Rabl L / Rothensteiner L M - Hosoki Y./Yoshioka K.
About the athletes
Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
2 Hosoki Y./Yoshioka K. — 64%
Pure model vs market (2 · Hosoki Y./Yoshioka K.): model 48% · market 91% Δ −43 pp model estimates below the market
Model estimate: win Rabl L / Rothensteiner L M 35.6%, win Hosoki Y./Yoshioka K. 64.4%. Model favourite — Hosoki Y./Yoshioka K..
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Rabl L./Rotenshtayner L
- • — Hosoki Y./Yoshioka K
- • (tennis)
- • Model backs Rabl L./Rotenshtayner L.: probability 52% vs 37% on the line (odds 2.69)
- • edge over the line +15 pp — value pick.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Rabl L / Rothensteiner L M - Hosoki Y./Yoshioka K. July 28, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Hosoki Y./Yoshioka K..
- Win odds (Fonbet): 1 10.00 / 2 1.02
- Glicko: Rabl L / Rothensteiner L M 35.6% / Hosoki Y./Yoshioka K. 64.4%
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.
Rabl L / Rothensteiner L M - Hosoki Y./Yoshioka K.
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 | Fonbet |
|---|---|
| 1.85 54.1% | |
| 2.15 46.5% | |
| 2.10 47.6% | |
| 2.45 40.8% | |
| 11.00 9.1% | |
| 1.73 57.8% | |
| 1.85 54.1% | |
| 1.63 61.4% | |
| 1.65 60.6% | |
| 1.50 66.7% | |
| 1.01 99.0% | |
| 2.00 50.0% |
Total
| Outcome | Fonbet |
|---|---|
| Over 18.5 | 1.85 54.1% |
| Over 19.5 | 1.95 51.3% |
| Over 20.5 | 11.00 9.1% |
| Over 21.5 | 2.40 41.7% |
| Over 22.5 | 1.93 51.8% |
| Over 23.5 | 1.88 53.2% |
| Over 24.5 | 1.80 55.6% |
| Over 25.5 | 1.88 53.2% |
| Over 32.5 | 1.85 54.1% |
| Over 34.5 | 1.85 54.1% |
| Under 18.5 | 1.85 54.1% |
| Under 19.5 | 1.75 57.1% |
| Under 20.5 | 1.01 99.0% |
| Under 21.5 | 1.50 66.7% |
| Under 22.5 | 1.77 56.5% |
| Under 23.5 | 1.82 55.0% |
| Under 24.5 | 1.90 52.6% |
| Under 25.5 | 1.82 55.0% |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Fonbet | Leon |
|---|---|---|---|---|
| 2.73 36.6% | 2.75 36.4% | 10.00 10.0% | 2.69 37.2% | |
| 1.40 71.4% | 1.40 71.4% | 1.02 98.0% | 1.37 73.0% |
Full head-to-head historyRabl L / Rothensteiner L M - Hosoki Y./Yoshioka K.
Match history
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The Rabl L / Rothensteiner L M - Hosoki Y./Yoshioka K. 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