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: #5 vs #48 (better ranked)
›Solid on Hard: 87% career on the surface
›Recent form: 6/10 in recent matches
›More rested: 15d vs opponent's 5d
!Coming off 3 losses in a row
The model makes N. Djokovic the favorite with a 87% win probability, against M. Navone's 13% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.15; the offered odds are around @1.20 (a 83% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #5 vs #48 (better ranked); 87% career on the surface; 6/10 in recent matches; 15d vs opponent's 5d.
Read it with perspective. Our probability is calibrated — when the model says 87%, 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 13 out of every 100 times Navone 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.