Players 2018 final

1

Julio Jones

ATL· 16 G

1677 Rec yards

2

DeAndre Hopkins

HOU· 16 G

1572 Rec yards

3

Mike Evans

TB· 16 G

1524 Rec yards

4

Tyreek Hill

KC· 16 G

1479 Rec yards

5

JuJu Smith-Schuster

PIT· 16 G

1426 Rec yards

Wide receivers — 2018 · 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	Julio Jones	ATL	16	79	104.8	7.1	10.6	1677	113	8	14.8	66.5%	28.1%	0.73
2	DeAndre Hopkins	HOU	16	86	98.2	7.2	10.2	1572	115	11	13.7	70.6%	33.4%	0.81
3	Mike Evans	TB	16	72	95.2	5.4	8.6	1524	86	8	17.7	62.3%	22.8%	0.57
4	Tyreek Hill	KC	16	81	92.4	5.4	8.6	1479	87	12	17.0	63.5%	24.2%	0.63
5	JuJu Smith-Schuster	PIT	16	76	89.1	6.9	10.4	1426	111	7	12.8	66.9%	24.0%	0.56
6	Michael Thomas	NO	16	77	87.8	7.8	9.2	1405	125	9	11.2	85.0%	28.7%	0.67
7	Davante Adams	GB	15	91	92.4	7.4	11.3	1386	111	13	12.5	65.7%	29.3%	0.70
8	Adam Thielen	MIN	16	78	85.8	7.1	9.6	1373	113	9	12.2	73.9%	25.3%	0.61
9	Antonio Brown	PIT	15	83	86.5	6.9	11.2	1297	104	15	12.5	61.9%	26.7%	0.66
10	T.Y. Hilton	IND	14	75	90.7	5.4	8.6	1270	76	6	16.7	63.3%	23.2%	0.59
11	Robert Woods	LAR	16	71	76.2	5.4	8.1	1219	86	6	14.2	66.2%	24.2%	0.58
12	Brandin Cooks	LAR	15	70	80.3	5.3	7.8	1204	80	5	15.1	68.4%	23.0%	0.57
13	Keenan Allen	LAC	15	72	79.7	6.5	9.1	1196	97	6	12.3	71.3%	29.3%	0.67
14	Kenny Golladay	DET	15	68	70.9	4.7	7.9	1063	70	5	15.2	58.8%	22.3%	0.61
15	Odell Beckham Jr.	NYG	12	73	87.7	6.4	10.3	1052	77	6	13.7	62.1%	28.8%	0.73
16	Tyler Boyd	CIN	14	69	73.4	5.4	7.7	1028	76	7	13.5	70.4%	22.1%	0.52
17	Stefon Diggs	MIN	15	74	68.1	6.8	9.9	1021	102	9	10.0	68.5%	26.2%	0.60
18	Amari Cooper	LV	15	66	67.0	5.0	7.1	1005	75	7	13.4	70.1%	19.7%	0.48
19	Jarvis Landry	CLE	16	66	61.0	5.1	9.3	976	81	4	12.0	54.4%	26.7%	0.62
20	Tyler Lockett	SEA	16	67	60.3	3.6	4.4	965	57	10	16.9	81.4%	18.0%	0.45
21	Corey Davis	TEN	16	62	55.7	4.1	7.0	891	65	4	13.7	58.0%	26.0%	0.63
22	Sterling Shepard	NYG	16	61	54.5	4.1	6.7	872	66	4	13.2	61.7%	18.6%	0.45
23	Emmanuel Sanders	DEN	12	68	72.3	5.9	8.2	868	71	4	12.2	72.4%	25.4%	0.58
24	Julian Edelman	NE	12	71	70.8	6.2	9.0	850	74	6	11.5	68.5%	25.8%	0.57
25	Alshon Jeffery	PHI	13	67	64.8	5.0	7.1	843	65	6	13.0	70.7%	19.7%	0.50
26	Chris Godwin Jr.	TB	16	62	52.6	3.7	5.9	842	59	7	14.3	62.1%	15.5%	0.35
27	Mohamed Sanu	ATL	16	60	52.4	4.1	5.9	838	66	4	12.7	70.2%	15.8%	0.33
28	Calvin Ridley	ATL	16	65	51.3	4.0	5.8	821	64	10	12.8	69.6%	15.6%	0.36
