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Conner Weigman

#1Conner Weigman

Conner Weigman is a Dual-Threat QB for Texas A&M. Conner's 2024 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 130 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 Conner Weigman'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
64/114 Comp/Att819 Pass yards3 Pass TD5 INT56.1% Comp %
Rushing
101 Rush yards0 Rush TD28 Carries3.6 Yards/carry

Performance Analysis · 2024 · vs QB peers

  • Efficiency0
  • Volume100
  • Dual-Threat100
  • Consistency54
  • 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)0th %ile · below avg
Game-to-game consistency54th %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.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.26 EPA/play decline from first to second half.
  • Peak game: 0.67 EPA/play in Wk 2 vs McNeese.

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

+0.6700.67Wk 1 vs Notre Dame: -0.09 EPA/play1Wk 2 vs McNeese: +0.67 EPA/play2Wk 6 vs Missouri: +0.66 EPA/play6Wk 8 vs Mississippi State: +0.66 EPA/play8Wk 9 vs LSU: -0.47 EPA/play9Wk 12 vs New Mexico State: +0.27 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsNotre DameL13-2323.912/301000231.8260-0.09
2vsMcNeeseW52-1011/141252072.53900.67
6vsMissouriW41-1014.018/222760093.73300.66
8@Mississippi StateW34-24-4.115/252171267.21400.66
9vsLSUW38-2315.96/18640012.9-140-0.47
12vsNew Mexico StateW38-3-19.02/537013.2300.27

Usage & Situational · Pro

Snap-share proxy
Overall
35.8%
Passing plays
70.3%
Rushing plays
9.0%
Standard downs
35.6%
Passing downs
36.1%
EPA by down type
Standard downs
0.07
Passing downs
0.55
Pass / Rush EPA
0.16 / 0.55

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.760−0.10
EPA per play · 2025 · 13 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.