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Jacob Harris

#89Jacob Harris

Jacob Harris is a Red Zone Weapon TE for Bowling Green.

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 Jacob Harris'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
19 Receptions182 Rec yards5 Rec TD9.6 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume12
  • Explosiveness17
  • Consistency67
  • Pass-Down58
Player type
Red Zone Weapon TE

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency67th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.34 EPA/play decline from first to second half.
  • Peak game: 2.32 EPA/play in Wk 7 vs Toledo (SP+ 6).

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

+2.3202.32Wk 1 vs Lafayette: +0.19 EPA/play1Wk 2 vs Cincinnati: -0.47 EPA/play2Wk 3 vs Liberty: +1.68 EPA/play3Wk 4 vs Louisville: +0.97 EPA/play4Wk 7 vs Toledo: +2.32 EPA/play7Wk 8 vs Central Michigan: +0.53 EPA/play8Wk 9 vs Kent State: +1.46 EPA/play9Wk 11 vs Eastern Michigan: +1.08 EPA/play11Wk 13 vs Akron: +0.35 EPA/play13Wk 14 vs Massachusetts: -0.41 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsLafayetteW26-7166.0060.19
2@CincinnatiL20-344.5252.505-0.47
3vsLibertyW23-13-9.022110.51121.68
4@LouisvilleL17-4012.434615.31380.97
7vsToledoW28-236.0188.0182.32
8vsCentral MichiganL6-27-8.82157.5090.53
9@Kent StateL21-24-19.322311.51131.46
11@Eastern MichiganL21-27-14.722311.50161.08
13vsAkronL16-19-13.922914.51210.35
14@MassachusettsW45-14-36.6263.005-0.41

Usage & Situational · Pro

Snap-share proxy
Overall
4.1%
Passing plays
10.3%
Rushing plays
0.0%
Standard downs
2.4%
Passing downs
7.6%
EPA by down type
Standard downs
0.55
Passing downs
0.60
Pass / Rush EPA
0.58 / —

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.