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.
Some wind: makes baseline control harder.
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: #86 vs #163 (better ranked)
›Recent form: 6/10 in recent matches
›On a streak: 5 wins in a row
›Hard specialist: performs +12% above baseline (67% career on the surface)
›Model 63% vs market 57% → the model sees it as MORE likely than the odds
!Returning from a long layoff (25d) — possible rustiness
The model makes A. Gea the favorite with a 63% win probability, against N. Basavareddy's 37% — a solid favorite, though Basavareddy keeps real chances. Converted to odds, that probability is worth about @1.59; the offered odds are around @1.74 (a 57% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #86 vs #163 (better ranked); 6/10 in recent matches; 5 wins in a row; performs +12% above baseline (67% career on the surface).
Read it with perspective. Our probability is calibrated — when the model says 63%, 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 37 out of every 100 times Basavareddy 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: Returning from a long layoff (25d) — possible rustiness. This is informational analysis, not a betting recommendation. 18+ · play responsibly.