Skip to content
King Miller

#8King Miller

RB·USC·2026

King Miller is a Explosive Back for USC. King's 2026 season produced 11.7 total EPA across 44 plays.

2026 Usage Outlook · projected share of team plays

19%
projected
band 12%'25 22%26%

Regressed toward the RB mean. Model correlation r≈0.52 on a 2019-2025 walk-forward — volume only; efficiency not projected.

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 King Miller'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.

2026 Production

Rushing
236 Rush yards2 Rush TD48 Carries4.9 Yards/carry
Receiving
2 Receptions6 Rec yards0 Rec TD3.0 Yards/rec

Performance Analysis · 2026 · vs RB peers

  • Efficiency83
  • Volume63
  • Explosiveness38
  • Consistency50
  • Receiving25
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
Peer percentiles
Opponent-adjusted EPA (WEPA/play)83th %ile · above avg
Key findings
  • Above-average efficiency for the RB position (83th percentile).

NIL Market Tier· 2026

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.

Game Log · box score + EPA, week by week

WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
0vsSan José StateW42-26-12.815634.21
1vsFresno StateW39-0-7.615453.00260-0.24

Usage & Situational · Pro

Snap-share proxy
Overall
21.9%
Passing plays
3.0%
Rushing plays
39.0%
Standard downs
24.8%
Passing downs
10.3%
EPA by down type
Standard downs
0.29
Passing downs
0.06
Pass / Rush EPA
-0.13 / 0.28

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.