C. Gauff vs M. Bouzkova — 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: #4 vs #27 (better ranked)
›Head-to-head: 1-1 even
›Solid on Hard: 71% career on the surface
›Model 71% vs market 79% → the model sees it as less likely than the odds
›Recent form: 7/10 in recent matches
›On a streak: 2 wins in a row
›Match-sharp: 6 matches in the last 2 weeks
The model makes C. Gauff the favorite with a 71% win probability, against M. Bouzkova's 29% — a solid favorite, though Bouzkova keeps real chances. Converted to odds, that probability is worth about @1.42; the offered odds are around @1.27 (a 79% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #4 vs #27 (better ranked); 1-1 even; 71% career on the surface; model 71% vs market 79% → the model sees it as less likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 71%, 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 29 out of every 100 times Bouzkova 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.