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Gavin Bartholomew
Gavin Bartholomew

#86Gavin Bartholomew

Gavin Bartholomew is a Versatile TE for Pittsburgh. Gavin's 2024 season produced 23.2 total EPA across 37 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 Gavin Bartholomew'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.

2024 Production

Receiving
38 Receptions329 Rec yards4 Rec TD8.7 Yards/rec

Performance Analysis · 2024 · vs TE peers

  • Efficiency100
  • Volume13
  • Explosiveness11
  • Consistency71
  • Pass-Down56
Player type
Versatile TE

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 consistency71th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • 8 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.79 from the first to second half of the season.
  • Peak game: 2.04 EPA/play in Wk 14 vs Boston College (SP+ 1).

NIL Market Tier· 2024

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

+2.0402.04Wk 1 vs Kent State: +0.97 EPA/play1Wk 2 vs Cincinnati: +0.68 EPA/play2Wk 3 vs West Virginia: +0.76 EPA/play3Wk 4 vs Youngstown State: -0.60 EPA/play4Wk 6 vs North Carolina: +0.27 EPA/play6Wk 7 vs California: +0.45 EPA/play7Wk 9 vs Syracuse: -0.10 EPA/play9Wk 10 vs SMU: +0.28 EPA/play10Wk 11 vs Virginia: +1.25 EPA/play11Wk 12 vs Clemson: +0.94 EPA/play12Wk 13 vs Louisville: +1.52 EPA/play13Wk 14 vs Boston College: +2.04 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsKent StateW55-24-33.056613.20210.97
2@CincinnatiW28-27-0.122512.50130.68
3vsWest VirginiaW38-342.122010.00170.76
4vsYoungstown StateW73-17320.705-0.60
6@North CarolinaW34-245.02115.5090.27
7vsCaliforniaW17-154.03299.70130.45
9vsSyracuseW41-135.53217.0021-0.10
10@SMUL25-4817.54215.30100.28
11vsVirginiaL19-24-5.13299.71201.25
12vsClemsonL20-2413.34328.01110.94
13@LouisvilleL9-3713.63289.30111.52
14@Boston CollegeL23-341.23268.72112.04
20vsToledoL46-48-2.511919.0019

Usage & Situational · Pro

Snap-share proxy
Overall
4.6%
Passing plays
7.7%
Rushing plays
0.3%
Standard downs
4.2%
Passing downs
5.5%
EPA by down type
Standard downs
0.61
Passing downs
0.65
Pass / Rush EPA
0.65 / -0.24

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.