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Quincy Burroughs
Quincy Burroughs

#12Quincy Burroughs

Quincy Burroughs is a Slot Specialist WR for Western Kentucky.

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 Quincy Burroughs'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
8 Receptions77 Rec yards1 Rec TD9.6 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume6
  • Explosiveness18
  • Consistency65
  • Pass-Down0
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 consistency65th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Strong second-half surge — EPA/play improved 0.25 from the first to second half of the season.
  • Peak game: 2.42 EPA/play in Wk 1 vs North Alabama.

NIL Market Tier· 2025

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
Tyler BuchnerNotre Dame0.2500.312.8
Nick NashSan José State0.3100.514.0
Cade HarrisAir Force0.3300.514.8
Brandon ChatmanNavy0.2300.612.0

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

Game Log · box score + EPA, week by week

+2.4202.42Wk 1 vs North Alabama: +2.42 EPA/play1Wk 2 vs Toledo: -0.15 EPA/play2Wk 5 vs Missouri State: +0.22 EPA/play5Wk 8 vs Florida International: +0.07 EPA/play8Wk 10 vs New Mexico State: +2.08 EPA/play10
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNorth AlabamaW55-6199.0192.42
2@ToledoL21-456.0199.009-0.15
5@Missouri StateW27-22-10.73289.30140.22
6@DelawareW27-24-10.9
8vsFlorida InternationalL6-25-10.52115.5060.07
10vsNew Mexico StateW35-16-15.512020.00202.08

Usage & Situational · Pro

Snap-share proxy
Overall
2.2%
Passing plays
3.8%
Rushing plays
0.0%
Standard downs
1.4%
Passing downs
3.8%
EPA by down type
Standard downs
0.51
Passing downs
0.03
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.