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Aidan Mizell

#1Aidan Mizell

Aidan Mizell is a Versatile WR for Florida.

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 Aidan Mizell'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
19 Receptions177 Rec yards1 Rec TD9.3 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness15
  • Consistency69
  • 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)100th %ile · elite
Game-to-game consistency69th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 5 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 — 0.81 EPA/play decline from first to second half.
  • Peak game: 2.26 EPA/play in Wk 3 vs LSU (SP+ 10).

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
Keytaon ThompsonMississippi State0.4601.232.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+2.2602.26Wk 2 vs South Florida: +1.18 EPA/play2Wk 3 vs LSU: +2.26 EPA/play3Wk 6 vs Texas: +0.07 EPA/play6Wk 8 vs Mississippi State: +0.58 EPA/play8Wk 11 vs Kentucky: -0.22 EPA/play11Wk 12 vs Ole Miss: +0.41 EPA/play12Wk 14 vs Florida State: +0.89 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsSouth FloridaL16-1811.62189.00101.18
3@LSUL10-2010.334113.71222.26
6vsTexasW29-2116.24184.5090.07
8vsMississippi StateW23-214.123015.00180.58
11@KentuckyL7-381.82105.006-0.22
12@Ole MissL24-3424.03144.70130.41
14vsFlorida StateW40-217.234615.30230.89

Usage & Situational · Pro

Snap-share proxy
Overall
5.2%
Passing plays
10.2%
Rushing plays
0.0%
Standard downs
4.9%
Passing downs
6.0%
EPA by down type
Standard downs
0.28
Passing downs
1.42
Pass / Rush EPA
0.66 / —

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.