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Omari Hayes

#9Omari Hayes

Omari Hayes is a Versatile WR for Tulane. Omari's 2025 season produced 31.4 total EPA across 48 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 Omari Hayes'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
39 Receptions515 Rec yards1 Rec TD13.2 Yards/rec
Returns
13 Punt returns61 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness41
  • Consistency56
  • 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 consistency56th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 9 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 — 0.42 EPA/play decline from first to second half.
  • Peak game: 3.26 EPA/play in Wk 5 vs Tulsa (SP+ -10).

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
Quadree HendersonPittsburgh0.5301.633.4
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+3.2603.26Wk 1 vs Northwestern: +0.58 EPA/play1Wk 2 vs South Alabama: -0.74 EPA/play2Wk 3 vs Duke: +0.53 EPA/play3Wk 4 vs Ole Miss: +0.38 EPA/play4Wk 5 vs Tulsa: +3.26 EPA/play5Wk 7 vs East Carolina: +0.85 EPA/play7Wk 8 vs Army: +0.80 EPA/play8Wk 10 vs UTSA: +0.69 EPA/play10Wk 11 vs Memphis: -0.61 EPA/play11Wk 12 vs Florida Atlantic: +0.43 EPA/play12Wk 13 vs Temple: +0.72 EPA/play13Wk 14 vs Charlotte: +0.90 EPA/play14Wk 15 vs North Texas: +0.22 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNorthwesternW23-35.89748.20150.58
2@South AlabamaW33-31-12.7-0.74
3vsDukeW34-276.646917.30260.53
4@Ole MissL10-4524.012222.00220.38
5@TulsaW31-14-10.048922.30293.26
7vsEast CarolinaW26-198.011212.00120.85
8vsArmyW24-170.834113.70190.80
10@UTSAL26-483.736923.01420.69
11@MemphisW38-327.6-0.61
12vsFlorida AtlanticW35-24-8.72157.50140.43
13@TempleW37-13-5.13299.70170.72
14vsCharlotteW27-0-26.722211.00190.90
15vsNorth TexasW34-2113.83217.00140.22
20@Ole MissL10-4124.045213.0018

Usage & Situational · Pro

Snap-share proxy
Overall
5.4%
Passing plays
11.8%
Rushing plays
0.0%
Standard downs
5.7%
Passing downs
4.7%
EPA by down type
Standard downs
0.19
Passing downs
1.90
Pass / Rush EPA
0.65 / —

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.