Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Dry air: the ball travels normally.
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: #85 vs #239 (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)
!Returning from a long layoff (22d) — possible rustiness
The model makes A. Gea the favorite with a 82% win probability, against S. Nagal's 18% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.22; the offered odds are around @1.20 (a 83% implied), virtually the same as what the market prices in.
Several factors explain the number: #85 vs #239 (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 82%, 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 18 out of every 100 times Nagal 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 (22d) — possible rustiness. This is informational analysis, not a betting recommendation. 18+ · play responsibly.