C. Gauff vs M. Andreeva — 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 #5 (better ranked)
›Recent form: 9/10 in recent matches
›On a streak: 6 wins in a row
›Head-to-head: 5-0 in favor
›Solid on Hard: 71% career on the surface
The model makes C. Gauff the favorite with a 67% win probability, against M. Andreeva's 33% — a solid favorite, though Andreeva keeps real chances. Converted to odds, that probability is worth about @1.49; the offered odds are around @1.52 (a 66% implied), virtually the same as what the market prices in.
Several factors explain the number: #4 vs #5 (better ranked); 9/10 in recent matches; 6 wins in a row; 5-0 in favor.
Read it with perspective. Our probability is calibrated — when the model says 67%, 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 33 out of every 100 times Andreeva 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.