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Tobi Olawole

#11Tobi Olawole

WR·Army·2025

Tobi Olawole is a Versatile WR for Army.

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 Tobi Olawole'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
3 Receptions21 Rec yards0 Rec TD7.0 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume4
  • Explosiveness0
  • Consistency57
  • 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 consistency57th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 1.60 EPA/play in Wk 7 vs Charlotte (SP+ -27).

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
Savion WilliamsTCU0.4501.125.2
Bert Emanuel Jr.Central Michigan0.4601.624.4
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

+1.6001.60Wk 7 vs Charlotte: +1.60 EPA/play7Wk 8 vs Tulane: +1.18 EPA/play8Wk 13 vs Tulsa: -0.70 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
7vsCharlotteW24-7-26.7166.0061.60
8@TulaneL17-246.3199.0091.18
13vsTulsaL25-26-10.0166.006-0.70

Usage & Situational · Pro

Snap-share proxy
Overall
1.4%
Passing plays
11.5%
Rushing plays
0.0%
Standard downs
1.3%
Passing downs
1.8%
EPA by down type
Standard downs
0.24
Passing downs
1.60
Pass / Rush EPA
0.69 / —

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.