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Jeremy Payne

#26Jeremy Payne

RB·TCU·2025

Jeremy Payne is a Pass-Catching Back for TCU. Jeremy's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 132 plays — a developing rate for the RB.

2026 Usage Outlook · projected share of team plays

17%
projected
band 9%'25 17%24%

Regressed toward the RB mean. Model correlation r≈0.52 on a 2019-2025 walk-forward — volume only; efficiency not projected.

2025 Production

Rushing
623 Rush yards5 Rush TD110 Carries5.7 Yards/carry
Receiving
22 Receptions207 Rec yards2 Rec TD9.4 Yards/rec

Performance Analysis · 2025 · vs RB peers

EfficiencyVolumeExplosivenessConsistencyReceiving
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 consistency68th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.30 from the first to second half of the season.
  • Peak game: 0.45 EPA/play in Wk 1 vs USC (SP+ 17).

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 2014–2024 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamYrPlaysWEPA/playLine valTotal EPA
Saquon BarkleyPenn State20162880.3403.997.9

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

Game Log · box score + EPA, week by week

Wk 1 vs North Carolina: -0.15 EPA/play1Wk 3 vs Abilene Christian: +0.14 EPA/play3Wk 4 vs SMU: +0.16 EPA/play4Wk 5 vs Arizona State: -0.14 EPA/play5Wk 7 vs Kansas State: +0.11 EPA/play7Wk 8 vs Baylor: +0.09 EPA/play8Wk 11 vs Iowa State: +0.19 EPA/play11Wk 12 vs BYU: +0.39 EPA/play12Wk 13 vs Houston: +0.32 EPA/play13Wk 14 vs Cincinnati: +0.28 EPA/play14Wk 1 vs USC: +0.45 EPA/play1
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@North CarolinaW48-14-6.67284.003160-0.15
3vsAbilene ChristianW42-214297.3011700.14
4vsSMUW35-2413.412534.4032910.16
5@Arizona StateL24-273.96203.314160-0.14
7@Kansas StateL28-417.0221.012300.11
8vsBaylorW42-361.45153.000.09
11vsIowa StateL17-209.98718.900.19
12@BYUL13-4415.99556.1011700.39
13@HoustonW17-147.4181035.7011500.32
14vsCincinnatiW45-234.5261746.7214400.28
1vsUSCW30-2716.913735.6165010.45

Usage & Situational · Pro

Snap-share proxy
Overall
17.2%
Passing plays
6.8%
Rushing plays
29.8%
Standard downs
18.9%
Passing downs
13.4%
EPA by down type
Standard downs
0.13
Passing downs
0.49
Pass / Rush EPA
0.62 / 0.11

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.