L. Darderi vs D. Sweeny — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Dry air: the ball travels normally.
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: #22 vs #123 (better ranked)
›Model 66% vs market 77% → the model sees it as less likely than the odds
›Recent form: 6/10 in recent matches
›On a streak: 2 wins in a row
›Match-sharp: 4 matches in the last 2 weeks
The model makes L. Darderi the favorite with a 66% win probability, against D. Sweeny's 34% — a solid favorite, though Sweeny keeps real chances. Converted to odds, that probability is worth about @1.52; the offered odds are around @1.30 (a 77% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #22 vs #123 (better ranked); model 66% vs market 77% → the model sees it as less likely than the odds; 6/10 in recent matches; 2 wins in a row.
Read it with perspective. Our probability is calibrated — when the model says 66%, 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 34 out of every 100 times Sweeny 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.