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Kaleb Webb

#2Kaleb Webb

Kaleb Webb is a Slot Specialist WR for Maryland. Kaleb's 2025 season produced 14.6 total EPA across 34 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 Kaleb Webb'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
22 Receptions318 Rec yards2 Rec TD14.5 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume13
  • Explosiveness50
  • Consistency61
  • 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
Game-to-game consistency61th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 6 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 — 0.87 EPA/play decline from first to second half.
  • Peak game: 2.79 EPA/play in Wk 2 vs Northern Illinois (SP+ -17).

NIL Market Tier· 2025

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
Dane KinamonAir Force0.4100.716.0
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
JoJo NatsonUtah State0.3901.019.9
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

+2.7902.79Wk 1 vs Florida Atlantic: +1.00 EPA/play1Wk 2 vs Northern Illinois: +2.79 EPA/play2Wk 3 vs Towson: +0.29 EPA/play3Wk 4 vs Wisconsin: +0.54 EPA/play4Wk 7 vs Nebraska: +1.03 EPA/play7Wk 8 vs UCLA: +0.35 EPA/play8Wk 10 vs Indiana: +1.49 EPA/play10Wk 11 vs Rutgers: -0.50 EPA/play11Wk 12 vs Illinois: -0.14 EPA/play12Wk 13 vs Michigan: +0.02 EPA/play13Wk 14 vs Michigan State: +0.42 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsFlorida AtlanticW39-7-8.723919.51291.00
2vsNorthern IllinoisW20-9-16.711919.00192.79
3vsTowsonW44-17199.0090.29
4@WisconsinW27-10-4.411818.00180.54
7vsNebraskaL31-346.222512.50251.03
8@UCLAL17-20-8.711010.00100.35
10vsIndianaL10-5532.424020.00251.49
11@RutgersL20-351.012121.0121-0.50
12@IllinoisL6-2412.934816.0017-0.14
13vsMichiganL20-4512.411212.00120.02
14vsMichigan StateL28-38-3.477711.00180.42

Usage & Situational · Pro

Snap-share proxy
Overall
4.6%
Passing plays
7.5%
Rushing plays
0.0%
Standard downs
3.8%
Passing downs
6.3%
EPA by down type
Standard downs
-0.25
Passing downs
1.29
Pass / Rush EPA
0.43 / —

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.