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J.J. Kohl

J.J. Kohl

J.J. Kohl is a Dual-Threat QB for App State. J.J.'s 2025 season ranks in the 8th percentile nationally by opponent-adjusted EPA per play across 230 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 J.J. Kohl'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
133/216 Comp/Att1465 Pass yards12 Pass TD2 INT61.6% Comp %
Rushing
50 Rush yards1 Rush TD30 Carries1.7 Yards/carry

Performance Analysis · 2025 · vs QB peers

  • Efficiency8
  • Volume100
  • Dual-Threat66
  • Consistency73
  • Clutch97
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)8th %ile · below avg
Game-to-game consistency73th %ile · average
Key findings
  • Below-average efficiency vs QB peers — value comes through volume, not per-play impact.
  • High-volume role — one of the team's most-used QBs by play share.
  • High game-to-game consistency — reliable floor each week.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.92 EPA/play in Wk 12 vs James Madison (SP+ 12).

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

+0.9200.92Wk 1 vs Charlotte: +0.05 EPA/play1Wk 6 vs Oregon State: +0.30 EPA/play6Wk 7 vs Georgia State: +0.63 EPA/play7Wk 8 vs Coastal Carolina: +0.48 EPA/play8Wk 9 vs Old Dominion: -0.23 EPA/play9Wk 12 vs James Madison: +0.92 EPA/play12Wk 13 vs Marshall: +0.30 EPA/play13Wk 14 vs Arkansas State: +0.46 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsCharlotteW34-11-26.72/4360087.80.05
6vsOregon StateW27-23-15.913/282181033.5-410.30
7@Georgia StateW41-20-24.521/323094090.5200.63
8vsCoastal CarolinaL37-45-15.127/412782063.32900.48
9@Old DominionL21-245.919/371381214.650-0.23
12@James MadisonL10-5812.36/8811098.90.92
13vsMarshallW26-24-4.519/271341031.1-1600.30
14vsArkansas StateL29-30-8.826/392712059.43400.46

Usage & Situational · Pro

Snap-share proxy
Overall
41.6%
Passing plays
68.4%
Rushing plays
7.7%
Standard downs
34.6%
Passing downs
55.1%
EPA by down type
Standard downs
0.19
Passing downs
0.47
Pass / Rush EPA
0.34 / 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.