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Christopher Vizzina
Christopher Vizzina

#17Christopher Vizzina

Christopher Vizzina is a Volume Passer for Clemson.

2026 Usage Outlook · projected share of team plays

33%
projected
band 15%'25 29%51%

Regressed toward the QB mean. Model correlation r≈0.46 on a 2019-2025 walk-forward — volume only; efficiency not projected.

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 Christopher Vizzina'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.

2026 Production

Passing
14/23 Comp/Att102 Pass yards1 Pass TD2 INT60.9% Comp %
Rushing
4 Rush yards0 Rush TD5 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.

21
Attempts
5.9y
Avg depth
5.1y
After catch
67%
Catch rate

The ball travels 5.9 yards in the air on an average throw 2.6 yards shorter than the median. Another 5.1 comes after the catch.

Where he throws

attempts · completion rate · yards
deep
1
0% · 0y
0
1
0% · 0y
short
7
71% · 59y
3
33% · 10y
9
89% · 33y
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 · 2026 · vs QB peers

  • Efficiency0
  • Volume63
  • Dual-Threat0
  • Consistency50
  • Clutch8
Player type
Volume Passer

High-rep offense that leans on this QB's arm — value comes through cumulative production across a high number of plays.

High play countFranchise-volume role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Key findings
  • Below-average efficiency vs QB peers — value comes through volume, not per-play impact.

NIL Market Tier· 2026

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

+0.3600.36Wk 1 vs LSU: -0.36 EPA/play1Wk 2 vs Georgia Southern: -0.06 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1@LSUL10-5123.310/16830140-0.36
2vsGeorgia SouthernW22-7-5.84/7191135.0-0.06

Usage & Situational · Pro

Snap-share proxy
Overall
22.0%
Passing plays
37.1%
Rushing plays
6.8%
Standard downs
20.5%
Passing downs
24.1%
EPA by down type
Standard downs
-0.37
Passing downs
-0.53
Pass / Rush EPA
-0.34 / -0.60

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.