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Justin Marshall

#29Justin Marshall

Justin Marshall is a Pass-Catching Back for Colorado State.

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 Justin Marshall'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
260 Rush yards1 Rush TD49 Carries5.3 Yards/carry
Receiving
8 Receptions74 Rec yards0 Rec TD9.3 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume27
  • Explosiveness46
  • Consistency0
  • Receiving78
Player type
Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection
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 0.10 from the first to second half of the season.
  • Peak game: 1.15 EPA/play in Wk 13 vs Boise State (SP+ 3).

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

+1.1501.15Wk 2 vs Northern Colorado: +0.05 EPA/play2Wk 4 vs UTSA: -0.06 EPA/play4Wk 5 vs Washington State: -0.05 EPA/play5Wk 6 vs San Diego State: -0.24 EPA/play6Wk 7 vs Fresno State: +0.64 EPA/play7Wk 8 vs Hawai'i: -0.17 EPA/play8Wk 9 vs Wyoming: +0.17 EPA/play9Wk 11 vs UNLV: +0.27 EPA/play11Wk 12 vs New Mexico: -0.56 EPA/play12Wk 13 vs Boise State: +1.15 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
2vsNorthern ColoradoW21-178374.600.05
4vsUTSAL16-173.7341.302200-0.06
5vsWashington StateL3-203.822814.001250-0.05
6@San Diego StateL24-456.73144.70-0.24
7vsFresno StateW49-211.879313.310.64
8vsHawai'iL19-311.74164.00-0.17
9@WyomingL0-28-11.36335.501200.17
11vsUNLVL10-424.37273.9012700.27
12@New MexicoL17-200.9850.60300-0.56
13@Boise StateL21-493.1133.001.15

Usage & Situational · Pro

Snap-share proxy
Overall
9.6%
Passing plays
4.1%
Rushing plays
16.3%
Standard downs
12.0%
Passing downs
5.2%
EPA by down type
Standard downs
0.04
Passing downs
-0.13
Pass / Rush EPA
-0.01 / 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.