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Mark Gronowski

#11Mark Gronowski

QB·Iowa·2025

Mark Gronowski is a Dual-Threat QB for Iowa. Mark's 2025 season ranks in the 15th percentile nationally by opponent-adjusted EPA per play across 366 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 Mark Gronowski'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
166/262 Comp/Att1741 Pass yards10 Pass TD7 INT63.4% Comp %
Rushing
545 Rush yards16 Rush TD130 Carries4.2 Yards/carry

Performance Analysis · 2025 · vs QB peers

  • Efficiency15
  • Volume100
  • Dual-Threat100
  • Consistency83
  • Clutch49
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)15th %ile · below avg
Game-to-game consistency83th %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.
  • Peak game: 0.63 EPA/play in Wk 14 vs Nebraska (SP+ 6).

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

+0.6300.63Wk 1 vs UAlbany: +0.34 EPA/play1Wk 2 vs Iowa State: +0.08 EPA/play2Wk 3 vs Massachusetts: +0.37 EPA/play3Wk 4 vs Rutgers: +0.51 EPA/play4Wk 5 vs Indiana: +0.27 EPA/play5Wk 7 vs Wisconsin: +0.06 EPA/play7Wk 8 vs Penn State: +0.49 EPA/play8Wk 9 vs Minnesota: +0.18 EPA/play9Wk 11 vs Oregon: +0.34 EPA/play11Wk 12 vs USC: +0.30 EPA/play12Wk 13 vs Michigan State: +0.10 EPA/play13Wk 14 vs Nebraska: +0.63 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsUAlbanyW34-78/15441024.53910.34
2@Iowa StateL13-169.913/24830129.23710.08
3vsMassachusettsW47-7-36.616/241792070.31210.37
4@RutgersW38-281.012/181860070.55530.51
5vsIndianaL15-2032.419/251440154.7710.27
7@WisconsinW37-0-4.417/241070136.7910.06
8vsPenn StateW25-2418.110/16680184.213020.49
9vsMinnesotaW41-31.512/191351070.52410.18
11vsOregonL16-1825.910/181381088.32510.34
12@USCL21-2616.912/191321168.73210.30
13vsMichigan StateW20-17-3.412/221471139.05700.10
14@NebraskaW40-166.29/161661093.26420.63
20vsVanderbiltW34-2720.316/222122179.5541

Usage & Situational · Pro

Snap-share proxy
Overall
48.6%
Passing plays
92.0%
Rushing plays
23.0%
Standard downs
44.9%
Passing downs
58.4%
EPA by down type
Standard downs
0.32
Passing downs
0.36
Pass / Rush EPA
0.27 / 0.58

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.