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Matt Zollers

#5Matt Zollers

Matt Zollers is a Clutch Passer for Missouri.

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 Matt Zollers'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
47/88 Comp/Att503 Pass yards4 Pass TD2 INT53.4% Comp %
Rushing
-23 Rush yards0 Rush TD16 Carries-1.4 Yards/carry

Air yards

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

12
Attempts
-1.3y
Avg depth
17.2y
After catch
67%
Catch rate

The ball travels -1.3 yards in the air on an average throw 9.1 yards shorter than the median. Another 17.2 comes after the catch.

Where he throws

attempts · completion rate · yards
deep
0
0
0
short
3
67% · 8y
3
33% · 5y
6
83% · 74y
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
  • Volume61
  • Dual-Threat33
  • Consistency44
  • Clutch74
Player type
Clutch Passer

Elevates on passing downs — 3rd-and-medium, two-minute drills, and pressure situations are where this QB is best.

3rd-down precisionLate-game valueHigh passing-down EPA
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency44th %ile · below avg
Key findings
  • Below-average efficiency vs QB peers — value comes through volume, not per-play impact.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 1.09 EPA/play decline from first to second half.
  • Peak game: 2.27 EPA/play in Wk 1 vs Central Arkansas.

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

+2.2702.27Wk 1 vs Central Arkansas: +2.27 EPA/play1Wk 3 vs Louisiana: -0.02 EPA/play3Wk 5 vs Massachusetts: +0.46 EPA/play5Wk 9 vs Vanderbilt: +0.39 EPA/play9Wk 11 vs Texas A&M: -0.21 EPA/play11Wk 12 vs Mississippi State: -0.16 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsCentral ArkansasW61-63/35810100.02.27
3vsLouisianaW52-10-10.12/250010.1-40-0.02
5vsMassachusettsW42-6-36.61/1120075.9400.46
9@VanderbiltL10-1720.314/231381093.5400.39
11vsTexas A&ML17-3820.77/22770017.4-140-0.21
12vsMississippi StateW49-274.18/151122132.0-220-0.16
20vsVirginiaL7-1311.112/221010122.290

Usage & Situational · Pro

Snap-share proxy
Overall
21.4%
Passing plays
47.4%
Rushing plays
4.2%
Standard downs
14.6%
Passing downs
39.3%
EPA by down type
Standard downs
-0.09
Passing downs
0.07
Pass / Rush EPA
-0.02 / 0.06

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.
Matt Zollers Stats, EPA & Player Profile — Missouri · Gridpex