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Hunter Najm

#10Hunter Najm

Hunter Najm is a Dual-Threat QB for Bowling Green. Hunter's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 70 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 Hunter Najm'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
33/66 Comp/Att473 Pass yards5 Pass TD4 INT50.0% Comp %
Rushing
21 Rush yards0 Rush TD15 Carries1.4 Yards/carry

Performance Analysis · 2025 · vs QB peers

  • Efficiency0
  • Volume69
  • Dual-Threat100
  • Consistency34
  • Clutch76
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)0th %ile · below avg
Game-to-game consistency34th %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: 1.54 EPA/play in Wk 14 vs Massachusetts (SP+ -37).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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

+1.5401.54Wk 9 vs Kent State: +0.17 EPA/play9Wk 10 vs Buffalo: -0.32 EPA/play10Wk 11 vs Eastern Michigan: +0.37 EPA/play11Wk 13 vs Akron: -0.23 EPA/play13Wk 14 vs Massachusetts: +1.54 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
9@Kent StateL21-24-19.32/4300056.10.17
10vsBuffaloL3-28-7.54/1248017.7170-0.32
11@Eastern MichiganL21-27-14.711/151291185.7900.37
13vsAkronL16-19-13.99/26138126.1-50-0.23
14@MassachusettsW45-14-36.67/91283099.11.54

Usage & Situational · Pro

Snap-share proxy
Overall
24.3%
Passing plays
61.5%
Rushing plays
4.8%
Standard downs
16.1%
Passing downs
41.4%
EPA by down type
Standard downs
0.08
Passing downs
0.26
Pass / Rush EPA
0.21 / 0.44

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.