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Joseph Williams

#8Joseph Williams

Joseph Williams is a Slot Specialist WR for Colorado. Joseph's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 53 plays — a elite rate for the WR.

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 Joseph 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
37 Receptions489 Rec yards4 Rec TD13.2 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume24
  • Explosiveness41
  • Consistency59
  • Pass-Down97
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 consistency59th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 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 — 0.50 EPA/play decline from first to second half.
  • Peak game: 3.61 EPA/play in Wk 4 vs Wyoming (SP+ -11).

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
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
Javion PoseyFlorida Atlantic0.4501.423.8

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

Game Log · box score + EPA, week by week

+3.6103.61Wk 1 vs Georgia Tech: -0.51 EPA/play1Wk 2 vs Delaware: +0.42 EPA/play2Wk 3 vs Houston: +1.01 EPA/play3Wk 4 vs Wyoming: +3.61 EPA/play4Wk 5 vs BYU: +0.68 EPA/play5Wk 6 vs TCU: +0.32 EPA/play6Wk 7 vs Iowa State: +1.37 EPA/play7Wk 10 vs Arizona: +0.11 EPA/play10Wk 11 vs West Virginia: +1.06 EPA/play11Wk 13 vs Arizona State: -0.14 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsGeorgia TechL20-279.311010.0010-0.51
2vsDelawareW31-7-10.945513.80310.42
3@HoustonL20-367.435217.31371.01
4vsWyomingW37-20-11.314747.01473.61
5vsBYUL21-2415.955611.20260.68
6@TCUL21-358.322211.00130.32
7vsIowa StateW24-179.9812816.01381.37
10vsArizonaL17-5212.03165.3080.11
11@West VirginiaL22-29-6.836421.31421.06
13vsArizona StateL17-423.97395.6015-0.14

Usage & Situational · Pro

Snap-share proxy
Overall
8.5%
Passing plays
17.0%
Rushing plays
0.0%
Standard downs
6.3%
Passing downs
12.2%
EPA by down type
Standard downs
0.43
Passing downs
0.71
Pass / Rush EPA
0.58 / —

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.