Players 2020 final

1

Travis Kelce

KC· 15 G

1416 Rec yards

2

Darren Waller

LV· 16 G

1196 Rec yards

3

T.J. Hockenson

DET· 16 G

723 Rec yards

4

Mike Gesicki

MIA· 15 G

703 Rec yards

5

Mark Andrews

BAL· 14 G

701 Rec yards

Tight ends — 2020 · 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	15	88	94.4	7.0	9.7	1416	105	11	13.5	72.4%	24.6%	0.54
2	Darren Waller	LV	16	82	74.8	6.7	9.1	1196	107	9	11.2	73.8%	27.8%	0.59
3	T.J. Hockenson	DET	16	72	45.2	4.2	6.3	723	67	6	10.8	66.3%	17.8%	0.37
4	Mike Gesicki	MIA	15	71	46.9	3.5	5.7	703	53	6	13.3	62.4%	16.2%	0.41
5	Mark Andrews	BAL	14	76	50.1	4.1	6.3	701	58	7	12.1	65.9%	24.9%	0.56
6	Noah Fant	DEN	14	69	48.1	4.4	6.6	673	62	3	10.9	66.7%	20.1%	0.42
7	Logan Thomas	WAS	16	75	41.9	4.5	6.9	670	72	6	9.3	65.5%	19.3%	0.43
8	Evan Engram	NYG	16	63	40.9	3.9	6.8	654	63	1	10.4	57.8%	21.6%	0.46
9	George Kittle	SF	8	79	79.2	6.0	7.9	634	48	2	13.2	76.2%	24.2%	0.55
10	Rob Gronkowski	TB	16	65	38.9	2.8	4.8	623	45	7	13.8	58.4%	12.9%	0.30
11	Dalton Schultz	DAL	16	65	38.4	3.9	5.6	615	63	4	9.8	70.8%	14.6%	0.30
12	Hunter Henry	LAC	14	68	43.8	4.3	6.6	613	60	4	10.2	64.5%	17.9%	0.39
13	Robert Tonyan	GB	15	73	39.1	3.5	3.9	586	52	11	11.3	88.1%	12.6%	0.27
14	Hayden Hurst	ATL	16	64	35.7	3.5	5.5	571	56	6	10.2	63.6%	14.8%	0.30
15	Eric Ebron	PIT	15	67	37.2	3.7	6.1	558	56	5	10.0	61.5%	14.7%	0.33
16	Dallas Goedert	PHI	11	70	47.6	4.2	5.9	524	46	3	11.4	70.8%	16.8%	0.36
17	Tyler Higbee	LAR	15	61	34.7	2.9	4.0	521	44	5	11.8	73.3%	11.5%	0.27
18	Jared Cook	NO	15	62	33.6	2.5	4.0	504	37	7	13.6	61.7%	12.5%	0.35
19	Jimmy Graham	CHI	16	62	28.5	3.1	4.8	456	50	8	9.1	65.8%	12.5%	0.26
20	Jonnu Smith	TEN	14	66	32.0	2.9	4.6	448	41	8	10.9	63.1%	16.2%	0.32
21	Dan Arnold	ARI	15	58	29.2	2.1	3.0	438	31	4	14.1	68.9%	8.6%	0.22
22	Austin Hooper	CLE	13	63	33.5	3.5	5.4	435	46	4	9.5	65.7%	18.5%	0.36
23	Gerald Everett	LAR	15	56	27.8	2.7	4.1	417	41	1	10.2	66.1%	11.3%	0.24
24	Jordan Akins	HOU	13	57	31.0	2.8	3.8	403	37	1	10.9	75.5%	11.8%	0.25
25	Mo Alie-Cox	IND	14	54	28.1	2.2	2.8	394	31	2	12.7	79.5%	8.8%	0.19
26	Anthony Firkser	TEN	15	53	25.8	2.6	3.5	387	39	1	9.9	73.6%	11.9%	0.25
27	Irv Smith	MIN	13	59	28.1	2.3	3.3	365	30	5	12.2	69.8%	11.1%	0.26
28	Tyler Eifert	JAX	15	53	23.3	2.4	4.0	349	36	2	9.7	60.0%	10.9%	0.24
29	Drew Sample	CIN	16	51	21.8	2.5	3.3	349	40	1	8.7	75.5%	9.7%	0.18
