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Wayshawn Parker

#1Wayshawn Parker

RB·Utah·2025

Wayshawn Parker is a Explosive Back for Utah. Wayshawn's 2025 season ranks in the 83th percentile nationally by opponent-adjusted EPA per play across 143 plays — a above-average rate for the RB.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Wayshawn Parker'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

Rushing
981 Rush yards6 Rush TD149 Carries6.6 Yards/carry
Receiving
13 Receptions185 Rec yards3 Rec TD14.2 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency83
  • Volume48
  • Explosiveness72
  • Consistency72
  • Receiving44
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
Peer percentiles
Opponent-adjusted EPA (WEPA/play)83th %ile · above avg
Game-to-game consistency72th %ile · average
Key findings
  • Above-average efficiency for the RB position (83th percentile).
  • High game-to-game consistency — reliable floor each week.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.86 EPA/play in Wk 2 vs Cal Poly.

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 · RB · 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
Saquon BarkleyPenn State0.3403.997.9
Travis EtienneClemson0.4704.7100.1
Dalvin CookFlorida State0.3404.399.3
James FlandersTulsa0.3904.9103.7

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

Game Log · box score + EPA, week by week

+0.8600.86Wk 1 vs UCLA: +0.27 EPA/play1Wk 2 vs Cal Poly: +0.86 EPA/play2Wk 3 vs Wyoming: +0.64 EPA/play3Wk 4 vs Texas Tech: -0.10 EPA/play4Wk 5 vs West Virginia: +0.52 EPA/play5Wk 7 vs Arizona State: +0.03 EPA/play7Wk 8 vs BYU: -0.13 EPA/play8Wk 9 vs Colorado: +0.46 EPA/play9Wk 10 vs Cincinnati: +0.17 EPA/play10Wk 12 vs Baylor: +0.52 EPA/play12Wk 13 vs Kansas State: +0.29 EPA/play13Wk 14 vs Kansas: +0.25 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@UCLAW43-10-8.711625.610.27
2vsCal PolyW63-96508.3115210.86
3@WyomingW31-6-11.310808.002900.64
4vsTexas TechL10-3427.66223.71190-0.10
5@West VirginiaW48-14-6.89667.3022110.52
7vsArizona StateW42-103.910555.500.03
8@BYUL21-2415.98232.901-10-0.13
9vsColoradoW53-7-8.31014514.510.46
10vsCincinnatiW45-144.5171046.110.17
12@BaylorW55-281.4151298.611510.52
13vsKansas StateW51-477.0191005.301500.29
14@KansasW31-214.112957.9013200.25
20vsNebraskaW44-226.216503.103530

Usage & Situational · Pro

Snap-share proxy
Overall
16.9%
Passing plays
4.1%
Rushing plays
26.0%
Standard downs
19.2%
Passing downs
10.6%
EPA by down type
Standard downs
0.23
Passing downs
0.43
Pass / Rush EPA
1.00 / 0.18

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.