Consistent bounce, medium-fast: neutral conditions, no style favored.
Strong heat: warm air speeds the ball up and physical wear tells in long matches.
Dry air: the ball travels normally.
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: #94 vs #141 (better ranked)
›Recent form: 4/10 in recent matches
›Model 67% vs market 92% → the model sees it as less likely than the odds
!Coming off 3 losses in a row
The model makes S. Shimabukuro the favorite with a 67% win probability, against H. Dellien's 33% — a solid favorite, though Dellien keeps real chances. Converted to odds, that probability is worth about @1.50; the offered odds are around @1.09 (a 92% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #94 vs #141 (better ranked); 4/10 in recent matches; model 67% vs market 92% → the model sees it as less likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 67%, 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 33 out of every 100 times Dellien 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: Coming off 3 losses in a row. This is informational analysis, not a betting recommendation. 18+ · play responsibly.