L. Darderi vs J. Shang — 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.
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 #270 (better ranked)
›Recent form: 6/10 in recent matches
›Match-sharp: 3 matches in the last 2 weeks
›Model 73% vs market 50% → the model sees it as MORE likely than the odds
The model makes L. Darderi the favorite with a 73% win probability, against J. Shang's 27% — a solid favorite, though Shang keeps real chances. Converted to odds, that probability is worth about @1.36; the offered odds are around @2.02 (a 50% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #21 vs #270 (better ranked); 6/10 in recent matches; 3 matches in the last 2 weeks; model 73% vs market 50% → the model sees it as more likely than the odds.
Read it with perspective. Our probability is calibrated — when the model says 73%, 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 27 out of every 100 times Shang 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.