Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Humid air: the ball loses some speed.
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: #227 vs #83
›Model 53% vs market 68% → the model sees it as less likely than the odds
›Recent form: 4/10 in recent matches
The model makes J. Shang the favorite with a 53% win probability, against M. Trungelliti's 47% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.88; the offered odds are around @1.48 (a 68% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #227 vs #83; model 53% vs market 68% → the model sees it as less likely than the odds; 4/10 in recent matches.
Read it with perspective. Our probability is calibrated — when the model says 53%, 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 47 out of every 100 times Trungelliti 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.