S. Sierra vs S. Stephens — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Mild: neutral conditions.
Very humid air: the ball gets heavy and points stretch out.
Light wind: no noticeable effect.
Surface feeds the model (surface specialization is one of its factors). Weather and altitude are context we publish for you — they do NOT move the probability.
›Ranking: #56 vs #363 (better ranked)
›Recent form: 5/10 in recent matches
›Model 74% vs market 49% → the model sees it as MORE likely than the odds
!Returning from a long layoff (32d) — possible rustiness
The model makes S. Sierra the favorite with a 74% win probability, against S. Stephens's 26% — a solid favorite, though Stephens keeps real chances. Converted to odds, that probability is worth about @1.35; the offered odds are around @2.05 (a 49% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #56 vs #363 (better ranked); 5/10 in recent matches; model 74% vs market 49% → the model sees it as more likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 74%, that outcome happens roughly that percentage of the time, with ~64% out-of-sample accuracy — but being the favorite is not being the winner: roughly 26 out of every 100 times Stephens wins. The model also tends to agree with the market, so the odds already capture almost all the edge: don't take it as a sure value. Watch out for: Returning from a long layoff (32d) — possible rustiness. This is informational analysis, not a betting recommendation. 18+ · play responsibly.