C. Gauff vs S. Bejlek — 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.
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: #4 vs #35 (better ranked)
›Solid on Hard: 71% career on the surface
›Recent form: 7/10 in recent matches
›On a streak: 4 wins in a row
›Match-sharp: 5 matches in the last 2 weeks
The model makes C. Gauff the favorite with a 83% win probability, against S. Bejlek's 17% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.20; the offered odds are around @1.24 (a 81% implied), virtually the same as what the market prices in.
Several factors explain the number: #4 vs #35 (better ranked); 71% career on the surface; 7/10 in recent matches; 4 wins in a row.
Read it with perspective. Our probability is calibrated — when the model says 83%, 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 17 out of every 100 times Bejlek 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.