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Jordan Lovett

#1Jordan Lovett

RB·Troy·2025

Jordan Lovett is a Committee Back for Troy. Jordan's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 106 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 Jordan Lovett'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
339 Rush yards2 Rush TD89 Carries3.8 Yards/carry
Receiving
13 Receptions86 Rec yards0 Rec TD6.6 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume35
  • Explosiveness16
  • Consistency39
  • Receiving62
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 consistency39th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High game-to-game variance — boom-or-bust profile.

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

+0.8100.81Wk 1 vs Nicholls: -0.14 EPA/play1Wk 2 vs Clemson: -0.81 EPA/play2Wk 3 vs Memphis: +0.03 EPA/play3Wk 4 vs Buffalo: +0.02 EPA/play4Wk 6 vs South Alabama: +0.10 EPA/play6Wk 8 vs UL Monroe: -0.01 EPA/play8Wk 9 vs Louisiana: +0.15 EPA/play9Wk 10 vs Arkansas State: -0.35 EPA/play10Wk 12 vs Old Dominion: -0.46 EPA/play12Wk 13 vs Georgia State: -0.29 EPA/play13Wk 14 vs Southern Miss: +0.03 EPA/play14Wk 15 vs James Madison: +0.10 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsNichollsW38-2010313.10150-0.14
2@ClemsonL16-279.5221.00130-0.81
3vsMemphisL7-287.68506.301100.03
4@BuffaloW21-17-7.58273.401100.02
6vsSouth AlabamaW31-24-12.78394.901800.10
8@UL MonroeW37-14-21.64123.00190-0.01
9vsLouisianaW35-23-10.1211135.420.15
10vsArkansas StateL10-23-8.8263.00-0.35
12@Old DominionL0-335.96132.20-0.46
13vsGeorgia StateW31-19-24.55132.60160-0.29
14@Southern MissW28-18-7.1551.0045400.03
15@James MadisonL14-3112.3263.000.10
20vsJacksonville StateL13-17-6.78222.802-10

Usage & Situational · Pro

Snap-share proxy
Overall
12.4%
Passing plays
4.2%
Rushing plays
21.5%
Standard downs
14.0%
Passing downs
9.4%
EPA by down type
Standard downs
-0.04
Passing downs
-0.15
Pass / Rush EPA
0.07 / -0.10

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.