Players 2016 final

1

Travis Kelce

KC· 16 G

1125 Rec yards

2

Greg Olsen

CAR· 16 G

1073 Rec yards

3

Jimmy Graham

SEA· 16 G

923 Rec yards

4

Kyle Rudolph

MIN· 16 G

840 Rec yards

5

Zach Ertz

PHI· 14 G

816 Rec yards

Tight ends — 2016 · 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	Travis Kelce	KC	16	88	70.3	5.3	7.3	1125	85	4	13.2	72.6%	21.7%	0.47
2	Greg Olsen	CAR	16	76	67.1	5.0	8.1	1073	80	3	13.4	62.0%	23.4%	0.53
3	Jimmy Graham	SEA	16	72	57.7	4.1	5.9	923	65	6	14.2	68.4%	17.9%	0.40
4	Kyle Rudolph	MIN	16	78	52.5	5.2	8.2	840	83	7	10.1	62.9%	22.7%	0.50
5	Zach Ertz	PHI	14	73	58.3	5.6	7.6	816	78	4	10.5	73.6%	18.4%	0.42
6	Jordan Matthews	PHI	14	70	57.4	5.2	8.4	804	73	3	11.0	62.4%	23.2%	0.56
7	Delanie Walker	TEN	15	74	53.3	4.3	6.8	800	65	7	12.3	63.7%	23.1%	0.50
8	Dennis Pitta	BAL	16	65	45.6	5.4	7.6	729	86	2	8.5	71.1%	17.6%	0.37
9	Eric Ebron	DET	13	64	54.7	4.7	6.5	711	61	1	11.7	71.8%	16.9%	0.38
10	Martellus Bennett	NE	16	66	43.8	3.4	4.6	701	55	7	12.7	75.3%	13.6%	0.27
11	Jordan Reed	WAS	12	82	57.2	5.5	7.4	686	66	6	10.4	74.2%	19.1%	0.41
12	Jason Witten	DAL	15	63	44.9	4.6	6.3	673	69	3	9.8	72.6%	20.2%	0.42
13	Cameron Brate	TB	15	69	44.0	3.8	5.4	660	57	8	11.6	70.4%	15.5%	0.34
14	Coby Fleener	NO	16	58	39.4	3.1	5.1	631	50	3	12.6	61.7%	12.0%	0.29
15	Gary Barnidge	CLE	16	59	38.2	3.4	5.1	612	55	2	11.1	67.1%	14.8%	0.31
16	Jack Doyle	IND	16	62	36.5	3.7	4.7	584	59	5	9.9	78.7%	13.3%	0.26
17	Vernon Davis	WAS	15	57	38.9	2.9	3.9	583	44	2	13.2	74.6%	10.2%	0.22
18	C.J. Fiedorowicz	HOU	15	61	37.3	3.6	5.9	559	54	4	10.4	60.7%	17.3%	0.36
19	Charles Clay	BUF	15	61	36.8	3.8	5.8	552	57	4	9.7	65.5%	20.7%	0.44
20	Antonio Gates	LAC	13	68	42.2	4.1	7.2	548	53	7	10.3	57.0%	20.0%	0.43
21	Rob Gronkowski	NE	8	67	67.5	3.1	4.8	540	25	3	21.6	65.8%	14.4%	0.39
22	Lance Kendricks	LAR	16	56	31.2	3.1	5.4	499	50	2	10.0	57.5%	16.4%	0.32
23	Zach Miller	CHI	10	68	48.6	4.7	6.4	486	47	4	10.3	73.4%	18.6%	0.37
24	Hunter Henry	LAC	13	63	36.8	2.8	4.1	478	36	8	13.3	67.9%	11.7%	0.26
25	Ryan Griffin	HOU	16	55	27.6	3.1	4.6	442	50	2	8.8	67.6%	12.5%	0.26
26	Dwayne Allen	IND	14	59	29.0	2.5	3.7	406	35	6	11.6	67.3%	10.4%	0.24
27	Will Tye	NYG	16	54	24.7	3.0	4.4	395	48	1	8.2	68.6%	11.8%	0.24
28	Tyler Eifert	CIN	8	65	49.2	3.6	5.9	394	29	5	13.6	61.7%	16.7%	0.36
