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DJ Butler

#25DJ Butler

DJ Butler is a Committee Back for Houston. DJ's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 65 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 DJ Butler'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
301 Rush yards0 Rush TD68 Carries4.4 Yards/carry
Receiving
8 Receptions58 Rec yards0 Rec TD7.3 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume26
  • Explosiveness28
  • Consistency0
  • Receiving52
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.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • Strong second-half surge — EPA/play improved 0.19 from the first to second half of the season.

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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

+0.4100.41Wk 1 vs Stephen F. Austin: -0.07 EPA/play1Wk 2 vs Rice: -0.41 EPA/play2Wk 5 vs Oregon State: +0.15 EPA/play5Wk 7 vs Oklahoma State: +0.10 EPA/play7Wk 8 vs Arizona: -0.28 EPA/play8Wk 9 vs Arizona State: +0.02 EPA/play9Wk 10 vs West Virginia: +0.13 EPA/play10Wk 11 vs UCF: +0.17 EPA/play11Wk 13 vs TCU: -0.11 EPA/play13Wk 14 vs Baylor: +0.14 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsStephen F. AustinW27-05295.80-0.07
2@RiceW35-9-14.84112.80-0.41
5@Oregon StateW27-24-15.93175.700.15
7@Oklahoma StateW39-17-15.15173.401900.10
8vsArizonaW31-2812.0273.50-0.28
9@Arizona StateW24-163.94194.800.02
10vsWest VirginiaL35-45-6.85255.001900.13
11@UCFW30-27-1.214694.902800.17
13vsTCUL14-178.38334.102130-0.11
14@BaylorW31-241.410535.3011200.14
20vsLSUW38-3510.38212.60170

Usage & Situational · Pro

Snap-share proxy
Overall
9.1%
Passing plays
2.6%
Rushing plays
14.2%
Standard downs
10.5%
Passing downs
5.7%
EPA by down type
Standard downs
0.15
Passing downs
-0.51
Pass / Rush EPA
0.30 / -0.01

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.