M. Andreeva vs L. Fernandez — 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: #5 vs #74 (better ranked)
›Solid on Hard: 67% career on the surface
›Model 84% vs market 79% → the model sees it as MORE likely than the odds
›Recent form: 7/10 in recent matches
The model makes M. Andreeva the favorite with a 84% win probability, against L. Fernandez'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 @1.27 (a 79% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #5 vs #74 (better ranked); 67% career on the surface; model 84% vs market 79% → the model sees it as more likely than the odds; 7/10 in recent matches.
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 Fernandez 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.