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Girard Pringle Jr.
Girard Pringle Jr.

#0Girard Pringle Jr.

RB·Miami·2025

Girard Pringle Jr. is a Explosive Back for Miami. Girard's 2025 season produced 10.7 total EPA across 43 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 Girard Pringle Jr.'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
375 Rush yards4 Rush TD62 Carries6.0 Yards/carry
Receiving
4 Receptions53 Rec yards1 Rec TD13.3 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency70
  • Volume32
  • Explosiveness60
  • Consistency74
  • Receiving29
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)70th %ile · average
Game-to-game consistency74th %ile · average
Key findings
  • ▸High game-to-game consistency — reliable floor each week.
  • ▸3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • ▸Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • ▸Production faded as the season progressed — 0.56 EPA/play decline from first to second half.
  • ▸Peak game: 1.60 EPA/play in Wk 2 vs Bethune-Cookman.

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

+1.600−1.60Wk 2 vs Bethune-Cookman: +1.60 EPA/play2Wk 3 vs South Florida: +0.21 EPA/play3Wk 9 vs Stanford: +0.94 EPA/play9Wk 11 vs Syracuse: +0.45 EPA/play11Wk 12 vs NC State: +0.29 EPA/play12Wk 13 vs Virginia Tech: +0.14 EPA/play13Wk 14 vs Pittsburgh: +0.34 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
2vsBethune-CookmanW45-3—23618.01———1.60
3vsSouth FloridaW49-1211.65122.41———0.21
9vsStanfordW42-7-11.83124.01———0.94
11vsSyracuseW38-10-13.17557.91———0.45
12vsNC StateW41-74.8171166.8023200.29
13@Virginia TechW34-17-10.114493.5022110.14
14@PittsburghW38-78.410828.20———0.34
20vsOhio StateW24-1430.13124.00————
20@Texas A&MW10-320.7111.00————

Usage & Situational · Pro

Snap-share proxy
Overall
11.2%
Passing plays
1.8%
Rushing plays
20.1%
Standard downs
12.0%
Passing downs
8.6%
EPA by down type
Standard downs
0.17
Passing downs
0.67
Pass / Rush EPA
1.42 / 0.13

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.