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: #38 vs #85 (better ranked)
›Recent form: 4/10 in recent matches
›More rested: 12d vs opponent's 7d
!Coming off 4 losses in a row
The model makes R. Collignon the favorite with a 57% win probability, against R. Hijikata's 43% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.76; the offered odds are around @1.79 (a 56% implied), virtually the same as what the market prices in.
Several factors explain the number: #38 vs #85 (better ranked); 4/10 in recent matches; 12d vs opponent's 7d.
Read it with perspective. Our probability is calibrated — when the model says 57%, 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 43 out of every 100 times Hijikata 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.