G. Dimitrov vs T. Skatov — 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: #137 vs #205 (better ranked)
›Recent form: 6/10 in recent matches
›Head-to-head: 1-0 in favor
›Solid on Hard: 64% career on the surface
›Model 76% vs market 86% → the model sees it as less likely than the odds
The model makes G. Dimitrov the favorite with a 76% win probability, against T. Skatov's 24% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.32; the offered odds are around @1.16 (a 86% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #137 vs #205 (better ranked); 6/10 in recent matches; 1-0 in favor; 64% career on the surface.
Read it with perspective. Our probability is calibrated — when the model says 76%, 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 24 out of every 100 times Skatov 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.