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Winston Watkins

Winston Watkins

Winston Watkins is a Slot Specialist WR for Ole Miss. Winston's 2025 season produced 23.5 total EPA across 35 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 Winston Watkins'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
26 Receptions373 Rec yards1 Rec TD14.3 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume13
  • Explosiveness49
  • Consistency70
  • 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 consistency70th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • 6 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 — 0.39 EPA/play decline from first to second half.
  • Peak game: 2.38 EPA/play in Wk 9 vs Oklahoma (SP+ 18).

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
Keytaon ThompsonMississippi State0.4601.232.2
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

+2.3802.38Wk 1 vs Georgia State: +0.61 EPA/play1Wk 4 vs Tulane: +1.46 EPA/play4Wk 5 vs LSU: +2.12 EPA/play5Wk 7 vs Washington State: -0.52 EPA/play7Wk 8 vs Georgia: +0.68 EPA/play8Wk 9 vs Oklahoma: +2.38 EPA/play9Wk 11 vs The Citadel: +1.25 EPA/play11Wk 12 vs Florida: +0.14 EPA/play12Wk 14 vs Mississippi State: +0.05 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsGeorgia StateW63-7-24.523316.50280.61
4vsTulaneW45-106.311313.00131.46
5vsLSUW24-1910.333812.70132.12
7vsWashington StateW24-213.82-1-0.500-0.52
8@GeorgiaL35-4324.112424.00240.68
9@OklahomaW34-2618.3411127.80432.38
11vsThe CitadelW49-058016.01321.25
12vsFloridaW34-243.533411.30190.14
14@Mississippi StateW38-194.133110.30150.05
20vsGeorgiaW39-3424.1177.007
20vsMiamiL27-3120.7133.003

Usage & Situational · Pro

Snap-share proxy
Overall
4.5%
Passing plays
7.8%
Rushing plays
1.0%
Standard downs
3.8%
Passing downs
6.2%
EPA by down type
Standard downs
0.50
Passing downs
0.97
Pass / Rush EPA
0.81 / -0.38

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.