Players 2017 final

1

Rob Gronkowski

NE· 13 G

1084 Rec yards

2

Travis Kelce

KC· 15 G

1038 Rec yards

3

Zach Ertz

PHI· 14 G

824 Rec yards

4

Delanie Walker

TEN· 16 G

807 Rec yards

5

Evan Engram

NYG· 15 G

722 Rec yards

Tight ends — 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	Rob Gronkowski	NE	13	88	83.4	5.3	8.1	1084	69	8	15.7	65.7%	23.3%	0.56
2	Travis Kelce	KC	15	82	69.2	5.5	8.1	1038	83	8	12.5	68.0%	24.5%	0.56
3	Zach Ertz	PHI	14	79	58.9	5.3	7.9	824	74	8	11.1	67.3%	23.3%	0.49
4	Delanie Walker	TEN	16	73	50.4	4.6	6.9	807	74	3	10.9	66.7%	23.2%	0.51
5	Evan Engram	NYG	15	75	48.1	4.3	7.7	722	64	6	11.3	55.7%	20.9%	0.49
6	Jack Doyle	IND	15	76	46.0	5.3	7.2	690	80	4	8.6	74.1%	24.0%	0.47
7	Jared Cook	LV	16	65	43.0	3.4	5.4	688	54	2	12.7	62.8%	16.3%	0.36
8	Vernon Davis	WAS	16	64	40.5	2.7	4.3	648	43	3	15.1	62.3%	13.2%	0.32
9	Cameron Brate	TB	16	67	36.9	3.0	4.8	591	48	6	12.3	62.3%	12.9%	0.27
10	Hunter Henry	LAC	12	71	48.2	3.8	5.2	579	45	4	12.9	72.6%	14.4%	0.33
11	Eric Ebron	DET	16	66	35.9	3.3	5.4	574	53	4	10.8	61.6%	15.7%	0.34
12	Jason Witten	DAL	16	69	35.0	3.9	5.4	560	63	5	8.9	72.4%	17.9%	0.38
13	Charles Clay	BUF	13	68	42.9	3.8	5.7	558	49	2	11.4	66.2%	21.5%	0.43
14	Kyle Rudolph	MIN	16	70	33.2	3.6	5.1	532	57	8	9.3	70.4%	15.3%	0.34
15	Austin Hooper	ATL	16	61	32.9	3.1	4.1	526	49	3	10.7	75.4%	12.6%	0.25
16	Benjamin Watson	BAL	16	66	32.6	3.8	4.9	522	61	4	8.6	77.2%	13.5%	0.28
17	Jimmy Graham	SEA	16	72	32.5	3.6	6.0	520	57	10	9.1	59.4%	17.9%	0.36
18	George Kittle	SF	15	61	34.3	2.9	4.2	515	43	2	12.0	68.3%	10.8%	0.23
19	Ed Dickson	CAR	14	54	31.2	2.1	3.4	437	30	1	14.6	62.5%	10.5%	0.24
20	O.J. Howard	TB	13	62	33.2	2.0	3.0	432	26	6	16.6	66.7%	8.0%	0.19
21	Tyler Kroft	CIN	16	63	25.2	2.6	3.9	404	42	7	9.6	67.7%	12.8%	0.28
22	Seth DeValve	CLE	16	52	24.7	2.1	3.6	395	33	1	12.0	56.9%	10.2%	0.22
23	Julius Thomas	MIA	14	60	27.7	2.9	4.4	388	41	3	9.5	66.1%	12.5%	0.28
24	David Njoku	CLE	16	58	24.1	2.0	3.8	386	32	4	12.1	53.3%	10.6%	0.25
25	Jesse James	PIT	14	60	26.6	3.1	4.5	372	43	3	8.7	68.3%	11.3%	0.23
26	Austin Seferian-Jenkins	NYJ	13	62	27.5	3.8	5.7	357	50	3	7.1	67.6%	18.5%	0.37
27	Stephen Anderson	HOU	14	51	24.4	1.8	3.7	342	25	1	13.7	48.1%	10.5%	0.22
28	Garrett Celek	SF	14	54	24.0	1.5	2.4	336	21	4	16.0	63.6%	6.8%	0.15
