ATP. Umag. Clay
Dias Akosta F. π¦π· - MakDonald N. π©πͺ
Math-model prediction
AI match prediction Dias Akosta F. π¦π· - MakDonald N. π©πͺ 10 ΠΈΡΠ»Ρ 2026
Tennis math modelThe summary is built from our prematch context: line, form, lineups and Glicko.
- Win odds (market consensus): 1 1.19 / 2 4.40
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin β for reference, not a betting recommendation.Odds source: market consensus. This is the fair probability after removing the bookmaker margin from the odds β reference information, not a prediction or a betting recommendation.
Head-to-head and form stats
Head-to-head and form
Team form
no data
Head-to-head and recent form per sports statistics β for reference.
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Dias Akosta F. π¦π· - MakDonald N. π©πͺ
Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.
Match markets
Handicap
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| Π1 -4.5 | 1.73 57.8% | 1.66 60.2% | 1.67 59.9% |
| Π1 -5.5 | — | — | 2.11 47.4% |
| Π2 +4.5 | 2.00 50.0% | 2.10 47.6% | 2.13 47.0% |
| Π2 +5.5 | — | — | 1.68 59.5% |
Total
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| Π’Π 20.5 | 1.86 53.8% | 1.81 55.3% | 1.90 52.6% |
| Π’Π 20.5 | 1.86 53.8% | 1.90 52.6% | 1.84 54.4% |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| Π1 | 1.19 84.0% | 1.17 85.5% | 1.19 84.0% |
| Π2 | 4.30 23.3% | 4.40 22.7% | 4.10 24.4% |
Dias Akosta F. π¦π·
Gaubas V. π±πΉ
Krumich M. π¨πΏ
Full head-to-head historyDias Akosta F. π¦π· - MakDonald N. π©πͺ