M. Sawangkaew vs R. Sramkova — 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: #164 vs #125
›Head-to-head: 0-1 against
›Recent form: 7/10 in recent matches
›Match-sharp: 7 matches in the last 2 weeks
!Unfavorable head-to-head record (0-1)
The model makes M. Sawangkaew the favorite with a 59% win probability, against R. Sramkova's 41% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.69; the offered odds are around @1.68 (a 60% implied), virtually the same as what the market prices in.
Several factors explain the number: #164 vs #125; 0-1 against; 7/10 in recent matches; 7 matches in the last 2 weeks.
Read it with perspective. Our probability is calibrated — when the model says 59%, 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 41 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.