PLAYERS
Running Back
Updated
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Impact Plays | Gap Att | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
47 | 0.24 | 11.37 | 290 | 1 | 6.17 | 215 | 53.19% | 9 | 79 | 1 | 72 | 23.53% | |||
40 | 0.24 | 9.59 | 212 | 4 | 5.30 | 142 | 62.50% | 4 | 38 | 0 | 52 | 7.55% | |||
45 | -0.04 | -1.70 | 208 | 2 | 4.62 | 132 | 48.89% | 11 | 91 | 1 | 62 | 16.88% | |||
34 | 0.11 | 3.84 | 192 | 1 | 5.65 | 78 | 44.12% | 4 | 16 | 0 | 16 | 12.50% | |||
43 | 0.12 | 5.18 | 190 | 4 | 4.42 | 117 | 44.19% | 7 | 63 | 0 | 67 | 13.56% | |||
34 | -0.05 | -1.67 | 169 | 3 | 4.97 | 129 | 38.24% | 6 | 64 | 0 | 75 | 10.71% | |||
37 | -0.12 | -4.26 | 155 | 0 | 4.19 | 126 | 43.24% | 11 | 99 | 1 | 118 | 28% | |||
44 | -0.29 | -12.62 | 150 | 0 | 3.41 | 116 | 34.09% | 10 | 60 | 2 | 52 | 22.41% | |||
20 | 0.19 | 3.78 | 147 | 1 | 7.35 | 113 | 40% | 4 | 35 | 0 | 25 | 7.14% | |||
35 | -0.11 | -3.98 | 145 | 1 | 4.14 | 87 | 40% | 0 | 0 | 0 | 0 | 2.38% | |||
35 | -0.43 | -14.94 | 137 | 2 | 3.91 | 117 | 40% | 2 | 21 | 0 | 29 | 3.77% | |||
36 | -0.14 | -5.15 | 136 | 1 | 3.78 | 99 | 36.11% | 8 | 24 | 0 | 43 | 16.92% | |||
25 | 0.11 | 2.66 | 134 | 1 | 5.36 | 77 | 48% | 11 | 49 | 0 | 96 | 18.33% | |||
38 | -0.13 | -5 | 131 | 1 | 3.45 | 89 | 39.47% | 7 | 79 | 0 | 77 | 11.86% | |||
28 | -0.03 | -0.87 | 131 | 1 | 4.68 | 101 | 50% | 3 | 19 | 0 | 32 | 6.12% | |||
31 | -0.21 | -6.65 | 110 | 0 | 3.55 | 77 | 32.26% | 7 | 49 | 0 | 34 | 22% | |||
28 | 0.01 | 0.39 | 106 | 1 | 3.79 | 67 | 42.86% | 2 | -2 | 0 | 6 | 3.17% | |||
23 | -0.35 | -7.95 | 104 | 0 | 4.52 | 79 | 34.78% | 3 | 14 | 0 | 23 | 8% | |||
22 | 0.06 | 1.42 | 102 | 1 | 4.64 | 73 | 59.09% | 5 | 49 | 2 | 53 | 7.58% | |||
21 | -0.02 | -0.48 | 99 | 0 | 4.71 | 72 | 47.62% | 2 | 0 | 0 | 9 | 6.67% | |||
23 | -0.25 | -5.80 | 95 | 0 | 4.13 | 64 | 43.48% | 0 | 0 | 0 | 0 | 2% | |||
24 | -0.25 | -6.02 | 94 | 0 | 3.92 | 77 | 37.50% | 6 | 47 | 0 | 50 | 15.38% | |||
19 | -0.16 | -3.02 | 92 | 0 | 4.84 | 97 | 31.58% | 2 | 8 | 0 | 9 | 7.14% | |||
20 | 0.10 | 1.96 | 91 | 2 | 4.55 | 57 | 50% | 9 | 63 | 0 | 62 | 21.82% | |||
21 | -0.09 | -1.80 | 90 | 0 | 4.29 | 52 | 33.33% | 1 | 5 | 0 | 10 | 1.82% |
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RB 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 |
Rushes | Total Rushes is the amount of times a player carries the ball on a run play. A higher number indicates a high volume workhorse type running back. Jonathan Taylor led the league with 323 rushes in 2025 as the Colts leaned on him during all parts of the game. From 2022-2025, the 90th percentile Total Rushes for running backs was 272, the 75th percentile was 236, the 50th percentile was 193, and the 25th percentile was 143. |
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EPA Per Rush | 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. EPA Per Rush is a rushing efficiency metric that adds context to just rushing yards. A positive EPA Per Rush is better for the offense. D’Andre Swift had a high-end 0.04 EPA Per Rush in 2025 behind a strong showing from the Bears offensive line and Ben Johnson’s creative run schemes. From 2022-2025, the 90th percentile EPA Per Rush for running backs was 0.04, the 75th percentile was -0.01, the 50th percentile was -0.07, and the 25th percentile was -0.13. |
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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 running backs adds up all of the EPA generated from the times a player got the ball on a running or passing play over the course of a year to see how much they added to their offense. A positive Total EPA is better for the offense. Christian McCaffrey led all running backs with 43.91 Total EPA in 2025 and was able to win on the ground and through the air for the 49ers. From 2022-2025, the 90th percentile Total EPA for running backs was 18.91, the 75th percentile was 6.86, the 50th percentile was -5.46, and the 25th percentile was -15.97. |
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Rush Yards | Rushing Yards is the total amount of yards a player has gained when carrying the ball on running plays. A higher number means the player is helping the offense get closer to the end zone at a higher volume. James Cook led the league with 1,621 Rushing Yards in 2025 and helped unlock a Bills running attack that was able to bowl over defenses. From 2022-2025, the 90th percentile Rushing Yards for running backs was 1238, the 75th percentile was 1039, the 50th percentile was 812, and the 25th percentile was 592. |
