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Logan Loya

#17Logan Loya

WR·UCLA·2024

Logan Loya is a Slot Specialist WR for UCLA.

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 Logan Loya'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

Receiving
29 Receptions348 Rec yards4 Rec TD12.0 Yards/rec
Returns
1 Kick returns12 KR yards0 KR TD5 Punt returns56 PR yards0 PR TD

Performance Analysis · 2024 · vs WR peers

  • Efficiency100
  • Volume14
  • Explosiveness33
  • Consistency87
  • 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 consistency87th %ile · above avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • 9 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.27 EPA/play decline from first to second half.
  • Peak game: 2.37 EPA/play in Wk 11 vs Iowa (SP+ 16).

NIL Market Tier· 2024

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.

Game Log · box score + EPA, week by week

+2.3702.37Wk 3 vs Indiana: +2.09 EPA/play3Wk 4 vs LSU: +1.20 EPA/play4Wk 6 vs Penn State: +1.60 EPA/play6Wk 7 vs Minnesota: +1.68 EPA/play7Wk 8 vs Rutgers: +1.22 EPA/play8Wk 10 vs Nebraska: +1.14 EPA/play10Wk 11 vs Iowa: +2.37 EPA/play11Wk 12 vs Washington: -0.04 EPA/play12Wk 13 vs USC: +1.25 EPA/play13Wk 14 vs Fresno State: +2.12 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Hawai'iW16-13-10.9
3vsIndianaL13-4220.1166.0062.09
4@LSUL17-3415.944611.51161.20
6@Penn StateL11-2724.66579.51181.60
7vsMinnesotaL17-2110.444511.30171.68
8@RutgersW35-326.43279.01141.22
10@NebraskaW27-205.52199.50171.14
11vsIowaW20-1715.859418.81292.37
12@WashingtonL19-313.1155.005-0.04
13vsUSCL13-1911.9199.0091.25
14vsFresno StateW20-13-3.824020.00212.12

Usage & Situational · Pro

Snap-share proxy
Overall
4.9%
Passing plays
8.6%
Rushing plays
0.0%
Standard downs
3.9%
Passing downs
6.9%
EPA by down type
Standard downs
1.24
Passing downs
1.87
Pass / Rush EPA
1.56 / —

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.