29	Vance McDonald	SF	10	60	39.1	2.4	4.5	391	24	4	16.3	53.3%	14.8%	0.33
30	Jermaine Gresham	ARI	16	52	24.4	2.3	3.8	391	37	2	10.6	60.7%	9.7%	0.20
31	Jared Cook	GB	10	57	37.7	3.0	5.1	377	30	1	12.6	58.8%	14.7%	0.34
32	Clive Walford	LV	15	53	23.9	2.2	3.5	359	33	3	10.9	63.5%	9.5%	0.21
33	Garrett Celek	SF	14	53	25.0	2.1	3.6	350	29	3	12.1	58.0%	11.3%	0.27
34	Jesse James	PIT	16	53	21.1	2.4	3.8	338	39	3	8.7	65.0%	10.0%	0.21
35	Trey Burton	PHI	14	51	23.4	2.6	4.3	327	37	1	8.8	61.7%	10.8%	0.24
36	Ladarius Green	PIT	6	58	50.7	3.0	5.7	304	18	1	16.9	52.9%	16.9%	0.42
37	Erik Swoope	IND	12	47	24.8	1.2	1.8	297	15	1	19.8	68.2%	5.5%	0.13
38	Julius Thomas	JAX	9	60	31.2	3.3	5.7	281	30	4	9.4	58.8%	13.3%	0.28
39	Austin Hooper	ATL	13	50	20.8	1.5	2.1	271	19	3	14.3	70.4%	6.4%	0.14
40	Richard Rodgers	GB	15	48	18.1	2.0	3.1	271	30	2	9.0	63.8%	8.1%	0.17
41	Levine Toilolo	ATL	13	43	20.3	1.0	1.5	264	13	2	20.3	68.4%	4.3%	0.09
42	Dion Sims	MIA	13	54	19.7	2.0	2.7	256	26	4	9.8	74.3%	9.9%	0.20
43	Virgil Green	DEN	10	51	23.7	2.2	3.7	237	22	1	10.8	59.5%	10.8%	0.22
44	C.J. Uzomah	CIN	8	55	29.2	3.1	4.8	234	25	1	9.4	65.8%	13.5%	0.29
45	Jacob Tamme	ATL	8	56	26.2	2.8	3.9	210	22	3	9.5	71.0%	11.1%	0.22
46	Mychal Rivera	LV	10	47	19.2	1.8	2.5	192	18	1	10.7	72.0%	6.8%	0.16
47	MarQueis Gray	MIA	10	42	17.4	1.4	1.7	174	14	0	12.4	82.4%	6.7%	0.14
48	Marcedes Lewis	JAX	10	46	16.9	2.0	3.0	169	20	1	8.4	66.7%	7.0%	0.13
49	Ben Koyack	JAX	10	45	16.1	1.9	2.4	161	19	1	8.5	79.2%	6.1%	0.13
50	A.J. Derby	NE	7	50	22.9	2.3	2.9	160	16	0	10.0	80.0%	7.5%	0.15
51	Brent Celek	PHI	10	41	15.5	1.4	1.9	155	14	0	11.1	73.7%	5.7%	0.12
52	Darren Fells	ARI	9	45	17.1	1.6	2.0	154	14	1	11.0	77.8%	5.3%	0.10
53	Austin Seferian-Jenkins	TB	9	44	17.1	1.4	2.2	154	13	1	11.8	65.0%	6.3%	0.14
54	Josh Hill	NO	8	49	18.6	1.9	2.8	149	15	1	9.9	68.2%	6.9%	0.14
55	Jeff Heuerman	DEN	6	46	23.5	1.5	2.8	141	9	0	15.7	52.9%	8.2%	0.18
56	Ed Dickson	CAR	13	32	10.3	0.8	1.5	134	10	1	13.4	52.6%	3.9%	0.08
57	Luke Willson	SEA	10	44	12.9	1.5	2.1	129	15	2	8.6	71.4%	6.4%	0.13
58	Seth DeValve	CLE	8	48	15.9	1.2	1.5	127	10	2	12.7	83.3%	4.2%	0.10
59	Daniel Brown	CHI	6	52	20.7	2.7	3.3	124	16	1	7.8	80.0%	10.3%	0.20
60	Demetrius Harris	KC	14	39	8.8	1.2	2.2	123	17	1	7.2	54.8%	6.6%	0.15

What this is. Finished box-score production from 2016, 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.