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Omarion Miller

#4Omarion Miller

Omarion Miller is a Versatile WR for Arizona State.

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 Omarion 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.

2026 Production

Receiving
17 Receptions131 Rec yards1 Rec TD7.7 Yards/rec

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

9
Targets
3.8y
Avg depth
10.1y
After catch
89%
Catch rate

The ball travels 3.8 yards in the air on an average target 5.2 yards shorter than the median. Another 10.1 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
0
0
0
short
4
100% · 43y
0
5
80% · 59y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2026 · vs WR peers

  • Efficiency83
  • Volume51
  • Explosiveness5
  • Consistency50
  • Pass-Down100
Player type
Versatile WR

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)83th %ile · above avg
Key findings
  • Above-average efficiency for the WR position (83th percentile).
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 1.21 EPA/play in Wk 1 vs Morgan State.

NIL Market Tier· 2026

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Tyler BuchnerNotre Dame0.2500.312.8
Brandon ChatmanNavy0.2300.612.0
Justin LynchTemple0.2400.315.1
Samajie GrantArizona0.2500.315.5
Amare JonesTulane0.2300.813.3

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

Game Log · box score + EPA, week by week

+1.2101.21Wk 1 vs Morgan State: +1.21 EPA/play1Wk 2 vs Texas A&M: -0.38 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsMorgan StateW70-7810212.81251.21
2@Texas A&ML20-4823.99293.207-0.38

Usage & Situational · Pro

Snap-share proxy
Overall
17.8%
Passing plays
32.9%
Rushing plays
1.6%
Standard downs
19.6%
Passing downs
14.0%
EPA by down type
Standard downs
0.15
Passing downs
0.47
Pass / Rush EPA
0.27 / -0.91

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.
Omarion Miller Stats, EPA & Player Profile — Arizona State · Gridpex