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Noah White

#23Noah White

Noah White is a Pass-Catching Back for Utah 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 Noah White'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
93 Rush yards0 Rush TD25 Carries3.7 Yards/carry
Receiving
8 Receptions149 Rec yards0 Rec TD18.6 Yards/rec
Returns
1 Kick returns29 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume15
  • Explosiveness14
  • Consistency0
  • Receiving89
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.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.92 from the first to second half of the season.
  • Peak game: 2.75 EPA/play in Wk 12 vs UNLV (SP+ 4).

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

+2.7502.75Wk 2 vs Texas A&M: -1.10 EPA/play2Wk 3 vs Air Force: +0.42 EPA/play3Wk 4 vs McNeese: +0.15 EPA/play4Wk 5 vs Vanderbilt: -0.58 EPA/play5Wk 8 vs San José State: -0.60 EPA/play8Wk 9 vs New Mexico: -0.18 EPA/play9Wk 11 vs Nevada: +0.18 EPA/play11Wk 12 vs UNLV: +2.75 EPA/play12Wk 14 vs Boise State: +1.04 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsUTEPW28-16-17.5
2@Texas A&ML22-4420.7100.00-1.10
3vsAir ForceW49-30-3.211200.42
4vsMcNeeseW48-78496.101900.15
5@VanderbiltL35-5520.3351.70-0.58
7@Hawai'iL26-441.7130
8vsSan José StateW30-25-14.3111.00-0.60
9@New MexicoL14-330.92-3-1.501130-0.18
11vsNevadaW51-14-13.49333.7036500.18
12@UNLVL26-294.314702.75
13@Fresno StateW28-171.8
14vsBoise StateL24-253.1188.001.04

Usage & Situational · Pro

Snap-share proxy
Overall
5.3%
Passing plays
2.6%
Rushing plays
8.2%
Standard downs
5.7%
Passing downs
4.5%
EPA by down type
Standard downs
0.02
Passing downs
-0.42
Pass / Rush EPA
0.51 / -0.45

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.
Noah White Stats, EPA & Player Profile — Utah State · Gridpex