M. Arnaldi vs D. Dzumhur — prediction
Slow court, high bounce: longer points, rewards whoever holds up from the baseline.
Strong heat: warm air speeds the ball up and physical wear tells in long matches.
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: #35 vs #105 (better ranked)
›Head-to-head: 1-0 in favor
›Recent form: 7/10 in recent matches
Arnaldi's Elo of 1909 versus Dzumhur's 1798, paired with a #35 to #105 ranking gap, sets the foundation for the model's baseline probabilities of 45% and 38%. This gap, reinforced by Arnaldi's +71 ranking trend against Dzumhur's -18, is the single largest driver of the 68% favorite probability.
Arnaldi's 62% serve-points-won rate edges out Dzumhur's 59%, giving him a marginal advantage when serving. However, Dzumhur's 45% return rate is notably sharper than Arnaldi's 36%, meaning Dzumhur is more likely to create break chances than the ranking gap alone would suggest — this keeps individual games closer than the overall probability implies.
Arnaldi's 7-3 run over his last 10 matches, capped by wins against the higher-rated Tiafoe (2031) and Collignon (2015), points to a player in strong form. Dzumhur's 5-5 stretch, with only a win over Svajda (1908) as a highlight, is comparatively modest.
Physically, Dzumhur has logged four matches in the last 14 days against Arnaldi's one, and Umag's heat (30°C, 65% humidity) adds real strain to that heavier workload, a factor that could show up in the closing stages if the match runs long.
The pair has met once, with Arnaldi winning in 2025. It's a limited sample, but it's a real data point that aligns with — and mildly reinforces — the model's overall lean toward the favorite.
The model's 68% probability for Arnaldi sits just one point above the market-implied 67% at odds of 1.50, yielding an expected value of 2.5%. That is a real but narrow edge — this looks like a fairly priced favorite rather than a clear market inefficiency, and bettors should treat the projection as confirming Arnaldi's favorite status without expecting outsized value.
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.