E. Rybakina vs C. Gauff — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Mild: neutral conditions.
Very humid air: the ball gets heavy and points stretch out.
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: #2 vs #4 (better ranked)
›Recent form: 5/10 in recent matches
›Head-to-head: 0-1 against
›Solid on Hard: 73% career on the surface
›More rested: 39d vs opponent's 34d
!Returning from a long layoff (39d) — possible rustiness
!Unfavorable head-to-head record (0-1)
The model makes E. Rybakina the favorite with a 51% win probability, against C. Gauff's 49% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.97; the offered odds are around @2.14 (a 47% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #2 vs #4 (better ranked); 5/10 in recent matches; 0-1 against; 73% career on the surface.
Read it with perspective. Our probability is calibrated — when the model says 51%, 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 49 out of every 100 times Gauff 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 (39d) — possible rustiness; Unfavorable head-to-head record (0-1). This is informational analysis, not a betting recommendation. 18+ · play responsibly.