Players 2021 final

1

Mark Andrews

BAL· 17 G

1361 Rec yards

2

Travis Kelce

KC· 16 G

1125 Rec yards

3

Kyle Pitts

ATL· 17 G

1026 Rec yards

4

George Kittle

SF· 14 G

910 Rec yards

5

Dallas Goedert

PHI· 15 G

830 Rec yards

Tight ends — 2021 · 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	Mark Andrews	BAL	17	88	80.1	6.3	9.0	1361	107	9	12.7	69.9%	25.8%	0.61
2	Travis Kelce	KC	16	82	70.3	5.8	8.4	1125	92	9	12.2	68.7%	22.1%	0.48
3	Kyle Pitts	ATL	17	70	60.4	4.0	6.5	1026	68	1	15.1	61.8%	20.3%	0.51
4	George Kittle	SF	14	77	65.0	5.1	6.7	910	71	6	12.8	75.5%	22.4%	0.49
5	Dallas Goedert	PHI	15	69	55.3	3.7	5.1	830	56	4	14.8	73.7%	20.7%	0.45
6	Dalton Schultz	DAL	17	75	47.5	4.6	6.1	808	78	8	10.4	75.0%	17.1%	0.36
7	Rob Gronkowski	TB	12	79	66.8	4.6	7.4	802	55	6	14.6	61.8%	17.0%	0.41
8	Mike Gesicki	MIA	17	66	45.9	4.3	6.6	780	73	2	10.7	65.2%	18.4%	0.43
9	Zach Ertz	PHI	17	67	44.9	4.4	6.6	763	74	5	10.3	66.1%	18.8%	0.42
10	Noah Fant	DEN	16	66	41.9	4.2	5.6	670	68	4	9.9	75.6%	17.8%	0.36
11	Darren Waller	LV	11	72	60.5	5.0	8.5	665	55	2	12.1	59.1%	23.1%	0.52
12	Cole Kmet	CHI	17	60	36.0	3.5	5.5	612	60	0	10.2	64.5%	17.8%	0.38
13	Hunter Henry	NE	16	68	37.7	3.1	4.7	603	50	9	12.1	66.7%	14.7%	0.36
14	Tyler Conklin	MIN	17	64	34.9	3.6	5.1	593	61	3	9.7	70.1%	15.2%	0.30
15	Dawson Knox	BUF	15	71	39.1	3.3	4.7	587	49	9	12.0	69.0%	13.4%	0.28
16	T.J. Hockenson	DET	12	73	48.6	5.1	7.0	583	61	4	9.6	72.6%	20.5%	0.47
17	Jared Cook	LAC	16	62	35.2	3.0	5.2	564	48	4	11.8	57.8%	13.3%	0.30
18	Tyler Higbee	LAR	15	65	37.3	4.1	5.7	560	61	5	9.2	71.8%	15.6%	0.31
19	Pat Freiermuth	PIT	16	64	31.1	3.8	4.9	497	60	7	8.3	75.9%	13.0%	0.27
20	C.J. Uzomah	CIN	16	62	30.8	3.1	3.9	493	49	5	10.1	77.8%	12.1%	0.22
21	Gerald Everett	SEA	15	63	31.9	3.2	4.2	478	48	4	10.0	76.2%	14.7%	0.28
22	David Njoku	CLE	15	61	31.7	2.4	3.5	475	36	4	13.2	67.9%	12.4%	0.27
23	Evan Engram	NYG	15	61	27.2	3.1	4.9	408	46	3	8.9	63.0%	15.2%	0.30
24	Dan Arnold	JAX	11	60	37.1	3.2	4.7	408	35	0	11.7	67.3%	13.5%	0.28
25	Foster Moreau	LV	15	57	24.9	2.0	2.9	373	30	3	12.4	68.2%	8.6%	0.19
26	Durham Smythe	MIA	16	50	22.3	2.1	2.6	357	34	0	10.5	82.9%	7.5%	0.16
27	Austin Hooper	CLE	15	58	23.0	2.5	4.1	345	38	3	9.1	62.3%	13.8%	0.27
28	Albert Okwuegbunam	DEN	14	55	23.6	2.4	2.9	330	33	2	10.0	82.5%	10.0%	0.20
