Jeffery	PHI	16	66	49.3	3.6	7.5	789	57	9	13.8	47.5%	22.0%	0.55
30	Jamison Crowder	WAS	15	63	52.6	4.4	6.9	789	66	3	12.0	64.1%	20.3%	0.44
31	Ted Ginn	NO	15	61	52.5	3.5	4.7	787	53	4	14.8	75.7%	14.3%	0.39
32	Robert Woods	LAR	12	70	65.1	4.7	7.1	781	56	5	13.9	65.9%	23.1%	0.55
33	Nelson Agholor	PHI	16	65	48.0	3.9	5.9	768	62	8	12.4	65.3%	16.9%	0.38
34	Keelan Cole	JAX	16	56	46.8	2.6	5.2	748	42	3	17.8	50.6%	15.5%	0.40
35	Mike Wallace	BAL	15	60	49.9	3.5	6.1	748	52	4	14.4	56.5%	16.4%	0.47
36	Sterling Shepard	NYG	11	67	66.5	5.4	7.6	731	59	2	12.4	70.2%	18.2%	0.43
37	Tyrell Williams	LAC	16	57	45.5	2.7	4.3	728	43	4	16.9	62.3%	12.1%	0.32
38	Mohamed Sanu	ATL	15	62	46.9	4.5	6.4	703	67	5	10.5	69.8%	20.2%	0.43
39	Paul Richardson	SEA	16	59	43.9	2.8	5.0	703	44	6	16.0	55.0%	15.6%	0.40
40	Marqise Lee	JAX	13	63	54.0	4.3	7.4	702	56	3	12.5	58.3%	23.7%	0.61
41	Amari Cooper	LV	14	64	48.6	3.4	6.9	680	48	7	14.2	50.0%	19.4%	0.48
42	Kelvin Benjamin	CAR	14	58	47.9	3.4	5.5	671	47	3	14.3	61.0%	18.7%	0.45
43	DeVante Parker	MIA	13	60	51.5	4.4	7.4	670	57	1	11.8	59.4%	19.8%	0.51
44	DeSean Jackson	TB	14	60	47.7	3.6	6.4	668	50	3	13.4	55.6%	17.1%	0.45
45	Danny Amendola	NE	15	58	43.9	4.1	5.7	659	61	2	10.8	70.9%	15.6%	0.33
46	Randall Cobb	GB	14	64	46.6	4.7	6.6	653	66	4	9.9	71.7%	18.3%	0.37
47	Adam Humphries	TB	16	56	39.4	3.8	5.2	631	61	1	10.3	73.5%	13.6%	0.26
48	Michael Crabtree	LV	13	68	47.5	4.5	7.8	618	58	8	10.7	57.4%	21.8%	0.54
49	Kendall Wright	CHI	15	57	40.9	3.9	6.1	614	59	1	10.4	64.8%	19.0%	0.43
50	Martavis Bryant	PIT	15	57	40.2	3.3	5.6	603	50	3	12.1	59.5%	15.3%	0.41
51	Sammy Watkins	LAR	15	59	39.5	2.6	4.7	593	39	8	15.2	55.7%	15.1%	0.42
52	Ryan Grant	WAS	16	55	35.8	2.8	4.1	573	45	4	12.7	69.2%	11.9%	0.29
53	Terrance Williams	DAL	16	54	35.5	3.3	4.9	568	53	0	10.7	67.9%	16.5%	0.37
54	Travis Benjamin	LAC	16	54	35.4	2.1	4.1	567	34	4	16.7	52.3%	11.4%	0.31
55	Eric Decker	TEN	16	54	35.2	3.4	5.2	563	54	1	10.4	65.1%	17.7%	0.41
56	Tyler Lockett	SEA	16	54	34.7	2.8	4.4	555	45	2	12.3	63.4%	13.3%	0.31
57	Deonte Thompson	CHI	16	51	34.7	2.4	4.3	555	38	2	14.6	55.1%	13.1%	0.35
58	Emmanuel Sanders	DEN	12	58	46.2	3.9	7.7	555	47	2	11.8	51.1%	22.8%	0.52
59	Albert Wilson	KC	13	58	42.6	3.2	4.8	554	42	3	13.2	67.7%	14.5%	0.29
60	Brandon LaFell	CIN	16	55	34.2	3.2	5.6	548	52	3	10.5	58.4%	18.2%	0.40

What this is. Finished box-score production from 2017, 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.