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Johnmichael Gyllenborg
Johnmichael Gyllenborg

Johnmichael Gyllenborg

Johnmichael Gyllenborg is a Versatile TE for Wyoming. Johnmichael's 2025 season produced 15.4 total EPA across 38 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 Johnmichael Gyllenborg'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
24 Receptions217 Rec yards1 Rec TD9.0 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume23
  • Explosiveness14
  • Consistency73
  • Pass-Down30
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 consistency73th %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.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.09 EPA/play decline from first to second half.
  • Peak game: 1.13 EPA/play in Wk 10 vs San Diego State (SP+ 7).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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

+1.1301.13Wk 1 vs Akron: -0.24 EPA/play1Wk 2 vs Northern Iowa: +0.78 EPA/play2Wk 10 vs San Diego State: +1.13 EPA/play10Wk 12 vs Fresno State: +0.15 EPA/play12Wk 13 vs Nevada: +0.81 EPA/play13Wk 14 vs Hawai'i: +0.44 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@AkronW10-0-13.93196.308-0.24
2vsNorthern IowaW31-756513.01230.78
10@San Diego StateL7-246.73268.70131.13
12@Fresno StateL3-241.85367.20130.15
13vsNevadaL7-13-13.423216.00240.81
14@Hawai'iL7-271.76396.50110.44

Usage & Situational · Pro

Snap-share proxy
Overall
7.9%
Passing plays
15.8%
Rushing plays
0.0%
Standard downs
7.2%
Passing downs
9.2%
EPA by down type
Standard downs
0.45
Passing downs
0.34
Pass / Rush EPA
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.