Our model prediction (Glicko-2)
1 Harazaki A — 50%
Model estimate: win Harazaki A 50.0%, win Roh Hoyoung 50.0%. Model favourite — Harazaki A.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
The summary is built from our prematch context: line, form, lineups and Glicko.
For reference
Odds source: Fonbet. This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.
For reference
↓ odds shortened (money on this outcome), ↑ drifted (line weakened). For reference, not a betting recommendation.
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.
| Outcome | Fonbet |
|---|---|
| 2.10 47.6% | |
| 2.00 50.0% | |
| 1.85 54.1% | |
| 1.65 60.6% | |
| 1.65 60.6% | |
| 1.73 57.8% | |
| 1.85 54.1% | |
| 2.10 47.6% |
| Outcome | Fonbet |
|---|---|
| Over 20.5 | 1.70 58.8% |
| Over 21.5 | 1.88 53.2% |
| Over 22.5 | 2.15 46.5% |
| Under 20.5 | 2.02 49.5% |
| Under 21.5 | 1.82 55.0% |
| Under 22.5 | 1.63 61.4% |
| Outcome | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| 1.93 51.8% | 1.92 52.1% | 2.20 45.5% | |
| 1.78 56.2% | 1.78 56.2% | 1.60 62.5% |
Full head-to-head historyHarazaki A - Roh Hoyoung