Consistent bounce, medium-fast: neutral conditions, no style favored.
Mild: neutral conditions.
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: #2 vs #52 (better ranked)
›Head-to-head: 2-0 in favor
›Solid on Hard: 69% career on the surface
›Recent form: 7/10 in recent matches
›More rested: 14d vs opponent's 2d
The model makes A. Zverev the favorite with a 86% win probability, against Q. Halys's 14% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.17; the offered odds are around @1.15 (a 87% implied), virtually the same as what the market prices in.
Several factors explain the number: #2 vs #52 (better ranked); 2-0 in favor; 69% career on the surface; 7/10 in recent matches.
Read it with perspective. Our probability is calibrated — when the model says 86%, 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 14 out of every 100 times Halys 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.