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.
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: #21 vs #94 (better ranked)
›Solid on Hard: 61% career on the surface
›Model 72% vs market 89% → the model sees it as less likely than the odds
›Recent form: 6/10 in recent matches
›Match-sharp: 4 matches in the last 2 weeks
›More rested: 9d vs opponent's 2d
The model makes T. Paul the favorite with a 72% win probability, against C. Wong's 28% — a solid favorite, though Wong keeps real chances. Converted to odds, that probability is worth about @1.40; the offered odds are around @1.12 (a 89% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #21 vs #94 (better ranked); 61% career on the surface; model 72% vs market 89% → the model sees it as less likely than the odds; 6/10 in recent matches.
Read it with perspective. Our probability is calibrated — when the model says 72%, 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 28 out of every 100 times Wong 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. This is informational analysis, not a betting recommendation. 18+ · play responsibly.