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 · Toe Injury
| Position | Episodes | Avg games missed | Game 1 | Game 2 | Game 3 | Game 4 | Game 5 | Game 6 |
|---|---|---|---|---|---|---|---|---|
| QB | 9 | 2.0 gamesn=8 | +0.5%n=7 · small sample | +1.5%n=7 · small sample | -2.1%n=5 · small sample | -7.4%n=4 · small sample | -0.9%n=3 · small sample | +1.1%n=2 · small sample |
| RB | 22 | 1.7 gamesn=19 | -14.1%n=18 | +11.5%n=13 | -5.9%n=10 | +9.3%n=9 · small sample | +13.3%n=7 · small sample | +3.3%n=6 · small sample |
| WR | 33 | 2.3 gamesn=28 | -4.9%n=27 | -2.3%n=22 | +7.1%n=20 | +10.6%n=18 | +6.2%n=15 | +8.0%n=11 |
| TE | 11 | 2.0 gamesn=11 | -11.6%n=11 | +0.0%n=7 · small sample | -0.3%n=5 · small sample | +11.2%n=4 · small sample | +7.7%n=4 · small sample | -5.3%n=2 · small sample |
33 matching episodes · Toe Injury · WR.
| Player / team | Injury timing | Games missed | G1 snap Δ | G2 snap Δ | G3 snap Δ | G4 snap Δ | G5 snap Δ | G6 snap Δ |
|---|---|---|---|---|---|---|---|---|
Puka NacuaTurf toe; concurrent right knee MCL/PCL sprains | 2026 Week 9 | — | — | — | — | — | — | — |
Jaylin NoelTurf toe | 2026 Week 7 | 1.0 | — | — | — | — | — | — |
DeVonta SmithToe injury; side and specific tissue diagnosis not reported | 2026 Week 6 | 0.0 | -30.0% | — | — | — | — | — |
Zay FlowersToe injury; side and specific tissue diagnosis not reported | 2026 Week 5 | 0.0 | +82.2% | +95.6% | +88.9% | +82.2% | +46.7% | — |
Keon ColemanSprained right foot/toe | 2026 Preseason | 0.0 | -23.3% | — | — | — | — | — |
Emeka EgbukaToe sprain | 2026 Preseason | 0.0 | +10.8% | +10.8% | -4.7% | +21.1% | +14.6% | +10.8% |
Matthew GoldenToe injury | 2026 Preseason | 0.0 | +54.1% | +61.6% | +54.1% | +65.4% | +44.7% | +57.9% |
Jakobi MeyersTurf Toe | 2025 Week 6 | 1.0 | -4.7% | -52.9% | -30.4% | -10.1% | -1.5% | -11.1% |
Malik NabersTurf Toe | 2024 Week 16 | 0.0 | -9.6% | -24.7% | — | — | — | — |
Demarcus RobinsonTurf Toe | 2024 Week 9 | 0.0 | -8.5% | -17.3% | -11.8% | — | — | — |
Xavier LegetteTurf Toe | 2024 Week 8 | 0.0 | +30.6% | +54.2% | +47.9% | +51.0% | — | — |
Josh DownsTurf Toe | 2024 Week 5 | 0.0 | +32.8% | — | — | — | — | — |
Jayden ReedTurf Toe | 2023 Week 15 | — | — | — | — | — | — | — |
DK MetcalfTurf Toe | 2023 Week 11 | 0.0 | +5.7% | +10.6% | +10.6% | +13.1% | — | — |
Curtis SamuelTurf Toe | 2023 Week 8 | 1.0 | -22.1% | -75.5% | -15.9% | -11.4% | +10.0% | +0.9% |
DeAndre HopkinsTurf Toe | 2023 Week 8 | 0.0 | -4.6% | +9.2% | -12.9% | -21.2% | +5.1% | -12.9% |
Chris OlaveTurf Toe | 2023 Week 5 | 0.0 | +10.3% | +1.6% | -7.2% | -11.0% | +1.6% | — |
Amon-Ra St BrownTurf Toe | 2023 Week 2 | 0.0 | 0.0% | — | — | — | — | — |
Kadarius ToneyTurf Toe | 2023 Week 2 | 0.0 | -88.0% | -4.0% | +52.0% | +68.0% | -24.0% | — |
Justin JeffersonTurf Toe | 2022 Week 10 | 0.0 | -18.7% | -0.1% | -1.2% | -3.2% | -5.3% | +3.0% |
Kendrick BourneTurf Toe | 2022 Week 6 | 1.0 | +105.4% | +126.2% | +13.1% | +105.4% | +10.1% | +111.3% |
Treylon BurksTurf Toe | 2022 Week 4 | 4.0 | +11.3% | -0.7% | +33.1% | — | — | — |
Michael ThomasTurf Toe | 2022 Week 3 | 14.0 | +16.8% | +13.9% | +9.5% | +16.8% | +3.6% | +21.2% |
Chase ClaypoolTurf Toe | 2021 Week 9 | 1.0 | +15.7% | +24.6% | -19.9% | -25.0% | -19.9% | +4.2% |
Scott MillerTurf Toe | 2021 Week 3 | 7.0 | -61.3% | -61.3% | +403.2% | -74.2% | +48.4% | — |
Randall CobbTurf Toe | 2020 Week 11 | 6.0 | -60.9% | -72.9% | -50.3% | -30.8% | -17.2% | -41.3% |
Diontae JohnsonTurf Toe | 2020 Week 2 | 0.0 | -72.1% | — | — | — | — | — |
Michael pittman JrTurf Toe | 2020 Week 2 | — | — | — | — | — | — | — |
Sterling ShepardTurf Toe | 2020 Week 2 | — | — | — | — | — | — | — |
Davante AdamsTurf Toe | 2019 Week 4 | 4.0 | -11.3% | -17.6% | -20.8% | -17.6% | -12.3% | -1.8% |
AJ GReenTurf Toe | 2018 Week 13 | 20.0 | -23.1% | -27.8% | -11.5% | -17.3% | — | — |
AJ GreenTurf Toe | 2018 Week 8 | — | — | — | — | — | — | — |
John BrownTurf Toe | 2017 Week 11 | 4.0 | -21.9% | -21.9% | — | — | — | — |
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