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Michael Scott

#17Michael Scott

Michael Scott is a Slot Specialist WR for James Madison.

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 Michael Scott'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 Receptions85 Rec yards1 Rec TD10.6 Yards/rec
Returns
2 Punt returns7 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency0
  • Volume7
  • Explosiveness24
  • Consistency61
  • Pass-Down98
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)0th %ile · below avg
Game-to-game consistency61th %ile · average
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 2.01 EPA/play in Wk 14 vs Coastal Carolina (SP+ -15).

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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
De'Michael HarrisSouthern Miss0.1300.715.2
Hyleck FosterMarshall0.1800.518.2
Amare JonesTulane0.1800.012.8
Shai WertsGeorgia Southern0.1500.024.2
Davis BrysonKennesaw State0.2000.019.4

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

Game Log · box score + EPA, week by week

+2.0102.01Wk 1 vs Weber State: +1.38 EPA/play1Wk 12 vs App State: +0.11 EPA/play12Wk 13 vs Washington State: -0.48 EPA/play13Wk 14 vs Coastal Carolina: +2.01 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsWeber StateW45-104389.50141.38
2@LouisvilleL14-2812.4
12vsApp StateW58-10-11.4155.0050.11
13vsWashington StateW24-203.8155.005-0.48
14@Coastal CarolinaW59-10-15.123718.51322.01

Usage & Situational · Pro

Snap-share proxy
Overall
2.5%
Passing plays
6.4%
Rushing plays
0.3%
Standard downs
1.5%
Passing downs
4.8%
EPA by down type
Standard downs
-0.14
Passing downs
0.15
Pass / Rush EPA
0.08 / -0.70

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.
Michael Scott Stats, EPA & Player Profile — James Madison · Gridpex