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Hardley Gilmore IV
Hardley Gilmore IV

#17Hardley Gilmore IV

Hardley Gilmore IV is a Slot Specialist WR for Kentucky. Hardley's 2025 season produced 11.5 total EPA across 40 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 Hardley Gilmore IV'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
28 Receptions313 Rec yards1 Rec TD11.2 Yards/rec
Returns
1 Kick returns26 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume17
  • Explosiveness28
  • Consistency31
  • Pass-Down62
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 consistency31th %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.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.20 from the first to second half of the season.
  • Peak game: 0.98 EPA/play in Wk 12 vs Tennessee Tech.

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
Keytaon ThompsonVirginia0.3200.412.5
Nick NashSan José State0.3100.514.0
Tyler BuchnerNotre Dame0.2500.312.8
Ainias SmithTexas A&M0.3100.517.0
Cade HarrisAir Force0.3300.514.8

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

Game Log · box score + EPA, week by week

+0.9800.98Wk 1 vs Toledo: -0.50 EPA/play1Wk 2 vs Ole Miss: +0.10 EPA/play2Wk 3 vs Eastern Michigan: +0.26 EPA/play3Wk 5 vs South Carolina: -0.75 EPA/play5Wk 6 vs Georgia: +0.90 EPA/play6Wk 8 vs Texas: +0.87 EPA/play8Wk 9 vs Tennessee: -0.39 EPA/play9Wk 10 vs Auburn: -0.17 EPA/play10Wk 11 vs Florida: +0.29 EPA/play11Wk 12 vs Tennessee Tech: +0.98 EPA/play12Wk 13 vs Vanderbilt: +0.72 EPA/play13Wk 14 vs Louisville: +0.65 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsToledoW24-166.02-5-2.500-0.50
2vsOle MissL23-3024.025427.00380.10
3vsEastern MichiganW48-23-14.724824.00320.26
5@South CarolinaL13-355.9-0.75
6@GeorgiaL14-3524.13248.00150.90
8vsTexasL13-1616.24348.50110.87
9vsTennesseeL34-5615.0300.007-0.39
10@AuburnW10-311.6177.007-0.17
11vsFloridaW38-73.5294.5080.29
12vsTennessee TechW42-1026130.51450.98
13@VanderbiltL17-4520.36559.20150.72
14@LouisvilleL0-4112.412626.00260.65

Usage & Situational · Pro

Snap-share proxy
Overall
5.8%
Passing plays
11.7%
Rushing plays
0.5%
Standard downs
4.1%
Passing downs
9.6%
EPA by down type
Standard downs
0.25
Passing downs
0.32
Pass / Rush EPA
0.33 / -0.42

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.