S. Bejlek vs C. Bucsa — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
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: #29 vs #40 (better ranked)
›Hard specialist: performs +7% above baseline (58% career on the surface)
›Model 72% vs market 78% → the model sees it as less likely than the odds
›Recent form: 8/10 in recent matches
›Match-sharp: 5 matches in the last 2 weeks
The model makes S. Bejlek the favorite with a 72% win probability, against C. Bucsa's 28% — a solid favorite, though Bucsa keeps real chances. Converted to odds, that probability is worth about @1.38; the offered odds are around @1.28 (a 78% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #29 vs #40 (better ranked); performs +7% above baseline (58% career on the surface); model 72% vs market 78% → the model sees it as less likely than the odds; 8/10 in recent matches.
Read it with perspective. Our probability is calibrated — when the model says 72%, 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 28 out of every 100 times Bucsa 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.