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DJ Miller

#7DJ Miller

DJ Miller is a Slot Specialist WR for Kentucky.

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 Miller'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
13 Receptions175 Rec yards2 Rec TD13.5 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume12
  • Explosiveness43
  • Consistency37
  • Pass-Down0
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 consistency37th %ile · below 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 variance — boom-or-bust profile.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.45 EPA/play decline from first to second half.
  • Peak game: 2.04 EPA/play in Wk 9 vs Tennessee (SP+ 15).

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
Dane KinamonAir Force0.4100.716.0
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Javion PoseyFlorida Atlantic0.4501.423.8
Keytaon ThompsonVirginia0.3700.615.2

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 8 vs Texas: +0.63 EPA/play8Wk 9 vs Tennessee: +2.04 EPA/play9Wk 10 vs Auburn: -0.52 EPA/play10Wk 11 vs Florida: +0.69 EPA/play11Wk 12 vs Tennessee Tech: +1.20 EPA/play12Wk 13 vs Vanderbilt: -1.09 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
8vsTexasL13-1616.22136.5090.63
9vsTennesseeL34-5615.0512024.02562.04
10@AuburnW10-311.6133.003-0.52
11vsFloridaW38-73.522010.00140.69
12vsTennessee TechW42-1022110.50131.20
13@VanderbiltL17-4520.31-2-2.000-1.09

Usage & Situational · Pro

Snap-share proxy
Overall
4.3%
Passing plays
8.7%
Rushing plays
0.0%
Standard downs
3.6%
Passing downs
6.0%
EPA by down type
Standard downs
0.90
Passing downs
0.03
Pass / Rush EPA
0.49 / —

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.