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Jyrin Johnson

#7Jyrin Johnson

Jyrin Johnson is a Slot Specialist TE for Bowling Green. Jyrin's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 58 plays — a elite rate for the TE.

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 Jyrin Johnson'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
37 Receptions466 Rec yards2 Rec TD12.6 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume23
  • Explosiveness37
  • Consistency77
  • Pass-Down40
Player type
Slot Specialist TE

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency77th %ile · above avg
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.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 0.99 EPA/play in Wk 2 vs Cincinnati (SP+ 5).

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

+0.9900.99Wk 1 vs Lafayette: +0.83 EPA/play1Wk 2 vs Cincinnati: +0.99 EPA/play2Wk 3 vs Liberty: +0.87 EPA/play3Wk 4 vs Louisville: -0.02 EPA/play4Wk 5 vs Ohio: -0.14 EPA/play5Wk 7 vs Toledo: +0.35 EPA/play7Wk 8 vs Central Michigan: +0.20 EPA/play8Wk 9 vs Kent State: +0.24 EPA/play9Wk 10 vs Buffalo: +0.29 EPA/play10Wk 11 vs Eastern Michigan: +0.77 EPA/play11Wk 13 vs Akron: +0.48 EPA/play13Wk 14 vs Massachusetts: +0.79 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsLafayetteW26-712222.00220.83
2@CincinnatiL20-344.578011.41310.99
3vsLibertyW23-13-9.023618.00210.87
4@LouisvilleL17-4012.412121.0021-0.02
5@OhioL20-35-4.0155.005-0.14
7vsToledoW28-236.03258.30160.35
8vsCentral MichiganL6-27-8.85367.20170.20
9@Kent StateL21-24-19.335317.70290.24
10vsBuffaloL3-28-7.556913.80220.29
11@Eastern MichiganL21-27-14.74369.01230.77
13vsAkronL16-19-13.936321.00380.48
14@MassachusettsW45-14-36.622010.00100.79

Usage & Situational · Pro

Snap-share proxy
Overall
8.0%
Passing plays
19.9%
Rushing plays
0.0%
Standard downs
5.3%
Passing downs
13.3%
EPA by down type
Standard downs
0.46
Passing downs
0.40
Pass / Rush EPA
0.42 / —

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.