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Darion Williamson
Darion Williamson

#3Darion Williamson

Darion Williamson is a Versatile WR for Florida State.

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 Darion Williamson'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.

2024 Production

Receiving
5 Receptions71 Rec yards0 Rec TD14.2 Yards/rec

Performance Analysis · 2024 · vs WR peers

  • Efficiency50
  • Volume10
  • Explosiveness48
  • Consistency41
  • 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)50th %ile · average
Game-to-game consistency41th %ile · below avg
Key findings
  • Limited usage share suggests a rotational or specialist role.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 3.59 EPA/play in Wk 5 vs SMU (SP+ 18).

NIL Market Tier· 2024

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 · 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
Keytaon ThompsonVirginia0.3200.412.5
Nick NashSan José State0.3100.514.0
Tyler BuchnerNotre Dame0.2500.312.8
Cade HarrisAir Force0.3300.514.8
Ainias SmithTexas A&M0.3100.517.0

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

Game Log · box score + EPA, week by week

+3.5903.59Wk 1 vs Boston College: -0.37 EPA/play1Wk 3 vs Memphis: -0.31 EPA/play3Wk 5 vs SMU: +3.59 EPA/play5Wk 11 vs Notre Dame: +0.67 EPA/play11Wk 13 vs Charleston Southern: +0.16 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsBoston CollegeL13-281.2155.005-0.37
3vsMemphisL12-209.611010.0010-0.31
5@SMUL16-4217.513535.00353.59
11@Notre DameL3-5223.9188.0080.67
13vsCharleston SouthernW41-711313.00130.16

Usage & Situational · Pro

Snap-share proxy
Overall
3.4%
Passing plays
5.8%
Rushing plays
0.0%
Standard downs
2.7%
Passing downs
4.5%
EPA by down type
Standard downs
0.03
Passing downs
0.42
Pass / Rush EPA
0.27 / —

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.