29	Adam Humphries	TB	16	63	51.0	4.8	6.6	816	76	5	10.7	72.4%	17.2%	0.33
30	Golden Tate	PHI	15	64	53.0	4.9	7.5	795	74	4	10.7	65.5%	21.3%	0.46
31	DJ Moore	CAR	16	57	49.2	3.4	5.1	788	55	2	14.3	67.1%	15.1%	0.35
32	DeSean Jackson	TB	12	62	64.5	3.4	6.2	774	41	4	18.9	55.4%	15.4%	0.43
33	Allen Robinson	CHI	13	64	58.0	4.2	7.2	754	55	4	13.7	58.5%	22.5%	0.57
34	Robbie Chosen	NYJ	14	63	53.7	3.6	6.7	752	50	6	15.0	53.2%	21.0%	0.56
35	Jordy Nelson	LV	15	58	49.3	4.2	5.9	739	63	3	11.7	71.6%	17.8%	0.44
36	Josh Gordon	NE	12	63	61.4	3.4	5.9	737	41	4	18.0	57.7%	16.1%	0.44
37	Nelson Agholor	PHI	16	59	46.0	4.0	6.1	736	64	4	11.5	66.0%	15.7%	0.38
38	Larry Fitzgerald	ARI	16	62	45.9	4.3	7.0	734	69	6	10.6	61.6%	22.8%	0.53
39	Dede Westbrook	JAX	16	61	44.8	4.1	6.3	717	66	5	10.9	65.3%	20.9%	0.50
40	John Brown	BAL	16	55	44.7	2.6	6.1	715	42	5	17.0	43.3%	17.7%	0.48
41	Courtland Sutton	DEN	16	54	44.0	2.6	5.2	704	42	4	16.8	50.0%	15.9%	0.44
42	A.J. Green	CIN	9	68	77.1	5.1	8.6	694	46	6	15.1	59.7%	24.3%	0.64
43	Taylor Gabriel	CHI	16	58	43.0	4.2	5.8	688	67	2	10.3	72.0%	18.9%	0.44
44	Demaryius Thomas	HOU	15	60	45.1	3.9	5.9	677	59	5	11.5	66.3%	18.9%	0.44
45	Cole Beasley	DAL	16	57	42.0	4.1	5.4	672	65	3	10.3	74.7%	17.5%	0.38
46	Donte Moncrief	JAX	16	53	41.8	3.0	5.6	668	48	3	13.9	53.9%	16.1%	0.45
47	Mike Williams	LAC	16	60	41.5	2.7	4.1	664	43	10	15.4	65.2%	13.4%	0.38
48	Tyrell Williams	LAC	15	57	43.5	2.7	4.3	653	41	5	15.9	63.1%	13.9%	0.36
49	Zay Jones	BUF	16	59	40.8	3.5	6.4	652	56	7	11.6	54.9%	21.4%	0.50
50	Willie Snead	BAL	15	55	43.4	4.1	6.3	651	62	1	10.5	65.3%	19.2%	0.41
51	Doug Baldwin	SEA	13	60	47.5	3.8	5.6	618	50	5	12.4	68.5%	22.7%	0.53
52	Michael Crabtree	BAL	16	53	37.9	3.4	6.2	607	54	3	11.2	54.0%	17.9%	0.42
53	Christian Kirk	ARI	12	59	49.2	3.6	5.7	590	43	3	13.7	63.2%	21.6%	0.49
54	Antonio Callaway	CLE	16	52	36.6	2.7	4.9	586	43	5	13.6	54.4%	14.0%	0.35
55	Marquez Valdes-Scantling	GB	16	50	36.3	2.4	4.6	581	38	2	15.3	52.1%	11.9%	0.28
56	Danny Amendola	MIA	15	54	38.3	3.9	5.3	575	59	1	9.7	74.7%	18.6%	0.40
57	Rashard Higgins	CLE	13	56	44.0	3.0	4.1	572	39	4	14.7	73.6%	11.8%	0.27
58	Cooper Kupp	LAR	8	69	70.8	5.0	6.9	566	40	6	14.2	72.7%	20.5%	0.45
59	Kenny Stills	MIA	15	56	36.9	2.5	4.3	553	37	6	14.9	57.8%	16.9%	0.47
60	Devin Funchess	CAR	14	54	39.2	3.1	5.6	549	44	4	12.5	55.7%	17.0%	0.45

What this is. Finished box-score production from 2018, 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.