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Kendrick Law

#1Kendrick Law

Kendrick Law is a Versatile WR for Kentucky. Kendrick's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 67 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 Kendrick Law'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
53 Receptions540 Rec yards3 Rec TD10.2 Yards/rec
Returns
9 Kick returns174 KR yards0 KR TD3 Punt returns8 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume25
  • Explosiveness21
  • Consistency43
  • Pass-Down7
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 consistency43th %ile · below avg
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.
  • Strong second-half surge — EPA/play improved 0.20 from the first to second half of the season.
  • Peak game: 2.62 EPA/play in Wk 9 vs Tennessee (SP+ 15).

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
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Dane KinamonAir Force0.4100.716.0
Javion PoseyFlorida Atlantic0.4501.423.8

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

Game Log · box score + EPA, week by week

+2.6202.62Wk 1 vs Toledo: -1.13 EPA/play1Wk 2 vs Ole Miss: +0.17 EPA/play2Wk 3 vs Eastern Michigan: +0.22 EPA/play3Wk 5 vs South Carolina: +0.53 EPA/play5Wk 6 vs Georgia: +0.90 EPA/play6Wk 8 vs Texas: +1.56 EPA/play8Wk 9 vs Tennessee: +2.62 EPA/play9Wk 10 vs Auburn: +0.57 EPA/play10Wk 11 vs Florida: -0.01 EPA/play11Wk 12 vs Tennessee Tech: +0.47 EPA/play12Wk 13 vs Vanderbilt: -0.43 EPA/play13Wk 14 vs Louisville: +0.24 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsToledoW24-166.0-1.13
2vsOle MissL23-3024.06447.30180.17
3vsEastern MichiganW48-23-14.722512.50230.22
5@South CarolinaL13-355.95418.20110.53
6@GeorgiaL14-3524.166410.71380.90
8vsTexasL13-1616.23258.30221.56
9vsTennesseeL34-5615.0210351.51712.62
10@AuburnW10-311.66498.21180.57
11vsFloridaW38-73.56447.3025-0.01
12vsTennessee TechW42-101112411.30430.47
13@VanderbiltL17-4520.3351.704-0.43
14@LouisvilleL0-4112.43165.3090.24

Usage & Situational · Pro

Snap-share proxy
Overall
8.8%
Passing plays
16.4%
Rushing plays
2.0%
Standard downs
8.8%
Passing downs
8.8%
EPA by down type
Standard downs
0.59
Passing downs
0.33
Pass / Rush EPA
0.51 / 0.45

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.