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Kye Robichaux

#5Kye Robichaux

Kye Robichaux is a Committee Back for Boston College.

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 Kye Robichaux'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
744 Rush yards10 Rush TD175 Carries4.3 Yards/carry
Receiving
9 Receptions44 Rec yards1 Rec TD4.9 Yards/rec

Performance Analysis · 2024 · vs RB peers

  • Efficiency0
  • Volume66
  • Explosiveness26
  • Consistency0
  • Receiving20
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.
  • Peak game: 0.36 EPA/play in Wk 11 vs Syracuse (SP+ 6).

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

+0.4100.41Wk 1 vs Florida State: +0.20 EPA/play1Wk 2 vs Duquesne: +0.11 EPA/play2Wk 3 vs Missouri: -0.41 EPA/play3Wk 5 vs Western Kentucky: +0.18 EPA/play5Wk 6 vs Virginia: -0.03 EPA/play6Wk 8 vs Virginia Tech: +0.35 EPA/play8Wk 9 vs Louisville: -0.02 EPA/play9Wk 11 vs Syracuse: +0.36 EPA/play11Wk 12 vs SMU: +0.17 EPA/play12Wk 13 vs North Carolina: -0.13 EPA/play13Wk 14 vs Pittsburgh: -0.22 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@Florida StateW28-13-3.219854.511410.20
2vsDuquesneW56-06274.500.11
3@MissouriL21-2714.0691.50160-0.41
5vsWestern KentuckyW21-20-2.218814.510.18
6@VirginiaL14-24-5.1420.50-0.03
8@Virginia TechL21-4210.09353.910.35
9vsLouisvilleL27-3113.610343.41100-0.02
11vsSyracuseW37-315.5281987.120.36
12@SMUL28-3817.521904.321700.17
13vsNorth CarolinaW41-215.023934.01-0.13
14vsPittsburghW34-234.921713.41150-0.22
20vsNebraskaL15-205.510191.904220

Usage & Situational · Pro

Snap-share proxy
Overall
23.1%
Passing plays
2.6%
Rushing plays
38.2%
Standard downs
29.5%
Passing downs
8.2%
EPA by down type
Standard downs
0.01
Passing downs
-0.01
Pass / Rush EPA
-0.03 / 0.01

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.
Kye Robichaux Stats, EPA & Player Profile — Boston College · Gridpex