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Ty Son Lawton

#17Ty Son Lawton

Ty Son Lawton is a Explosive Back for Indiana. Ty's 2024 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 144 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 Ty Son Lawton'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
668 Rush yards12 Rush TD141 Carries4.7 Yards/carry
Receiving
12 Receptions124 Rec yards0 Rec TD10.3 Yards/rec

Performance Analysis · 2024 · vs RB peers

  • Efficiency0
  • Volume52
  • Explosiveness34
  • Consistency68
  • Receiving40
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
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.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.10 EPA/play decline from first to second half.
  • Peak game: 0.63 EPA/play in Wk 8 vs Nebraska (SP+ 6).

NIL Market Tier· 2024

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 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Saquon BarkleyPenn State0.3403.997.9

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

Game Log · box score + EPA, week by week

+0.6300.63Wk 1 vs Florida International: +0.21 EPA/play1Wk 2 vs Western Illinois: +0.49 EPA/play2Wk 3 vs UCLA: -0.23 EPA/play3Wk 4 vs Charlotte: +0.29 EPA/play4Wk 5 vs Maryland: +0.13 EPA/play5Wk 6 vs Northwestern: +0.48 EPA/play6Wk 8 vs Nebraska: +0.63 EPA/play8Wk 9 vs Washington: -0.08 EPA/play9Wk 10 vs Michigan State: +0.32 EPA/play10Wk 11 vs Michigan: +0.09 EPA/play11Wk 13 vs Ohio State: +0.25 EPA/play13Wk 14 vs Purdue: +0.08 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsFlorida InternationalW31-7-12.116744.620.21
2vsWestern IllinoisW77-36427.010.49
3@UCLAW42-13-1.310333.30140-0.23
4vsCharlotteW52-14-15.37355.020.29
5vsMarylandW42-28-3.919934.9121800.13
6vsNorthwesternW41-24-8.210525.2122600.48
8vsNebraskaW56-75.58648.0113500.63
9vsWashingtonW31-173.112413.40120-0.08
10@Michigan StateW47-10-4.66193.2111600.32
11vsMichiganW20-1510.612554.600.09
13@Ohio StateL15-3831.215795.322900.25
14vsPurdueW66-0-16.210474.711400.08
20@Notre DameL17-2723.910343.401100

Usage & Situational · Pro

Snap-share proxy
Overall
18.2%
Passing plays
4.0%
Rushing plays
29.8%
Standard downs
20.7%
Passing downs
11.5%
EPA by down type
Standard downs
0.18
Passing downs
0.17
Pass / Rush EPA
0.32 / 0.16

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.