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Gaston Moore

#3Gaston Moore

Gaston Moore is a Clutch Passer for South Florida. Gaston's 2025 season produced 7.3 total EPA across 37 plays.

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 Gaston Moore'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
34/48 Comp/Att290 Pass yards2 Pass TD2 INT70.8% Comp %
Rushing
-9 Rush yards0 Rush TD15 Carries-0.6 Yards/carry

Performance Analysis · 2025 · vs QB peers

  • Efficiency0
  • Volume36
  • Dual-Threat0
  • Consistency7
  • Clutch93
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 consistency7th %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.
  • Production faded as the season progressed — 0.40 EPA/play decline from first to second half.
  • Peak game: 1.17 EPA/play in Wk 6 vs Charlotte (SP+ -27).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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

+1.1701.17Wk 3 vs Miami: -0.10 EPA/play3Wk 4 vs South Carolina State: +0.09 EPA/play4Wk 6 vs Charlotte: +1.17 EPA/play6Wk 8 vs Florida Atlantic: -0.10 EPA/play8Wk 11 vs UTSA: -0.53 EPA/play11Wk 14 vs Rice: +0.51 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
3@MiamiL12-4920.74/5180073.0-0.10
4vsSouth Carolina StateW63-144/6160033.2800.09
6vsCharlotteW54-26-26.71/11300100.01.17
8vsFlorida AtlanticW48-13-8.71/17004.610-0.10
11vsUTSAW55-233.72/3-6000.0-140-0.53
14vsRiceW52-3-14.82/461087.41700.51
20vsOld DominionL10-245.920/282361249.5-210

Usage & Situational · Pro

Snap-share proxy
Overall
12.5%
Passing plays
23.3%
Rushing plays
4.3%
Standard downs
11.2%
Passing downs
15.5%
EPA by down type
Standard downs
0.08
Passing downs
0.34
Pass / Rush EPA
0.35 / -0.79

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.