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Tyler Shough

#9Tyler Shough

Tyler Shough is a Dual-Threat QB for Texas Tech. Tyler's 2023 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 154 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 Tyler Shough'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
67/111 Comp/Att746 Pass yards7 Pass TD4 INT60.4% Comp %
Rushing
149 Rush yards2 Rush TD48 Carries3.1 Yards/carry

Performance Analysis · 2023 · vs QB peers

  • Efficiency0
  • Volume100
  • Dual-Threat88
  • Consistency0
  • Clutch47
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-volume role — one of the team's most-used QBs by play share.
  • High game-to-game variance — boom-or-bust profile.

NIL Market Tier· 2023

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

+0.3600.36Wk 1 vs Wyoming: +0.31 EPA/play1Wk 2 vs Oregon: +0.34 EPA/play2Wk 3 vs Tarleton State: -0.04 EPA/play3Wk 4 vs West Virginia: -0.36 EPA/play4
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1@WyomingL33-35-3.631/473383164.93600.31
2vsOregonL30-3826.224/382823364.310110.34
3vsTarleton StateW41-310/201231016.101-0.04
4@West VirginiaL13-207.52/63006.7120-0.36

Usage & Situational · Pro

Snap-share proxy
Overall
51.2%
Passing plays
68.0%
Rushing plays
30.5%
Standard downs
47.9%
Passing downs
59.1%
EPA by down type
Standard downs
0.21
Passing downs
0.24
Pass / Rush EPA
0.18 / 0.34

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.03+0.06
EPA per play · 2024 · 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.