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: #65 vs #100 (better ranked)
›Hard specialist: performs +9% above baseline (47% career on the surface)
›Recent form: 2/10 in recent matches
›Match-sharp: 3 matches in the last 2 weeks
›More rested: 7d vs opponent's 2d
!Coming off 3 losses in a row
The model makes M. Landaluce the favorite with a 54% win probability, against J. Fearnley's 46% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.86; the offered odds are around @1.91 (a 52% implied), virtually the same as what the market prices in.
Several factors explain the number: #65 vs #100 (better ranked); performs +9% above baseline (47% career on the surface); 2/10 in recent matches; 3 matches in the last 2 weeks.
Read it with perspective. Our probability is calibrated — when the model says 54%, 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 46 out of every 100 times Fearnley 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: Coming off 3 losses in a row. This is informational analysis, not a betting recommendation. 18+ · play responsibly.