J. Paolini vs D. Snigur — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Mild: neutral conditions.
Very dry air: the ball travels faster.
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: #20 vs #46 (better ranked)
›Model 57% vs market 65% → the model sees it as less likely than the odds
›Recent form: 4/10 in recent matches
›Match-sharp: 4 matches in the last 2 weeks
›More rested: 6d vs opponent's 2d
!Coming off 4 losses in a row
The model makes J. Paolini the favorite with a 57% win probability, against D. Snigur's 43% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.74; the offered odds are around @1.55 (a 65% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #20 vs #46 (better ranked); model 57% vs market 65% → the model sees it as less likely than the odds; 4/10 in recent matches; 4 matches in the last 2 weeks.
Read it with perspective. Our probability is calibrated — when the model says 57%, 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 43 out of every 100 times Snigur 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 4 losses in a row. This is informational analysis, not a betting recommendation. 18+ · play responsibly.