Skip to content
Caleb Ramseur

#20Caleb Ramseur

Caleb Ramseur is a Committee Back for Nevada. Caleb's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 146 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 Caleb Ramseur'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
683 Rush yards5 Rush TD139 Carries4.9 Yards/carry
Receiving
18 Receptions191 Rec yards3 Rec TD10.6 Yards/rec
Returns
3 Kick returns67 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume62
  • Explosiveness38
  • Consistency26
  • Receiving58
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 consistency26th %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.
  • Strong second-half surge — EPA/play improved 0.15 from the first to second half of the season.
  • Peak game: 0.64 EPA/play in Wk 11 vs Utah State (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.

Historical Comparables · RB · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Saquon BarkleyPenn State0.3403.997.9

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+0.6400.64Wk 1 vs Penn State: -0.40 EPA/play1Wk 2 vs Sacramento State: +0.24 EPA/play2Wk 3 vs Middle Tennessee: -0.28 EPA/play3Wk 4 vs Western Kentucky: +0.43 EPA/play4Wk 6 vs Fresno State: +0.34 EPA/play6Wk 7 vs San Diego State: -0.04 EPA/play7Wk 8 vs New Mexico: -0.02 EPA/play8Wk 9 vs Boise State: -0.24 EPA/play9Wk 11 vs Utah State: +0.64 EPA/play11Wk 12 vs San José State: +0.27 EPA/play12Wk 13 vs Wyoming: +0.22 EPA/play13Wk 14 vs UNLV: +0.30 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@Penn StateL11-4618.15102.00-0.40
2vsSacramento StateW20-1713705.4031700.24
3vsMiddle TennesseeL13-14-16.05132.60-0.28
4@Western KentuckyL16-311.69667.3011200.43
6@Fresno StateL17-201.816774.8022210.34
7vsSan Diego StateL10-446.78354.40-0.04
8@New MexicoL22-240.914392.821100-0.02
9vsBoise StateL3-243.17192.702150-0.24
11@Utah StateL14-51-3.18435.4035710.64
12vsSan José StateW55-10-14.3201286.4122910.27
13@WyomingW13-7-11.319884.6012100.22
14vsUNLVL17-424.315956.323800.30

Usage & Situational · Pro

Snap-share proxy
Overall
21.8%
Passing plays
6.9%
Rushing plays
34.3%
Standard downs
23.8%
Passing downs
18.0%
EPA by down type
Standard downs
0.14
Passing downs
0.15
Pass / Rush EPA
0.36 / 0.11

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.