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 | -4.4%n=5 · small sample | +10.4%n=5 · small sample | +4.4%n=4 · small sample | +5.5%n=3 · small sample | -10.4%n=2 · small sample | +15.3%n=1 · small sample |
| RB | 40 | 3.5 gamesn=27 | -25.0%n=27 | -13.2%n=24 | -17.3%n=20 | +32.4%n=16 | +21.0%n=13 | +120.8%n=9 · small sample |
| WR | 18 | 2.4 gamesn=14 | -21.6%n=11 | -17.9%n=10 | -28.5%n=7 · small sample | -10.6%n=7 · small sample | -11.5%n=6 · small sample | -1.7%n=6 · small sample |
| TE | 16 | 3.7 gamesn=15 | -22.8%n=14 | -6.5%n=12 | -4.4%n=10 | -15.9%n=8 · small sample | -19.6%n=6 · small sample | -18.0%n=6 · small sample |
16 matching episodes · MCL · TE.
| Player / team | Injury timing | Games missed | G1 snap Δ | G2 snap Δ | G3 snap Δ | G4 snap Δ | G5 snap Δ | G6 snap Δ |
|---|---|---|---|---|---|---|---|---|
Dallas GoedertRight MCL sprain aggravation | 2026 Week 6 | 0.0 | +15.9% | +27.0% | +28.6% | — | — | — |
Dallas GoedertRight knee MCL sprain; grade not reported | 2026 Week 2 | 2.0 | -27.4% | — | — | — | — | — |
Jake TongesMCL injury | 2026 Week 1 | 7.0 | — | — | — | — | — | — |
Grant CalcaterraMCL | 2025 Week 18 | — | — | — | — | — | — | — |
Jake FergusonMCL | 2024 Week 1 | 1.0 | -11.6% | -2.2% | +0.5% | -10.2% | +12.5% | +9.9% |
CJ UzomahMCL | 2023 Week 13 | 15.0 | -88.5% | -36.8% | +3.4% | -31.1% | -5.2% | +17.8% |
Kyle PittsMCL | 2022 Week 10 | 0.0 | -39.9% | — | — | — | — | — |
Tyler KroftMCL | 2022 Week 2 | 5.0 | -37.0% | -44.4% | -13.0% | -50.0% | -53.7% | -59.3% |
Dan ArnoldMCL | 2021 Week 12 | 6.0 | -70.7% | -58.0% | -79.9% | -76.2% | -79.9% | -90.9% |
Adam TrautmanMCL | 2021 Week 11 | 3.0 | -27.1% | +6.1% | -11.8% | — | — | — |
Jordan ReedMCL | 2020 Week 3 | 5.0 | -25.8% | +41.9% | +38.7% | +64.5% | +32.3% | +61.3% |
George KittleMCL | 2020 Week 1 | 2.0 | +11.8% | +12.9% | +9.5% | +2.7% | — | — |
Austin HooperMCL | 2019 Week 10 | 3.0 | -23.1% | -1.5% | -17.1% | -13.5% | — | — |
Evan EngramMCL | 2019 Week 5 | 1.0 | +5.7% | +12.1% | — | — | — | — |
Jonnu SmithMCL | 2018 Week 14 | 3.0 | -19.9% | -37.7% | -35.2% | -13.6% | -23.7% | -46.6% |
Evan EngramMCL | 2018 Week 3 | 3.0 | -9.0% | 0.0% | — | — | — | — |
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