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Conner Weigman

#1Conner Weigman

QB·Houston·20256.0 pts line valueDay 3 (Rds 4–7)

Conner Weigman is a Dual-Threat QB for Houston. Conner's 2025 season ranks in the 30th percentile nationally by opponent-adjusted EPA per play across 532 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.

2025 Production

Passing
232/356 Comp/Att2705 Pass yards25 Pass TD9 INT65.2% Comp %
Rushing
703 Rush yards11 Rush TD170 Carries4.1 Yards/carry

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

29
Attempts
10.8y
Avg depth
7.0y
After catch
69%
Catch rate

The ball travels 10.8 yards in the air on an average throw 3.0 yards deeper than the median. Another 7.0 comes after the catch.

Where he throws

attempts · completion rate · yards
deep
2
100% · 84y
0
2
0% · 0y
short
12
83% · 64y
4
50% · 40y
9
67% · 117y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs QB peers

  • Efficiency30
  • Volume100
  • Dual-Threat59
  • Consistency79
  • Clutch66
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)30th %ile · below avg
Game-to-game consistency79th %ile · above avg
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.
  • 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 — 0.10 EPA/play decline from first to second half.
  • Peak game: 0.69 EPA/play in Wk 8 vs Arizona (SP+ 12).

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.

Historical Comparables · QB · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Jordan TravisFlorida State0.47610.1328.3

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+0.6900.69Wk 1 vs Stephen F. Austin: +0.34 EPA/play1Wk 2 vs Rice: +0.33 EPA/play2Wk 3 vs Colorado: +0.41 EPA/play3Wk 5 vs Oregon State: +0.15 EPA/play5Wk 6 vs Texas Tech: +0.03 EPA/play6Wk 7 vs Oklahoma State: +0.44 EPA/play7Wk 8 vs Arizona: +0.69 EPA/play8Wk 9 vs Arizona State: +0.35 EPA/play9Wk 10 vs West Virginia: +0.16 EPA/play10Wk 11 vs UCF: -0.03 EPA/play11Wk 13 vs TCU: +0.15 EPA/play13Wk 14 vs Baylor: +0.27 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsStephen F. AustinW27-015/241593074.73900.34
2@RiceW35-9-14.815/221881056.72310.33
3vsColoradoW36-20-8.315/242220075.78320.41
5@Oregon StateW27-24-15.920/362702139.7-110.15
6vsTexas TechL11-3527.65/12710127.0700.03
7@Oklahoma StateW39-17-15.121/303062072.2-310.44
8vsArizonaW31-2812.015/231643094.59810.69
9@Arizona StateW24-163.917/222011086.511120.35
10vsWest VirginiaL35-45-6.825/353094244.0-2710.16
11@UCFW30-27-1.220/312232346.4820-0.03
13vsTCUL14-178.315/291612146.311400.15
14@BaylorW31-241.421/312011175.912120.27
20vsLSUW38-3510.328/372304092.8560

Usage & Situational · Pro

Snap-share proxy
Overall
55.5%
Passing plays
94.5%
Rushing plays
28.2%
Standard downs
50.8%
Passing downs
66.4%
EPA by down type
Standard downs
0.25
Passing downs
0.38
Pass / Rush EPA
0.35 / 0.20

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.