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Jake Rendina

#33Jake Rendina

RB·Army·2025

Jake Rendina is a Explosive Back for Army. Jake's 2025 season produced 6.5 total EPA across 40 plays.

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 Jake Rendina'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
187 Rush yards1 Rush TD40 Carries4.7 Yards/carry

Performance Analysis · 2025 · vs RB peers

  • Efficiency13
  • Volume17
  • Explosiveness34
  • Consistency0
  • Receiving0
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)13th %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 0.23 from the first to second half of the season.

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

+0.4700.47Wk 1 vs Tarleton State: -0.40 EPA/play1Wk 2 vs Kansas State: -0.39 EPA/play2Wk 6 vs UAB: +0.23 EPA/play6Wk 7 vs Charlotte: +0.09 EPA/play7Wk 8 vs Tulane: -0.47 EPA/play8Wk 11 vs Temple: +0.34 EPA/play11Wk 13 vs Tulsa: -0.31 EPA/play13Wk 14 vs UTSA: +0.25 EPA/play14Wk 16 vs Navy: -0.11 EPA/play16
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDEPA/play
1vsTarleton StateL27-303103.30-0.40
2@Kansas StateW24-217.0133.00-0.39
6@UABW31-13-15.8284.000.23
7vsCharlotteW24-7-26.72105.000.09
8@TulaneL17-246.3252.50-0.47
11vsTempleW14-13-5.19424.710.34
13vsTulsaL25-26-10.05122.40-0.31
14@UTSAW27-243.7166.000.25
16vsNavyL16-176.2144.00-0.11
20vsUConnW41-165.114876.20

Usage & Situational · Pro

Snap-share proxy
Overall
5.9%
Passing plays
0.0%
Rushing plays
7.0%
Standard downs
8.0%
Passing downs
0.0%
EPA by down type
Standard downs
0.16
Passing downs
Pass / Rush EPA
— / 0.16

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.
Jake Rendina Stats, EPA & Player Profile — Army · Gridpex