30	Richard Rodgers	PHI	8	61	43.1	3.0	3.9	345	24	2	14.4	77.4%	10.5%	0.25
31	Zach Ertz	PHI	11	60	30.5	3.3	6.5	335	36	1	9.3	50.0%	18.6%	0.38
32	Kyle Rudolph	MIN	12	53	27.8	2.3	3.1	334	28	1	11.9	75.7%	10.6%	0.21
33	Darren Fells	HOU	12	57	26.0	1.8	2.3	312	21	4	14.9	75.0%	7.1%	0.14
34	N'Keal Harry	NE	13	55	23.8	2.5	4.4	309	33	2	9.4	57.9%	16.1%	0.38
35	Dawson Knox	BUF	11	57	26.2	2.2	4.0	288	24	3	12.0	54.5%	10.4%	0.21
36	Chris Herndon	NYJ	12	58	23.9	2.6	3.8	287	31	3	9.3	68.9%	12.3%	0.26
37	Cameron Brate	TB	13	52	21.7	2.2	2.6	282	28	2	10.1	82.4%	6.6%	0.14
38	James O'Shaughnessy	JAX	15	42	17.5	1.9	2.5	262	28	0	9.4	73.7%	7.0%	0.14
39	Will Dissly	SEA	15	46	16.7	1.6	1.9	251	24	2	10.5	82.8%	5.5%	0.10
40	Jack Doyle	IND	13	51	19.3	1.8	2.5	251	23	3	10.9	69.7%	7.5%	0.16
41	Trey Burton	IND	12	55	20.8	2.3	3.9	250	28	3	8.9	59.6%	11.2%	0.24
42	Ross Dwelley	SF	12	47	20.4	1.6	2.0	245	19	1	12.9	79.2%	5.4%	0.12
43	Cole Kmet	CHI	15	47	16.2	1.9	2.9	243	28	2	8.7	63.6%	8.5%	0.18
44	Greg Olsen	SEA	11	50	21.7	2.2	3.4	239	24	1	10.0	64.9%	9.7%	0.20
45	Harrison Bryant	CLE	12	54	19.8	2.0	3.2	238	24	3	9.9	63.2%	10.1%	0.21
46	Jordan Reed	SF	10	59	23.1	2.6	4.6	231	26	4	8.9	56.5%	13.5%	0.32
47	David Njoku	CLE	11	50	19.4	1.7	2.6	213	19	2	11.2	65.5%	8.5%	0.18
48	Jacob Hollister	SEA	13	52	16.1	1.9	3.1	209	25	3	8.4	62.5%	9.1%	0.18
49	Durham Smythe	MIA	13	49	16.0	2.0	2.2	208	26	2	8.0	89.7%	7.0%	0.13
50	Ryan Izzo	NE	10	43	19.9	1.3	2.0	199	13	0	15.3	65.0%	7.5%	0.19
51	Tyler Conklin	MIN	9	50	21.6	2.1	2.9	194	19	1	10.2	73.1%	8.1%	0.15
52	Adam Trautman	NO	10	45	17.1	1.5	1.6	171	15	1	11.4	93.8%	5.3%	0.10
53	Pharaoh Brown	HOU	10	47	16.3	1.4	1.6	163	14	2	11.6	87.5%	4.5%	0.10
54	Donald Parham	LAC	11	46	14.5	0.9	1.8	159	10	3	15.9	50.0%	5.0%	0.12
55	Adam Shaheen	MIA	13	42	11.5	0.9	1.7	150	12	3	12.5	54.5%	4.9%	0.09
56	O.J. Howard	TB	4	—	36.5	2.8	4.8	146	11	2	13.3	57.9%	12.7%	0.31
57	Ian Thomas	CAR	13	41	11.2	1.5	2.4	145	20	1	7.2	64.5%	7.2%	0.15
58	Foster Moreau	LV	8	49	17.5	0.9	1.1	140	7	2	20.0	77.8%	3.3%	0.09
59	Jesse James	DET	13	40	9.9	1.1	1.7	129	14	2	9.2	63.6%	5.0%	0.10
60	Albert Okwuegbunam	DEN	4	—	30.2	2.8	3.8	121	11	1	11.0	73.3%	12.1%	0.24

What this is. Finished box-score production from 2020, 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.