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: #3 vs #72 (better ranked)
›Solid on Hard: 78% career on the surface
›Recent form: 8/10 in recent matches
›On a streak: 2 wins in a row
The model makes C. Alcaraz the favorite with a 92% win probability, against J. Faria's 8% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.09; the offered odds are around @1.08 (a 93% implied), virtually the same as what the market prices in.
Several factors explain the number: #3 vs #72 (better ranked); 78% career on the surface; 8/10 in recent matches; 2 wins in a row.
Read it with perspective. Our probability is calibrated — when the model says 92%, 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 8 out of every 100 times Faria 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.