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Kenyon Sadiq

#18Kenyon Sadiq

Kenyon Sadiq is a Slot Specialist TE for Oregon. Kenyon's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 66 plays — a elite rate for the TE.

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 Kenyon Sadiq'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
51 Receptions560 Rec yards8 Rec TD11.0 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume23
  • Explosiveness27
  • Consistency65
  • Pass-Down0
Player type
Slot Specialist TE

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 consistency65th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.70 EPA/play decline from first to second half.
  • Peak game: 2.29 EPA/play in Wk 8 vs Rutgers (SP+ 1).

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

+2.2902.29Wk 1 vs Montana State: +0.47 EPA/play1Wk 2 vs Oklahoma State: +2.02 EPA/play2Wk 3 vs Northwestern: +1.87 EPA/play3Wk 4 vs Oregon State: +0.19 EPA/play4Wk 5 vs Penn State: +0.06 EPA/play5Wk 7 vs Indiana: +0.56 EPA/play7Wk 8 vs Rutgers: +2.29 EPA/play8Wk 9 vs Wisconsin: -0.41 EPA/play9Wk 12 vs Minnesota: +1.18 EPA/play12Wk 13 vs USC: +1.27 EPA/play13Wk 14 vs Washington: -0.58 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsMontana StateW59-1312020.01200.47
2vsOklahoma StateW69-3-15.124020.00262.02
3@NorthwesternW34-145.823517.51241.87
4vsOregon StateW41-7-15.946015.01240.19
5@Penn StateW30-2418.16498.20230.06
7vsIndianaL20-3032.422110.50130.56
8@RutgersW56-101.048020.02302.29
9vsWisconsinW21-7-4.4166.006-0.41
12vsMinnesotaW42-131.589612.01231.18
13vsUSCW42-2716.967212.02281.27
14@WashingtonW26-1418.44112.805-0.58
20vsIndianaL22-5632.45295.8021
20vsTexas TechW23-027.64225.5011
20vsJames MadisonW51-3412.32199.5016

Usage & Situational · Pro

Snap-share proxy
Overall
7.9%
Passing plays
16.4%
Rushing plays
0.6%
Standard downs
6.8%
Passing downs
10.8%
EPA by down type
Standard downs
0.68
Passing downs
0.38
Pass / Rush EPA
0.61 / -0.19

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.