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Cade Wolford

#8Cade Wolford

Cade Wolford is a Vertical Threat WR for Kent State. Cade's 2025 season produced 29.7 total EPA across 39 plays.

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 Cade Wolford'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

Rushing
97 Rush yards1 Rush TD12 Carries8.1 Yards/carry
Receiving
19 Receptions509 Rec yards7 Rec TD26.8 Yards/rec
Returns
6 Kick returns53 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume20
  • Explosiveness100
  • Consistency59
  • Pass-Down0
Player type
Vertical Threat WR

Elite deep receiver who stretches the field. Wins downfield, commands safety attention, and creates the threat that opens underneath routes.

Downfield threatYAC upsideCreates space for teammates
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency59th %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.
  • Peak game: 2.25 EPA/play in Wk 14 vs Northern Illinois (SP+ -17).

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
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
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

+2.2502.25Wk 1 vs Merrimack: +2.24 EPA/play1Wk 2 vs Texas Tech: +0.18 EPA/play2Wk 3 vs Buffalo: +1.37 EPA/play3Wk 4 vs Florida State: -0.15 EPA/play4Wk 6 vs Oklahoma: -0.34 EPA/play6Wk 8 vs Toledo: +1.04 EPA/play8Wk 9 vs Bowling Green: +0.59 EPA/play9Wk 11 vs Ball State: -0.62 EPA/play11Wk 12 vs Akron: +0.59 EPA/play12Wk 13 vs Central Michigan: +0.34 EPA/play13Wk 14 vs Northern Illinois: +2.25 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsMerrimackW21-17210954.52792.24
2@Texas TechL14-6227.62199.51160.18
3vsBuffaloL28-31-7.539531.71431.37
4@Florida StateL10-667.22157.509-0.15
6@OklahomaL0-4418.3144.004-0.34
8@ToledoL10-456.038729.01751.04
9vsBowling GreenW24-21-12.626633.01370.59
11@Ball StateL13-17-23.011111.0011-0.62
12@AkronW42-35-13.914343.01430.59
13vsCentral MichiganL16-28-8.811616.00160.34
14@Northern IllinoisW35-31-16.714444.00442.25

Usage & Situational · Pro

Snap-share proxy
Overall
7.1%
Passing plays
11.8%
Rushing plays
3.3%
Standard downs
6.0%
Passing downs
8.9%
EPA by down type
Standard downs
0.90
Passing downs
0.59
Pass / Rush EPA
0.92 / 0.37

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.