29	Mo Alie-Cox	IND	17	52	18.6	1.4	2.6	316	24	4	13.2	53.3%	9.3%	0.21
30	Jack Doyle	IND	15	54	20.1	1.9	2.9	302	29	3	10.4	67.4%	9.5%	0.20
31	Jonnu Smith	NE	16	47	18.4	1.8	2.8	294	28	1	10.5	62.2%	10.3%	0.22
32	Anthony Firkser	TEN	15	55	19.4	2.3	2.9	291	34	2	8.6	79.1%	9.3%	0.19
33	Ricky Seals-Jones	WAS	11	58	24.6	2.7	4.5	271	30	2	9.0	61.2%	12.7%	0.26
34	Adam Trautman	NO	11	56	23.9	2.5	3.9	263	27	2	9.7	62.8%	12.8%	0.26
35	Ryan Griffin	NYJ	14	54	18.6	1.9	3.0	261	27	2	9.7	64.3%	8.5%	0.17
36	Kyle Rudolph	NYG	15	46	17.1	1.7	2.6	257	26	1	9.9	66.7%	8.8%	0.19
37	John Bates	WAS	12	50	20.8	1.7	2.1	249	20	1	12.4	80.0%	7.4%	0.16
38	Cameron Brate	TB	16	55	15.3	1.9	3.6	245	30	4	8.2	52.6%	8.7%	0.19
39	Josiah Deguara	GB	14	49	17.5	1.8	2.4	245	25	2	9.8	75.8%	6.9%	0.12
40	James O'Shaughnessy	JAX	7	59	34.9	3.4	4.9	244	24	0	10.2	70.6%	13.1%	0.28
41	Harrison Bryant	CLE	15	48	15.5	1.4	1.9	233	21	3	11.1	75.0%	6.9%	0.16
42	Will Dissly	SEA	13	47	17.8	1.6	2.0	231	21	1	11.0	80.8%	7.1%	0.13
43	Hayden Hurst	ATL	12	56	18.4	2.2	2.6	221	26	3	8.5	83.9%	7.7%	0.16
44	Jordan Akins	HOU	12	48	17.8	2.0	2.8	214	24	0	8.9	72.7%	8.6%	0.18
45	Marcedes Lewis	GB	13	44	16.5	1.8	2.2	214	23	0	9.3	82.1%	6.5%	0.12
46	Geoff Swaim	TEN	16	50	13.1	1.9	2.5	210	31	3	6.8	77.5%	9.1%	0.17
47	Robert Tonyan	GB	8	57	25.5	2.2	3.6	204	18	2	11.3	62.1%	11.6%	0.27
48	Logan Thomas	WAS	5	—	39.2	3.6	5.0	196	18	3	10.9	72.0%	16.4%	0.42
49	Maxx Williams	ARI	5	—	38.6	3.2	3.4	193	16	1	12.1	94.1%	10.7%	0.21
50	Donald Parham	LAC	13	51	14.6	1.5	2.1	190	20	3	9.5	74.1%	5.6%	0.11
51	Ian Thomas	CAR	14	39	13.4	1.3	2.1	188	18	0	10.4	60.0%	6.6%	0.13
52	N'Keal Harry	NE	10	44	18.4	1.2	2.2	184	12	0	15.3	54.5%	6.6%	0.17
53	Tommy Tremble	CAR	15	41	12.0	1.3	2.3	180	20	1	9.0	57.1%	7.0%	0.16
54	Brevin Jordan	HOU	8	59	22.2	2.5	3.5	178	20	3	8.9	71.4%	11.1%	0.24
55	Tyler Kroft	NYJ	9	52	19.2	1.8	2.8	173	16	1	10.8	64.0%	9.7%	0.20
56	Pharaoh Brown	HOU	13	42	13.2	1.8	2.6	171	23	0	7.4	67.6%	9.4%	0.17
57	Jimmy Graham	CHI	11	49	15.2	1.3	2.1	167	14	3	11.9	60.9%	6.2%	0.13
58	Zach Gentry	PIT	10	45	16.7	1.9	2.5	167	19	0	8.8	76.0%	6.9%	0.12
59	Stephen Anderson	LAC	14	40	11.8	1.1	1.4	165	16	1	10.3	84.2%	3.6%	0.06
60	Juwan Johnson	NO	13	48	12.2	1.0	1.7	159	13	4	12.2	59.1%	6.8%	0.17

What this is. Finished box-score production from 2021, 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.