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Kari Ashley

#81Kari Ashley

TE·TCU·2026

Kari Ashley is a Red Zone Weapon TE for TCU.

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 Kari Ashley'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.

2026 Production

Receiving
10 Receptions136 Rec yards2 Rec TD13.6 Yards/rec

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

13
Targets
10.2y
Avg depth
6.2y
After catch
77%
Catch rate

The ball travels 10.2 yards in the air on an average target 1.3 yards deeper than the median. Another 6.2 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
2
100% · 60y
1
0% · 0y
1
0% · 0y
short
3
67% · 38y
0
6
100% · 38y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2026 · vs TE peers

  • Efficiency100
  • Volume26
  • Explosiveness44
  • Consistency50
  • Pass-Down0
Player type
Red Zone Weapon TE

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Peak game: 0.56 EPA/play in Wk 2 vs Grambling.

NIL Market Tier· 2026

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
Johnny LanganRutgers0.3000.017.7
Seth GreenMinnesota0.3900.032.4
Jordan MyersRice0.2700.215.9
Johnny LanganRutgers0.2400.08.9

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

Game Log · box score + EPA, week by week

WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0vsNorth CarolinaL10-155.83175.7012
2vsGramblingW63-7711917.02370.56

Usage & Situational · Pro

Snap-share proxy
Overall
9.2%
Passing plays
19.4%
Rushing plays
0.0%
Standard downs
7.8%
Passing downs
12.8%
EPA by down type
Standard downs
0.64
Passing downs
0.03
Pass / Rush EPA
0.39 / —

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.