Players 2019 final

1

Travis Kelce

KC· 16 G

1229 Rec yards

2

Darren Waller

LV· 16 G

1145 Rec yards

3

George Kittle

SF· 14 G

1053 Rec yards

4

Zach Ertz

PHI· 15 G

916 Rec yards

5

Mark Andrews

BAL· 15 G

852 Rec yards

Tight ends — 2019 · 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	76.8	6.1	8.5	1229	97	5	12.7	71.3%	24.9%	0.56
2	Darren Waller	LV	16	76	71.6	5.6	7.3	1145	90	3	12.7	76.9%	23.8%	0.53
3	George Kittle	SF	14	82	75.2	6.1	7.6	1053	85	5	12.4	79.4%	28.1%	0.61
4	Zach Ertz	PHI	15	79	61.1	5.9	9.0	916	88	6	10.4	65.2%	23.8%	0.55
5	Mark Andrews	BAL	15	75	56.8	4.3	6.5	852	64	10	13.3	65.3%	24.8%	0.58
6	Austin Hooper	ATL	13	73	60.5	5.8	7.5	787	75	6	10.5	77.3%	18.5%	0.38
7	Tyler Higbee	LAR	14	69	52.4	4.9	6.4	734	69	3	10.6	77.5%	16.0%	0.34
8	Jared Cook	NO	14	70	50.4	3.1	4.6	705	43	9	16.4	66.2%	13.5%	0.35
9	Hunter Henry	LAC	12	72	54.3	4.6	6.3	652	55	5	11.9	72.4%	18.5%	0.43
10	Dallas Goedert	PHI	15	67	40.5	3.9	5.8	607	58	5	10.5	66.7%	15.5%	0.32
11	Greg Olsen	CAR	14	63	42.6	3.7	5.9	597	52	2	11.5	63.4%	16.3%	0.36
12	Mike Gesicki	MIA	15	66	38.0	3.4	5.9	570	51	5	11.2	57.3%	15.1%	0.35
13	Noah Fant	DEN	16	59	35.1	2.5	4.1	562	40	3	14.1	60.6%	14.0%	0.30
14	Jason Witten	DAL	16	64	33.1	3.9	5.2	529	63	4	8.4	75.9%	14.7%	0.30
15	Evan Engram	NYG	8	71	58.4	5.5	8.5	467	44	3	10.6	64.7%	22.1%	0.45
16	O.J. Howard	TB	14	54	32.8	2.4	3.8	459	34	1	13.5	64.2%	9.6%	0.21
17	Jack Doyle	IND	16	58	28.0	2.7	4.5	448	43	4	10.4	59.7%	14.3%	0.29
18	Jimmy Graham	GB	16	56	27.9	2.4	3.8	447	38	3	11.8	63.3%	11.0%	0.24
19	Jonnu Smith	TEN	15	58	29.3	2.3	2.9	439	35	3	12.5	79.5%	10.7%	0.20
20	Tyler Eifert	CIN	16	59	27.2	2.7	3.9	436	43	3	10.1	68.3%	10.4%	0.23
21	Jordan Akins	HOU	16	55	26.1	2.2	3.4	418	36	2	11.6	65.5%	10.3%	0.21
22	Gerald Everett	LAR	12	61	34.0	3.1	5.0	408	37	2	11.0	61.7%	13.0%	0.29
23	Dawson Knox	BUF	15	53	25.9	1.9	3.3	388	28	2	13.9	56.0%	11.4%	0.24
24	Eric Ebron	IND	11	61	34.1	2.8	4.7	375	31	3	12.1	59.6%	15.6%	0.36
25	T.J. Hockenson	DET	12	57	30.6	2.7	4.9	367	32	2	11.5	54.2%	13.6%	0.27
26	Kyle Rudolph	MIN	15	62	24.5	2.6	3.2	367	39	6	9.4	81.2%	11.1%	0.22
27	Blake Jarwin	DAL	15	53	24.3	2.1	2.7	365	31	3	11.8	75.6%	7.8%	0.16
28	Jacob Hollister	SEA	10	65	34.9	4.1	5.9	349	41	3	8.5	69.5%	18.5%	0.36
29	Hayden Hurst	BAL	16	51	21.8	1.9	2.4	349	30	2	11.6	76.9%	9.4%	0.20
