PLAYERS
Tight End
Updated
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Impact Plays | Cont. Catch % | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
70 | 14 | 263 | 20.73% | 1 | 95 | 12.82 | 82.35% | 13.68 | 0.24 | 3.76 | |||
91 | 14 | 231 | 19.78% | 2 | 155 | 6.56 | 77.78% | 20.11 | 0.20 | 2.54 | |||
111 | 26 | 211 | 29.82% | 2 | 69 | 5.35 | 76.47% | 19.79 | 0.31 | 1.90 | |||
103 | 19 | 205 | 22.32% | 0 | 93 | 6.28 | 76% | 7.74 | 0.24 | 1.99 | |||
57 | 12 | 174 | 19.75% | 3 | 77 | 8.88 | 75% | 16.65 | 0.28 | 3.05 | |||
106 | 15 | 173 | 15.32% | 3 | 97 | 5.42 | 78.95% | 13.78 | 0.18 | 1.63 | |||
121 | 17 | 153 | 20% | 3 | 88 | 6.09 | 73.91% | 18.23 | 0.19 | 1.26 | |||
105 | 14 | 144 | 17.59% | 1 | 74 | 3.63 | 73.68% | 13.84 | 0.18 | 1.37 | |||
59 | 12 | 143 | 14.74% | 1 | 83 | 6.14 | 85.71% | 8.68 | 0.24 | 2.42 | |||
120 | 14 | 125 | 13.19% | 2 | 63 | 8.16 | 73.68% | 10.74 | 0.16 | 1.04 | |||
75 | 15 | 124 | 28.05% | 2 | 23 | 5.78 | 65.22% | 16.20 | 0.31 | 1.65 | |||
64 | 13 | 122 | 24.66% | 0 | 32 | 7.33 | 72.22% | 9.59 | 0.28 | 1.91 | |||
95 | 11 | 120 | 17.89% | 0 | 84 | 8.12 | 64.71% | 6.28 | 0.18 | 1.26 | |||
76 | 9 | 119 | 9.03% | 1 | 84 | 5.08 | 69.23% | 7.99 | 0.17 | 1.57 | |||
36 | 10 | 116 | 43.33% | 1 | 28 | 8.15 | 76.92% | 11.69 | 0.36 | 3.22 | |||
60 | 8 | 115 | 9.80% | 2 | 26 | 9.50 | 80% | 13 | 0.17 | 1.92 | |||
69 | 10 | 112 | 12.04% | 2 | 44 | 6.92 | 76.92% | 6.61 | 0.19 | 1.62 | |||
91 | 9 | 106 | 14.17% | 0 | 50 | 7.53 | 52.94% | 3.97 | 0.19 | 1.16 | |||
77 | 9 | 90 | 14.12% | 0 | 54 | 5.67 | 75% | 4.46 | 0.16 | 1.17 | |||
77 | 8 | 90 | 12.63% | 0 | 83 | 1.42 | 66.67% | 8.58 | 0.16 | 1.17 | |||
96 | 18 | 89 | 23.40% | 2 | 80 | 1.73 | 81.82% | 3.54 | 0.23 | 0.93 | |||
78 | 12 | 87 | 15.91% | 1 | 56 | 4.14 | 85.71% | 5.22 | 0.18 | 1.12 | |||
37 | 5 | 81 | 12.50% | 2 | 32 | 8 | 71.43% | 9.17 | 0.19 | 2.19 | |||
61 | 9 | 76 | 19.40% | 1 | 32 | 7.15 | 69.23% | 6.84 | 0.21 | 1.25 | |||
56 | 10 | 74 | 12.26% | 1 | 23 | 6.69 | 76.92% | -1.24 | 0.23 | 1.32 |
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TE Stats Explained: What They Mean
Stat | Definition | Percentile Benchmarks (2022–2025) |
|---|---|---|
Player Name | This is the name of the player. | N/A |
Season | This is the applicable football calendar year for the currently selected data. | N/A |
Team | This is the current team for the player being looked at. | N/A |
Plays | This is the total number of plays a player played in the given situation based on the filters provided. | N/A |
Routes Run | A pass catcher’s Total Routes Run is every time the player runs a route on a passing play. A higher number indicates the player is used on more passing plays in their team’s offense. This does not always connect to receptions but gives a player more opportunities to be targeted. Trey McBride led all tight ends with 697 routes run in 2025 and was a key to the Cardinals passing game. |
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Receptions | Receptions represent every time a player catches the ball on a pass play. This is a volume stat where more receptions mean the player caught the ball more and was likely a big part of their team’s offense. Trey McBride led tight ends with 126 receptions in 2025 and was a sure target for the Cardinals. |
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Rec. Yards | Receiving Yards are every yard gained by a player through the passes they catch. This is a volume stat and shows a receiver was productive and helped the offense gain yards. Trey McBride led all Tight Ends with 1,239 receiving yards in 2025 and was able to catch passes at every level of the field. |
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Target Share | Target Share represents that amount of times a player was targeted divided by the total number of team targets their team had when the player was active for the game. A higher Target Share means the player was targeted at a high rate when they were active for the game and is indicative of a focused threat for an offense. Brock Bowers was 2nd in Target Share with 23.63% as he was the best pass catcher on the Las Vegas Raiders. |
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Touchdowns | Total Receiving Touchdowns is the number of times a player caught a pass and ended up in the end zone. A higher number means the player was the pass catcher on more plays that ended up in points for the offense. Dallas Goedert was tied for 1st with 11 touchdowns in 2025 and was a high-volume red zone target. |
