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LJ Johnson Jr.

#11LJ Johnson Jr.

LJ Johnson Jr. is a Pass-Catching Back for California. LJ's 2025 season produced -4.4 total EPA across 37 plays.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So LJ Johnson Jr.'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

Rushing
108 Rush yards2 Rush TD33 Carries3.3 Yards/carry
Receiving
4 Receptions18 Rec yards0 Rec TD4.5 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume24
  • Explosiveness6
  • Consistency52
  • Receiving75
Player type
Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency52th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • Strong second-half surge — EPA/play improved 0.31 from the first to second half of the season.

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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.

Game Log · box score + EPA, week by week

+0.7100.71Wk 1 vs Oregon State: +0.07 EPA/play1Wk 2 vs Texas Southern: -0.45 EPA/play2Wk 3 vs Minnesota: -0.71 EPA/play3Wk 4 vs San Diego State: -0.03 EPA/play4Wk 5 vs Boston College: +0.08 EPA/play5Wk 6 vs Duke: +0.10 EPA/play6Wk 8 vs North Carolina: -0.34 EPA/play8
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@Oregon StateW34-15-15.98222.800.07
2vsTexas SouthernW35-32147.01220-0.45
3vsMinnesotaW27-141.5122.00-0.71
4@San Diego StateL0-346.710393.90-0.03
5@Boston CollegeW28-24-8.5671.210.08
6vsDukeL21-456.63144.7011400.10
8vsNorth CarolinaW21-18-6.63103.30120-0.34

Usage & Situational · Pro

Snap-share proxy
Overall
8.5%
Passing plays
3.5%
Rushing plays
15.2%
Standard downs
7.9%
Passing downs
9.7%
EPA by down type
Standard downs
-0.05
Passing downs
-0.25
Pass / Rush EPA
-0.52 / 0.03

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.