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Jarod Bowie

#7Jarod Bowie

Jarod Bowie is a Slot Specialist WR for West Virginia.

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 Jarod Bowie'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
9 Receptions82 Rec yards0 Rec TD9.1 Yards/rec
Returns
1 Kick returns18 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume9
  • Explosiveness14
  • Consistency47
  • Pass-Down100
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency47th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 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 — 0.66 EPA/play decline from first to second half.
  • Peak game: 1.86 EPA/play in Wk 5 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
Dane KinamonAir Force0.4100.716.0
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Javion PoseyFlorida Atlantic0.4501.423.8
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

+1.8601.86Wk 5 vs Utah: +1.86 EPA/play5Wk 6 vs BYU: +1.04 EPA/play6Wk 8 vs UCF: -0.11 EPA/play8Wk 9 vs TCU: +1.57 EPA/play9Wk 11 vs Colorado: -1.18 EPA/play11Wk 12 vs Arizona State: +0.67 EPA/play12Wk 14 vs Texas Tech: +0.02 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
3vsPittsburghW31-248.4
5vsUtahL14-4822.2144.0041.86
6@BYUL24-3815.91.04
8@UCFL13-45-1.2-0.11
9vsTCUL17-238.333913.00181.57
11vsColoradoW29-22-8.3-1.18
12@Arizona StateL23-253.94348.50160.67
14vsTexas TechL0-4927.6155.0050.02

Usage & Situational · Pro

Snap-share proxy
Overall
3.2%
Passing plays
5.8%
Rushing plays
1.5%
Standard downs
2.6%
Passing downs
4.6%
EPA by down type
Standard downs
0.31
Passing downs
0.70
Pass / Rush EPA
0.64 / 0.19

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.