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Justin Lamson

#8Justin Lamson

Justin Lamson is a Dual-Threat QB for Stanford. Justin's 2024 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 76 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 Justin Lamson'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.

2024 Production

Passing
24/47 Comp/Att300 Pass yards4 Pass TD2 INT51.1% Comp %
Rushing
94 Rush yards8 Rush TD68 Carries1.4 Yards/carry

Performance Analysis · 2024 · vs QB peers

  • Efficiency0
  • Volume39
  • Dual-Threat100
  • Consistency0
  • Clutch0
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 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.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.24 EPA/play decline from first to second half.
  • Peak game: 2.32 EPA/play in Wk 1 vs TCU (SP+ 11).

NIL Market Tier· 2024

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

+3.3503.35Wk 1 vs TCU: +2.32 EPA/play1Wk 2 vs Cal Poly: +0.02 EPA/play2Wk 4 vs Syracuse: +0.34 EPA/play4Wk 5 vs Clemson: -0.12 EPA/play5Wk 6 vs Virginia Tech: -0.26 EPA/play6Wk 7 vs Notre Dame: +0.31 EPA/play7Wk 8 vs SMU: -3.35 EPA/play8Wk 9 vs Wake Forest: +0.94 EPA/play9Wk 10 vs NC State: +0.11 EPA/play10Wk 12 vs Louisville: +1.75 EPA/play12Wk 13 vs California: +0.65 EPA/play13Wk 14 vs San José State: +1.07 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsTCUL27-3410.81/1210100.0312.32
2vsCal PolyW41-71110.02
4@SyracuseW26-245.5200.34
5@ClemsonL14-4013.34/8541010.9-110-0.12
6vsVirginia TechL7-3110.013/241030120.2360-0.26
7@Notre DameL7-4923.92/4130083.7210.31
8vsSMUL10-4017.500-3.35
9vsWake ForestL24-27-5.7110.94
10@NC StateL28-593.93/81031117.32510.11
12vsLouisvilleW38-3513.61/12510100.0301.75
13@CaliforniaL21-244.00/100082.11420.65
14@San José StateL31-34-5.5811.07

Usage & Situational · Pro

Snap-share proxy
Overall
13.6%
Passing plays
12.7%
Rushing plays
14.5%
Standard downs
13.8%
Passing downs
13.0%
EPA by down type
Standard downs
0.43
Passing downs
-0.35
Pass / Rush EPA
-0.20 / 0.47

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.