Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Very dry air: the ball travels faster.
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: #37 vs #368 (better ranked)
›Recent form: 7/10 in recent matches
›Model 72% vs market 86% → the model sees it as less likely than the odds
The model makes A. Fery the favorite with a 72% win probability, against C. Hewitt's 28% — a solid favorite, though Hewitt keeps real chances. Converted to odds, that probability is worth about @1.39; the offered odds are around @1.16 (a 86% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #37 vs #368 (better ranked); 7/10 in recent matches; model 72% vs market 86% → the model sees it as less likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 72%, 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 28 out of every 100 times Hewitt 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.