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Darius Taylor

#1Darius Taylor

Darius Taylor is a Pass-Catching Back for Minnesota. Darius's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 191 plays — a developing rate for the RB.

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.

2025 Production

Rushing
670 Rush yards4 Rush TD143 Carries4.7 Yards/carry
Receiving
34 Receptions245 Rec yards0 Rec TD7.2 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume92
  • Explosiveness34
  • Consistency0
  • Receiving94
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 consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High-volume role — one of the team's most-used RBs by play share.
  • High game-to-game variance — boom-or-bust profile.

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 · RB · 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
Saquon BarkleyPenn State0.3403.997.9

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

Game Log · box score + EPA, week by week

+0.5600.56Wk 1 vs Buffalo: +0.20 EPA/play1Wk 2 vs Northwestern State: +0.23 EPA/play2Wk 6 vs Ohio State: -0.21 EPA/play6Wk 7 vs Purdue: -0.13 EPA/play7Wk 8 vs Nebraska: +0.05 EPA/play8Wk 9 vs Iowa: -0.56 EPA/play9Wk 12 vs Oregon: +0.29 EPA/play12Wk 13 vs Northwestern: +0.19 EPA/play13Wk 14 vs Wisconsin: +0.03 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsBuffaloW23-10-7.5301414.7043600.20
2vsNorthwestern StateW66-03206.701900.23
6@Ohio StateL3-4230.18121.50160-0.21
7vsPurdueW27-20-6.114322.306670-0.13
8vsNebraskaW24-66.2241486.2141600.05
9@IowaL3-4119.7111.00-0.56
12@OregonL13-4225.910575.7044000.29
13vsNorthwesternL35-385.810434.3163700.19
14vsWisconsinW17-7-4.4191005.3141100.03
20vsNew MexicoW20-170.9241164.814230

Usage & Situational · Pro

Snap-share proxy
Overall
32.2%
Passing plays
16.6%
Rushing plays
50.7%
Standard downs
34.0%
Passing downs
28.3%
EPA by down type
Standard downs
0.08
Passing downs
-0.00
Pass / Rush EPA
0.14 / 0.03

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.