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Latrell Caples

#3Latrell Caples

Latrell Caples is a Slot Specialist WR for Boise State. Latrell's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 77 plays — a elite rate for the WR.

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 Latrell Caples'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
51 Receptions616 Rec yards3 Rec TD12.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume24
  • Explosiveness34
  • Consistency59
  • 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 consistency59th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.52 EPA/play decline from first to second half.
  • Peak game: 1.00 EPA/play in Wk 4 vs Air Force (SP+ -3).

NIL Market Tier· 2025

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.

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
Malik DunnerBall State0.2900.422.0
Noah ShortArmy0.3000.520.7
Chris TyreeNotre Dame0.3100.623.6
Xavier WhiteTexas Tech0.3000.518.6
Ainias SmithTexas A&M0.3100.517.0

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

Game Log · box score + EPA, week by week

+1.0001.00Wk 1 vs South Florida: +0.39 EPA/play1Wk 2 vs Eastern Washington: +0.39 EPA/play2Wk 4 vs Air Force: +1.00 EPA/play4Wk 5 vs App State: +0.88 EPA/play5Wk 6 vs Notre Dame: +0.34 EPA/play6Wk 8 vs UNLV: +0.36 EPA/play8Wk 9 vs Nevada: -0.06 EPA/play9Wk 10 vs Fresno State: -0.31 EPA/play10Wk 12 vs San Diego State: +0.22 EPA/play12Wk 13 vs Colorado State: +0.32 EPA/play13Wk 14 vs Utah State: +0.39 EPA/play14Wk 15 vs UNLV: -0.44 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@South FloridaL7-3411.645814.50160.39
2vsEastern WashingtonW51-1411111.00110.39
4@Air ForceW49-37-3.258717.40311.00
5vsApp StateW47-14-11.458416.82340.88
6@Notre DameL7-2824.46528.70130.34
8vsUNLVW56-314.3177.0170.36
9@NevadaW24-3-13.433511.7013-0.06
10vsFresno StateL7-301.811616.0016-0.31
12@San Diego StateL7-176.77426.00130.22
13vsColorado StateW49-21-15.677010.00160.32
14@Utah StateW25-24-3.135217.30230.39
15vsUNLVW38-214.333210.7017-0.44
20vsWashingtonL10-3818.457014.0022

Usage & Situational · Pro

Snap-share proxy
Overall
8.4%
Passing plays
17.3%
Rushing plays
0.4%
Standard downs
6.4%
Passing downs
12.4%
EPA by down type
Standard downs
0.09
Passing downs
0.57
Pass / Rush EPA
0.36 / -1.18

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.