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Hawkins Polley

#86Hawkins Polley

Hawkins Polley is a Vertical Threat TE for Baylor.

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 Hawkins Polley'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
1 Receptions20 Rec yards0 Rec TD20.0 Yards/rec

Performance Analysis · 2026 · vs TE peers

  • Efficiency100
  • Volume6
  • Explosiveness87
  • Consistency50
  • Pass-Down100
Player type
Vertical Threat TE

Elite deep receiver who stretches the field. Wins downfield, commands safety attention, and creates the threat that opens underneath routes.

Downfield threatYAC upsideCreates space for teammates
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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.

NIL Market Tier· 2026

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Johnny LanganRutgers0.2400.08.9
D'Vaughn PennamonOle Miss0.2000.011.0
Jordan MyersRice0.2700.215.9
Johnny LanganRutgers0.3000.017.7
Kaden FeaginIllinois0.1500.07.8

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

Game Log · box score + EPA, week by week

+0.2500.25Wk 1 vs Auburn: +0.25 EPA/play1Wk 2 vs Prairie View A&M: -0.14 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsAuburnL16-177.012020.00200.25
2vsPrairie View A&MW44-3144.004-0.14

Usage & Situational · Pro

Snap-share proxy
Overall
2.2%
Passing plays
4.1%
Rushing plays
0.0%
Standard downs
0.8%
Passing downs
5.6%
EPA by down type
Standard downs
-0.94
Passing downs
0.84
Pass / Rush EPA
0.25 / —

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.