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TJ Harden

TJ Harden

RB·SMU·2025

TJ Harden is a Committee Back for SMU. TJ's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 160 plays — a developing rate for the RB.

2026 Usage Outlook · projected share of team plays

19%
projected
band 11%'25 21%26%

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

2025 Production

Rushing
787 Rush yards9 Rush TD171 Carries4.6 Yards/carry
Receiving
19 Receptions99 Rec yards1 Rec TD5.2 Yards/rec

Performance Analysis · 2025 · vs RB peers

EfficiencyVolumeExplosivenessConsistencyReceiving
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 consistency71th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High game-to-game consistency — reliable floor each week.
  • Peak game: 0.39 EPA/play in Wk 3 vs Missouri State (SP+ -11).

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
Dalvin CookFlorida State20162920.3404.399.3

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

Game Log · box score + EPA, week by week

Wk 1 vs East Texas A&M: +0.29 EPA/play1Wk 2 vs Baylor: +0.24 EPA/play2Wk 3 vs Missouri State: +0.39 EPA/play3Wk 4 vs TCU: +0.13 EPA/play4Wk 6 vs Syracuse: -0.06 EPA/play6Wk 7 vs Stanford: -0.05 EPA/play7Wk 8 vs Clemson: -0.06 EPA/play8Wk 10 vs Miami: +0.14 EPA/play10Wk 11 vs Boston College: +0.31 EPA/play11Wk 13 vs Louisville: +0.05 EPA/play13Wk 14 vs California: +0.24 EPA/play14Wk 1 vs Arizona: +0.39 EPA/play1
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsEast Texas A&MW42-138425.300.29
2vsBaylorL45-481.4191156.132-700.24
3@Missouri StateW28-10-10.715966.420.39
4@TCUL24-358.315563.7033100.13
6vsSyracuseW31-18-13.116674.20-0.06
7vsStanfordW34-10-11.812393.30-0.05
8@ClemsonW35-249.511161.502100-0.06
9@Wake ForestL12-135.713251.904270
10vsMiamiW26-2020.78273.4121500.14
11@Boston CollegeW45-13-8.5161308.101-300.31
13vsLouisvilleW38-612.418905.002710.05
14@CaliforniaL35-38-3.210444.4131900.24
1vsArizonaW24-1912.010404.020.39

Usage & Situational · Pro

Snap-share proxy
Overall
20.8%
Passing plays
4.0%
Rushing plays
42.3%
Standard downs
24.7%
Passing downs
11.8%
EPA by down type
Standard downs
0.14
Passing downs
0.17
Pass / Rush EPA
0.13 / 0.15

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.