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Casey Washington
Casey Washington

#14Casey Washington

Casey Washington is a Versatile WR for Illinois. Casey's 2023 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 60 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 Casey Washington'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
49 Receptions670 Rec yards4 Rec TD13.7 Yards/rec

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume21
  • Explosiveness44
  • Consistency79
  • 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 consistency79th %ile · above 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 consistency — reliable floor each week.
  • 10 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.77 from the first to second half of the season.
  • Peak game: 1.87 EPA/play in Wk 10 vs Minnesota (SP+ 0).

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

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

Game Log · box score + EPA, week by week

+1.8701.87Wk 1 vs Toledo: +0.86 EPA/play1Wk 2 vs Kansas: -0.12 EPA/play2Wk 3 vs Penn State: +0.50 EPA/play3Wk 4 vs Florida Atlantic: +0.51 EPA/play4Wk 5 vs Purdue: +0.59 EPA/play5Wk 6 vs Nebraska: +0.59 EPA/play6Wk 7 vs Maryland: +1.58 EPA/play7Wk 8 vs Wisconsin: +0.31 EPA/play8Wk 10 vs Minnesota: +1.87 EPA/play10Wk 11 vs Indiana: +1.27 EPA/play11Wk 12 vs Iowa: +0.70 EPA/play12Wk 13 vs Northwestern: +1.82 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsToledoW30-283.745413.50330.86
2@KansasL23-349.93144.7010-0.12
3vsPenn StateL13-3023.522211.00130.50
4vsFlorida AtlanticW23-17-9.42136.50110.51
5@PurdueL19-44-7.32199.50140.59
6vsNebraskaL7-200.345513.80200.59
7@MarylandW27-2411.046015.00291.58
8vsWisconsinL21-259.44348.50130.31
10@MinnesotaW27-260.422412.00181.87
11vsIndianaW48-45-7.459919.81231.27
12@IowaL13-155.88587.30130.70
13vsNorthwesternL43-45-1.3921824.23801.82

Usage & Situational · Pro

Snap-share proxy
Overall
7.5%
Passing plays
13.9%
Rushing plays
0.0%
Standard downs
6.8%
Passing downs
9.2%
EPA by down type
Standard downs
0.79
Passing downs
1.31
Pass / Rush EPA
0.97 / —

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.