E. Rybakina vs A. Charaeva — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Mild: neutral conditions.
Very dry air: the ball travels faster.
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: #1 vs #118 (better ranked)
›Solid on Hard: 73% career on the surface
›Recent form: 10/10 in recent matches
›On a streak: 10 wins in a row
›More rested: 21d vs opponent's 2d
!Returning from a long layoff (21d) — possible rustiness
The model makes E. Rybakina the favorite with a 95% win probability, against A. Charaeva's 5% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.05; the offered odds are around @1.04 (a 96% implied), virtually the same as what the market prices in.
Several factors explain the number: #1 vs #118 (better ranked); 73% career on the surface; 10/10 in recent matches; 10 wins in a row.
Read it with perspective. Our probability is calibrated — when the model says 95%, 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 5 out of every 100 times Charaeva 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 (21d) — possible rustiness. This is informational analysis, not a betting recommendation. 18+ · play responsibly.