V. Golubic vs E. Kalieva — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Mild: neutral conditions.
Very dry air: the ball travels faster.
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: #67 vs #117 (better ranked)
›Model 59% vs market 67% → the model sees it as less likely than the odds
The model makes V. Golubic the favorite with a 59% win probability, against E. Kalieva's 41% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.71; the offered odds are around @1.50 (a 67% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #67 vs #117 (better ranked); model 59% vs market 67% → the model sees it as less likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 59%, 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 41 out of every 100 times Kalieva 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.