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Kyle Washington

#4Kyle Washington

Kyle Washington is a Versatile WR for Georgia 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 Kyle 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.

2025 Production

Receiving
6 Receptions75 Rec yards0 Rec TD12.5 Yards/rec
Returns
8 Kick returns146 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency67
  • Volume7
  • Explosiveness37
  • Consistency0
  • Pass-Down0
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)67th %ile · average
Game-to-game consistency0th %ile · below avg
Key findings
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • Production faded as the season progressed — 0.47 EPA/play decline from first to second half.

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Amare JonesTulane0.1800.012.8
Brandon ChatmanNavy0.2300.612.0
Tyler BuchnerNotre Dame0.2500.312.8
Amare JonesTulane0.2300.813.3
Justin LynchTemple0.2400.315.1

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

Game Log · box score + EPA, week by week

+1.0201.02Wk 2 vs Memphis: +0.15 EPA/play2Wk 3 vs Murray State: +0.22 EPA/play3Wk 9 vs South Alabama: +0.02 EPA/play9Wk 13 vs Troy: +0.34 EPA/play13Wk 14 vs Old Dominion: -1.02 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsMemphisL16-387.62178.50140.15
3vsMurray StateW37-2111010.00100.22
9vsSouth AlabamaL31-38-12.7155.0050.02
11@Coastal CarolinaL27-40-15.1
12vsMarshallL18-30-4.5
13@TroyL19-31-4.824321.50230.34
14@Old DominionL10-275.9-1.02

Usage & Situational · Pro

Snap-share proxy
Overall
2.5%
Passing plays
4.2%
Rushing plays
0.0%
Standard downs
2.9%
Passing downs
1.7%
EPA by down type
Standard downs
0.18
Passing downs
-0.12
Pass / Rush EPA
0.13 / —

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.
Kyle Washington Stats, EPA & Player Profile — Georgia State · Gridpex