L. Samsonova vs E. Jacquemot — prediction
Slow court, high bounce: longer points, rewards whoever holds up from the baseline.
Warm: the ball flies a little more and fitness counts.
Dry air: the ball travels normally.
Light wind: no noticeable effect.
High altitude: thin air, faster ball and longer bounce.
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: #50 vs #156 (better ranked)
›Model 72% vs market 79% → the model sees it as less likely than the odds
›Recent form: 6/10 in recent matches
›More rested: 14d vs opponent's 3d
The model makes L. Samsonova the favorite with a 72% win probability, against E. Jacquemot's 28% — a solid favorite, though Jacquemot keeps real chances. Converted to odds, that probability is worth about @1.38; the offered odds are around @1.26 (a 79% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #50 vs #156 (better ranked); model 72% vs market 79% → the model sees it as less likely than the odds; 6/10 in recent matches; 14d vs opponent's 3d.
Read it with perspective. Our probability is calibrated — when the model says 72%, 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 28 out of every 100 times Jacquemot 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.