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Ayo Adeyi

#25Ayo Adeyi

Ayo Adeyi is a Explosive Back for North Texas. Ayo's 2023 season ranks in the 80th percentile nationally by opponent-adjusted EPA per play across 143 plays — a above-average 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 Ayo Adeyi'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.

2023 Production

Rushing
1017 Rush yards6 Rush TD143 Carries7.1 Yards/carry
Receiving
7 Receptions52 Rec yards0 Rec TD7.4 Yards/rec

Performance Analysis · 2023 · vs RB peers

  • Efficiency80
  • Volume47
  • Explosiveness82
  • Consistency70
  • Receiving19
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)80th %ile · above avg
Game-to-game consistency70th %ile · average
Key findings
  • Above-average efficiency for the RB position (80th percentile).
  • High game-to-game consistency — reliable floor each week.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.56 EPA/play in Wk 3 vs Louisiana Tech (SP+ -13).

NIL Market Tier· 2023

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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
Travis EtienneClemson0.4704.7100.1
Saquon BarkleyPenn State0.3403.997.9
Clyde Edwards-HelaireLSU0.4905.0105.8
Dalvin CookFlorida State0.3404.399.3
Saquon BarkleyPenn State0.4105.298.4

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

Game Log · box score + EPA, week by week

+0.5600.56Wk 1 vs California: -0.04 EPA/play1Wk 2 vs Florida International: -0.27 EPA/play2Wk 3 vs Louisiana Tech: +0.56 EPA/play3Wk 5 vs Abilene Christian: +0.50 EPA/play5Wk 6 vs Navy: +0.54 EPA/play6Wk 7 vs Temple: +0.47 EPA/play7Wk 8 vs Tulane: -0.06 EPA/play8Wk 9 vs Memphis: +0.50 EPA/play9Wk 10 vs UTSA: +0.30 EPA/play10Wk 11 vs SMU: +0.08 EPA/play11Wk 12 vs Tulsa: +0.26 EPA/play12Wk 13 vs UAB: +0.41 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsCaliforniaL21-58-0.1284.00150-0.04
2@Florida InternationalL39-46-21.28263.30-0.27
3@Louisiana TechW40-37-12.9191487.821700.56
5vsAbilene ChristianW45-31131108.5011500.50
6@NavyL24-27-13.7141258.910.54
7vsTempleW45-14-21.08648.000.47
8@TulaneL28-352.87263.71-0.06
9vsMemphisL42-453.51010410.400.50
10vsUTSAL29-375.4171056.2011500.30
11@SMUL21-4510.111484.401200.08
12@TulsaW35-28-13.7161217.601300.26
13vsUABW45-42-14.7181327.321500.41

Usage & Situational · Pro

Snap-share proxy
Overall
16.5%
Passing plays
1.7%
Rushing plays
34.3%
Standard downs
19.6%
Passing downs
10.0%
EPA by down type
Standard downs
0.31
Passing downs
0.56
Pass / Rush EPA
0.23 / 0.37

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.