Skip to content
Eli Holstein

#10Eli Holstein

Eli Holstein is a Dual-Threat QB for Pittsburgh. Eli's 2025 season ranks in the 35th percentile nationally by opponent-adjusted EPA per play across 137 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 Eli Holstein'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
77/125 Comp/Att1081 Pass yards12 Pass TD6 INT61.6% Comp %
Rushing
88 Rush yards1 Rush TD36 Carries2.4 Yards/carry

Performance Analysis · 2025 · vs QB peers

  • Efficiency35
  • Volume93
  • Dual-Threat78
  • Consistency0
  • Clutch90
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)35th %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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 1.32 EPA/play decline from first to second half.
  • Peak game: 0.70 EPA/play in Wk 2 vs Central Michigan (SP+ -9).

NIL Market Tier· 2025

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

+2.3802.38Wk 1 vs Duquesne: +0.66 EPA/play1Wk 2 vs Central Michigan: +0.70 EPA/play2Wk 3 vs West Virginia: +0.17 EPA/play3Wk 5 vs Louisville: +0.07 EPA/play5Wk 6 vs Boston College: -0.01 EPA/play6Wk 9 vs NC State: -2.38 EPA/play9Wk 12 vs Notre Dame: -0.05 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsDuquesneW61-915/232154174.44100.66
2vsCentral MichiganW45-17-8.821/283044189.93600.70
3@West VirginiaL24-31-6.822/373031128.5-2710.17
5vsLouisvilleL27-3412.414/262282235.51900.07
6vsBoston CollegeW48-7-8.52/480027.0140-0.01
9vsNC StateW53-344.80/10010.040-2.38
12vsNotre DameL15-3724.43/6231078.410-0.05

Usage & Situational · Pro

Snap-share proxy
Overall
32.4%
Passing plays
44.9%
Rushing plays
14.0%
Standard downs
30.2%
Passing downs
36.9%
EPA by down type
Standard downs
0.27
Passing downs
0.52
Pass / Rush EPA
0.42 / 0.29

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

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