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)0.52Beats guessing the RB average by 18%. n=4,219 RB seasons
- EPA per play (efficiency)0.10Not projectable — we do not forecast this. n=3,575 RB seasons
- Total EPA (value)0.41Beats 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 Steven Blanco'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
Performance Analysis · 2025 · vs RB peers
- Efficiency83
- Volume15
- Explosiveness44
- Consistency0
- Receiving38
Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.
- ▸Above-average efficiency for the RB position (83th percentile).
- ▸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.
- ▸Production faded as the season progressed — 0.22 EPA/play decline from first to second half.
- ▸Peak game: 1.01 EPA/play in Wk 14 vs UL Monroe (SP+ -22).
NIL Market Tier· 2025
On3 valuation ↗Top-10 nationally. Multiple mid-to-large collective deals expected.
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
Usage & Situational · Pro
- Standard downs
- 0.47
- Passing downs
- -0.23
- Pass / Rush EPA
- -0.24 / 0.35
Usage = share of team plays (CFBD has no true snap counts).