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AJ Bianco

#10AJ Bianco

AJ Bianco is a Dual-Threat QB for Nevada.

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 AJ Bianco'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
27/45 Comp/Att188 Pass yards1 Pass TD1 INT60.0% Comp %
Rushing
10 Rush yards0 Rush TD13 Carries0.8 Yards/carry

Air yards

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

19
Attempts
9.1y
Avg depth
5.1y
After catch
63%
Catch rate

The ball travels 9.1 yards in the air on an average throw 0.6 yards deeper than the median. Another 5.1 comes after the catch.

Where he throws

attempts · completion rate · yards
deep
1
100% · 28y
1
0% · 0y
1
0% · 0y
short
6
67% · 29y
7
57% · 46y
3
100% · 13y
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
  • Volume40
  • Dual-Threat76
  • Consistency0
  • Clutch37
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.
  • Production faded as the season progressed — 1.50 EPA/play decline from first to second half.
  • Peak game: 2.15 EPA/play in Wk 4 vs Western Kentucky (SP+ 2).

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

+2.1502.15Wk 1 vs Penn State: +0.60 EPA/play1Wk 3 vs Middle Tennessee: -0.22 EPA/play3Wk 4 vs Western Kentucky: +2.15 EPA/play4Wk 6 vs Fresno State: -0.64 EPA/play6Wk 9 vs Boise State: -1.66 EPA/play9Wk 11 vs Utah State: -0.20 EPA/play11Wk 14 vs UNLV: -0.10 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1@Penn StateL11-4618.14/6281098.31200.60
3vsMiddle TennesseeL13-14-16.09/1778019.2-10-0.22
4@Western KentuckyL16-311.6702.15
6@Fresno StateL17-201.81/2-4000.800-0.64
9vsBoise StateL3-243.11/10000.0-1.66
11@Utah StateL14-51-3.16/1143002.6-80-0.20
14vsUNLVL17-424.36/8430028.100-0.10

Usage & Situational · Pro

Snap-share proxy
Overall
14.0%
Passing plays
25.6%
Rushing plays
3.8%
Standard downs
11.2%
Passing downs
19.2%
EPA by down type
Standard downs
-0.24
Passing downs
-0.25
Pass / Rush EPA
-0.33 / 0.28

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.