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Jayvontay Conner
Jayvontay Conner

#8Jayvontay Conner

Jayvontay Conner is a Slot Specialist TE for Vanderbilt.

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 Jayvontay Conner'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
4 Receptions30 Rec yards0 Rec TD7.5 Yards/rec

Performance Analysis · 2026 · vs TE peers

  • Efficiency100
  • Volume30
  • Explosiveness3
  • Consistency50
  • Pass-Down76
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
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.70 EPA/play in Wk 2 vs Delaware (SP+ -8).

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
Kaden FeaginIllinois0.1500.07.8
Johnny LanganRutgers0.2400.08.9
D'Vaughn PennamonOle Miss0.2000.011.0
Robby PreckelNorthwestern0.0600.12.5
Jackson AckerWisconsin0.2100.115.3

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

Game Log · box score + EPA, week by week

+0.7000.70Wk 1 vs Austin Peay: +0.17 EPA/play1Wk 2 vs Delaware: +0.70 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsAustin PeayW28-94307.50110.17
2vsDelawareW35-26-7.668714.50310.70

Usage & Situational · Pro

Snap-share proxy
Overall
10.4%
Passing plays
24.1%
Rushing plays
0.0%
Standard downs
7.2%
Passing downs
18.9%
EPA by down type
Standard downs
0.07
Passing downs
0.23
Pass / Rush EPA
0.17 / —

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.