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Kaleb Brown

#8Kaleb Brown

WR·UAB·2025

Kaleb Brown is a Versatile WR for UAB.

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 Kaleb 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.

2025 Production

Receiving
17 Receptions255 Rec yards2 Rec TD15.0 Yards/rec
Returns
1 Kick returns18 KR yards0 KR TD1 Punt returns5 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume13
  • Explosiveness53
  • Consistency85
  • 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)100th %ile · elite
Game-to-game consistency85th %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.
  • 7 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 — 0.17 EPA/play decline from first to second half.
  • Peak game: 2.00 EPA/play in Wk 14 vs Tulsa (SP+ -10).

NIL Market Tier· 2025

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
Savion WilliamsTCU0.4501.125.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+2.0002.00Wk 3 vs Akron: +1.17 EPA/play3Wk 4 vs Tennessee: +1.52 EPA/play4Wk 6 vs Army: +0.45 EPA/play6Wk 7 vs Florida Atlantic: +1.62 EPA/play7Wk 10 vs UConn: +0.51 EPA/play10Wk 11 vs Rice: +0.57 EPA/play11Wk 14 vs Tulsa: +2.00 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
3vsAkronW31-28-13.911616.00161.17
4@TennesseeL24-5615.047919.81611.52
6vsArmyL13-310.833812.70190.45
7@Florida AtlanticL33-53-8.712020.00201.62
8vsMemphisW31-247.6
10@UConnL19-385.14256.31130.51
11@RiceL17-24-14.82168.00100.57
14@TulsaW31-24-10.026130.50572.00

Usage & Situational · Pro

Snap-share proxy
Overall
4.7%
Passing plays
7.7%
Rushing plays
0.5%
Standard downs
4.7%
Passing downs
4.7%
EPA by down type
Standard downs
0.60
Passing downs
1.18
Pass / Rush EPA
0.80 / 0.86

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.