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Jordan Lyle

#2Jordan Lyle

RB·Miami·2025

Jordan Lyle is a Committee Back for Miami. Jordan's 2025 season produced -6.3 total EPA across 37 plays.

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 Jordan Lyle'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
108 Rush yards1 Rush TD35 Carries3.1 Yards/carry
Receiving
3 Receptions22 Rec yards0 Rec TD7.3 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume28
  • Explosiveness2
  • Consistency57
  • Receiving41
Player type
Committee Back

Part of a rotation — contributes in a complementary role and keeps the featured back fresh.

Rotational roleSituational use
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency57th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.15 from the first to second half of the season.

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.

Game Log · box score + EPA, week by week

+0.3200.32Wk 1 vs Notre Dame: -0.21 EPA/play1Wk 6 vs Florida State: -0.32 EPA/play6Wk 8 vs Louisville: -0.14 EPA/play8Wk 9 vs Stanford: +0.31 EPA/play9Wk 10 vs SMU: -0.27 EPA/play10Wk 11 vs Syracuse: -0.27 EPA/play11
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsNotre DameW27-2424.45112.20-0.21
6@Florida StateW28-227.27182.60190-0.32
8vsLouisvilleL21-2412.45153.00160-0.14
9vsStanfordW42-7-11.84246.010.31
10@SMUL20-2613.47233.30-0.27
11vsSyracuseW38-10-13.17172.40170-0.27

Usage & Situational · Pro

Snap-share proxy
Overall
9.8%
Passing plays
2.2%
Rushing plays
17.1%
Standard downs
11.3%
Passing downs
5.6%
EPA by down type
Standard downs
-0.19
Passing downs
-0.05
Pass / Rush EPA
0.06 / -0.20

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.