D. Svrcina vs P. Sekulic — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Strong heat: warm air speeds the ball up and physical wear tells in long matches.
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: #128 vs #336 (better ranked)
›Hard specialist: performs +8% above baseline (44% career on the surface)
›Model 62% vs market 82% → the model sees it as less likely than the odds
›Recent form: 5/10 in recent matches
›More rested: 19d vs opponent's 4d
The model makes D. Svrcina the favorite with a 62% win probability, against P. Sekulic's 38% — a solid favorite, though Sekulic keeps real chances. Converted to odds, that probability is worth about @1.63; the offered odds are around @1.22 (a 82% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #128 vs #336 (better ranked); performs +8% above baseline (44% career on the surface); model 62% vs market 82% → the model sees it as less likely than the odds; 5/10 in recent matches.
Read it with perspective. Our probability is calibrated — when the model says 62%, that outcome happens roughly that percentage of the time, with ~65% out-of-sample accuracy — but being the favorite is not being the winner: roughly 38 out of every 100 times Sekulic 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.