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Semaj Morgan

#4Semaj Morgan

WR·UCLA·2026

Semaj Morgan is a Slot Specialist WR for UCLA.

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.

2026 Production

Receiving
8 Receptions86 Rec yards0 Rec TD10.8 Yards/rec
Returns
1 Punt returns25 PR yards0 PR TD

Performance Analysis · 2026 · vs WR peers

  • Efficiency100
  • Volume24
  • Explosiveness25
  • Consistency50
  • 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
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.36 EPA/play in Wk 2 vs San Diego State (SP+ 3).

NIL Market Tier· 2026

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
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
Cade HarrisAir Force0.3300.514.8
Dane KinamonAir Force0.4100.716.0

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

Game Log · box score + EPA, week by week

+0.3600.36Wk 1 vs California: +0.34 EPA/play1Wk 2 vs San Diego State: +0.36 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@CaliforniaW45-24-3.42136.5070.34
2vsSan Diego StateW28-103.167312.20310.36

Usage & Situational · Pro

Snap-share proxy
Overall
8.3%
Passing plays
20.4%
Rushing plays
0.0%
Standard downs
3.3%
Passing downs
23.3%
EPA by down type
Standard downs
0.10
Passing downs
0.47
Pass / Rush EPA
0.36 / —

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.