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Ky Thomas

#3Ky Thomas

Ky Thomas is a Committee Back for Kent State.

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 Ky Thomas'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.

2024 Production

Rushing
550 Rush yards1 Rush TD135 Carries4.1 Yards/carry
Receiving
10 Receptions53 Rec yards0 Rec TD5.3 Yards/rec

Performance Analysis · 2024 · vs RB peers

  • Efficiency0
  • Volume66
  • Explosiveness22
  • Consistency0
  • Receiving31
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 consistency0th %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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.25 from the first to second half of the season.
  • Peak game: 0.37 EPA/play in Wk 8 vs Bowling Green (SP+ -2).

NIL Market Tier· 2024

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

+0.4200.42Wk 1 vs Pittsburgh: -0.25 EPA/play1Wk 2 vs St. Francis (PA): -0.03 EPA/play2Wk 3 vs Tennessee: -0.42 EPA/play3Wk 4 vs Penn State: -0.04 EPA/play4Wk 5 vs Eastern Michigan: -0.03 EPA/play5Wk 7 vs Ball State: +0.06 EPA/play7Wk 8 vs Bowling Green: +0.37 EPA/play8Wk 9 vs Western Michigan: -0.31 EPA/play9Wk 11 vs Ohio: +0.26 EPA/play11Wk 13 vs Akron: +0.07 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@PittsburghL24-554.918402.203150-0.25
2vsSt. Francis (PA)L17-2311393.504260-0.03
3@TennesseeL0-7122.07101.40120-0.42
4@Penn StateL0-5624.64164.00-0.04
5vsEastern MichiganL33-52-13.36355.80-0.03
7vsBall StateL35-37-19.817673.910.06
8@Bowling GreenL6-27-1.8141218.600.37
9@Western MichiganL21-52-10.215624.10110-0.31
11vsOhioL0-412.315503.301900.26
12@Miami (OH)L7-341.315583.90
13vsAkronL17-38-17.913524.000.07

Usage & Situational · Pro

Snap-share proxy
Overall
23.1%
Passing plays
4.0%
Rushing plays
42.1%
Standard downs
27.3%
Passing downs
17.0%
EPA by down type
Standard downs
-0.07
Passing downs
0.19
Pass / Rush EPA
0.24 / -0.02

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.