M. Bouzkova vs L. Stefanini — prediction
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: #27 vs #142 (better ranked)
›Recent form: 7/10 in recent matches
›Head-to-head: 2-0 in favor
The model makes M. Bouzkova the favorite with a 77% win probability, against L. Stefanini's 23% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.30; the offered odds are around @1.25 (a 80% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #27 vs #142 (better ranked); 7/10 in recent matches; 2-0 in favor.
Read it with perspective. Our probability is calibrated — when the model says 77%, that outcome happens roughly that percentage of the time, with ~64% out-of-sample accuracy — but being the favorite is not being the winner: roughly 23 out of every 100 times Stefanini 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.