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Terron Kellman

#11Terron Kellman

Terron Kellman is a Explosive Back for Wyoming. Terron's 2025 season ranks in the 57th percentile nationally by opponent-adjusted EPA per play across 73 plays — a average 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 Terron Kellman'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
331 Rush yards4 Rush TD65 Carries5.1 Yards/carry
Receiving
5 Receptions52 Rec yards0 Rec TD10.4 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency57
  • Volume32
  • Explosiveness42
  • Consistency53
  • Receiving49
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
Peer percentiles
Opponent-adjusted EPA (WEPA/play)57th %ile · average
Game-to-game consistency53th %ile · average
Key findings
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 0.98 EPA/play in Wk 8 vs Air Force (SP+ -3).

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

+0.9800.98Wk 1 vs Akron: +0.11 EPA/play1Wk 2 vs Northern Iowa: +0.30 EPA/play2Wk 3 vs Utah: +0.17 EPA/play3Wk 4 vs Colorado: -0.05 EPA/play4Wk 6 vs UNLV: +0.59 EPA/play6Wk 7 vs San José State: +0.41 EPA/play7Wk 8 vs Air Force: +0.98 EPA/play8Wk 9 vs Colorado State: +0.00 EPA/play9Wk 10 vs San Diego State: -0.21 EPA/play10Wk 12 vs Fresno State: -0.11 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@AkronW10-0-13.9252.501500.11
2vsNorthern IowaW31-778712.401-100.30
3vsUtahL6-3122.29455.010.17
4@ColoradoL20-37-8.35-1-0.201130-0.05
6vsUNLVL17-314.3263.0012800.59
7vsSan José StateW35-28-14.36427.010.41
8@Air ForceL21-24-3.29839.221700.98
9vsColorado StateW28-0-15.610353.500.00
10@San Diego StateL7-246.711191.70-0.21
12@Fresno StateL3-241.84102.50-0.11

Usage & Situational · Pro

Snap-share proxy
Overall
11.1%
Passing plays
3.0%
Rushing plays
19.2%
Standard downs
10.9%
Passing downs
11.4%
EPA by down type
Standard downs
0.22
Passing downs
0.19
Pass / Rush EPA
0.37 / 0.18

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.