Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
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: #36 vs #93 (better ranked)
›Recent form: 4/10 in recent matches
›Head-to-head: 0-1 against
›Model 62% vs market 42% → the model sees it as MORE likely than the odds
!Coming off 3 losses in a row
!Unfavorable head-to-head record (0-1)
The model makes I. Buse the favorite with a 62% win probability, against A. Walton's 38% — a solid favorite, though Walton keeps real chances. Converted to odds, that probability is worth about @1.62; the offered odds are around @2.40 (a 42% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #36 vs #93 (better ranked); 4/10 in recent matches; 0-1 against; model 62% vs market 42% → the model sees it as more likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 62%, 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 38 out of every 100 times Walton 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; Unfavorable head-to-head record (0-1). This is informational analysis, not a betting recommendation. 18+ · play responsibly.