A. Potapova vs G. Ruse — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Dry air: the ball travels normally.
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: #27 vs #69 (better ranked)
›Recent form: 6/10 in recent matches
›Model 84% vs market 54% → the model sees it as MORE likely than the odds
The model makes A. Potapova the favorite with a 84% win probability, against G. Ruse's 16% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.18; the offered odds are around @1.84 (a 54% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #27 vs #69 (better ranked); 6/10 in recent matches; model 84% vs market 54% → the model sees it as more likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 84%, 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 16 out of every 100 times Ruse 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.