A. Sabalenka vs K. Rakhimova — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Dry air: the ball travels normally.
Some wind: makes baseline control harder.
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 #92 (better ranked)
›Head-to-head: 3-0 in favor
›Solid on Hard: 76% career on the surface
›Recent form: 7/10 in recent matches
›On a streak: 2 wins in a row
The model makes A. Sabalenka the favorite with a 94% win probability, against K. Rakhimova's 6% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.07; the offered odds are around @1.05 (a 95% implied), virtually the same as what the market prices in.
Several factors explain the number: #1 vs #92 (better ranked); 3-0 in favor; 76% career on the surface; 7/10 in recent matches.
Read it with perspective. Our probability is calibrated — when the model says 94%, 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 6 out of every 100 times Rakhimova 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.