A. Korneeva vs M. Sawangkaew — 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.
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: #81 vs #88 (better ranked)
›Hard specialist: performs +6% above baseline (56% career on the surface)
›Model 56% vs market 68% → the model sees it as less likely than the odds
›Recent form: 7/10 in recent matches
The model makes A. Korneeva the favorite with a 56% win probability, against M. Sawangkaew's 44% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.80; the offered odds are around @1.47 (a 68% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #81 vs #88 (better ranked); performs +6% above baseline (56% career on the surface); model 56% vs market 68% → the model sees it as less likely than the odds; 7/10 in recent matches.
Read it with perspective. Our probability is calibrated — when the model says 56%, 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 44 out of every 100 times Sawangkaew 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.