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TJ Horton

#4TJ Horton

TJ Horton is a Pass-Catching Back for Ball State.

2026 Usage Outlook · projected share of team plays

14%
projected
band 7%'25 12%21%

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 TJ Horton'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
129 Rush yards1 Rush TD15 Carries8.6 Yards/carry
Receiving
7 Receptions2 Rec yards0 Rec TD0.3 Yards/rec
Returns
2 Kick returns39 KR yards0 KR TD

Performance Analysis · 2026 · vs RB peers

  • Efficiency0
  • Volume50
  • Explosiveness100
  • Consistency50
  • Receiving100
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
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.

NIL Market Tier· 2026

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

+0.5800.58Wk 1 vs Ohio State: -0.58 EPA/play1Wk 2 vs Stony Brook: +0.08 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@Ohio StateL3-5630.0640.70460-0.58
2vsStony BrookW41-17912513.913-400.08

Usage & Situational · Pro

Snap-share proxy
Overall
17.4%
Passing plays
11.0%
Rushing plays
27.8%
Standard downs
19.0%
Passing downs
14.6%
EPA by down type
Standard downs
0.02
Passing downs
-0.66
Pass / Rush EPA
-0.92 / 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.
Tj Horton Stats, EPA & Player Profile — Ball State · Gridpex