K. Kawa vs V. Savinykh — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Mild: neutral conditions.
Humid air: the ball loses some speed.
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: #133 vs #652 (better ranked)
›Model 55% vs market 74% → the model sees it as less likely than the odds
›Recent form: 3/10 in recent matches
The model makes K. Kawa the favorite with a 55% win probability, against V. Savinykh's 45% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.81; the offered odds are around @1.36 (a 74% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #133 vs #652 (better ranked); model 55% vs market 74% → the model sees it as less likely than the odds; 3/10 in recent matches.
Read it with perspective. Our probability is calibrated — when the model says 55%, 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 45 out of every 100 times Savinykh 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.