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Garrett Oakley

#86Garrett Oakley

Garrett Oakley is a Versatile TE for Kansas State. Garrett's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 60 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 Garrett Oakley'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
38 Receptions389 Rec yards6 Rec TD10.2 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume25
  • Explosiveness22
  • Consistency76
  • Pass-Down95
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 consistency76th %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.
  • 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 — 0.24 EPA/play decline from first to second half.
  • Peak game: 1.85 EPA/play in Wk 2 vs Army (SP+ 1).

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 · 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

+1.8501.85Wk 1 vs North Dakota: +1.10 EPA/play1Wk 2 vs Army: +1.85 EPA/play2Wk 3 vs Arizona: -0.04 EPA/play3Wk 5 vs UCF: +0.54 EPA/play5Wk 6 vs Baylor: +0.44 EPA/play6Wk 7 vs TCU: +1.06 EPA/play7Wk 10 vs Texas Tech: +0.23 EPA/play10Wk 12 vs Oklahoma State: +0.12 EPA/play12Wk 13 vs Utah: +1.29 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0vsIowa StateL21-249.956212.4024
1vsNorth DakotaW38-3522110.50121.10
2vsArmyL21-240.812121.00211.85
3@ArizonaL17-2312.0461.504-0.04
5vsUCFW34-20-1.223618.01350.54
6@BaylorL34-351.47547.71130.44
7vsTCUW41-288.347117.82321.06
10vsTexas TechL20-4327.656212.41280.23
12@Oklahoma StateW14-6-15.14235.80110.12
13@UtahL47-5122.24338.31151.29

Usage & Situational · Pro

Snap-share proxy
Overall
8.6%
Passing plays
17.6%
Rushing plays
0.3%
Standard downs
7.0%
Passing downs
11.4%
EPA by down type
Standard downs
0.31
Passing downs
0.58
Pass / Rush EPA
0.46 / -0.96

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.