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Rod Gainey Jr.

#25Rod Gainey Jr.

Rod Gainey Jr. is a Committee Back for Charlotte. Rod's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 78 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 Rod Gainey 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
260 Rush yards1 Rush TD74 Carries3.5 Yards/carry
Receiving
16 Receptions44 Rec yards0 Rec TD2.8 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume40
  • Explosiveness10
  • Consistency56
  • Receiving65
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 consistency56th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Production faded as the season progressed — 0.21 EPA/play decline from first to second half.

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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

+0.8100.81Wk 1 vs App State: -0.65 EPA/play1Wk 2 vs North Carolina: -0.10 EPA/play2Wk 3 vs Monmouth: +0.27 EPA/play3Wk 4 vs Rice: +0.02 EPA/play4Wk 7 vs Army: -0.16 EPA/play7Wk 8 vs Temple: -0.05 EPA/play8Wk 9 vs North Texas: -0.09 EPA/play9Wk 11 vs East Carolina: -0.54 EPA/play11Wk 12 vs UTSA: -0.35 EPA/play12Wk 13 vs Georgia: +0.10 EPA/play13Wk 14 vs Tulane: -0.81 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsApp StateL11-34-11.4252.501-40-0.65
2vsNorth CarolinaL3-20-6.66152.50140-0.10
3vsMonmouthW42-3515744.9121200.27
4vsRiceL17-28-14.88516.401100.02
7@ArmyL7-240.819512.70110-0.16
8vsTempleL14-49-5.1155.00-0.05
9vsNorth TexasL20-5413.84143.50260-0.09
11@East CarolinaL22-488.0100.00130-0.54
12vsUTSAL7-283.75163.20110-0.35
13@GeorgiaL3-3524.16254.2031600.10
14@TulaneL0-276.3740.60340-0.81

Usage & Situational · Pro

Snap-share proxy
Overall
14.0%
Passing plays
5.0%
Rushing plays
25.8%
Standard downs
16.9%
Passing downs
8.5%
EPA by down type
Standard downs
-0.05
Passing downs
0.00
Pass / Rush EPA
-0.11 / -0.03

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.