S. Mochizuki vs P. Kotov — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Humid air: the ball loses some speed.
Light wind: no noticeable effect.
Moderate altitude: the ball flies a little more than at sea level.
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: #125 vs #188 (better ranked)
›Model 63% vs market 45% → the model sees it as MORE likely than the odds
›Recent form: 4/10 in recent matches
›On a streak: 2 wins in a row
The model makes S. Mochizuki the favorite with a 63% win probability, against P. Kotov's 37% — a solid favorite, though Kotov keeps real chances. Converted to odds, that probability is worth about @1.59; the offered odds are around @2.23 (a 45% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #125 vs #188 (better ranked); model 63% vs market 45% → the model sees it as more likely than the odds; 4/10 in recent matches; 2 wins in a row.
Read it with perspective. Our probability is calibrated — when the model says 63%, 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 37 out of every 100 times Kotov 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.