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Semaj Morgan

#4Semaj Morgan

Semaj Morgan is a Versatile WR for Michigan. Semaj's 2025 season produced 4.5 total EPA across 42 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 Semaj Morgan'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
20 Receptions223 Rec yards1 Rec TD11.2 Yards/rec
Returns
13 Punt returns30 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency50
  • Volume17
  • Explosiveness28
  • Consistency0
  • Pass-Down100
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)50th %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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 1.06 EPA/play decline from first to second half.
  • Peak game: 1.64 EPA/play in Wk 3 vs Central Michigan (SP+ -9).

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
Eli HeidenreichNavy0.2200.815.4
Justin LynchTemple0.2400.315.1
Amare JonesTulane0.2300.813.3

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

Game Log · box score + EPA, week by week

+1.6401.64Wk 1 vs New Mexico: +0.74 EPA/play1Wk 2 vs Oklahoma: -0.20 EPA/play2Wk 3 vs Central Michigan: +1.64 EPA/play3Wk 4 vs Nebraska: +0.23 EPA/play4Wk 6 vs Wisconsin: -0.12 EPA/play6Wk 7 vs USC: -0.08 EPA/play7Wk 8 vs Washington: -0.81 EPA/play8Wk 9 vs Michigan State: -0.31 EPA/play9Wk 10 vs Purdue: -0.61 EPA/play10Wk 12 vs Northwestern: -0.66 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNew MexicoW34-170.94338.30110.74
2@OklahomaL13-2418.311919.0019-0.20
3vsCentral MichiganW63-3-8.846917.31321.64
4@NebraskaW30-276.222211.00160.23
6vsWisconsinW24-10-4.45448.8019-0.12
7@USCL13-3116.9177.007-0.08
8vsWashingtonW24-718.422010.0013-0.81
9@Michigan StateW31-20-3.4-0.31
10vsPurdueW21-16-6.1-0.61
12vsNorthwesternW24-225.8-0.66
20vsTexasL27-4116.2199.009

Usage & Situational · Pro

Snap-share proxy
Overall
5.8%
Passing plays
12.0%
Rushing plays
1.2%
Standard downs
5.7%
Passing downs
6.1%
EPA by down type
Standard downs
-0.04
Passing downs
0.43
Pass / Rush EPA
0.12 / 0.01

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.