30	Darren Fells	HOU	15	62	22.7	2.3	3.2	341	34	7	10.0	70.8%	9.6%	0.19
31	Nick Boyle	BAL	15	52	21.4	2.1	2.9	321	31	2	10.4	72.1%	10.8%	0.22
32	Ryan Griffin	NYJ	13	60	24.6	2.6	3.2	320	34	5	9.4	82.9%	9.7%	0.19
33	Irv Smith	MIN	14	54	22.2	2.6	3.4	311	36	2	8.6	76.6%	11.6%	0.24
34	Cameron Brate	TB	14	57	22.2	2.6	3.9	311	36	4	8.6	65.5%	9.9%	0.19
35	Vance McDonald	PIT	14	56	19.5	2.7	3.9	273	38	3	7.2	69.1%	12.4%	0.23
36	Kaden Smith	NYG	7	65	38.3	4.4	6.0	268	31	3	8.6	73.8%	16.3%	0.31
37	Will Dissly	SEA	6	68	43.7	3.8	4.5	262	23	4	11.4	85.2%	15.2%	0.34
38	C.J. Uzomah	CIN	14	50	17.3	1.9	2.9	242	27	2	9.0	67.5%	8.1%	0.15
39	Jeremy Sprinkle	WAS	16	44	15.1	1.6	2.5	241	26	1	9.3	65.0%	9.1%	0.19
40	Charles Clay	ARI	15	43	15.8	1.2	1.6	237	18	1	13.2	75.0%	5.4%	0.11
41	Taysom Hill	NO	16	52	14.6	1.2	1.4	234	19	6	12.3	86.4%	3.9%	0.08
42	Ricky Seals-Jones	CLE	9	57	25.4	1.6	2.4	229	14	4	16.4	63.6%	7.2%	0.18
43	Josh Hill	NO	14	51	16.1	1.8	2.5	226	25	3	9.0	71.4%	7.4%	0.15
44	Delanie Walker	TEN	6	63	35.8	3.5	5.2	215	21	2	10.2	67.7%	18.2%	0.41
45	Anthony Firkser	TEN	10	47	20.4	1.4	2.4	204	14	1	14.6	58.3%	9.3%	0.19
46	Maxx Williams	ARI	13	42	15.5	1.2	1.5	202	15	1	13.5	78.9%	4.7%	0.11
47	Foster Moreau	LV	11	55	15.8	1.9	2.3	174	21	5	8.3	84.0%	7.8%	0.16
48	Benjamin Watson	NE	9	47	19.2	1.9	2.7	173	17	0	10.2	70.8%	7.0%	0.16
49	Logan Thomas	DET	15	37	11.5	1.1	1.9	173	16	1	10.8	57.1%	5.7%	0.12
50	Rhett Ellison	NYG	10	48	16.7	1.8	2.8	167	18	1	9.3	64.3%	8.0%	0.16
51	Nick Vannett	SEA	14	36	11.9	1.2	1.6	166	17	0	9.8	77.3%	5.1%	0.11
52	Marcedes Lewis	GB	12	40	13.0	1.2	1.6	156	15	1	10.4	78.9%	4.9%	0.09
53	James O'Shaughnessy	JAX	5	—	30.6	2.8	4.0	153	14	2	10.9	70.0%	12.0%	0.23
54	Demetrius Harris	CLE	14	46	10.6	1.1	1.9	149	15	3	9.9	55.6%	5.9%	0.12
55	Jaeden Graham	ATL	10	41	14.9	0.9	1.0	149	9	1	16.6	90.0%	2.4%	0.05
56	Jesse James	DET	13	33	10.9	1.2	2.1	142	16	0	8.9	59.3%	5.9%	0.11
57	Seth DeValve	JAX	7	47	20.0	1.7	2.6	140	12	0	11.7	66.7%	7.8%	0.16
58	Ian Thomas	CAR	10	45	13.6	1.6	3.0	136	16	1	8.5	53.3%	7.3%	0.15
59	Matt LaCosse	NE	8	50	16.4	1.6	2.4	131	13	1	10.1	68.4%	6.8%	0.15
60	Dan Arnold	NO	5	—	25.4	1.6	2.8	127	8	2	15.9	57.1%	8.1%	0.21

What this is. Finished box-score production from 2019, 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.