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Sire Gaines

#26Sire Gaines

Sire Gaines is a Explosive Back for Boise State. Sire's 2025 season ranks in the 38th percentile nationally by opponent-adjusted EPA per play across 156 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 Sire Gaines'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
812 Rush yards8 Rush TD161 Carries5.0 Yards/carry
Receiving
11 Receptions72 Rec yards1 Rec TD6.5 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency38
  • Volume48
  • Explosiveness40
  • Consistency40
  • Receiving34
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)38th %ile · below avg
Game-to-game consistency40th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.14 EPA/play decline from first to second half.
  • Peak game: 0.81 EPA/play in Wk 8 vs UNLV (SP+ 4).

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
Dalvin CookFlorida State0.3404.399.3
Travis EtienneClemson0.4704.7100.1

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

Game Log · box score + EPA, week by week

+0.8100.81Wk 1 vs South Florida: -0.48 EPA/play1Wk 2 vs Eastern Washington: +0.37 EPA/play2Wk 4 vs Air Force: +0.77 EPA/play4Wk 5 vs App State: -0.10 EPA/play5Wk 6 vs Notre Dame: +0.11 EPA/play6Wk 7 vs New Mexico: +0.37 EPA/play7Wk 8 vs UNLV: +0.81 EPA/play8Wk 9 vs Nevada: -0.09 EPA/play9Wk 10 vs Fresno State: -0.01 EPA/play10Wk 12 vs San Diego State: +0.12 EPA/play12Wk 13 vs Colorado State: +0.51 EPA/play13Wk 14 vs Utah State: -0.39 EPA/play14Wk 15 vs UNLV: +0.61 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@South FloridaL7-3411.69444.903170-0.48
2vsEastern WashingtonW51-1414987.0111100.37
4@Air ForceW49-37-3.233411.300.77
5vsApp StateW47-14-11.412695.80250-0.10
6@Notre DameL7-2824.411393.500.11
7vsNew MexicoW41-250.920653.321400.37
8vsUNLVW56-314.36244.0112010.81
9@NevadaW24-3-13.417623.61-0.09
10vsFresno StateL7-301.87395.601-20-0.01
12@San Diego StateL7-176.713786.000.12
13vsColorado StateW49-21-15.6221496.8211200.51
14@Utah StateW25-24-3.110313.10-0.39
15vsUNLVW38-214.39647.110.61
20vsWashingtonL10-3818.48162.00150

Usage & Situational · Pro

Snap-share proxy
Overall
16.7%
Passing plays
3.1%
Rushing plays
29.8%
Standard downs
21.2%
Passing downs
7.8%
EPA by down type
Standard downs
0.26
Passing downs
-0.13
Pass / Rush EPA
0.25 / 0.20

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.