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Kenny Odom

#18Kenny Odom

WR·UTEP·2025

Kenny Odom is a Versatile WR for UTEP. Kenny's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 97 plays — a developing 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 Kenny Odom'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
57 Rush yards0 Rush TD13 Carries4.4 Yards/carry
Receiving
62 Receptions582 Rec yards6 Rec TD9.4 Yards/rec
Returns
1 Kick returns16 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency0
  • Volume41
  • Explosiveness16
  • Consistency0
  • 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)0th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.35 EPA/play decline from first to second half.
  • Peak game: 1.32 EPA/play in Wk 2 vs UT Martin.

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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
De'Michael HarrisSouthern Miss0.1300.715.2
Hyleck FosterMarshall0.1800.518.2
Amare JonesTulane0.1800.012.8
Davis BrysonKennesaw State0.2000.019.4
Shai WertsGeorgia Southern0.1500.024.2

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

Game Log · box score + EPA, week by week

+1.3201.32Wk 1 vs Utah State: +0.26 EPA/play1Wk 2 vs UT Martin: +1.32 EPA/play2Wk 3 vs Texas: -0.10 EPA/play3Wk 5 vs Louisiana Tech: -0.19 EPA/play5Wk 7 vs Liberty: -0.47 EPA/play7Wk 8 vs Sam Houston: +0.30 EPA/play8Wk 10 vs Kennesaw State: +0.33 EPA/play10Wk 11 vs Jacksonville State: -0.63 EPA/play11Wk 12 vs Missouri State: -0.41 EPA/play12Wk 13 vs New Mexico State: -0.11 EPA/play13Wk 14 vs Delaware: -0.15 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Utah StateL16-28-3.199710.81340.26
2vsUT MartinW42-17512424.81741.32
3@TexasL10-2716.25153.005-0.10
5vsLouisiana TechL11-30-1.34112.806-0.19
7vsLibertyL8-19-9.035317.7044-0.47
8vsSam HoustonW35-17-27.810676.71260.30
10@Kennesaw StateL20-33-5.46518.51270.33
11vsJacksonville StateL27-30-6.74246.0011-0.63
12@Missouri StateL24-38-10.71-2-2.000-0.41
13vsNew Mexico StateL31-34-15.58486.0128-0.11
14@DelawareL31-61-10.979413.4149-0.15

Usage & Situational · Pro

Snap-share proxy
Overall
14.2%
Passing plays
23.5%
Rushing plays
4.1%
Standard downs
12.9%
Passing downs
16.9%
EPA by down type
Standard downs
-0.18
Passing downs
0.39
Pass / Rush EPA
0.06 / -0.13

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.