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Ty Clark III
Ty Clark III

#4Ty Clark III

RB·Wake Forest·2025

Ty Clark III is a Pass-Catching Back for Wake Forest. Ty's 2025 season produced 14.1 total EPA across 30 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 Ty Clark III'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
323 Rush yards3 Rush TD75 Carries4.3 Yards/carry
Receiving
17 Receptions209 Rec yards1 Rec TD12.3 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency100
  • Volume25
  • Explosiveness26
  • Consistency26
  • Receiving100
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)100th %ile · elite
Game-to-game consistency26th %ile · below avg
Key findings
  • ▸Top-10% efficiency among RBs — elite opponent-adjusted EPA rate.
  • ▸Limited usage share suggests a rotational or specialist role.
  • ▸High game-to-game variance — boom-or-bust profile.
  • ▸3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • ▸Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • ▸Peak game: 0.94 EPA/play in Wk 14 vs Duke (SP+ 7).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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

+0.940−0.94Wk 1 vs Kennesaw State: +0.00 EPA/play1Wk 2 vs Western Carolina: -0.85 EPA/play2Wk 5 vs Georgia Tech: -0.02 EPA/play5Wk 6 vs Virginia Tech: +0.59 EPA/play6Wk 7 vs Oregon State: +0.84 EPA/play7Wk 14 vs Duke: +0.94 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsKennesaw StateW10-9-5.411373.402800.00
2vsWestern CarolinaW42-10—7192.70190-0.85
5vsGeorgia TechL29-309.35122.40———-0.02
6@Virginia TechW30-23-10.14225.5131800.59
7@Oregon StateW39-14-15.9210.5022400.84
9vsSMUW13-1213.44123.001110—
10@Florida StateL7-427.27223.101100—
11@VirginiaW16-911.1362.001220—
12vsNorth CarolinaW28-12-6.66223.70————
13vsDelawareW52-14-10.97669.41————
14@DukeL32-496.62136.5133400.94
20vsMississippi StateW43-294.117915.403731—

Usage & Situational · Pro

Snap-share proxy
Overall
8.6%
Passing plays
4.8%
Rushing plays
12.5%
Standard downs
8.9%
Passing downs
8.1%
EPA by down type
Standard downs
0.23
Passing downs
0.94
Pass / Rush EPA
0.97 / 0.22

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.