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Joshua Moore

#3Joshua Moore

WR·Miami·2025

Joshua Moore is a Slot Specialist WR for Miami.

What projects, and what doesn't · WRs · 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)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

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

Receiving
17 Receptions210 Rec yards2 Rec TD12.4 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume8
  • Explosiveness36
  • Consistency63
  • Pass-Down100
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency63th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.48 from the first to second half of the season.
  • Peak game: 3.63 EPA/play in Wk 3 vs South Florida (SP+ 12).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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.

Historical Comparables · WR · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Quadree HendersonPittsburgh0.5301.633.4
DeAndre HughesAir Force0.4701.328.2
Savion WilliamsTCU0.4501.125.2
Keytaon ThompsonMississippi State0.4601.232.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+3.6303.63Wk 1 vs Notre Dame: -0.20 EPA/play1Wk 2 vs Bethune-Cookman: -0.10 EPA/play2Wk 3 vs South Florida: +3.63 EPA/play3Wk 9 vs Stanford: +0.85 EPA/play9Wk 11 vs Syracuse: +0.17 EPA/play11Wk 12 vs NC State: +1.47 EPA/play12Wk 13 vs Virginia Tech: +1.22 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNotre DameW27-2424.4284.008-0.20
2vsBethune-CookmanW45-3177.007-0.10
3vsSouth FloridaW49-1211.636120.32393.63
9vsStanfordW42-7-11.84389.50160.85
11vsSyracuseW38-10-13.111212.00120.17
12vsNC StateW41-74.825628.00321.47
13@Virginia TechW34-17-10.111212.00121.22
20vsOle MissW31-2724.011111.0011
20vsIndianaL21-2732.4111.001
20@Texas A&MW10-320.7144.004

Usage & Situational · Pro

Snap-share proxy
Overall
2.8%
Passing plays
6.0%
Rushing plays
0.0%
Standard downs
2.2%
Passing downs
4.8%
EPA by down type
Standard downs
0.22
Passing downs
1.49
Pass / Rush EPA
0.78 / —

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.