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Cole Weaver

#11Cole Weaver

Cole Weaver is a Versatile WR for Miami (OH). Cole's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 73 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 Cole Weaver'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
45 Receptions642 Rec yards1 Rec TD14.3 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume24
  • Explosiveness48
  • Consistency68
  • 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 consistency68th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 6 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 — 0.28 EPA/play decline from first to second half.
  • Peak game: 1.56 EPA/play in Wk 6 vs Northern Illinois (SP+ -17).

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
Zach AbeyNavy0.3700.825.9
Micah DavisAir Force0.3700.616.3
Dane KinamonAir Force0.4100.716.0
Keytaon ThompsonVirginia0.3700.615.2
JoJo NatsonUtah State0.3901.019.9

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

Game Log · box score + EPA, week by week

+1.5601.56Wk 1 vs Wisconsin: +0.56 EPA/play1Wk 2 vs Rutgers: +0.01 EPA/play2Wk 5 vs Lindenwood: -0.32 EPA/play5Wk 6 vs Northern Illinois: +1.56 EPA/play6Wk 8 vs Eastern Michigan: +1.55 EPA/play8Wk 9 vs Western Michigan: +0.82 EPA/play9Wk 11 vs Ohio: +1.12 EPA/play11Wk 12 vs Toledo: +0.00 EPA/play12Wk 13 vs Buffalo: +0.39 EPA/play13Wk 14 vs Ball State: +0.54 EPA/play14Wk 15 vs Western Michigan: +0.03 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@WisconsinL0-17-4.433511.70200.56
2@RutgersL17-451.0199.0090.01
5vsLindenwoodW38-011010.0010-0.32
6@Northern IllinoisW25-14-16.756713.40221.56
8vsEastern MichiganW44-30-14.723417.00181.55
9vsWestern MichiganW26-17-1.499610.70210.82
11@OhioL20-24-4.069415.70271.12
12vsToledoL3-246.034113.70170.00
13@BuffaloW37-20-7.558216.40310.39
14vsBall StateW45-24-23.056613.20330.54
15vsWestern MichiganL13-23-1.436521.71360.03
20vsFresno StateL3-181.824321.5024

Usage & Situational · Pro

Snap-share proxy
Overall
8.5%
Passing plays
18.8%
Rushing plays
0.0%
Standard downs
7.7%
Passing downs
10.2%
EPA by down type
Standard downs
0.24
Passing downs
0.69
Pass / Rush EPA
0.41 / —

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.