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Dylan Carson

#5Dylan Carson

Dylan Carson is a Committee Back for Air Force. Dylan's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 90 plays — a developing rate for the RB.

What projects, and what doesn't · RBs · held out 2019-2025

How well one season predicts the next, measured on seasons the model never trained on. 1.00 would be perfectly predictable; 0.00 means last year told us nothing.

  • Usage share (volume)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Dylan Carson's projection is a projection of opportunity — how much of the offense he runs through. How well he converts it is something this model does not claim to know a year in advance, and the number above is why.

2025 Production

Rushing
419 Rush yards4 Rush TD91 Carries4.6 Yards/carry

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume31
  • Explosiveness32
  • Consistency0
  • Receiving0
Player type
Committee Back

Part of a rotation — contributes in a complementary role and keeps the featured back fresh.

Rotational roleSituational use
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.53 EPA/play in Wk 12 vs UConn (SP+ 5).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group deals.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Game Log · box score + EPA, week by week

+0.5300.53Wk 1 vs Bucknell: +0.21 EPA/play1Wk 3 vs Utah State: +0.36 EPA/play3Wk 4 vs Boise State: +0.22 EPA/play4Wk 5 vs Hawai'i: -0.24 EPA/play5Wk 6 vs Navy: +0.00 EPA/play6Wk 7 vs UNLV: -0.24 EPA/play7Wk 8 vs Wyoming: +0.53 EPA/play8Wk 10 vs Army: -0.13 EPA/play10Wk 11 vs San José State: -0.22 EPA/play11Wk 12 vs UConn: +0.53 EPA/play12Wk 13 vs New Mexico: -0.15 EPA/play13Wk 14 vs Colorado State: -0.29 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDEPA/play
1vsBucknellW49-1311524.710.21
3@Utah StateL30-49-3.18536.600.36
4vsBoise StateL37-493.1161096.810.22
5vsHawai'iL35-441.75112.20-0.24
6@NavyL31-346.29242.700.00
7@UNLVL48-514.3393.00-0.24
8vsWyomingW24-21-11.34317.800.53
10vsArmyL17-200.8144.00-0.13
11@San José StateW26-16-14.311312.80-0.22
12@UConnL16-265.111585.320.53
13vsNew MexicoL3-200.96193.20-0.15
14@Colorado StateW42-21-15.66183.00-0.29

Usage & Situational · Pro

Snap-share proxy
Overall
10.9%
Passing plays
0.0%
Rushing plays
14.0%
Standard downs
13.0%
Passing downs
4.5%
EPA by down type
Standard downs
0.06
Passing downs
0.51
Pass / Rush EPA
— / 0.10

Usage = share of team plays (CFBD has no true snap counts).

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.