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Kaleb Edwards

#81Kaleb Edwards

Kaleb Edwards is a Versatile TE for Alabama.

What projects, and what doesn't · TEs · 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)0.42
    Beats guessing the TE average by 9%. n=2,225 TE seasons
  • EPA per play (efficiency)0.04
    Not projectable — we do not forecast this. n=2,016 TE seasons
  • Total EPA (value)0.46
    Beats guessing the TE average by 13%. n=2,016 TE seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Kaleb Edwards'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
11 Receptions150 Rec yards1 Rec TD13.6 Yards/rec
Returns
1 Kick returns3 KR yards0 KR TD

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume7
  • Explosiveness44
  • Consistency75
  • Pass-Down50
Player type
Versatile TE

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 consistency75th %ile · above avg
Key findings
  • Top-10% efficiency among TEs — 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.
  • Production faded as the season progressed — 0.67 EPA/play decline from first to second half.
  • Peak game: 2.24 EPA/play in Wk 2 vs UL Monroe (SP+ -22).

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 · TE · 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
Ty ThompsonTulane0.4200.720.2
Seth GreenMinnesota0.3900.032.4
Johnny LanganRutgers0.3000.017.7
Evan SvobodaWyoming0.2900.521.8
Jordan MyersRice0.2700.215.9

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

Game Log · box score + EPA, week by week

+2.2402.24Wk 2 vs UL Monroe: +2.24 EPA/play2Wk 3 vs Wisconsin: +0.21 EPA/play3Wk 5 vs Georgia: +1.59 EPA/play5Wk 11 vs LSU: +0.36 EPA/play11Wk 12 vs Oklahoma: +0.49 EPA/play12Wk 13 vs Eastern Illinois: +1.43 EPA/play13Wk 14 vs Auburn: -0.06 EPA/play14Wk 15 vs Georgia: +0.84 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsUL MonroeW73-0-21.6166.0162.24
3vsWisconsinW38-14-4.411212.00120.21
5@GeorgiaW24-2124.111717.00171.59
9@South CarolinaW29-225.9
11vsLSUW20-910.311010.00100.36
12vsOklahomaL21-2318.312525.00250.49
13vsEastern IllinoisW56-013030.00301.43
14@AuburnW27-2011.6284.005-0.06
15vsGeorgiaL7-2824.134214.00210.84

Usage & Situational · Pro

Snap-share proxy
Overall
2.5%
Passing plays
4.6%
Rushing plays
0.0%
Standard downs
3.1%
Passing downs
1.1%
EPA by down type
Standard downs
0.63
Passing downs
0.63
Pass / Rush EPA
0.63 / —

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.