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Jaylen McGill

#27Jaylen McGill

Jaylen McGill is a Pass-Catching Back for North 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 Jaylen McGill'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
19 Rush yards0 Rush TD7 Carries2.7 Yards/carry
Receiving
7 Receptions49 Rec yards0 Rec TD7.0 Yards/rec
Returns
8 Kick returns156 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume12
  • Explosiveness0
  • 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)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.
  • Production faded as the season progressed — 0.91 EPA/play decline from first to second half.
  • Peak game: 0.67 EPA/play in Wk 6 vs Clemson (SP+ 10).

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

+0.6800.68Wk 6 vs Clemson: +0.67 EPA/play6Wk 9 vs Virginia: +0.58 EPA/play9Wk 10 vs Syracuse: -0.09 EPA/play10Wk 11 vs Stanford: +0.07 EPA/play11Wk 12 vs Wake Forest: -0.68 EPA/play12Wk 14 vs NC State: -0.45 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsTCUL14-488.3
6vsClemsonL10-389.5133.0011100.67
8@CaliforniaL18-21-3.2
9vsVirginiaL16-1711.13144.7022300.58
10@SyracuseW27-10-13.13100-0.09
11vsStanfordW20-15-11.81500.07
12@Wake ForestL12-285.7210.50-0.68
14@NC StateL19-424.8111.00-0.45

Usage & Situational · Pro

Snap-share proxy
Overall
4.2%
Passing plays
4.5%
Rushing plays
4.2%
Standard downs
3.8%
Passing downs
5.2%
EPA by down type
Standard downs
-0.28
Passing downs
0.45
Pass / Rush EPA
0.07 / -0.12

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.