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Nahree Biggins

#5Nahree Biggins

Nahree Biggins is a Pass-Catching Back for Central Michigan. Nahree's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 121 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 Nahree Biggins'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
540 Rush yards2 Rush TD105 Carries5.1 Yards/carry
Receiving
19 Receptions185 Rec yards1 Rec TD9.7 Yards/rec
Returns
12 Kick returns250 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume47
  • Explosiveness42
  • Consistency0
  • Receiving82
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.
  • High game-to-game variance — boom-or-bust profile.
  • Peak game: 0.94 EPA/play in Wk 4 vs Wagner.

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

+0.9400.94Wk 1 vs San José State: +0.16 EPA/play1Wk 2 vs Pittsburgh: -0.56 EPA/play2Wk 3 vs Michigan: -0.20 EPA/play3Wk 4 vs Wagner: +0.94 EPA/play4Wk 5 vs Eastern Michigan: +0.28 EPA/play5Wk 6 vs Akron: -0.01 EPA/play6Wk 8 vs Bowling Green: -0.23 EPA/play8Wk 9 vs Massachusetts: +0.08 EPA/play9Wk 10 vs Western Michigan: -0.12 EPA/play10Wk 12 vs Buffalo: +0.04 EPA/play12Wk 13 vs Kent State: +0.09 EPA/play13Wk 14 vs Toledo: +0.38 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@San José StateW16-14-14.3181025.701900.16
2@PittsburghL17-458.49101.10220-0.56
3@MichiganL3-6312.4122.00260-0.20
4vsWagnerW49-105153.00310610.94
5vsEastern MichiganW24-13-14.7141138.1132300.28
6@AkronL22-28-13.97365.10360-0.01
8@Bowling GreenW27-6-12.610434.30-0.23
9vsMassachusettsW38-13-36.610949.401600.08
10@Western MichiganL21-24-1.47111.61-0.12
12vsBuffaloW38-19-7.54102.5021700.04
13@Kent StateW28-16-19.312615.101200.09
14vsToledoL3-216.08435.401800.38

Usage & Situational · Pro

Snap-share proxy
Overall
16.5%
Passing plays
7.4%
Rushing plays
21.4%
Standard downs
19.1%
Passing downs
10.9%
EPA by down type
Standard downs
0.11
Passing downs
0.12
Pass / Rush EPA
0.56 / 0.04

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.