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Keontez Lewis
Keontez Lewis

#9Keontez Lewis

WR·Oklahoma·2025

Keontez Lewis is a Versatile WR for Oklahoma.

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 Keontez Lewis'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
21 Receptions243 Rec yards2 Rec TD11.6 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume16
  • Explosiveness30
  • Consistency55
  • Pass-Down64
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 consistency55th %ile · average
Key findings
  • ▸Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • ▸Limited usage share suggests a rotational or specialist role.
  • ▸Production faded as the season progressed — 0.85 EPA/play decline from first to second half.
  • ▸Peak game: 1.85 EPA/play in Wk 2 vs Michigan (SP+ 12).

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
Keytaon ThompsonVirginia0.3700.615.2
Cade HarrisAir Force0.3300.514.8
Micah DavisAir Force0.3700.616.3
Nick NashSan José State0.3100.514.0

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

Game Log · box score + EPA, week by week

+1.850−1.85Wk 1 vs Illinois State: +1.08 EPA/play1Wk 2 vs Michigan: +1.85 EPA/play2Wk 3 vs Temple: -0.16 EPA/play3Wk 4 vs Auburn: +0.04 EPA/play4Wk 7 vs Texas: +0.31 EPA/play7Wk 13 vs Missouri: -0.16 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsIllinois StateW35-3—911913.22281.08
2vsMichiganW24-1312.433612.00181.85
3@TempleW42-3-5.13268.7013-0.16
4vsAuburnW24-1711.622914.50190.04
7vsTexasL6-2316.22168.00110.31
13vsMissouriW17-614.411212.0012-0.16
20vsAlabamaL24-3414.8155.005—

Usage & Situational · Pro

Snap-share proxy
Overall
5.7%
Passing plays
10.7%
Rushing plays
0.0%
Standard downs
5.3%
Passing downs
6.7%
EPA by down type
Standard downs
0.33
Passing downs
0.41
Pass / Rush EPA
0.35 / —

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.