G. Dimitrov vs L. Giustino — 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.
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: #138 vs #195 (better ranked)
›Solid on Hard: 64% career on the surface
›Model 83% vs market 93% → the model sees it as less likely than the odds
›Recent form: 6/10 in recent matches
›More rested: 10d vs opponent's 4d
The model makes G. Dimitrov the favorite with a 83% win probability, against L. Giustino's 17% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.20; the offered odds are around @1.08 (a 93% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #138 vs #195 (better ranked); 64% career on the surface; model 83% vs market 93% → the model sees it as less likely than the odds; 6/10 in recent matches.
Read it with perspective. Our probability is calibrated — when the model says 83%, 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 17 out of every 100 times Giustino 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.