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Khalil Wilkins

#4Khalil Wilkins

Khalil Wilkins is a Dual-Threat QB for West Virginia. Khalil's 2025 season ranks in the 3th percentile nationally by opponent-adjusted EPA per play across 58 plays — a developing rate for the QB.

What projects, and what doesn't · QBs · 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)0.46
    Beats guessing the QB average by 16%. n=2,421 QB seasons
  • EPA per play (efficiency)0.05
    Not projectable — we do not forecast this. n=1,965 QB seasons
  • Total EPA (value)0.51
    Beats guessing the QB average by 20%. n=1,965 QB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Khalil Wilkins'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

Passing
16/36 Comp/Att185 Pass yards1 Pass TD2 INT44.4% Comp %
Rushing
243 Rush yards2 Rush TD58 Carries4.2 Yards/carry

Performance Analysis · 2025 · vs QB peers

  • Efficiency3
  • Volume65
  • Dual-Threat65
  • Consistency0
  • Clutch100
Player type
Dual-Threat QB

A genuine rushing threat who stresses defenses horizontally. Extends plays with legs and forces extra gap assignments.

Rushing threatScrambles for valueStresses defensive structure
Peer percentiles
Opponent-adjusted EPA (WEPA/play)3th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs QB peers — value comes through volume, not per-play impact.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.42 EPA/play in Wk 4 vs Kansas (SP+ 4).

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

+0.6900.69Wk 1 vs Robert Morris: -0.69 EPA/play1Wk 4 vs Kansas: +0.42 EPA/play4Wk 5 vs Utah: +0.20 EPA/play5Wk 6 vs BYU: +0.23 EPA/play6Wk 8 vs UCF: +0.11 EPA/play8Wk 14 vs Texas Tech: -0.39 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsRobert MorrisW45-3310-0.69
4@KansasL10-414.13600.42
5vsUtahL14-4822.23/6631089.53900.20
6@BYUL24-3815.97/15810235.88910.23
8@UCFL13-45-1.25/10320041.84810.11
14vsTexas TechL0-4927.61/59002.500-0.39

Usage & Situational · Pro

Snap-share proxy
Overall
22.6%
Passing plays
24.0%
Rushing plays
21.9%
Standard downs
19.5%
Passing downs
29.4%
EPA by down type
Standard downs
0.02
Passing downs
0.63
Pass / Rush EPA
0.32 / 0.22

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.