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Darius Taylor

#1Darius Taylor

Darius Taylor is a Explosive Back for Minnesota.

2026 Usage Outlook · projected share of team plays

26%
projected
band 18%'25 33%33%

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 Darius Taylor'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
71 Rush yards3 Rush TD20 Carries3.5 Yards/carry
Receiving
4 Receptions36 Rec yards0 Rec TD9.0 Yards/rec

Performance Analysis · 2026 · vs RB peers

  • Efficiency88
  • Volume50
  • Explosiveness10
  • Consistency50
  • Receiving51
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)88th %ile · above avg
Key findings
  • Above-average efficiency for the RB position (88th percentile).
  • Peak game: 0.36 EPA/play in Wk 1 vs Eastern Illinois.

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

+0.3600.36Wk 1 vs Eastern Illinois: +0.36 EPA/play1Wk 2 vs Mississippi State: +0.16 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsEastern IllinoisW59-714564.0333100.36
2vsMississippi StateL13-389.46152.501500.16

Usage & Situational · Pro

Snap-share proxy
Overall
17.4%
Passing plays
4.9%
Rushing plays
38.5%
Standard downs
18.4%
Passing downs
14.3%
EPA by down type
Standard downs
0.31
Passing downs
0.26
Pass / Rush EPA
0.83 / 0.20

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.180−0.42
EPA per play · 2024 · 12 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.