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Brendan Sorsby

#2Brendan Sorsby

Brendan Sorsby is a 2-year Dual-Threat QB for Indiana. Brendan's 2023 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 303 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 Brendan Sorsby'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.

2023 Production

Passing
135/236 Comp/Att1582 Pass yards15 Pass TD5 INT57.2% Comp %
Rushing
291 Rush yards4 Rush TD113 Carries2.6 Yards/carry

Performance Analysis · 2023 · vs QB peers

  • Efficiency0
  • Volume100
  • Dual-Threat85
  • Consistency73
  • Clutch64
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 consistency73th %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.
  • High game-to-game consistency — reliable floor each week.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.18 from the first to second half of the season.
  • Peak game: 0.64 EPA/play in Wk 5 vs Maryland (SP+ 11).

NIL Market Tier· 2023

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

+0.6400.64Wk 1 vs Ohio State: +0.06 EPA/play1Wk 2 vs Indiana State: +0.29 EPA/play2Wk 5 vs Maryland: +0.64 EPA/play5Wk 7 vs Michigan: -0.07 EPA/play7Wk 8 vs Rutgers: -0.05 EPA/play8Wk 9 vs Penn State: +0.63 EPA/play9Wk 10 vs Wisconsin: +0.14 EPA/play10Wk 11 vs Illinois: +0.38 EPA/play11Wk 12 vs Michigan State: +0.34 EPA/play12Wk 13 vs Purdue: +0.28 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsOhio StateL3-2325.28/15580026.0-200.06
2vsIndiana StateW41-79/161080060.72800.29
5@MarylandL17-4411.07/11842095.32500.64
7@MichiganL7-5231.36/15440058.7300-0.07
8vsRutgersL14-313.515/311261044.7491-0.05
9@Penn StateL24-3323.513/192693179.8-300.63
10vsWisconsinW20-149.419/311861058.7810.14
11@IllinoisL45-48-2.522/332893171.95320.38
12vsMichigan StateL21-24-6.819/341922064.55900.34
13@PurdueL31-35-7.317/312263337.74400.28

Usage & Situational · Pro

Snap-share proxy
Overall
50.8%
Passing plays
77.3%
Rushing plays
27.1%
Standard downs
48.0%
Passing downs
57.8%
EPA by down type
Standard downs
0.22
Passing downs
0.34
Pass / Rush EPA
0.24 / 0.33

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.820−0.142025
EPA per play · 2024 — 2025 · 24 games
SeasonTeamLine valueTotal EPA
2024Cincinnati
4.8
183.2
2025Cincinnati
7.9
188.2

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.