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Matthew Sluka

#9Matthew Sluka

QB·UNLV·2024

Matthew Sluka is a Dual-Threat QB for UNLV. Matthew's 2024 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 83 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 Matthew Sluka'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.

2024 Production

Passing
21/48 Comp/Att318 Pass yards6 Pass TD1 INT43.8% Comp %
Rushing
253 Rush yards1 Rush TD39 Carries6.5 Yards/carry

Performance Analysis · 2024 · vs QB peers

  • Efficiency0
  • Volume100
  • Dual-Threat100
  • Consistency71
  • 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 consistency71th %ile · average
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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.81 EPA/play in Wk 2 vs Utah Tech.

NIL Market Tier· 2024

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

+0.8100.81Wk 1 vs Houston: +0.21 EPA/play1Wk 2 vs Utah Tech: +0.81 EPA/play2Wk 3 vs Kansas: +0.02 EPA/play3
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1@HoustonW27-7-8.26/13712157.85900.21
2vsUtah TechW72-148/171613094.47010.81
3vsKansasW23-204.97/18861066.012400.02

Usage & Situational · Pro

Snap-share proxy
Overall
41.9%
Passing plays
96.3%
Rushing plays
22.1%
Standard downs
33.8%
Passing downs
63.6%
EPA by down type
Standard downs
0.21
Passing downs
0.51
Pass / Rush EPA
0.09 / 0.71

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.
Matthew Sluka Stats, EPA & Player Profile — Unlv · Gridpex