Our model prediction (Glicko-2)
1 Moller E. ๐ฉ๐ฐ โ 56%
Pure model vs market (1 ยท Moller E. ๐ฉ๐ฐ): model 52% ยท market 86% ฮ โ34 pp model estimates below the market
Model estimate: win Moller E. ๐ฉ๐ฐ 55.7%, win Topo M 44.3%. Model favourite โ Moller E. ๐ฉ๐ฐ.
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
Based on the collected prematch data, the favourite looks like Moller E. ๐ฉ๐ฐ.
For reference
Odds source: Fonbet. This is the fair probability after removing the bookmaker margin from the odds โ reference information, not a prediction or a betting recommendation.
For reference
โ odds shortened (money on this outcome), โ drifted (line weakened). For reference, not a betting recommendation.
Model consensus
Modeli dayut edinyy signal. Takie matchi my pomechaem kak bolee silnye.
Head-to-head and form stats
Head-to-head and recent form per sports statistics โ for reference.
AI overview
AI analysis:5/7 ready ยท Still preparing:DeepSeek, ChatGPT
AI consensus:1
| AI | 1 | 2 | Score | Total games | Bet |
|---|---|---|---|---|---|
| Google AI | 54% | 46% | 2:1 | Over 22.5 | Total games bolshe 22.5 |
| Claude | 58% | 42% | 2:1 | Over 22.5 | Over 22.5 games |
| Qwen | 78% | 7% | 2:0 | Under 2.5 | Win DAC Dunayska Streda |
| Kimi | 56% | 44% | ... | ... | ... |
| GLM 5.2 | 58% | 42% | 2:0 | Over 22.5 |
V baze uchteny nedavnie matchi oboikh uchastnikov.
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.
| Outcome | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| — | — | 1.77 56.5% | |
| 1.83 54.6% | 1.78 56.2% | — | |
| 1.79 55.9% | 1.80 55.6% | — | |
| 1.97 50.8% | — | — | |
| — | — | 2.10 47.6% | |
| 1.89 52.9% | 1.92 52.1% | — | |
| 1.94 51.6% | 1.90 52.6% | — | |
| 1.76 56.8% | — | — | |
| — | — | 1.93 51.8% | |
| — | — | 2.10 47.6% | |
| — | — | 5.70 17.5% | |
| — | — | 1.80 55.6% | |
| — | — | 1.75 57.1% | |
| — | — | 1.42 70.4% |
| Outcome | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| Over 18.5 | — | — | 1.40 71.4% |
| Over 19.5 | — | — | 1.67 59.9% |
| Over 20.5 | — | — | 2.35 42.6% |
| Over 21.5 | 1.78 56.2% | 1.83 54.6% | 1.85 54.1% |
| Over 22.5 | — | — | 1.55 64.5% |
| Over 23.5 | — | — | 3.20 31.3% |
| Over 24.5 | — | — | 2.02 49.5% |
| Over 25.5 | — | — | 1.73 57.8% |
| Over 26.5 | — | — | 1.88 53.2% |
| Over 27.5 | — | — | 1.80 55.6% |
| Over 28.5 | — | — | 2.07 48.3% |
| Over 29.5 | — | — | 2.45 40.8% |
| Under 18.5 | — | — | 2.70 37.0% |
| Under 19.5 | — | — | 2.07 48.3% |
| Under 21.5 | 1.95 51.3% | 1.87 53.5% | — |
| Outcome | Baltbet | Betcity | Fonbet | Leon |
|---|---|---|---|---|
| 1.68 59.5% | 1.65 60.6% | 1.08 92.6% | 1.65 60.6% | |
| 2.10 47.6% | 2.10 47.6% | 6.60 15.2% | 2.11 47.4% |
Moller E. ๐ฉ๐ฐ
Faurel T. ๐ซ๐ท
Basile P. ๐ฎ๐น
Topo M
Ugo Karabelli K. ๐ฆ๐ท
Raquillet L. ๐ซ๐ท
Full head-to-head historyMoller E. ๐ฉ๐ฐ - Topo M
The Moller E. ๐ฉ๐ฐ - Topo M breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.