Compare games missed, fantasy production and snap-share changes after NFL turf toe injuries, with position-specific sample sizes.
63 recorded episodes · Updated November 11, 2026 · Half-PPR fantasy scoring
How does fantasy production change after return?
| Position | Episodes | Avg games missed | Game 1 | Game 2 | Game 3 | Game 4 | Game 5 | Game 6 |
|---|---|---|---|---|---|---|---|---|
| QB | 8 | 2.1 gamesn=7 | +4.9%n=7 · small sample | +26.7%n=7 · small sample | -14.5%n=5 · small sample | -19.3%n=4 · small sample | -0.9%n=3 · small sample | +40.3%n=2 · small sample |
| RB | 18 | 2.0 gamesn=15 | -44.4%n=14 | -3.9%n=11 | +15.5%n=9 · small sample | +31.7%n=8 · small sample | -8.6%n=6 · small sample | +78.3%n=5 · small sample |
| WR | 28 | 2.8 gamesn=23 | -24.5%n=21 | +3.1%n=18 | +4.2%n=16 | +33.6%n=14 | +25.7%n=11 | +18.9%n=9 · small sample |
| TE | 9 | 2.4 gamesn=9 | -34.8%n=9 · small sample | +89.2%n=6 · small sample | -26.6%n=4 · small sample | +101.0%n=3 · small sample | -0.2%n=3 · small sample | -53.9%n=2 · small sample |
Each game has its own eligible sample. These are historical comparisons, not a prediction for an individual player.
QB: first game back
+4.9% fantasy production change across 7 eligible observations.
2.1 games missed on average across 7 recorded values.
Small sample: interpret cautiously.
RB: first game back
-44.4% fantasy production change across 14 eligible observations.
2.0 games missed on average across 15 recorded values.
WR: first game back
-24.5% fantasy production change across 21 eligible observations.
2.8 games missed on average across 23 recorded values.
TE: first game back
-34.8% fantasy production change across 9 eligible observations.
2.4 games missed on average across 9 recorded values.
Small sample: interpret cautiously.
What the numbers mean for fantasy football
The big toe provides a base for push-off when accelerating and changing direction. Toe pain can affect running and, for quarterbacks, the transfer of force into a throw. Severity and the injured side matter. A player being active does not establish that push-off is comfortable or unrestricted.
Role, age, workload, associated injuries and the type of treatment can all differ between episodes. Read the diagnosis and practice report alongside these data; the averages cannot confirm readiness or a return date.
Shareable first-game comparison
Download this chart · Download summary data
Credit: Fantasy Injury Team. Link to this page when citing the chart; the chart includes the source date and sample sizes.
The people behind the percentages
Individual player episodes
Select a player to expand their injury timeline, baseline, and return-game outcomes.
Aggregate position data · Turf Toe
| Position | Episodes | Avg games missed | Game 1 | Game 2 | Game 3 | Game 4 | Game 5 | Game 6 |
|---|---|---|---|---|---|---|---|---|
| QB | 8 | 2.1 gamesn=7 | +4.9%n=7 · small sample | +26.7%n=7 · small sample | -14.5%n=5 · small sample | -19.3%n=4 · small sample | -0.9%n=3 · small sample | +40.3%n=2 · small sample |
