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Robert Williams

#0Robert Williams

Robert Williams is a Slot Specialist WR for Louisiana. Robert's 2025 season produced 18.4 total EPA across 40 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 Robert 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.

2025 Production

Receiving
25 Receptions309 Rec yards0 Rec TD12.4 Yards/rec
Returns
17 Kick returns315 KR yards0 KR TD9 Punt returns29 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume16
  • Explosiveness36
  • Consistency31
  • Pass-Down34
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 consistency31th %ile · below avg
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 variance — boom-or-bust profile.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.31 from the first to second half of the season.
  • Peak game: 2.70 EPA/play in Wk 10 vs South Alabama (SP+ -13).

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
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
JoJo NatsonUtah State0.3901.019.9

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

Game Log · box score + EPA, week by week

+2.7002.70Wk 1 vs Rice: +0.22 EPA/play1Wk 2 vs McNeese: +0.28 EPA/play2Wk 3 vs Missouri: -0.64 EPA/play3Wk 4 vs Eastern Michigan: +0.50 EPA/play4Wk 7 vs James Madison: +1.02 EPA/play7Wk 8 vs Southern Miss: +0.09 EPA/play8Wk 9 vs Troy: +0.88 EPA/play9Wk 10 vs South Alabama: +2.70 EPA/play10Wk 11 vs Texas State: -0.45 EPA/play11Wk 13 vs Arkansas State: +0.19 EPA/play13Wk 14 vs UL Monroe: -0.53 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsRiceL12-14-14.80.22
2vsMcNeeseW34-102189.0090.28
3@MissouriL10-5214.4-0.64
4@Eastern MichiganL31-34-14.777110.10270.50
7@James MadisonL14-2412.3513426.80441.02
8vsSouthern MissL10-22-7.1155.0050.09
9@TroyL23-35-4.811818.00180.88
10@South AlabamaW31-22-12.712323.00232.70
11vsTexas StateW42-392.3-0.45
13@Arkansas StateW34-30-8.83155.0060.19
14vsUL MonroeW30-27-21.6122.002-0.53
20vsDelawareL13-20-10.94235.809

Usage & Situational · Pro

Snap-share proxy
Overall
5.7%
Passing plays
14.1%
Rushing plays
0.0%
Standard downs
4.2%
Passing downs
8.6%
EPA by down type
Standard downs
0.51
Passing downs
0.41
Pass / Rush EPA
0.46 / —

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.