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J'mari Taylor

#3J'mari Taylor

RB·Virginia·20251.6 pts line valueDay 3 (Rds 4–7)

J'mari Taylor is a Pass-Catching Back for Virginia. J'mari's 2025 season ranks in the 8th percentile nationally by opponent-adjusted EPA per play across 272 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 J'mari 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
1062 Rush yards14 Rush TD222 Carries4.8 Yards/carry
Receiving
43 Receptions253 Rec yards1 Rec TD5.9 Yards/rec
Returns
1 Kick returns20 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency8
  • Volume82
  • Explosiveness36
  • Consistency60
  • Receiving76
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)8th %ile · below avg
Game-to-game consistency60th %ile · average
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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.16 EPA/play decline from first to second half.
  • Peak game: 0.48 EPA/play in Wk 4 vs Stanford (SP+ -12).

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.

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
Dalvin CookFlorida State0.3404.399.3
Breece HallIowa State0.3404.5102.3
Donnel PumphreySan Diego State0.3204.2110.1
Eno BenjaminArizona State0.3304.6104.3

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

Game Log · box score + EPA, week by week

+0.4800.48Wk 1 vs Coastal Carolina: +0.18 EPA/play1Wk 2 vs NC State: +0.46 EPA/play2Wk 3 vs William & Mary: +0.14 EPA/play3Wk 4 vs Stanford: +0.48 EPA/play4Wk 5 vs Florida State: -0.01 EPA/play5Wk 6 vs Louisville: +0.27 EPA/play6Wk 8 vs Washington State: -0.02 EPA/play8Wk 9 vs North Carolina: -0.26 EPA/play9Wk 10 vs California: +0.12 EPA/play10Wk 11 vs Wake Forest: -0.13 EPA/play11Wk 12 vs Duke: +0.32 EPA/play12Wk 14 vs Virginia Tech: +0.21 EPA/play14Wk 15 vs Duke: +0.31 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsCoastal CarolinaW48-7-15.110323.223400.18
2@NC StateL31-354.8171508.8321300.46
3vsWilliam & MaryW55-166315.210.14
4vsStanfordW48-20-11.815855.7032700.48
5vsFlorida StateW46-387.227993.713160-0.01
6@LouisvilleW30-2712.416684.3162900.27
8vsWashington StateW22-203.817472.802130-0.02
9@North CarolinaW17-16-6.621693.314110-0.26
10@CaliforniaW31-21-3.2211055.0241700.12
11vsWake ForestL9-165.719985.207300-0.13
12@DukeW34-176.6181337.4212500.32
14vsVirginia TechW27-7-10.120804.0143400.21
15vsDukeL20-276.615654.3043410.31

Usage & Situational · Pro

Snap-share proxy
Overall
28.8%
Passing plays
12.0%
Rushing plays
45.4%
Standard downs
32.5%
Passing downs
20.7%
EPA by down type
Standard downs
0.10
Passing downs
0.27
Pass / Rush EPA
0.11 / 0.15

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.560−0.33
EPA per play · 2025 · 13 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.