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Harrison Saint Germain
Harrison Saint Germain

#87Harrison Saint Germain

Harrison Saint Germain is a Versatile TE for Virginia Tech.

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 Harrison Saint Germain'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
4 Receptions28 Rec yards0 Rec TD7.0 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume5
  • Explosiveness0
  • Consistency69
  • Pass-Down50
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 consistency69th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Peak game: 1.89 EPA/play in Wk 3 vs Old Dominion (SP+ 6).

NIL Market Tier· 2025

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
Johnny LanganRutgers0.2400.08.9
D'Vaughn PennamonOle Miss0.2000.011.0
Kaden FeaginIllinois0.1500.07.8
Jordan MyersRice0.2700.215.9
Johnny LanganRutgers0.3000.017.7

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

Game Log · box score + EPA, week by week

+1.8901.89Wk 2 vs Vanderbilt: +0.34 EPA/play2Wk 3 vs Old Dominion: +1.89 EPA/play3Wk 14 vs Virginia: +0.10 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsVanderbiltL20-4420.32147.0080.34
3vsOld DominionL26-455.9199.0091.89
14@VirginiaL7-2711.1155.0050.10

Usage & Situational · Pro

Snap-share proxy
Overall
1.7%
Passing plays
3.3%
Rushing plays
0.0%
Standard downs
2.3%
Passing downs
0.0%
EPA by down type
Standard downs
0.22
Passing downs
Pass / Rush EPA
0.22 / —

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.