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 |
9 matching episodes · ACL · QB.
| Player / team | Injury timing | Games missed | G1 snap Δ | G2 snap Δ | G3 snap Δ | G4 snap Δ | G5 snap Δ | G6 snap Δ |
|---|---|---|---|---|---|---|---|---|
Michael PenixLeft knee partial ACL tear; reconstruction | 2025 Week 11 | 9.0 | +3.0% | +3.0% | -2.2% | +3.0% | +3.0% | +3.0% |
Daniel JonesACL | 2023 Week 9 | 8.0 | +9.9% | +9.9% | +9.9% | +9.9% | +9.9% | +9.9% |
Kyler MurrayACL | 2022 Week 14 | 13.0 | -1.8% | +1.2% | +0.2% | +1.2% | -1.8% | +1.2% |
Jameis WinstonACL tear + MCL damage; reconstruction | 2021 Week 8 | 10.0 | +4.3% | +1.2% | +4.3% | — | — | — |
Joe BurrowACL | 2020 Week 11 | 6.0 | +0.1% | +0.1% | +0.1% | +0.1% | +0.1% | -17.9% |
Jimmy GaroppoloACL | 2018 Week 3 | 13.0 | 0.0% | 0.0% | 0.0% | -1.0% | 0.0% | 0.0% |
Carson WentzACL + LCL | 2017 Week 14 | 5.0 | +4.1% | +4.1% | +4.1% | +4.1% | +4.1% | +4.1% |
Deshaun WatsonACL | 2017 Week 8 | 9.0 | +7.0% | +7.0% | +7.0% | +7.0% | — | — |
Ryan TannehillACL tear; reconstruction | 2017 Preseason | 16.0 | +1.8% | +1.8% | +1.8% | -26.7% | +1.8% | +1.8% |
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