Consistent bounce, medium-fast: neutral conditions, no style favored.
Strong heat: warm air speeds the ball up and physical wear tells in long matches.
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: #103 vs #149 (better ranked)
›Recent form: 5/10 in recent matches
›Head-to-head: 0-1 against
›More rested: 60d vs opponent's 29d
›Model 62% vs market 68% → the model sees it as less likely than the odds
!Returning from a long layoff (60d) — possible rustiness
!Unfavorable head-to-head record (0-1)
The model makes B. Bonzi the favorite with a 62% win probability, against D. Lajovic's 38% — a solid favorite, though Lajovic keeps real chances. Converted to odds, that probability is worth about @1.60; the offered odds are around @1.46 (a 68% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #103 vs #149 (better ranked); 5/10 in recent matches; 0-1 against; 60d vs opponent's 29d.
Read it with perspective. Our probability is calibrated — when the model says 62%, 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 38 out of every 100 times Lajovic 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: Returning from a long layoff (60d) — possible rustiness; Unfavorable head-to-head record (0-1). This is informational analysis, not a betting recommendation. 18+ · play responsibly.