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Colton Joseph

#1Colton Joseph

Colton Joseph is a Volume Passer for Wisconsin. Colton's 2026 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 59 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 Colton Joseph'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.

2026 Production

Passing
31/52 Comp/Att390 Pass yards2 Pass TD1 INT59.6% Comp %
Rushing
36 Rush yards0 Rush TD16 Carries2.3 Yards/carry

Air yards

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

51
Attempts
6.0y
Avg depth
8.2y
After catch
61%
Catch rate

The ball travels 6.0 yards in the air on an average throw 2.5 yards shorter than the median. Another 8.2 comes after the catch.

Where he throws

attempts · completion rate · yards
deep
1
100% · 51y
1
0% · 0y
1
100% · 28y
short
19
63% · 118y
4
50% · 12y
25
60% · 181y
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 · 2026 · vs QB peers

  • Efficiency0
  • Volume100
  • Dual-Threat20
  • Consistency50
  • Clutch13
Player type
Volume Passer

High-rep offense that leans on this QB's arm — value comes through cumulative production across a high number of plays.

High play countFranchise-volume role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below 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.
  • Peak game: 0.43 EPA/play in Wk 2 vs Western Illinois.

NIL Market Tier· 2026

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

+0.4300.43Wk 1 vs Notre Dame: +0.16 EPA/play1Wk 2 vs Western Illinois: +0.43 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsNotre DameL13-4126.819/302171181.8300.16
2vsWestern IllinoisW36-912/22173103300.43

Usage & Situational · Pro

Snap-share proxy
Overall
56.9%
Passing plays
98.1%
Rushing plays
23.7%
Standard downs
52.6%
Passing downs
65.0%
EPA by down type
Standard downs
0.31
Passing downs
0.17
Pass / Rush EPA
0.33 / 0.00

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.810−0.05
EPA per play · 2025 · 12 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.