Turf Toe: NFL Recovery & Fantasy Performance Data

Original Fantasy Injury Team research by position, with sample sizes.

Injury Data Center / Turf toe

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?

Turf Toe · Fantasy points change from the recorded pre-injury baseline · 10% trimmed mean
PositionEpisodesAvg games missedGame 1Game 2Game 3Game 4Game 5Game 6
QB82.1 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
RB182.0 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
WR282.8 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
TE92.4 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

Turf toe: first return-game fantasy points change by position, with sample sizes

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.

9 episodes

Aggregate position data · Turf Toe

Turf Toe · Snap share change from the recorded pre-injury baseline · 10% trimmed mean
PositionEpisodesAvg games missedGame 1Game 2Game 3Game 4Game 5Game 6
QB82.1 gamesn=7+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
RB182.0 gamesn=15-14.8%n=14+6.0%n=11-3.5%n=9 · small sample+12.5%n=8 · small sample-12.3%n=6 · small sample-4.3%n=5 · small sample
WR282.8 gamesn=23-8.7%n=22-11.0%n=19+2.3%n=17+0.1%n=15-2.6%n=12+8.2%n=9 · small sample
TE92.4 gamesn=9-12.3%n=9 · small sample-1.0%n=6 · small sample-1.3%n=4 · small sample+0.6%n=3 · small sample+2.8%n=3 · small sample-5.3%n=2 · small sample
Change vs baseline0% or higherUnder 10% decline10% to under 20% decline20%+ decline

9 matching episodes · Turf Toe · TE.

Games 1–6 after return. A dash means no eligible observation is available. Scroll sideways on smaller screens.
Player / teamInjury timingGames missedG1 snap ΔG2 snap ΔG3 snap ΔG4 snap ΔG5 snap ΔG6 snap Δ
Gunnar Helm

Turf Toe
Injury date: 2025-12-21
Pre-injury fantasy points/game: 4.80
First return-game fantasy points: 0.60
Pre-injury snap share: 0.51
First return-game snap share: 0.58

TEN · TEPlayer profile
2025 Week 160.0+14.0%—————
Theo Johnson

Turf Toe
Injury date: 2025-09-21
Pre-injury fantasy points/game: 3.20
First return-game fantasy points: 9.20
Pre-injury snap share: 0.81
First return-game snap share: 0.70

NYG · TEPlayer profile
2025 Week 30.0-13.6%+1.2%+11.1%+8.6%+21.0%—
Kyle Pitts

Turf Toe
Injury date: 2025-09-14
Pre-injury fantasy points/game: 9.40
First return-game fantasy points: 5.90
Pre-injury snap share: 0.78
First return-game snap share: 0.82

ATL · TEPlayer profile
2025 Week 20.0+5.1%-5.1%+19.2%———
Tyler Warren

Turf Toe
Injury date: 2025-09-14
Pre-injury fantasy points/game: 11.40
First return-game fantasy points: 5.30
Pre-injury snap share: 0.73
First return-game snap share: 0.68

IND · TEPlayer profile
2025 Week 20.0-6.8%+21.9%-2.7%+20.5%+26.0%+1.4%
Mo Alie-Cox

Turf Toe
Injury date: 2024-12-22
Pre-injury fantasy points/game: 1.76
First return-game fantasy points: 0.00
Pre-injury snap share: 0.44
First return-game snap share: 0.40

IND · TEPlayer profile
2024 Week 160.0-9.5%-14.1%————
Noah Fant

Turf Toe
Injury date: 2024-09-30
Pre-injury fantasy points/game: 4.33
First return-game fantasy points: 3.90
Pre-injury snap share: 0.67
First return-game snap share: 0.69

SEA · TEPlayer profile
2024 Week 40.0+3.5%+3.5%————
Michael Mayer

Turf Toe
Injury date: 2023-12-14
Pre-injury fantasy points/game: 3.54
First return-game fantasy points: 1.30
Pre-injury snap share: 0.72
First return-game snap share: 0.57

LV · TEPlayer profile
2023 Week 153.0-20.3%-13.3%-32.9%-27.3%-38.5%-11.9%
TJ Hockenson

Turf Toe
Injury date: 2020-11-08
Pre-injury fantasy points/game: 10.37
First return-game fantasy points: 2.30
Pre-injury snap share: 0.71
First return-game snap share: 0.66

DET · TEPlayer profile
2020 Week 90.0-7.2%—————
Jordan Reed

Turf Toe
Injury date: 2018-12-09
Pre-injury fantasy points/game: 7.73
First return-game fantasy points: 2.20
Pre-injury snap share: 0.65
First return-game snap share: 0.16

WAS · TE
2018 Week 1419.0-75.4%—————

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.