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Tre Mosley

#17Tre Mosley

Tre Mosley is a Slot Specialist WR for Michigan 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 Tre Mosley'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
28 Receptions288 Rec yards2 Rec TD10.3 Yards/rec

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness22
  • Consistency76
  • 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 consistency76th %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.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.15 EPA/play decline from first to second half.
  • Peak game: 1.88 EPA/play in Wk 2 vs Richmond.

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
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

+1.8801.88Wk 1 vs Central Michigan: +0.83 EPA/play1Wk 2 vs Richmond: +1.88 EPA/play2Wk 3 vs Washington: +0.31 EPA/play3Wk 4 vs Maryland: +0.27 EPA/play4Wk 5 vs Iowa: +0.69 EPA/play5Wk 7 vs Rutgers: +0.85 EPA/play7Wk 8 vs Michigan: -0.20 EPA/play8Wk 9 vs Minnesota: +1.36 EPA/play9
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsCentral MichiganW31-7-19.133913.00230.83
2vsRichmondW45-1458416.81261.88
3vsWashingtonL7-4116.43217.0090.31
4vsMarylandL9-3111.02136.5070.27
5@IowaL16-265.84358.80200.69
7@RutgersL24-273.56366.0190.85
8vsMichiganL0-4931.3294.507-0.20
9@MinnesotaL12-270.435117.00301.36

Usage & Situational · Pro

Snap-share proxy
Overall
5.4%
Passing plays
10.2%
Rushing plays
0.4%
Standard downs
4.4%
Passing downs
7.4%
EPA by down type
Standard downs
1.04
Passing downs
0.61
Pass / Rush EPA
0.90 / -0.22

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.
Tre Mosley Stats, EPA & Player Profile — Michigan State · Gridpex