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Takye Heath

#2Takye Heath

Takye Heath is a Versatile WR for Virginia Tech. Takye's 2025 season produced 13.0 total EPA across 36 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 Takye Heath'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 Receptions200 Rec yards3 Rec TD9.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume18
  • Explosiveness14
  • Consistency45
  • Pass-Down100
Player type
Versatile WR

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 consistency45th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 3 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 — 0.52 EPA/play decline from first to second half.
  • Peak game: 1.39 EPA/play in Wk 6 vs Wake Forest (SP+ 6).

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
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
Keytaon ThompsonVirginia0.3200.412.5
Cade HarrisAir Force0.3300.514.8
Nick NashSan José State0.3100.514.0

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

Game Log · box score + EPA, week by week

+1.3901.39Wk 1 vs South Carolina: +0.08 EPA/play1Wk 5 vs NC State: -0.15 EPA/play5Wk 6 vs Wake Forest: +1.39 EPA/play6Wk 7 vs Georgia Tech: +1.07 EPA/play7Wk 9 vs California: +0.73 EPA/play9Wk 10 vs Louisville: +0.10 EPA/play10Wk 13 vs Miami: +0.00 EPA/play13Wk 14 vs Virginia: -0.51 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSouth CarolinaL11-245.92105.0060.08
5@NC StateW23-214.8221.005-0.15
6vsWake ForestL23-305.73237.71161.39
7@Georgia TechL20-359.345814.50231.07
9vsCaliforniaW42-34-3.246416.02440.73
10vsLouisvilleL16-2812.43165.3070.10
13vsMiamiL17-3420.73248.00140.00
14@VirginiaL7-2711.1133.003-0.51

Usage & Situational · Pro

Snap-share proxy
Overall
6.4%
Passing plays
15.2%
Rushing plays
0.3%
Standard downs
5.6%
Passing downs
8.0%
EPA by down type
Standard downs
0.14
Passing downs
0.68
Pass / Rush EPA
0.37 / 0.10

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.