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Jacob Petersen

#89Jacob Petersen

Jacob Petersen is a Versatile TE for Toledo. Jacob's 2025 season produced 17.8 total EPA across 36 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 Jacob Petersen'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
25 Receptions335 Rec yards3 Rec TD13.4 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume12
  • Explosiveness43
  • Consistency50
  • Pass-Down0
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 consistency50th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 2.51 EPA/play in Wk 7 vs Bowling Green (SP+ -13).

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

+2.5102.51Wk 1 vs Kentucky: -0.10 EPA/play1Wk 2 vs Western Kentucky: +0.21 EPA/play2Wk 3 vs Morgan State: -0.13 EPA/play3Wk 4 vs Western Michigan: -0.15 EPA/play4Wk 5 vs Akron: +0.83 EPA/play5Wk 7 vs Bowling Green: +2.51 EPA/play7Wk 8 vs Kent State: +0.13 EPA/play8Wk 9 vs Washington State: +1.02 EPA/play9Wk 11 vs Northern Illinois: +0.10 EPA/play11Wk 12 vs Miami (OH): +1.21 EPA/play12Wk 13 vs Ball State: +0.65 EPA/play13Wk 14 vs Central Michigan: -0.56 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@KentuckyL16-241.822110.5014-0.10
2vsWestern KentuckyW45-211.624020.00260.21
3vsMorgan StateW60-012121.0021-0.13
4@Western MichiganL13-14-1.42126.0010-0.15
5vsAkronW45-3-13.912828.00280.83
7@Bowling GreenL23-28-12.624120.51242.51
8vsKent StateW45-10-19.311212.00120.13
9@Washington StateL7-283.855811.60211.02
11vsNorthern IllinoisW42-3-16.72136.5070.10
12@Miami (OH)W24-3-3.42126.0161.21
13vsBall StateW38-9-23.011010.00100.65
14@Central MichiganW21-3-8.8177.007-0.56
20vsLouisvilleL22-2712.436020.0126

Usage & Situational · Pro

Snap-share proxy
Overall
4.2%
Passing plays
9.1%
Rushing plays
0.0%
Standard downs
3.9%
Passing downs
4.9%
EPA by down type
Standard downs
0.64
Passing downs
0.23
Pass / Rush EPA
0.49 / —

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.