C. Ruud vs C. O'Connell — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Strong heat: warm air speeds the ball up and physical wear tells in long matches.
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: #17 vs #129 (better ranked)
›Recent form: 5/10 in recent matches
›Model 87% vs market 76% → the model sees it as MORE likely than the odds
The model makes C. Ruud the favorite with a 87% win probability, against C. O'Connell's 13% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.16; the offered odds are around @1.32 (a 76% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #17 vs #129 (better ranked); 5/10 in recent matches; model 87% vs market 76% → the model sees it as more likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 87%, that outcome happens roughly that percentage of the time, with ~65% out-of-sample accuracy — but being the favorite is not being the winner: roughly 13 out of every 100 times O'Connell 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.