Cabrera L / Kuwata H - Kinoshita H / Sakatsume H
About the athletes
Our model prediction (Glicko-2)
2 Kinoshita H / Sakatsume H — 56%
Pure model vs market (2 · Kinoshita H / Sakatsume H): model 48% · market 92% Δ −44 pp model estimates below the market
Model estimate: win Cabrera L / Kuwata H 44.2%, win Kinoshita H / Sakatsume H 55.8%. Model favourite — Kinoshita H / Sakatsume H.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Kabrera L./Kuvata Kh
- • — Kinosita Kh./Sakatsume Kh
- • (tennis)
- • Model backs Kabrera L./Kuvata Kh.: probability 52% vs 50% on the line (odds 2.00)
- • edge over the line +2 pp — value pick.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Cabrera L / Kuwata H - Kinoshita H / Sakatsume H July 30, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Kinoshita H / Sakatsume H.
- Win odds (Fonbet): 1 11.00 / 2 1.02
- Glicko: Cabrera L / Kuwata H 44.2% / Kinoshita H / Sakatsume H 55.8%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin — for reference, not a betting recommendation.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
Line movement
How the odds changed from opening to the current line — for reference, not a betting recommendation.↓ odds shortened (money on this outcome), ↑ drifted (line weakened). For reference, not a betting recommendation.
Cabrera L / Kuwata H - Kinoshita H / Sakatsume H
We mark in green only strong signals where the model passed our publication filter. The other rows are for audit and training.
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.
Handicap
| Outcome | Betcity | Fonbet |
|---|---|---|
| 1.85 54.1% | — | |
| 1.85 54.1% | — | |
| — | 1.90 52.6% | |
| — | 2.55 39.2% | |
| — | 2.13 47.0% | |
| — | 1.70 58.8% | |
| — | 1.90 52.6% | |
| — | 1.95 51.3% | |
| — | 1.78 56.2% | |
| — | 1.32 75.8% | |
| — | 1.70 58.8% | |
| — | 1.80 55.6% | |
| 1.85 54.1% | 1.45 69.0% | |
| 1.85 54.1% | 1.63 61.4% | |
| — | 2.02 49.5% | |
| — | 1.70 58.8% |
Total
| Outcome | Betcity | Fonbet |
|---|---|---|
| Over 20.5 | — | 1.70 58.8% |
| Over 21.5 | 1.80 55.6% | 1.73 57.8% |
| Over 22.5 | — | 1.85 54.1% |
| Over 23.5 | — | 2.02 49.5% |
| Over 24.5 | — | 1.85 54.1% |
| Over 30.5 | — | 1.83 54.6% |
| Over 31.5 | — | 2.02 49.5% |
| Over 32.5 | — | 1.77 56.5% |
| Over 33.5 | — | 1.80 55.6% |
| Over 34.5 | — | 1.93 51.8% |
| Over 35.5 | — | 2.02 49.5% |
| Over 36.5 | — | 3.05 32.8% |
| Over 37.5 | — | 2.30 43.5% |
| Under 20.5 | — | 2.02 49.5% |
| Under 21.5 | 1.90 52.6% | 2.00 50.0% |
| Under 22.5 | — | 1.85 54.1% |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Fonbet | Leon |
|---|---|---|---|---|
| 2.15 46.5% | 2.12 47.2% | 11.00 9.1% | 2.02 49.5% | |
| 1.62 61.7% | 1.64 61.0% | 1.02 98.0% | 1.68 59.5% |
Full head-to-head historyCabrera L / Kuwata H - Kinoshita H / Sakatsume H
Match history
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The Cabrera L / Kuwata H - Kinoshita H / Sakatsume H 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