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 · MCL
| Position | Episodes | Avg games missed | Game 1 | Game 2 | Game 3 | Game 4 | Game 5 | Game 6 |
|---|---|---|---|---|---|---|---|---|
| QB | 6 | 0.8 gamesn=6 | -5.9%n=5 · small sample | +14.2%n=5 · small sample | +7.9%n=4 · small sample | -3.1%n=3 · small sample | -12.7%n=2 · small sample | -13.9%n=1 · small sample |
| RB | 40 | 3.5 gamesn=27 | -29.3%n=27 | -7.3%n=24 | -18.6%n=20 | +3.7%n=16 | +32.0%n=13 | +537.5%n=9 · small sample |
| WR | 18 | 2.4 gamesn=14 | -51.8%n=11 | -3.0%n=10 | -22.5%n=7 · small sample | -12.1%n=7 · small sample | +34.9%n=6 · small sample | +83.1%n=6 · small sample |
| TE | 16 | 3.7 gamesn=15 | -44.6%n=12 | -48.9%n=10 | -34.2%n=8 · small sample | -35.0%n=7 · small sample | -46.8%n=5 · small sample | -6.1%n=5 · small sample |
18 matching episodes · MCL · WR.
| Player / team | Injury timing | Games missed | G1 PPG Δ | G2 PPG Δ | G3 PPG Δ | G4 PPG Δ | G5 PPG Δ | G6 PPG Δ |
|---|---|---|---|---|---|---|---|---|
Puka NacuaRight knee MCL sprain | 2026 Week 9 | — | — | — | — | — | — | — |
Russell GageMCL | 2025 Preseason | 0.0 | — | — | — | — | — | — |
DK MetcalfMCL | 2024 Week 7 | — | — | — | — | — | — | — |
Rome OdunzeMCL | 2024 Week 1 | 0.0 | — | — | — | — | — | — |
Deandre HopkinsMCL | 2024 Preseason | 0.0 | -88.1% | -87.2% | +48.9% | -62.5% | -32.4% | -97.3% |
AJ BrownMCL | 2023 Week 18 | — | — | — | — | — | — | — |
Brandin CooksMCL | 2023 Week 1 | 1.0 | -70.0% | -47.8% | -80.0% | +44.3% | +41.0% | -86.7% |
Corey DavisMCL | 2022 Week 7 | 3.0 | -85.2% | +16.6% | — | — | — | — |
Kenny GolladayMCL | 2022 Week 4 | — | — | — | — | — | — | — |
Deandre HopkinsMCL | 2021 Week 14 | 10.0 | +16.4% | +112.3% | — | — | — | — |
Jarvis LandryMCL | 2021 Week 2 | 4.0 | -63.3% | -55.6% | -84.6% | -72.8% | -27.8% | -28.4% |
Devonta SmithMCL | 2021 Preseason | 0.0 | — | — | — | — | — | — |
Auden TateMCL | 2019 Week 14 | 3.0 | -100.0% | -46.0% | — | — | — | — |
Tyler BoydMCL | 2018 Week 15 | 2.0 | -21.8% | +30.5% | -25.6% | -63.6% | +76.8% | -81.0% |
Cooper KuppMCL | 2018 Week 6 | 2.0 | -3.4% | — | — | — | — | — |
Rashard HigginsMCL | 2018 Week 5 | 3.0 | -44.0% | +53.1% | -52.3% | +133.7% | -85.2% | -34.2% |
Doug BaldwinMCL | 2018 Week 1 | 2.0 | -43.2% | -94.8% | +4.2% | -69.0% | — | — |
Tyler BoydMCL | 2017 Week 5 | 4.0 | -47.4% | +357.9% | +31.6% | +5.3% | +236.8% | +826.3% |
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