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Braylin Presley

#1Braylin Presley

RB·Tulsa·2025

Braylin Presley is a Pass-Catching Back for Tulsa. Braylin's 2025 season ranks in the 78th percentile nationally by opponent-adjusted EPA per play across 60 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 Braylin Presley'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
215 Rush yards1 Rush TD32 Carries6.7 Yards/carry
Receiving
18 Receptions115 Rec yards1 Rec TD6.4 Yards/rec
Returns
9 Kick returns162 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency78
  • Volume20
  • Explosiveness74
  • Consistency0
  • Receiving100
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)78th %ile · above avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Above-average efficiency for the RB position (78th percentile).
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • 5 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 — 0.37 EPA/play decline from first to second half.
  • Peak game: 1.17 EPA/play in Wk 4 vs Oklahoma State (SP+ -15).

NIL Market Tier· 2025

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.

Game Log · box score + EPA, week by week

+1.1701.17Wk 1 vs Abilene Christian: +0.25 EPA/play1Wk 2 vs New Mexico State: +0.29 EPA/play2Wk 3 vs Navy: +0.75 EPA/play3Wk 4 vs Oklahoma State: +1.17 EPA/play4Wk 5 vs Tulane: -0.09 EPA/play5Wk 6 vs Memphis: -0.21 EPA/play6Wk 8 vs East Carolina: -0.85 EPA/play8Wk 9 vs Temple: +0.46 EPA/play9Wk 11 vs Florida Atlantic: -1.09 EPA/play11Wk 12 vs Oregon State: +0.70 EPA/play12Wk 14 vs UAB: +0.76 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsAbilene ChristianW35-77466.603700.25
2@New Mexico StateL14-21-15.55142.8043700.29
3vsNavyL23-426.223919.501-200.75
4@Oklahoma StateW19-12-15.133210.7023411.17
5vsTulaneL14-316.3188.00250-0.09
6@MemphisL7-457.6482.00310-0.21
8@East CarolinaL27-418.0221.00140-0.85
9vsTempleL37-38-5.1294.5012200.46
11@Florida AtlanticL21-40-8.7170-1.09
12vsOregon StateW31-14-15.911111.000.70
13@ArmyW26-250.8
14vsUABL24-31-15.85469.210.76

Usage & Situational · Pro

Snap-share proxy
Overall
7.0%
Passing plays
6.4%
Rushing plays
7.8%
Standard downs
8.1%
Passing downs
4.7%
EPA by down type
Standard downs
0.19
Passing downs
0.50
Pass / Rush EPA
0.14 / 0.34

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.