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Kam Brown

#4Kam Brown

WR·UCLA·2023

Kam Brown 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 Kam Brown'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
13 Receptions163 Rec yards1 Rec TD12.5 Yards/rec

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume7
  • Explosiveness37
  • Consistency75
  • Pass-Down89
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 consistency75th %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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.78 EPA/play decline from first to second half.
  • Peak game: 2.93 EPA/play in Wk 3 vs North Carolina Central.

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.

Game Log · box score + EPA, week by week

+2.9302.93Wk 2 vs San Diego State: +0.70 EPA/play2Wk 3 vs North Carolina Central: +2.93 EPA/play3Wk 4 vs Utah: +0.29 EPA/play4Wk 6 vs Washington State: +1.81 EPA/play6Wk 7 vs Oregon State: +1.08 EPA/play7Wk 8 vs Stanford: +0.17 EPA/play8Wk 9 vs Colorado: +1.09 EPA/play9Wk 10 vs Arizona: +0.26 EPA/play10
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2@San Diego StateW35-10-10.322211.00160.70
3vsNorth Carolina CentralW59-727437.01672.93
4@UtahL7-148.5177.0070.29
6vsWashington StateW25-174.911212.00121.81
7@Oregon StateL24-3612.63206.7071.08
8@StanfordW42-7-11.92105.00100.17
9vsColoradoW28-16-4.911212.00121.09
10@ArizonaL10-2714.1166.0060.26

Usage & Situational · Pro

Snap-share proxy
Overall
2.5%
Passing plays
5.4%
Rushing plays
0.0%
Standard downs
1.7%
Passing downs
4.2%
EPA by down type
Standard downs
0.85
Passing downs
1.08
Pass / Rush EPA
0.98 / —

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.