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Ke'Shawn Williams
Ke'Shawn Williams

#5Ke'Shawn Williams

Ke'Shawn Williams is a Versatile WR for Wake Forest. Ke'Shawn's 2023 season produced 30.9 total EPA across 41 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 Ke'Shawn Williams'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.

2023 Production

Receiving
38 Receptions384 Rec yards1 Rec TD10.1 Yards/rec
Returns
8 Kick returns187 KR yards0 KR TD

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume16
  • Explosiveness21
  • Consistency74
  • 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 consistency74th %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.
  • 8 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 — 0.16 EPA/play decline from first to second half.
  • Peak game: 1.42 EPA/play in Wk 2 vs Vanderbilt (SP+ -13).

NIL Market Tier· 2023

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

+1.4201.42Wk 1 vs Elon: +0.67 EPA/play1Wk 2 vs Vanderbilt: +1.42 EPA/play2Wk 3 vs Old Dominion: +1.26 EPA/play3Wk 4 vs Georgia Tech: +0.81 EPA/play4Wk 6 vs Clemson: +0.34 EPA/play6Wk 7 vs Virginia Tech: -0.57 EPA/play7Wk 8 vs Pittsburgh: +0.71 EPA/play8Wk 9 vs Florida State: +1.24 EPA/play9Wk 10 vs Duke: +1.08 EPA/play10Wk 11 vs NC State: -0.30 EPA/play11Wk 12 vs Notre Dame: +0.99 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsElonW37-172136.5090.67
2vsVanderbiltW36-20-12.759218.41341.42
3@Old DominionW27-24-10.144511.30141.26
4vsGeorgia TechL16-300.311111.00110.81
6@ClemsonL12-1710.53279.00140.34
7@Virginia TechL13-305.83134.3016-0.57
8vsPittsburghW21-17-7.36467.70240.71
9vsFlorida StateL16-4119.41.24
10@DukeL21-249.479012.90251.08
11vsNC StateL6-267.45255.0011-0.30
12@Notre DameL7-4520.122211.00170.99

Usage & Situational · Pro

Snap-share proxy
Overall
5.6%
Passing plays
11.7%
Rushing plays
0.8%
Standard downs
5.2%
Passing downs
6.6%
EPA by down type
Standard downs
0.62
Passing downs
0.98
Pass / Rush EPA
0.73 / 1.04

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.