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Rush TD | Rushing Touchdowns is the total number of times a ball carrier ran the ball into the end zone. A higher number means the player scored more points for their team. Jonathan Taylor led the league with 18 Rushing Touchdowns in 2025 and was one of the most productive running backs in all of football. From 2022-2025, the 90th percentile Rushing Touchdowns for running backs was 12, the 75th percentile was 8, the 50th percentile was 5, and the 25th percentile was 3. |
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Yards Per Carry | Yards Per Carry is the number of rushing yards a player has divided by their total carries. A higher Yards Per Carry means a player is gaining more rushing yards on average. De’Von Achane led running backs with 5.67 Yards Per Carry in 2025, which showed off his ability to hit home runs on any snap. From 2022-2025, the 90th percentile Yards Per Carry for running backs was 5.09, the 75th percentile was 4.69, the 50th percentile was 4.33, and the 25th percentile was 3.89. |
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Yards After Contact | Yards After Contact is the amount of rushing yards that a player gains after they have been contacted by a defender. A higher number means the player is able to generate more yards regardless of defenders getting a hand on them. Derrick Henry put up 1,123 Yards After Contact in 2025 as he broke tackles and created explosives on the ground. From 2022-2025, the 90th percentile Yards After Contact for running backs was 861, the 75th percentile was 755, the 50th percentile was 603, and the 25th percentile was 438. |
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Avg. Box Defenders | Average Box Defenders represents the average number of defensive players in the area close to the offensive line, ranging horizontally roughly from where an offensive tight end would line up on either side of the formation and vertically to about where the linebackers line up. A higher Average Box Defenders mean a running back is playing against more defenders in the immediate run area, though offensive formations can invite defenders into the box. Derrick Henry had the highest Average Box Defenders in 2025 at 7.84, which showed he was often running against stacked looks. From 2022-2025, the 90th percentile Average Box Defenders for running backs was 7.54, the 75th percentile was 7.39, the 50th percentile was 7.22, and the 25th percentile was 7.10. |
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Success % | Success Rate represents the percentage of a player’s plays that end up in positive Expected Points Added. Expected Points Added 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. Kyren Williams led starting running backs with a 50.6% Success Rate in 2025, which showed his ability to consistently gain positive yards without taking many losses. From 2022-2025, the 90th percentile Success Rate for running backs was 47.20%, the 75th percentile was 43.70%, the 50th percentile was 40.42%, and the 25th percentile was 37.30%. |
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TFL % | Tackle for Loss Rate is the percentage of runs a ball carrier has that end up in negative yards. A lower number is better for a running back and players who avoid being tackled for a loss can keep the offense on schedule. James Cook had one of the best Tackle for Loss Rate in 2025 at 4.53%. From 2022-2025, the 90th percentile Tackle for Loss Percentage for running backs was 6.02%, the 75th percentile was 7.21%, the 50th percentile was 9.26%, and the 25th percentile was 11.07%. |
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Explosive % | Explosive Play Rate is the percentage of rushing plays that were in the top 10 percentile for yards gained. A higher number is better and represents a running back that is ripping off chunk gains for big yards. De’Von Achane had a 13.45% Explosive Play Rate where he was able to take outside runs deep into defensive territory. From 2022-2025, the 90th percentile Explosive Play Rate for running backs was 10.60%, the 75th percentile was 8.99%, the 50th percentile was 7.28%, and the 25th percentile was 5.83%. |
