2,414 injury episodes · Fantasy performance and recovery by position
The people behind the percentages
Individual player episodes
Select a player to expand their injury timeline, baseline, and return-game outcomes.
Aggregate position data · ACL
| Position | Episodes | Avg games missed | Game 1 | Game 2 | Game 3 | Game 4 | Game 5 | Game 6 |
|---|---|---|---|---|---|---|---|---|
| QB | 9 | 9.9 gamesn=9 | +3.2%n=9 · small sample | +3.1%n=9 · small sample | +2.8%n=9 · small sample | -0.3%n=8 · small sample | +2.4%n=7 · small sample | +0.3%n=7 · small sample |
| RB | 20 | 15.1 gamesn=13 | -34.4%n=12 | -28.6%n=11 | -15.0%n=8 · small sample | -12.9%n=5 · small sample | +29.9%n=3 · small sample | +10.7%n=3 · small sample |
| WR | 34 | 12.0 gamesn=27 | -21.2%n=21 | -8.4%n=20 | -8.2%n=20 | -7.9%n=18 | -5.4%n=18 | -5.7%n=18 |
| TE | 12 | 14.1 gamesn=11 | -30.5%n=12 | -27.1%n=12 | -31.6%n=12 | -22.5%n=10 | -18.0%n=10 | -4.2%n=9 · small sample |
20 matching episodes · ACL · RB.
| Player / team | Injury timing | Games missed | G1 snap Δ | G2 snap Δ | G3 snap Δ | G4 snap Δ | G5 snap Δ | G6 snap Δ |
|---|---|---|---|---|---|---|---|---|
De'Von AchaneLeft knee ACL tear | 2026 Week 3 | 5.0 | — | — | — | — | — | — |
Zach CharbonnetLeft knee ACL tear; reconstruction | 2025 Divisional round | 7.0 | -23.5% | +17.8% | — | — | — | — |
Kendre MillerKnee ACL tear | 2025 Week 7 | — | +4.8% | -31.3% | -6.0% | +12.0% | +59.0% | +41.0% |
Antonio GibsonACL | 2025 Week 5 | — | — | — | — | — | — | — |
Kenny McIntoshACL | 2025 Preseason | — | — | — | — | — | — | — |
Jonathon BrooksRight knee ACL re-tear; reconstruction | 2024 Week 14 | — | +31.0% | +106.9% | — | — | — | — |
Keaton MitchellACL | 2023 Week 15 | 12.0 | -88.8% | -88.8% | +1.3% | -21.3% | — | — |
Jonathon BrooksACL | 2023 Week ? | 16.0 | — | — | — | — | — | — |
Nick ChubbACL | 2023 Week 2 | 21.0 | -26.5% | +20.4% | -28.6% | -38.8% | +34.7% | -30.6% |
Breece HallACL | 2022 Week 7 | 10.0 | -42.8% | -37.2% | -9.5% | -18.8% | -4.0% | +21.8% |
Javonte WilliamsACL | 2022 Week 4 | 13.0 | -19.6% | -19.6% | — | — | — | — |
Gus EdwardsACL | 2021 Preseason | 23.0 | +6.1% | — | — | — | — | — |
JK DobbinsACL | 2021 Preseason | — | — | — | — | — | — | — |
Rex BurkheadACL | 2020 Week 11 | 6.0 | -69.8% | -58.1% | -65.1% | — | — | — |
Tarik CohenACL + MCL + tibial plateau fracture | 2020 Week 3 | — | — | — | — | — | — | — |
Saquon BarkleyACL | 2020 Week 2 | 14.0 | -44.8% | -3.4% | -1.1% | +2.3% | — | — |
Rashaad PennyACL | 2019 Week 14 | 16.0 | -55.4% | -75.7% | +74.3% | — | — | — |
Jay AjayiACL | 2018 Week 5 | 21.0 | -72.3% | -69.7% | -84.9% | — | — | — |
Jerick McKinnonACL | 2018 Preseason | 32.0 | — | — | — | — | — | — |
Dalvin CookACL | 2017 Week 4 | — | — | — | — | — | — | — |
Snapshot updated November 14, 2026. All tables use the same 2,414-episode source snapshot. Historical comparisons are observational; they do not establish that an injury caused a particular performance change. Read the methodology and limitations.
About the injury recovery data
How much does an injury affect fantasy football production after a player returns? Compare quarterbacks, running backs, wide receivers and tight ends using FIT’s recorded NFL injury episodes.
Explore six return games, fantasy points and snap share. Use the tables to compare time missed and performance after return. Sample sizes appear beside the averages so you can distinguish a larger body of observations from a handful of cases.
Use the data in your own analysis
Download the position-by-injury summary CSV or use the shareable charts on each injury page. Please credit Fantasy Injury Team and link to the relevant data page so readers can check the sample and update date.
How we calculate recovery and performance · Check this week’s practice reports