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Cyncir Bowers

#23Cyncir Bowers

Cyncir Bowers is a Pass-Catching Back for West Virginia. Cyncir's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 68 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 Cyncir Bowers'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
249 Rush yards2 Rush TD63 Carries4.0 Yards/carry
Receiving
8 Receptions134 Rec yards1 Rec TD16.8 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume30
  • Explosiveness20
  • Consistency51
  • Receiving75
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 consistency51th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.

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

+1.2601.26Wk 1 vs Robert Morris: +0.34 EPA/play1Wk 2 vs Ohio: -1.26 EPA/play2Wk 3 vs Pittsburgh: -0.41 EPA/play3Wk 4 vs Kansas: -0.03 EPA/play4Wk 8 vs UCF: -0.08 EPA/play8Wk 9 vs TCU: -0.53 EPA/play9Wk 10 vs Houston: +0.12 EPA/play10Wk 11 vs Colorado: -0.57 EPA/play11Wk 12 vs Arizona State: +0.23 EPA/play12Wk 14 vs Texas Tech: -0.65 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsRobert MorrisW45-36549.010.34
2@OhioL10-17-4.01-1-1.00-1.26
3vsPittsburghW31-248.4133.00-0.41
4@KansasL10-414.1561.202260-0.03
8@UCFL13-45-1.212413.402110-0.08
9vsTCUL17-238.3231.50-0.53
10@HoustonW45-357.49657.210.12
11vsColoradoW29-22-8.39333.70140-0.57
12@Arizona StateL23-253.913423.2028910.23
14vsTexas TechL0-4927.6530.60140-0.65

Usage & Situational · Pro

Snap-share proxy
Overall
10.6%
Passing plays
4.4%
Rushing plays
15.9%
Standard downs
12.3%
Passing downs
6.8%
EPA by down type
Standard downs
-0.24
Passing downs
0.38
Pass / Rush EPA
0.41 / -0.23

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.