E. Jacquemot vs R. Sramkova — 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.
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: #101 vs #143 (better ranked)
›Recent form: 3/10 in recent matches
›Head-to-head: 0-1 against
›More rested: 19d vs opponent's 14d
›Model 54% vs market 36% → the model sees it as MORE likely than the odds
!Unfavorable head-to-head record (0-1)
The model makes E. Jacquemot the favorite with a 54% win probability, against R. Sramkova's 46% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.86; the offered odds are around @2.80 (a 36% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #101 vs #143 (better ranked); 3/10 in recent matches; 0-1 against; 19d vs opponent's 14d.
Read it with perspective. Our probability is calibrated — when the model says 54%, 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 46 out of every 100 times Sramkova 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: Unfavorable head-to-head record (0-1). This is informational analysis, not a betting recommendation. 18+ · play responsibly.