Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Very humid air: the ball gets heavy and points stretch out.
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: #6 vs #119 (better ranked)
›Head-to-head: 1-0 in favor
›Recent form: 5/10 in recent matches
›Match-sharp: 4 matches in the last 2 weeks
The model makes F. Cobolli the favorite with a 82% win probability, against F. Comesana's 18% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.22; the offered odds are around @1.23 (a 81% implied), virtually the same as what the market prices in.
Several factors explain the number: #6 vs #119 (better ranked); 1-0 in favor; 5/10 in recent matches; 4 matches in the last 2 weeks.
Read it with perspective. Our probability is calibrated — when the model says 82%, 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 18 out of every 100 times Comesana 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.