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Jaquez Moore

#9Jaquez Moore

RB·Duke·2025

Jaquez Moore is a Committee Back for Duke. Jaquez's 2025 season produced -3.6 total EPA across 49 plays.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Jaquez 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

Rushing
201 Rush yards1 Rush TD41 Carries4.9 Yards/carry
Receiving
5 Receptions41 Rec yards0 Rec TD8.2 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume26
  • Explosiveness38
  • Consistency34
  • Receiving53
Player type
Committee Back

Part of a rotation — contributes in a complementary role and keeps the featured back fresh.

Rotational roleSituational use
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency34th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • 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 — 0.09 EPA/play decline from first to second half.
  • Peak game: 0.48 EPA/play in Wk 2 vs Illinois (SP+ 13).

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

+1.1301.13Wk 1 vs Elon: -0.12 EPA/play1Wk 2 vs Illinois: +0.48 EPA/play2Wk 3 vs Tulane: -0.22 EPA/play3Wk 4 vs NC State: -0.99 EPA/play4Wk 5 vs Syracuse: -1.13 EPA/play5Wk 6 vs California: +0.11 EPA/play6Wk 11 vs UConn: +0.12 EPA/play11
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsElonW45-177446.31-0.12
2vsIllinoisL19-4512.96305.0044400.48
3@TulaneL27-346.311413.70-0.22
4vsNC StateW45-334.83-1-0.30-0.99
5@SyracuseW38-3-13.1100.00-1.13
6@CaliforniaW45-21-3.26569.300.11
11@UConnL34-375.15224.400.12
20vsArizona StateW42-393.9294.501-30

Usage & Situational · Pro

Snap-share proxy
Overall
9.0%
Passing plays
2.6%
Rushing plays
17.1%
Standard downs
9.7%
Passing downs
7.1%
EPA by down type
Standard downs
-0.13
Passing downs
0.14
Pass / Rush EPA
0.14 / -0.12

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.
Jaquez Moore Stats, EPA & Player Profile — Duke · Gridpex