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First Down % | First Down Rate is the percentage of runs for a player that end in a first down. A higher number is better for running backs and can highlight a player that can squeeze out important yards in short yardage situations. Kareem Hunt led running backs with a 33.74% First Down Rate in 2025 as his short runs in key situations helped the Chiefs. From 2022-2025, the 90th percentile First Down Rate for running backs was 27.27%, the 75th percentile was 24.81%, the 50th percentile was 22.75%, and the 25th percentile was 20.16%. |
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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 bigger part of their team’s offense. Christian McCaffrey led running backs with 102 receptions in 2025 as he was a dual threat back for the San Francisco 49ers. From 2022-2025, the 90th percentile Receptions running backs was 55, the 75th percentile was 40, the 50th percentile was 28, and the 25th percentile was 18. |
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Rec. Yards | Total Receiving Yards is every yard gained by a player through the passes they catch. This is a volume stat and shows a running back was able to make an impact in the passing game. Christian McCaffrey led running backs with 924 receiving yards in 2025 as he proved he could beat you on the ground or through the air. From 2022-2025, the 90th percentile Receiving Yards for running backs was 421, the 75th percentile was 309, the 50th percentile was 206, and the 25th percentile was 136. |
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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. Jahmyr Gibbs had 5 receiving touchdowns in 2025 and was a frequent threat on swing passes to get him going in space. From 2022-2025, the 90th percentile Total Receiving Touchdowns for running backs was 3, the 75th percentile was 2, the 50th percentile was 1, and the 25th percentile was 0. |
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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. Bijan Robinson led running backs with 857 Yards After Catch in 2025 as he juked defenders and made tacklers miss. From 2022-2025, the 90th percentile Yards After Catch for running backs was 468, the 75th percentile was 331, the 50th percentile was 221, and the 25th percentile was 141. |
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Target Share | Target Share represents that amount of times a player was targeted divided by the total number of passing plays their team had when the player was active for the game. A higher Target Share means the player was targeted at a higher rate when they were active for the game and is indicative of a focused threat for an offense. Just 5 running backs went over a 15% target share in 2025 and Christian McCaffrey’s rare 23.45% Target Share was very rare. From 2022-2025, the 90th percentile Target Share for running backs was 13.81%, the 75th percentile was 10.95%, the 50th percentile was 8.22%, and the 25th percentile was 5.13%. |
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How to Use RB Stats
The Running Back 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. Running Back is one of the most context dependent positions across the sport given how important better blocking is for a ball carrier.
Where to Look First
Total EPA tells us how much a player contributed to their offense. EPA Per Rush is the gold standard efficiency metric for rushers, though high volume ball carriers are dinged in this category. Succes Rate tells us if a player is consistently keeping their offense ahead of the chains.
Player Style
Explosive Rate and Tackle for Loss Rate can tell us if a player has a boom or bust rushing style. Yards After Contact help us see if the player is breaking tackles on the way to more yards while Receptions and Receiving Yards give us a hint if the player is a factor in the pass game.
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 by run concept and by box count. These filters can help isolate where a player succeeds or struggles.
Small Sample Sizes Can Be Misleading
Be aware of small samples with running backs. Consider how many plays you are seeing in each specific section and potentially apply the 100 or 250 minimum rushes for specific splits towards the end of the season. Since running back play is dependent on factors such as offensive line play and even the defense, small sample size darlings may not perform the same if given a larger workload.