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 · High Ankle Sprain
| Position | Episodes | Avg games missed | Game 1 | Game 2 | Game 3 | Game 4 | Game 5 | Game 6 |
|---|---|---|---|---|---|---|---|---|
| QB | 26 | 3.1 gamesn=23 | -10.1%n=23 | +7.0%n=20 | -8.6%n=15 | +14.5%n=12 | +21.6%n=11 | -18.7%n=9 · small sample |
| RB | 60 | 2.4 gamesn=57 | -8.0%n=52 | -9.7%n=44 | -4.0%n=39 | +6.6%n=31 | -1.7%n=26 | -13.9%n=23 |
| WR | 51 | 2.6 gamesn=41 | -6.3%n=39 | -13.6%n=32 | -9.0%n=26 | -29.3%n=23 | -39.1%n=19 | -33.9%n=13 |
| TE | 11 | 4.6 gamesn=8 | -34.8%n=8 · small sample | +167.3%n=7 · small sample | +14.2%n=7 · small sample | +120.2%n=6 · small sample | +21.1%n=6 · small sample | -77.0%n=4 · small sample |
26 matching episodes · High Ankle Sprain · QB.
| Player / team | Injury timing | Games missed | G1 PPG Δ | G2 PPG Δ | G3 PPG Δ | G4 PPG Δ | G5 PPG Δ | G6 PPG Δ |
|---|---|---|---|---|---|---|---|---|
Bryce YoungHigh Ankle Sprain | 2025 Week 11 | 0.0 | -23.3% | +109.2% | +43.1% | +63.7% | -17.8% | +53.5% |
Bryce YoungHigh Ankle Sprain | 2025 Week 7 | 1.0 | -78.2% | -88.6% | — | — | — | — |
JJ McCarthyHigh Ankle Sprain | 2025 Week 2 | 5.0 | -14.9% | — | — | — | — | — |
Patrick MahomesHigh Ankle Sprain | 2024 Week 15 | 0.0 | +41.9% | +55.7% | — | — | — | — |
Justin HerbertHigh Ankle Sprain | 2024 Week 14 | 0.0 | -9.6% | +45.1% | +60.1% | +83.6% | — | — |
Sam DarnoldHigh Ankle Sprain | 2024 Week 12 | 0.0 | +18.0% | +108.2% | -32.3% | +38.1% | +49.2% | -54.0% |
Patrick MahomesHigh Ankle Sprain | 2024 Week 8 | 0.0 | +78.6% | — | — | — | — | — |
Justin HerbertHigh Ankle Sprain | 2024 Week 3 | 0.0 | +4.5% | +28.1% | +38.2% | +125.3% | +82.4% | +85.0% |
Justin HerbertHigh Ankle Sprain | 2024 Week 2 | — | — | — | — | — | — | — |
Will LevisHigh Ankle Sprain | 2023 Week 15 | — | — | — | — | — | — | — |
Trevor LawrenceHigh Ankle Sprain | 2023 Week 13 | 0.0 | +6.3% | — | — | — | — | — |
Kenny PickettHigh Ankle Sprain | 2023 Week 13 | 11.0 | -100.0% | -96.9% | — | — | — | — |
Deshaun WatsonHigh Ankle Sprain | 2023 Week 10 | — | — | — | — | — | — | — |
Ryan TannehillHigh Ankle Sprain | 2023 Week 6 | 8.0 | -2.4% | -32.9% | +24.0% | — | — | — |
Ryan TannehillHigh Ankle Sprain | 2022 Week 15 | 3.0 | -82.8% | +49.8% | -70.4% | -9.6% | -30.5% | — |
PJ WalkerHigh Ankle Sprain | 2022 Week 10 | 12.0 | -43.4% | -18.9% | +58.9% | -100.0% | -100.0% | -97.9% |
Baker MayfieldHigh Ankle Sprain | 2022 Week 5 | 3.0 | +18.6% | -57.9% | +18.6% | -45.4% | +45.4% | -65.9% |
Mac JonesHigh Ankle Sprain | 2022 Week 3 | 3.0 | -91.3% | +10.0% | -8.7% | -4.3% | +119.6% | +17.9% |
Sam DarnoldHigh Ankle Sprain | 2022 Preseason | 11.0 | +28.6% | -10.0% | +0.7% | +67.1% | +65.1% | -93.0% |
Jalen HurtsHigh Ankle Sprain | 2021 Week 12 | 1.0 | +22.6% | -26.1% | -42.5% | — | — | — |
Carson WentzHigh Ankle Sprain | 2021 Preseason | 0.0 | +10.9% | +6.3% | -53.1% | +8.4% | +36.6% | +2.9% |
Jimmy GaroppoloHigh Ankle Sprain | 2020 Week 8 | 8.0 | +17.9% | +56.3% | — | — | — | — |
Jimmy GaroppoloHigh Ankle Sprain | 2020 Week 2 | 2.0 | -104.8% | +22.1% | -61.2% | — | — | — |
Daniel JonesHigh Ankle Sprain | 2019 Week 13 | 2.0 | +124.9% | +6.1% | — | — | — | — |
Matt RyanHigh Ankle Sprain | 2019 Week 7 | 1.0 | -36.9% | -28.9% | -66.9% | -28.2% | -7.7% | -17.3% |
Patrick MaHomesHigh Ankle Sprain | 2019 Week 1 | 0.0 | +21.3% | +6.9% | -30.9% | -28.9% | -27.8% | — |
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