Skip to content
Oscar Adaway III
Oscar Adaway III

#27Oscar Adaway III

Oscar Adaway III is a Pass-Catching Back for South Carolina.

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 Oscar Adaway III'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
140 Rush yards1 Rush TD41 Carries3.4 Yards/carry
Receiving
8 Receptions72 Rec yards0 Rec TD9.0 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume24
  • Explosiveness8
  • Consistency0
  • Receiving95
Player type
Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.18 from the first to second half of the season.
  • Peak game: 0.43 EPA/play in Wk 13 vs Coastal Carolina (SP+ -15).

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

+0.4300.43Wk 1 vs Virginia Tech: +0.06 EPA/play1Wk 2 vs South Carolina State: -0.06 EPA/play2Wk 3 vs Vanderbilt: +0.07 EPA/play3Wk 4 vs Missouri: +0.01 EPA/play4Wk 5 vs Kentucky: -0.25 EPA/play5Wk 7 vs LSU: -0.32 EPA/play7Wk 8 vs Oklahoma: +0.34 EPA/play8Wk 9 vs Alabama: +0.36 EPA/play9Wk 10 vs Ole Miss: -0.10 EPA/play10Wk 13 vs Coastal Carolina: +0.43 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsVirginia TechW24-11-10.114604.3022300.06
2vsSouth Carolina StateW38-107202.91120-0.06
3vsVanderbiltL7-3120.3166.000.07
4@MissouriL20-2914.4372.3011400.01
5vsKentuckyW35-131.87263.70170-0.25
7@LSUL10-2010.3122.00-0.32
8vsOklahomaL7-2618.32-2-1.0011900.34
9vsAlabamaL22-2914.8284.000.36
10@Ole MissL14-3024.0144.00180-0.10
13vsCoastal CarolinaW51-7-15.1393.001-100.43

Usage & Situational · Pro

Snap-share proxy
Overall
8.4%
Passing plays
4.4%
Rushing plays
12.3%
Standard downs
7.5%
Passing downs
10.2%
EPA by down type
Standard downs
-0.08
Passing downs
0.13
Pass / Rush EPA
0.46 / -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.