Nakamura R./Tomida Y. - Kavakhasi Yu./Matsuda R.
Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
2 Kavakhasi Yu./Matsuda R. — 63%
Pure model vs market (2 · Kavakhasi Yu./Matsuda R.): model 48% · market 65% Δ −17 pp model estimates below the market
Model estimate: win Nakamura R./Tomida Y. 36.9%, win Kavakhasi Yu./Matsuda R. 63.1%. Model favourite — Kavakhasi Yu./Matsuda R..
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Nakamura R./Tomida Y
- • — Kavakhasi Yu./Matsuda R
- • (tennis)
- • Nakamura R./Tomida Y.: forma V (1-0)
- • Kavakhasi Yu./Matsuda R.: forma V (1-0)
- • Model backs Kavakhasi Yu./Matsuda R.: probability 63% vs 70% on the line (odds 1.43)
- • no edge over the line (-7 pp) — informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Nakamura R./Tomida Y. - Kavakhasi Yu./Matsuda R. July 30, 2026
Tennis math modelThe summary is built from our prematch context: line, form, lineups and Glicko.
- Win odds (market consensus): 1 2.65 / 2 1.44
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin — for reference, not a betting recommendation.Odds source: market consensus. This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.
About the athletes
Nakamura R./Tomida Y. - Kavakhasi Yu./Matsuda R.
V baze uchteny nedavnie matchi oboikh uchastnikov.
Tennis math model. Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
Best value: no value found
Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.
Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.
Match markets
Outcome (1X2)
| Outcome | Baltbet | Betcity |
|---|---|---|
| 2.65 37.7% | 2.60 38.5% | |
| 1.42 70.4% | 1.44 69.4% |
Full head-to-head historyNakamura R./Tomida Y. - Kavakhasi Yu./Matsuda R.
Match history
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The Nakamura R./Tomida Y. - Kavakhasi Yu./Matsuda R. breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.
- Full AI consensus of 7 models
- Win probabilities & value flags
- Match history & form