Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Very humid air: the ball gets heavy and points stretch out.
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: #88 vs #221 (better ranked)
›Recent form: 3/10 in recent matches
›Model 60% vs market 53% → the model sees it as MORE likely than the odds
!Returning from a long layoff (33d) — possible rustiness
The model makes H. Gaston the favorite with a 60% win probability, against C. Smith's 40% — a solid favorite, though Smith keeps real chances. Converted to odds, that probability is worth about @1.66; the offered odds are around @1.88 (a 53% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #88 vs #221 (better ranked); 3/10 in recent matches; model 60% vs market 53% → the model sees it as more likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 60%, 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 40 out of every 100 times Smith 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 (33d) — possible rustiness. This is informational analysis, not a betting recommendation. 18+ · play responsibly.