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 · Ankle Fracture
| Position | Episodes | Avg games missed | Game 1 | Game 2 | Game 3 | Game 4 | Game 5 | Game 6 |
|---|---|---|---|---|---|---|---|---|
| QB | 4 | 8.7 gamesn=3 | -57.8%n=3 · small sample | -21.7%n=3 · small sample | +21.3%n=2 · small sample | -34.0%n=2 · small sample | -50.7%n=2 · small sample | -34.0%n=2 · small sample |
| RB | 7 | 6.6 gamesn=5 | -26.7%n=7 · small sample | -40.1%n=7 · small sample | -48.5%n=6 · small sample | +51.0%n=4 · small sample | -65.6%n=3 · small sample | +29.0%n=3 · small sample |
| WR | 9 | 8.6 gamesn=7 | +39.3%n=7 · small sample | -51.6%n=6 · small sample | +172.4%n=5 · small sample | -4.4%n=5 · small sample | +120.6%n=5 · small sample | -7.3%n=5 · small sample |
| TE | 5 | 6.5 gamesn=4 | -6.5%n=4 · small sample | -5.1%n=4 · small sample | -25.4%n=4 · small sample | -6.5%n=4 · small sample | -17.4%n=4 · small sample | +16.4%n=4 · small sample |
25 matching episodes · Ankle Fracture · All positions.
| Player / team | Injury timing | Games missed | G1 PPG Δ | G2 PPG Δ | G3 PPG Δ | G4 PPG Δ | G5 PPG Δ | G6 PPG Δ |
|---|---|---|---|---|---|---|---|---|
Bo NixRight ankle fracture; two surgeries | 2025 Divisional round | 0.0 | -69.7% | -21.3% | +34.6% | -24.4% | -55.8% | -75.0% |
Daniel JonesAnkle Fracture | 2025 Week 10 | 0.0 | -14.5% | -18.0% | — | — | — | — |
Dak PrescottAnkle Fracture | 2020 Week 5 | — | — | — | — | — | — | — |
Alex SmithAnkle Fracture | 2018 Week 11 | 26.0 | -89.3% | -25.7% | +8.0% | -43.7% | -45.6% | +6.9% |
Quinshon JudkinsFibula fracture with ankle dislocation; surgical fixation | 2025 Week 16 | — | -47.7% | -36.4% | -22.5% | +62.1% | -43.4% | +99.5% |
Cam SkatteboAnkle Fracture | 2025 Week 8 | — | -7.1% | -50.6% | -24.2% | -53.2% | -59.8% | -100.0% |
Omarion HamptonAnkle Fracture | 2025 Week 4 | 0.0 | -6.3% | +28.4% | -34.4% | +50.0% | — | — |
Isiah PachecoAnkle Fracture | 2024 Week 2 | 9.0 | -63.5% | -52.0% | -64.9% | — | — | — |
Rashaad PennyAnkle Fracture | 2022 Week 5 | 13.0 | -83.0% | -92.9% | -85.7% | — | — | — |
Kenyan DrakeAnkle Fracture | 2021 Week 13 | 5.0 | -34.9% | -89.8% | -59.2% | +145.0% | -93.6% | +87.6% |
Chris ThompsonAnkle Fracture | 2017 Week 11 | 6.0 | +55.6% | +12.8% | — | — | — | — |
Calvin RidleyAnkle Fracture | 2025 Week 11 | 7.0 | -100.0% | -27.0% | -100.0% | -70.8% | -30.3% | -100.0% |
Tank DellAnkle Fracture | 2024 Week 13 | — | — | — | — | — | — | — |
Darnell MooneyAnkle Fracture | 2022 Week 12 | 5.0 | +79.5% | — | — | — | — | — |
Jamison CrowderAnkle Fracture | 2022 Week 4 | 14.0 | -100.0% | +19.2% | +630.8% | +65.4% | -100.0% | -15.4% |
DJ CharkAnkle Fracture | 2021 Week 4 | 13.0 | +28.2% | -100.0% | — | — | — | — |
Amari CooperAnkle Fracture | 2020 Week 17 | — | — | — | — | — | — | — |
Cole BeasleyAnkle Fracture | 2020 Week 16 | 1.0 | -14.3% | -52.0% | +31.2% | -77.7% | -91.4% | +56.9% |
Curtis SamuelAnkle Fracture | 2017 Week 10 | 9.0 | +365.2% | -100.0% | +291.3% | +87.0% | +717.4% | +69.6% |
Odell Beckham Jr.Ankle Fracture | 2017 Week 5 | 11.0 | +16.5% | -49.9% | +8.7% | -25.9% | +107.4% | -47.8% |
Ja'Tavion SandersAnkle Fracture | 2025 Week 17 | — | — | — | — | — | — | — |
Mark AndrewsAnkle Fracture | 2023 Week 11 | 6.0 | -80.3% | -41.7% | -100.0% | -100.0% | -38.4% | +15.8% |
Dallas GoedertAnkle Fracture | 2020 Week 3 | 4.0 | -84.1% | -57.8% | +29.1% | +35.5% | -27.5% | -49.8% |
TJ HockensonAnkle Fracture | 2019 Week 13 | 4.0 | +158.9% | +50.6% | +34.1% | +81.8% | +59.8% | +164.4% |
Tyler EifertAnkle Fracture | 2018 Week 4 | 12.0 | -20.4% | +28.6% | -64.8% | -43.4% | -63.3% | -64.8% |
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