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Hank Brown

#9Hank Brown

QB·Iowa·2025

Hank Brown is a Dual-Threat QB for Iowa.

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 Hank Brown'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
11/21 Comp/Att107 Pass yards1 Pass TD1 INT52.4% Comp %
Rushing
-3 Rush yards1 Rush TD3 Carries-1.0 Yards/carry

Air yards

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

20
Attempts
9.5y
Avg depth
5.0y
After catch
60%
Catch rate

The ball travels 9.5 yards in the air on an average throw 1.7 yards deeper than the median. Another 5.0 comes after the catch.

Where he throws

attempts · completion rate · yards
deep
1
0% · 0y
0
1
0% · 0y
short
7
57% · 54y
5
80% · 53y
6
67% · 22y
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 · 2025 · vs QB peers

  • Efficiency0
  • Volume34
  • Dual-Threat100
  • Consistency0
  • Clutch100
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 game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.74 EPA/play in Wk 3 vs Massachusetts (SP+ -37).

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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

+0.7400.74Wk 1 vs UAlbany: -0.57 EPA/play1Wk 3 vs Massachusetts: +0.74 EPA/play3Wk 5 vs Indiana: -0.15 EPA/play5
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsUAlbanyW34-71/14000.7-31-0.57
3vsMassachusettsW47-7-36.65/7551081.10.74
5vsIndianaL15-2032.45/13480124.6-0.15

Usage & Situational · Pro

Snap-share proxy
Overall
12.0%
Passing plays
24.7%
Rushing plays
2.5%
Standard downs
6.5%
Passing downs
27.3%
EPA by down type
Standard downs
-0.31
Passing downs
0.07
Pass / Rush EPA
-0.15 / 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.
Hank Brown Stats, EPA & Player Profile — Iowa · Gridpex