D. Snigur vs K. Kawa — 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: #46 vs #133 (better ranked)
›Model 66% vs market 87% → the model sees it as less likely than the odds
The model makes D. Snigur the favorite with a 66% win probability, against K. Kawa's 34% — a solid favorite, though Kawa keeps real chances. Converted to odds, that probability is worth about @1.52; the offered odds are around @1.15 (a 87% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #46 vs #133 (better ranked); model 66% vs market 87% → the model sees it as less likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 66%, 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 34 out of every 100 times Kawa 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.