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Omari Kelly

#1Omari Kelly

Omari Kelly is a Versatile WR for Michigan State. Omari's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 82 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 Omari Kelly'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
47 Receptions626 Rec yards2 Rec TD13.3 Yards/rec
Returns
12 Punt returns150 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume31
  • Explosiveness42
  • Consistency64
  • 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)100th %ile · elite
Game-to-game consistency64th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.12 EPA/play decline from first to second half.
  • Peak game: 1.17 EPA/play in Wk 4 vs USC (SP+ 17).

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
Zach AbeyNavy0.3700.825.9

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

Game Log · box score + EPA, week by week

+1.1701.17Wk 1 vs Western Michigan: +0.80 EPA/play1Wk 2 vs Boston College: +0.42 EPA/play2Wk 3 vs Youngstown State: +0.62 EPA/play3Wk 4 vs USC: +1.17 EPA/play4Wk 6 vs Nebraska: -0.08 EPA/play6Wk 7 vs UCLA: -0.23 EPA/play7Wk 8 vs Indiana: +0.88 EPA/play8Wk 9 vs Michigan: -0.19 EPA/play9Wk 10 vs Minnesota: +0.56 EPA/play10Wk 12 vs Penn State: +0.07 EPA/play12Wk 13 vs Iowa: -0.12 EPA/play13Wk 14 vs Maryland: +0.79 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsWestern MichiganW23-6-1.477510.70210.80
2vsBoston CollegeW42-40-8.546015.00300.42
3vsYoungstown StateW41-2444912.30200.62
4@USCL31-4516.9613322.21751.17
6@NebraskaL27-386.2199.009-0.08
7vsUCLAL13-38-8.722110.5014-0.23
8@IndianaL13-3832.435919.70230.88
9vsMichiganL20-3112.43299.7015-0.19
10@MinnesotaL20-231.589411.80230.56
12vsPenn StateL10-2818.13155.0060.07
13@IowaL17-2019.7166.006-0.12
14vsMarylandW38-280.657615.21460.79

Usage & Situational · Pro

Snap-share proxy
Overall
10.9%
Passing plays
19.3%
Rushing plays
1.9%
Standard downs
10.1%
Passing downs
12.6%
EPA by down type
Standard downs
0.10
Passing downs
1.20
Pass / Rush EPA
0.51 / 0.12

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.