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Ty Robinson

#10Ty Robinson

Ty Robinson is a Slot Specialist WR for Ball State.

What projects, and what doesn't · WRs · 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)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Ty Robinson'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

Receiving
11 Receptions113 Rec yards0 Rec TD10.3 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume13
  • Explosiveness22
  • Consistency52
  • Pass-Down53
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency52th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 2.00 EPA/play in Wk 2 vs Auburn (SP+ 12).

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 · WR · 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
Tyler BuchnerNotre Dame0.2500.312.8
Brandon ChatmanNavy0.2300.612.0
Samajie GrantArizona0.2500.315.5
Justin LynchTemple0.2400.315.1
Nick NashSan José State0.3100.514.0

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

Game Log · box score + EPA, week by week

+2.0002.00Wk 1 vs Purdue: -0.40 EPA/play1Wk 2 vs Auburn: +2.00 EPA/play2Wk 7 vs Western Michigan: +0.23 EPA/play7Wk 8 vs Akron: +0.28 EPA/play8Wk 9 vs Northern Illinois: +1.39 EPA/play9Wk 11 vs Kent State: +0.50 EPA/play11Wk 12 vs Eastern Michigan: +0.86 EPA/play12Wk 13 vs Toledo: -0.70 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@PurdueL0-31-6.1294.507-0.40
2@AuburnL3-4211.611616.00162.00
7@Western MichiganL0-42-1.422110.50150.23
8vsAkronW42-28-13.90.28
9@Northern IllinoisL7-21-16.733712.30161.39
11vsKent StateW17-13-19.312121.00210.50
12vsEastern MichiganL9-24-14.7294.5050.86
13@ToledoL9-386.0-0.70

Usage & Situational · Pro

Snap-share proxy
Overall
4.5%
Passing plays
10.5%
Rushing plays
0.0%
Standard downs
1.9%
Passing downs
9.0%
EPA by down type
Standard downs
0.22
Passing downs
0.24
Pass / Rush EPA
0.24 / —

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.