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Jayvontay Conner
Jayvontay Conner

#8Jayvontay Conner

Jayvontay Conner is a Slot Specialist TE for East Carolina. Jayvontay's 2025 season produced 22.0 total EPA across 32 plays.

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.

2025 Production

Receiving
23 Receptions333 Rec yards3 Rec TD14.5 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume11
  • Explosiveness50
  • Consistency43
  • Pass-Down100
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
Game-to-game consistency43th %ile · below avg
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 7 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 — 0.89 EPA/play decline from first to second half.
  • Peak game: 4.98 EPA/play in Wk 1 vs NC State (SP+ 5).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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
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

+4.9804.98Wk 1 vs NC State: +4.98 EPA/play1Wk 2 vs Campbell: +0.98 EPA/play2Wk 3 vs Coastal Carolina: +1.91 EPA/play3Wk 4 vs BYU: -2.02 EPA/play4Wk 5 vs Army: +1.97 EPA/play5Wk 7 vs Tulane: -0.07 EPA/play7Wk 8 vs Tulsa: +0.52 EPA/play8Wk 10 vs Temple: +0.80 EPA/play10Wk 11 vs Charlotte: +0.11 EPA/play11Wk 12 vs Memphis: +0.05 EPA/play12Wk 13 vs UTSA: +0.80 EPA/play13Wk 14 vs Florida Atlantic: +0.11 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@NC StateL17-244.829849.01794.98
2vsCampbellW56-333210.70180.98
3@Coastal CarolinaW38-0-15.123216.00161.91
4vsBYUL13-3415.9-2.02
5vsArmyW28-60.823115.51201.97
7@TulaneL19-266.311111.0011-0.07
8vsTulsaW41-27-10.02126.0090.52
10@TempleW45-14-5.111313.00130.80
11vsCharlotteW48-22-26.711111.00110.11
12vsMemphisW31-277.611111.00110.05
13@UTSAL24-583.745513.81210.80
14@Florida AtlanticW42-3-8.74276.80110.11

Usage & Situational · Pro

Snap-share proxy
Overall
3.9%
Passing plays
7.6%
Rushing plays
0.8%
Standard downs
2.9%
Passing downs
6.8%
EPA by down type
Standard downs
-0.15
Passing downs
1.64
Pass / Rush EPA
0.80 / -0.40

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.