Skip to content
DJ Allen

DJ Allen

WR·UTSA·2025

DJ Allen is a Slot Specialist WR for UTSA.

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 DJ Allen'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
20 Receptions189 Rec yards3 Rec TD9.4 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume10
  • Explosiveness16
  • Consistency72
  • Pass-Down71
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 consistency72th %ile · average
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.
  • 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 0.19 from the first to second half of the season.
  • Peak game: 2.04 EPA/play in Wk 13 vs East Carolina (SP+ 8).

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
Dane KinamonAir Force0.4100.716.0
Javion PoseyFlorida Atlantic0.4501.423.8

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

Game Log · box score + EPA, week by week

+2.0402.04Wk 1 vs Texas A&M: +1.70 EPA/play1Wk 2 vs Texas State: +0.62 EPA/play2Wk 3 vs Incarnate Word: -0.10 EPA/play3Wk 7 vs Rice: +1.47 EPA/play7Wk 13 vs East Carolina: +2.04 EPA/play13Wk 14 vs Army: -0.19 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Texas A&ML24-4220.711414.00141.70
2vsTexas StateL36-432.32105.0190.62
3vsIncarnate WordW48-207294.1011-0.10
7vsRiceW61-13-14.835317.71431.47
13vsEast CarolinaW58-248.034615.31332.04
14vsArmyL24-270.8133.003-0.19
20vsFlorida InternationalW57-20-10.533411.3021

Usage & Situational · Pro

Snap-share proxy
Overall
3.6%
Passing plays
7.0%
Rushing plays
0.0%
Standard downs
2.6%
Passing downs
5.8%
EPA by down type
Standard downs
0.49
Passing downs
0.62
Pass / Rush EPA
0.56 / —

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.