Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Dry air: the ball travels normally.
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: #95 vs #157 (better ranked)
›Model 52% vs market 43% → the model sees it as MORE likely than the odds
›Recent form: 6/10 in recent matches
›More rested: 9d vs opponent's 1d
The model makes A. Vukic the favorite with a 52% win probability, against R. Sakamoto's 48% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.93; the offered odds are around @2.30 (a 43% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #95 vs #157 (better ranked); model 52% vs market 43% → the model sees it as more likely than the odds; 6/10 in recent matches; 9d vs opponent's 1d.
Read it with perspective. Our probability is calibrated — when the model says 52%, 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 48 out of every 100 times Sakamoto 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.