M. Kecmanovic vs S. Baez — prediction
Slow court, high bounce: longer points, rewards whoever holds up from the baseline.
Mild: neutral conditions.
Dry air: the ball travels normally.
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: #59 vs #56
›Head-to-head: 3-0 in favor
›Model 52% vs market 57% → the model sees it as less likely than the odds
›Recent form: 5/10 in recent matches
On paper, Baez is the stronger player right now: he sits above Kecmanovic in both Elo (1884 vs 1864) and ranking (#56 vs #59), and the baseline model gives him 47% against Kecmanovic's 42% before any adjustments. That is a real, numbers-based edge in current level.
Yet the head-to-head record cuts sharply the other way — Kecmanovic has won all three prior meetings. The model folds this history in, which is a key reason his final probability (52%) ends up above his baseline number despite Baez's better underlying stats.
Recent form also leans toward Baez, who is 7-3 in his last 10 matches compared to Kecmanovic's 4-6. Both players arrive on a one-match losing streak, so neither has a clean-momentum advantage, but Baez's broader trend line has been more positive.
That said, Baez played a quarterfinal in Bastad just 4 days ago and has logged three matches in the last two weeks versus Kecmanovic's two, with one extra day of rest for Kecmanovic. Over best-of-three, this fatigue gap is modest but not irrelevant, and it slightly offsets Baez's form edge.
Both players hold serve at an identical 65% rate, so neither has a clear advantage in service power or consistency. The difference emerges on return: Baez wins 37% of return points against Kecmanovic's 31%, a six-point gap that suggests Baez is more likely to generate break chances and disrupt Kecmanovic's rhythm.
With surface data unavailable and weather described as mild and dry (19°C, 51% humidity, 13 km/h wind), there is no clear environmental factor amplifying either player's game beyond this return-game disparity.
The model gives Kecmanovic a 52% win probability, but the market prices him higher at an implied 56% (odds of 1.79). That gap produces a projected expected value of -6.8%, meaning the price is not favorable relative to the model's own estimate.
Being the favorite here does not equal value: the model sees this as a closer match than the market does, largely because it weighs Baez's superior Elo, ranking, and return numbers more heavily than the market appears to. On these odds, there is no backed edge for Kecmanovic, and bettors should treat this as a fair coin-flip at best, not a value opportunity.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). The model ≈ the market on average; the odds already capture almost all the edge. 18+ · gamble responsibly.