| RB | 18 | 2.0 gamesn=15 | -44.4%n=14 | -3.9%n=11 | +15.5%n=9 · small sample | +31.7%n=8 · small sample | -8.6%n=6 · small sample | +78.3%n=5 · small sample |
| WR | 28 | 2.8 gamesn=23 | -24.5%n=21 | +3.1%n=18 | +4.2%n=16 | +33.6%n=14 | +25.7%n=11 | +18.9%n=9 · small sample |
| TE | 9 | 2.4 gamesn=9 | -34.8%n=9 · small sample | +89.2%n=6 · small sample | -26.6%n=4 · small sample | +101.0%n=3 · small sample | -0.2%n=3 · small sample | -53.9%n=2 · small sample |
28 matching episodes · Turf Toe · 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 NacuaTurf toe; concurrent right knee MCL/PCL sprains | 2026 Week 9 | — | — | — | — | — | — | — |
Jaylin NoelTurf toe | 2026 Week 7 | 1.0 | — | — | — | — | — | — |
Jakobi MeyersTurf Toe | 2025 Week 6 | 1.0 | -48.2% | -32.5% | +7.2% | +56.6% | +120.5% | +54.2% |
Malik NabersTurf Toe | 2024 Week 16 | 0.0 | +142.5% | +10.8% | — | — | — | — |
Demarcus RobinsonTurf Toe | 2024 Week 9 | 0.0 | -59.8% | -58.4% | +21.9% | — | — | — |
Xavier LegetteTurf Toe | 2024 Week 8 | 0.0 | +106.7% | -4.5% | +32.0% | +26.8% | — | — |
Josh DownsTurf Toe | 2024 Week 5 | 0.0 | +46.1% | — | — | — | — | — |
Jayden ReedTurf Toe | 2023 Week 15 | — | — | — | — | — | — | — |
DK MetcalfTurf Toe | 2023 Week 11 | 0.0 | -55.6% | +224.9% | +15.2% | -2.7% | — | — |
Curtis SamuelTurf Toe | 2023 Week 8 | 1.0 | -83.2% | -89.5% | +52.6% | -10.5% | +95.8% | -73.7% |
DeAndre HopkinsTurf Toe | 2023 Week 8 | 0.0 | -0.2% | -50.7% | +63.2% | -24.9% | +92.6% | +157.1% |
Chris OlaveTurf Toe | 2023 Week 5 | 0.0 | +24.5% | -12.6% | -32.5% | +29.2% | +74.8% | — |
Amon-Ra St BrownTurf Toe | 2023 Week 2 | 0.0 | -6.2% | — | — | — | — | — |
Kadarius ToneyTurf Toe | 2023 Week 2 | 0.0 | -20.0% | +540.0% | +940.0% | +1480.0% | +260.0% | — |
Justin JeffersonTurf Toe | 2022 Week 10 | 0.0 | -73.4% | +37.6% | -16.4% | +54.0% | +34.6% | +40.1% |
Kendrick BourneTurf Toe | 2022 Week 6 | 1.0 | -100.0% | -33.5% | -68.0% | +8.4% | -50.7% | +77.3% |
Treylon BurksTurf Toe | 2022 Week 4 | 4.0 | -28.2% | +168.7% | +65.6% | — | — | — |
Michael ThomasTurf Toe | 2022 Week 3 | 14.0 | -51.8% | -49.6% | -55.2% | -59.1% | -52.4% | -60.8% |
Chase ClaypoolTurf Toe | 2021 Week 9 | 1.0 | +13.2% | -7.8% | -39.1% | +28.4% | -81.9% | -42.0% |
Scott MillerTurf Toe | 2021 Week 3 | 7.0 | — | — | — | — | — | — |
Randall CobbTurf Toe | 2020 Week 11 | 6.0 | -53.4% | -49.7% | -100.0% | +162.4% | -51.0% | -100.0% |
Diontae JohnsonTurf Toe | 2020 Week 2 | 0.0 | -89.7% | — | — | — | — | — |
Michael pittman JrTurf Toe | 2020 Week 2 | — | — | — | — | — | — | — |
Sterling ShepardTurf Toe | 2020 Week 2 | — | — | — | — | — | — | — |
Davante AdamsTurf Toe | 2019 Week 4 | 4.0 | -16.5% | +68.1% | +73.6% | +135.2% | -33.0% | +117.6% |
AJ GReenTurf Toe | 2018 Week 13 | 20.0 | -51.4% | -71.9% | -61.0% | -94.9% | — | — |
AJ GreenTurf Toe | 2018 Week 8 | — | — | — | — | — | — | — |
John BrownTurf Toe | 2017 Week 11 | 4.0 | +48.2% | -100.0% | — | — | — | — |
Snapshot updated November 11, 2026. All tables use the same 2,413-episode source snapshot. Historical comparisons are observational; they do not establish that an injury caused a particular performance change. Read the methodology and limitations.