PLAYERS
Wide Receiver
Updated
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Impact Plays | Cont. Catch % | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
93 | 27 | 405 | 37.89% | 6 | 121 | 9.67 | 75% | 41.48 | 0.39 | 4.35 | |||
132 | 27 | 375 | 29.03% | 1 | 81 | 13.11 | 75% | 34.95 | 0.27 | 2.84 | |||
105 | 18 | 358 | 27.36% | 2 | 106 | 17.17 | 62.07% | 26.60 | 0.28 | 3.41 | |||
97 | 20 | 309 | 24.75% | 3 | 86 | 12.44 | 80% | 30.38 | 0.26 | 3.19 | |||
113 | 17 | 284 | 24.17% | 4 | 104 | 10.48 | 58.62% | 25.82 | 0.26 | 2.51 | |||
72 | 15 | 274 | 26.03% | 0 | 152 | 7.47 | 78.95% | 15.17 | 0.26 | 3.81 | |||
113 | 15 | 253 | 25% | 1 | 97 | 13.87 | 50% | 22.64 | 0.27 | 2.24 | |||
98 | 14 | 244 | 22.55% | 1 | 66 | 13.13 | 60.87% | 26.55 | 0.23 | 2.49 | |||
107 | 21 | 243 | 28.42% | 2 | 39 | 10.52 | 77.78% | 20.91 | 0.25 | 2.27 | |||
105 | 19 | 235 | 33.33% | 1 | 39 | 11.96 | 70.37% | 18.84 | 0.26 | 2.24 | |||
25 | 10 | 234 | 27.27% | 1 | 117 | 12.17 | 83.33% | 22.30 | 0.48 | 9.36 | |||
111 | 23 | 228 | 32.41% | 5 | 73 | 7.86 | 65.71% | 18.78 | 0.32 | 2.05 | |||
91 | 18 | 222 | 20.37% | 2 | 65 | 11.45 | 81.82% | 17.90 | 0.24 | 2.44 | |||
76 | 15 | 221 | 30.26% | 2 | 13 | 14.30 | 65.22% | 21.64 | 0.30 | 2.91 | |||
80 | 19 | 214 | 23.33% | 1 | 95 | 6.19 | 90.48% | 19.98 | 0.26 | 2.68 | |||
97 | 9 | 195 | 18.29% | 2 | 69 | 15 | 60% | 16.10 | 0.15 | 2.01 | |||
123 | 12 | 193 | 21.30% | 0 | 39 | 12.83 | 52.17% | 10.05 | 0.19 | 1.57 | |||
92 | 13 | 190 | 18.68% | 1 | 119 | 7.41 | 76.47% | 10.02 | 0.18 | 2.07 | |||
79 | 11 | 189 | 17.05% | 1 | 11 | 15.20 | 73.33% | 13.35 | 0.19 | 2.39 | |||
95 | 14 | 186 | 25.53% | 0 | 69 | 11.71 | 58.33% | 21.27 | 0.25 | 1.96 | |||
111 | 18 | 185 | 24.51% | 3 | 45 | 8.56 | 72% | 16.43 | 0.23 | 1.67 | |||
72 | 12 | 183 | 17.44% | 1 | 23 | 13.87 | 80% | 20.69 | 0.21 | 2.54 | |||
87 | 9 | 179 | 18.52% | 1 | 36 | 13.53 | 60% | 19.68 | 0.17 | 2.06 | |||
56 | 13 | 179 | 25.37% | 2 | 52 | 11.12 | 76.47% | 17.74 | 0.30 | 3.20 | |||
137 | 15 | 172 | 17.74% | 1 | 43 | 10.27 | 68.18% | 16.06 | 0.16 | 1.26 |
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WR 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. Ja’Marr Chase led wide receivers with 634 Routes Run in 2025 as he was the center of the Bengals passing offense. |
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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. Puka Nacua led receivers with 129 receptions in 2025 as he was used all over the field to break down defenses. |
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Rec. Yards | Receiving Yards are every yard gained by a player on the passes they catch. This is a volume stat and shows a receiver was productive and helped the offense gain yards. Jaxon Smith-Njigba led receivers with 1,793 receiving yards in 2025 as he was able to blow past defensive backs on deep routes while creating separation on intermediate routes. |
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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. Jaxon Smith-Njigba led receivers with a 35.82% target share in 2025, and he was the driving engine of the Super Bowl champion Seattle Seahawks’ passing attack. |
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Touchdowns | Total Receiving Touchdowns is the amount 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. Davante Adams led receivers with 14 touchdowns in 2025 as he was a high volume target in the red zone. |
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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. Puka Nacua is one of the league’s best at breaking tackles and stealing yards and led receivers with 666 Yards After Catch in 2025. |
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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. Christian Watson had a very high 17.76 Average Depth of Target as a field stretcher for the Packers in 2025. |
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Catch % | Catch Rate represents the percentage of targets that end up in a reception for a specific player. A higher number here could indicate sure hands, safer targets, or a combination of both. Puka Nacua had a high-end 77.71% Catch Rate in 2025 as he made catches in traffic with defenders draped over him. |
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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 wide receivers 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. Puka Nacua led wide receivers with 162.2 Total EPA in 2025, which showed his ability to consistently be a positive for his offense. |
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Targets/Route Run | Targets per Route Run is the amount 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. Puka Nacua led wide receivers with an astounding 0.36 Targets per Route Run in 2025 as he was thrown the ball more than once every three times he ran a route. |
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YPRR | Yards Per Route Run is the number 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, Puka Nacua and Jaxon Smith-Njigba were the only receivers to go over 3 Yards Per Route Run as they vacuumed up targets and gained yards through the air. |
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How to Use WR Stats
The Wide Receiver 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 by 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 the same if given a larger workload.