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YAC | A player’s Yards After Catch represents every yard gained after the player caught the ball. A higher Yards After Catch is positive and means a player can create more than just what he gains on the initial catch. Tyler Warren had 474 Yards After Catch in 2025 and was able to catch passes in space and also break tackles. |
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ADOT | A pass catcher’s Average Depth of Target is how deep down the field they are thrown passes on average. A higher Average Depth of Target indicates a pass catcher is targeted on more deep passes and is seen as a vertical threat. Mike Gesicki’s 9.95 Average Depth of Target in 2025 showed off that he was a vertical threat for the Bengals. |
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Catch % | Catch Rate represents the percentage of passes that end up in a reception for a specific player. A higher number here could indicate a combination of sure hands, safer targets, or a combination of both. George Kittle had a high-end 82.61% Catch Rate in 2025 showing off his ability to secure the ball from the air. |
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Total EPA | Expected Points Added (EPA) measures how much every play changes the average amount of points a team is expected to score on a drive given the down, distance, and area of the field. Total EPA for tight ends adds up all of the plays where a player recorded a touch from a year to see how much a player added to their offense. A higher Total EPA is better for the offense. Trey McBride led all tight ends with 104.6 Total EPA in 2025 as one of the best tight ends in the league. |
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Targets/Route Run | Targets Per Route Run is the number of targets a player receives when they are on the field running a route. A higher number means a player receives a greater rate of targets and is likely a more central part of their team’s passing attack. Harold Fannin led tight ends with a high 0.24 Targets Per Route Run in 2025 and was a frequent target for the Browns quarterbacks. |
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YPRR | Yards Per Route Run is the amount of yards that a pass catcher gains divided by the number of routes they run. This is an efficiency stat where a higher number means the player is more productive on a rate basis. In 2025, Dalton Kincaid led the way with 2.77 Yards Per Route Run and was targeted on high value passes down the field. |
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How to Use TE Stats
The Tight End stats page helps you see a detailed profile for each individual player and get a better idea of what the overall landscape at the position looks like.
Where to Look First
Total EPA tells us how much a player contributed to their offense. Yards Per Route Run is the gold standard efficiency metric for pass catchers. Be sure to filter for a reasonable minimum number of Routes Run to avoid being misled high performers in small sample sizes. Target Share is the final initial data point to consider as it can show us how centralizing a force the pass catcher is for their offense
Player Style
Average Depth of Target and Yards After Catch give us a look into a player’s style. A higher Average Depth of Target may indicate a frequent deep threat and a higher Yards After Catch can show a player that is able to operate well in open space.
Important Filters to Consider
No single stat can provide every bit of important context. Filters help us evaluate players in more specific contexts.
Some of the better filters are against Man and against Zone coverage. Filtering against Man shows us where pass catchers are winning in 1 on 1 situations. Filtering for against Zone shows us when pass catchers are comfortably getting into open spaces for catches.
Small Sample Sizes Can Be Misleading
Be aware of small samples with pass catchers. Consider how many plays you are seeing in each specific section and potentially apply the 100 or 250 minimum routes run for specific splits towards the end of the season. Since pass catcher play is dependent on factors such as offensive line play, the quarterback, and even the defense, small sample size darlings may not perform if given a larger workload.