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Lawayne McCoy

#7Lawayne McCoy

Lawayne McCoy is a Slot Specialist WR for Florida State. Lawayne's 2025 season produced 31.3 total EPA across 36 plays.

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 Lawayne McCoy'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
27 Receptions403 Rec yards3 Rec TD14.9 Yards/rec
Returns
1 Punt returns32 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness53
  • Consistency81
  • Pass-Down100
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 consistency81th %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.
  • 8 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 0.15 from the first to second half of the season.
  • Peak game: 2.12 EPA/play in Wk 14 vs Florida (SP+ 4).

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
Bert Emanuel Jr.Central Michigan0.4601.624.4
Savion WilliamsTCU0.4501.125.2

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

Game Log · box score + EPA, week by week

+2.1202.12Wk 4 vs Kent State: +1.51 EPA/play4Wk 5 vs Virginia: +0.74 EPA/play5Wk 6 vs Miami: +1.11 EPA/play6Wk 7 vs Pittsburgh: +1.32 EPA/play7Wk 8 vs Stanford: -0.04 EPA/play8Wk 10 vs Wake Forest: +1.13 EPA/play10Wk 11 vs Clemson: +0.92 EPA/play11Wk 12 vs Virginia Tech: -0.13 EPA/play12Wk 13 vs NC State: +1.34 EPA/play13Wk 14 vs Florida: +2.12 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
4vsKent StateW66-10-19.323015.00211.51
5@VirginiaL38-4611.124422.00340.74
6vsMiamiL22-2820.733913.01201.11
7vsPittsburghL31-348.411515.00151.32
8@StanfordL13-20-11.844611.5018-0.04
10vsWake ForestW42-75.711212.00121.13
11@ClemsonL10-249.544611.51210.92
12vsVirginia TechW34-14-10.1199.009-0.13
13@NC StateL11-214.834515.00221.34
14@FloridaL21-403.5611719.51342.12

Usage & Situational · Pro

Snap-share proxy
Overall
5.2%
Passing plays
11.6%
Rushing plays
0.0%
Standard downs
4.3%
Passing downs
7.2%
EPA by down type
Standard downs
0.65
Passing downs
1.15
Pass / Rush EPA
0.87 / —

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.