29	Jermaine Gresham	ARI	14	55	23.0	2.4	3.3	322	33	2	9.8	71.7%	8.7%	0.17
30	Nick O'Leary	BUF	13	52	24.8	1.7	2.5	322	22	2	14.6	68.8%	8.0%	0.20
31	Marcedes Lewis	JAX	16	54	19.9	1.5	3.0	318	24	5	13.2	50.0%	9.6%	0.21
32	Antonio Gates	LAC	16	51	19.8	1.9	3.2	316	30	3	10.5	57.7%	8.8%	0.19
33	Tyler Higbee	LAR	14	51	21.1	1.8	3.2	295	25	1	11.8	55.6%	9.7%	0.23
34	Coby Fleener	NO	11	56	26.8	2.0	2.7	295	22	2	13.4	73.3%	7.7%	0.18
35	Martellus Bennett	NE	9	59	31.8	3.3	4.9	286	30	0	9.5	68.2%	13.5%	0.28
36	Jordan Matthews	BUF	10	57	28.2	2.5	3.6	282	25	1	11.3	69.4%	12.3%	0.27
37	Trey Burton	PHI	14	56	17.7	1.6	2.2	248	23	5	10.8	74.2%	6.1%	0.13
38	A.J. Derby	MIA	11	53	22.2	1.9	3.6	244	21	2	11.6	52.5%	10.5%	0.24
39	Gerald Everett	LAR	14	49	17.4	1.1	2.3	244	16	2	15.2	50.0%	7.6%	0.18
40	Zach Miller	CHI	8	59	29.5	2.5	4.4	236	20	2	11.8	57.1%	18.8%	0.44
41	Rhett Ellison	NYG	14	50	16.8	1.7	2.3	235	24	2	9.8	75.0%	6.2%	0.12
42	Demetrius Harris	KC	13	48	17.2	1.4	2.7	224	18	1	12.4	51.4%	7.7%	0.17
43	Jordan Reed	WAS	6	64	35.2	4.5	5.8	211	27	2	7.8	77.1%	17.4%	0.37
44	Nick Boyle	BAL	15	45	13.5	1.9	2.5	203	28	0	7.2	75.7%	7.5%	0.13
45	Lance Kendricks	GB	14	44	14.5	1.3	2.5	203	18	1	11.3	51.4%	6.7%	0.14
46	Ricky Seals-Jones	ARI	8	58	25.1	1.5	3.5	201	12	3	16.8	42.9%	10.2%	0.24
47	Greg Olsen	CAR	7	55	27.3	2.4	5.4	191	17	1	11.2	44.7%	18.9%	0.44
48	Virgil Green	DEN	11	48	17.4	1.3	2.0	191	14	1	13.6	63.6%	5.7%	0.13
49	Vance McDonald	PIT	10	50	18.8	1.4	2.4	188	14	1	13.4	58.3%	7.0%	0.16
50	Dion Sims	CHI	12	46	15.0	1.2	2.4	180	15	1	12.0	51.7%	9.4%	0.22
51	Darren Fells	DET	14	49	12.6	1.2	1.9	177	17	3	10.4	65.4%	5.3%	0.10
52	Richard Rodgers	GB	10	47	16.0	1.2	1.9	160	12	1	13.3	63.2%	5.7%	0.12
53	Ryan Griffin	HOU	6	53	26.3	2.2	4.3	158	13	1	12.2	50.0%	14.0%	0.30
54	Jonnu Smith	TEN	14	47	11.2	1.3	2.1	157	18	2	8.7	60.0%	7.0%	0.14
55	Luke Willson	SEA	14	49	10.9	1.1	1.6	153	15	4	10.2	68.2%	4.7%	0.09
56	James O'Shaughnessy	JAX	16	29	9.3	0.9	1.5	149	14	1	10.6	58.3%	4.7%	0.09
57	Jeff Heuerman	DEN	10	46	14.2	0.9	1.8	142	9	2	15.8	50.0%	5.5%	0.12
58	Troy Niklas	ARI	11	41	12.0	1.0	2.1	132	11	1	12.0	47.8%	6.1%	0.12
59	Brent Celek	PHI	12	40	10.8	1.1	2.0	130	13	1	10.0	54.2%	6.2%	0.12
60	Daniel Brown	CHI	10	39	12.9	1.3	2.0	129	13	0	9.9	65.0%	6.4%	0.14

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.