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Brooks Johnson

#11Brooks Johnson

Brooks Johnson is a Versatile TE for Coastal Carolina.

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 Brooks 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 Receptions87 Rec yards1 Rec TD7.9 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume11
  • Explosiveness6
  • Consistency0
  • Pass-Down72
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 consistency0th %ile · below 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 variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.49 EPA/play decline from first to second half.
  • Peak game: 0.93 EPA/play in Wk 6 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
Robby PreckelNorthwestern0.0600.12.5
Kaden FeaginIllinois0.1500.07.8
Blake BellOklahoma0.0700.14.4
A.J. DoyleMassachusetts0.0400.02.1
Jaheim BellSouth Carolina0.1100.08.0

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

Game Log · box score + EPA, week by week

+0.9300.93Wk 1 vs Virginia: +0.24 EPA/play1Wk 4 vs South Alabama: -0.15 EPA/play4Wk 6 vs Old Dominion: +0.93 EPA/play6Wk 7 vs UL Monroe: +0.41 EPA/play7Wk 8 vs App State: -0.32 EPA/play8Wk 14 vs James Madison: -0.56 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@VirginiaL7-4811.123618.00220.24
4@South AlabamaW38-20-12.711414.0014-0.15
6@Old DominionL7-475.92115.5080.93
7vsUL MonroeW23-8-21.63186.01110.41
8@App StateW45-37-11.4263.004-0.32
14vsJames MadisonL10-5912.3122.002-0.56

Usage & Situational · Pro

Snap-share proxy
Overall
3.9%
Passing plays
8.6%
Rushing plays
0.0%
Standard downs
3.7%
Passing downs
4.4%
EPA by down type
Standard downs
0.06
Passing downs
0.19
Pass / Rush EPA
0.12 / —

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.