Consistent bounce, medium-fast: neutral conditions, no style favored.
Mild: neutral conditions.
Very humid air: the ball gets heavy and points stretch out.
Some wind: makes baseline control harder.
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: #101 vs #622 (better ranked)
›Recent form: 2/10 in recent matches
›Model 78% vs market 60% → the model sees it as MORE likely than the odds
The model makes Aleksandar Vukic the favorite with a 78% win probability, against Darwin Blanch's 22% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.28; the offered odds are around @1.67 (a 60% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #101 vs #622 (better ranked); 2/10 in recent matches; model 78% vs market 60% → the model sees it as more likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 78%, that outcome happens roughly that percentage of the time, with ~65% out-of-sample accuracy — but being the favorite is not being the winner: roughly 22 out of every 100 times Blanch 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. This is informational analysis, not a betting recommendation. 18+ · play responsibly.