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Levi Wentz

#10Levi Wentz

Levi Wentz is a Versatile WR for Kansas. Levi's 2025 season produced 16.8 total EPA across 31 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 Levi Wentz'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
16 Receptions258 Rec yards2 Rec TD16.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness61
  • Consistency66
  • Pass-Down51
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 consistency66th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.44 from the first to second half of the season.
  • Peak game: 2.79 EPA/play in Wk 14 vs Utah (SP+ 22).

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
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Quadree HendersonPittsburgh0.5301.633.4
Dane KinamonAir Force0.4100.716.0
Keytaon ThompsonMississippi State0.4601.232.2

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

Game Log · box score + EPA, week by week

+2.7902.79Wk 1 vs Wagner: -0.03 EPA/play1Wk 2 vs Missouri: +1.08 EPA/play2Wk 4 vs West Virginia: +0.68 EPA/play4Wk 5 vs Cincinnati: +0.90 EPA/play5Wk 7 vs Texas Tech: +1.61 EPA/play7Wk 11 vs Arizona: -0.26 EPA/play11Wk 13 vs Iowa State: -0.07 EPA/play13Wk 14 vs Utah: +2.79 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0vsFresno StateW31-71.811515.0015
1vsWagnerW46-74328.0011-0.03
2@MissouriL31-4214.425628.00501.08
4vsWest VirginiaW41-10-6.814141.01410.68
5vsCincinnatiL34-374.52189.01120.90
7@Texas TechL17-4227.611010.00101.61
11@ArizonaL20-2412.011111.0011-0.26
13@Iowa StateL14-389.935317.7030-0.07
14vsUtahL21-3122.212222.00222.79

Usage & Situational · Pro

Snap-share proxy
Overall
5.2%
Passing plays
11.4%
Rushing plays
0.0%
Standard downs
4.8%
Passing downs
6.4%
EPA by down type
Standard downs
0.54
Passing downs
0.55
Pass / Rush EPA
0.54 / —

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.