C. Gauff vs A. Korneeva — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Very humid air: the ball gets heavy and points stretch out.
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: #7 vs #90 (better ranked)
›Recent form: 7/10 in recent matches
›Solid on Hard: 71% career on the surface
›More rested: 30d vs opponent's 21d
!Returning from a long layoff (30d) — possible rustiness
The model makes C. Gauff the favorite with a 79% win probability, against A. Korneeva's 21% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.26; the offered odds are around @1.27 (a 79% implied), virtually the same as what the market prices in.
Several factors explain the number: #7 vs #90 (better ranked); 7/10 in recent matches; 71% career on the surface; 30d vs opponent's 21d.
Read it with perspective. Our probability is calibrated — when the model says 79%, 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 21 out of every 100 times Korneeva 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. Watch out for: Returning from a long layoff (30d) — possible rustiness. This is informational analysis, not a betting recommendation. 18+ · play responsibly.