HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Alves●●●
Meligeni leads by 96 Elo points (1766 vs 1670) and sits at ATP 194 (opponent unranked), producing the 63% model figure.
Serve/return▸ Silva●●
Andrade wins slightly more on both serve (68% vs 66%) and return (40% vs 39%), a small but consistent edge on both ends.
Head-to-head= Even●
Series is tied 1-1 in 2026, with each player taking the most recent meeting — no historical lean either way.
Form= Even●
Both arrive on 3-match win streaks with nearly identical last-10 marks (7-3 each), showing no momentum gap.
Rest= Even●
Both played 3 matches in the last 14 days and have just 1 day of rest, so fatigue conditions are equal.
RATING GAP
The core edge for Meligeni Alves is rating-based: a 96-point Elo advantage (1766 vs 1670) and a concrete ATP ranking (194) against an unranked opponent. That gap is what generates the model's 63% probability — it reflects a broader body of results, not any single recent match.
Both players reached the quarterfinals at this same M25 Sao Paulo event just one day ago, so the deep-run fatigue flag applies to each side equally. Since it cuts both ways, it does not shift the balance of the match on its own.
SERVE VS RETURN NUMBERS
Interestingly, the on-court percentages point the other way. Andrade wins 68% of his service points compared to Meligeni's 66%, and also edges him on return, 40% to 39%. These are modest gaps, but they are consistent across both serve and return, suggesting Andrade's ball-striking numbers are marginally sharper right now.
This creates some tension with the rating-based favorite tag: Meligeni's edge is more about track record and ranking than about who is currently playing the better tennis by the raw percentages available here.
EVEN HISTORY, EVEN FORM
The head-to-head is split 1-1, with the two most recent meetings each going to a different player — no pattern to lean on. Recent form is essentially a mirror image too: both are riding 3-match win streaks and carry 7-3 records over their last 10 matches.
Rest is also a non-factor: both had 1 day off and 3 matches in the past two weeks. With H2H, form, and rest all balanced, the match's tilt rests almost entirely on the Elo/ranking gap and the small serve/return differences noted above.
VALUE READ
The model gives Meligeni Alves 63%, but the market prices him at an implied 68% (odds of 1.48), producing a -6.2% expected value. That gap means the market is more confident in the favorite than the Elo-based estimate — backing him here is not supported by value on these numbers.
It's also worth remembering this is a Challenger/ITF Elo estimate, a softer market than the ATP tour, so any edge is unproven rather than confirmed. Being the favorite is not the same as being the value play — on this data, it isn't.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). Soft-market estimate: the value is unproven live. 18+ · gamble responsibly.