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Kamrean Johnson

#12Kamrean Johnson

Kamrean Johnson is a Versatile TE for Wake Forest.

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 Kamrean 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
11 Receptions122 Rec yards1 Rec TD11.1 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume9
  • Explosiveness27
  • Consistency56
  • Pass-Down100
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 consistency56th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.98 from the first to second half of the season.
  • Peak game: 1.23 EPA/play in Wk 12 vs North Carolina (SP+ -7).

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
Jackson AckerWisconsin0.2100.115.3

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

Game Log · box score + EPA, week by week

+1.2301.23Wk 2 vs Western Carolina: +0.60 EPA/play2Wk 9 vs SMU: +0.47 EPA/play9Wk 10 vs Florida State: -0.37 EPA/play10Wk 11 vs Virginia: -0.38 EPA/play11Wk 12 vs North Carolina: +1.23 EPA/play12Wk 14 vs Duke: +0.90 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsWestern CarolinaW42-102105.00120.60
9vsSMUW13-1213.412525.00250.47
10@Florida StateL7-427.211111.0011-0.37
11@VirginiaW16-911.1133.003-0.38
12vsNorth CarolinaW28-12-6.623115.50221.23
13vsDelawareW52-14-10.9
14@DukeL32-496.62189.00150.90
20vsMississippi StateW43-294.122412.0114

Usage & Situational · Pro

Snap-share proxy
Overall
3.2%
Passing plays
6.4%
Rushing plays
0.4%
Standard downs
4.0%
Passing downs
1.6%
EPA by down type
Standard downs
0.14
Passing downs
0.47
Pass / Rush EPA
0.20 / 0.13

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.