Our model prediction (Glicko-2)
1 Putintseva Yu. 🇰🇿 — 57%
Pure model vs market (1 · Putintseva Yu. 🇰🇿): model 50% · market 94% Δ −44 pp model estimates below the market
Model estimate: win Putintseva Yu. 🇰🇿 57.4%, win Lyu K. 🇺🇸 42.6%. Model favourite — Putintseva Yu. 🇰🇿.
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 Putintseva Yu. 🇰🇿.
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.
Model consensus
Модели дают единый сигнал. Такие матчи мы помечаем как более сильные.
Head-to-head and form stats
no data
Head-to-head and recent form per sports statistics — for reference.
AI overview
AI analysis:5/7 ready · Still preparing:DeepSeek, ChatGPT
AI consensus:1
| AI | 1 | 2 | Score | Total games | Bet |
|---|---|---|---|---|---|
| Google AI | 62% | 38% | 2:0 | ТМ 22.5 | Победа Путинцевой Ю. (П1) |
| Claude | 56% | 44% | 2:1 | ТБ 21.5 | П1 Путинцева (1.67) |
| Qwen | 58% | 42% | 2:1 | ТБ 21.5 | Победа Путинцевой (П1) |
| Kimi | 58% | 42% | 2:1 | ТБ 21.5 | П1 (Путинцева) |
| GLM 5.2 | 62% | 38% | 2:0 | ТМ 22.5 | П1 (Победа Путинцевой) |
В базе учтены недавние матчи обоих участников.
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 - рейтинговая модель силы: сравнивает линию, историю и стабильность, но не дает гарантий.
Best value: value не найден
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 |
|---|---|---|---|
| П1 -1.5 | 1.80 55.6% | 1.82 55.0% | — |
| П1 -2.5 | 1.89 52.9% | 1.93 51.8% | — |
| П2 +0.5 | — | — | 1.90 52.6% |
| П2 +1.5 | 1.95 51.3% | 2.00 50.0% | 2.55 39.2% |
| П2 +2.5 | 1.85 54.1% | 1.87 53.5% | 2.80 35.7% |
| П2 -0.5 | — | — | 1.95 51.3% |
| П2 -1.5 | — | — | 1.90 52.6% |
| П2 -2.5 | — | — | 2.20 45.5% |
| П2 -3.5 | — | — | 2.45 40.8% |
| П2 -4.5 | — | — | 7.80 12.8% |
| П2 -5.5 | — | — | 4.90 20.4% |
| П2 -6.5 | — | — | 1.40 71.4% |
| Outcome | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| ТБ 19.5 | — | — | 1.40 71.4% |
| ТБ 20.5 | — | — | 4.90 20.4% |
| ТБ 21.5 | 1.84 54.4% | 1.87 53.5% | 7.60 13.2% |
| ТБ 22.5 | — | — | 1.90 52.6% |
| ТБ 23.5 | — | — | 1.95 51.3% |
| ТБ 24.5 | — | — | 2.15 46.5% |
| ТБ 25.5 | — | — | 2.65 37.7% |
| ТБ 26.5 | — | — | 3.00 33.3% |
| ТМ 19.5 | — | — | 2.80 35.7% |
| ТМ 20.5 | — | — | 1.14 87.7% |
| ТМ 21.5 | 1.90 52.6% | 1.93 51.8% | 1.04 96.2% |
| ТМ 22.5 | — | — | 1.90 52.6% |
| ТМ 23.5 | — | — | 1.85 54.1% |
| ТМ 24.5 | — | — | 1.63 61.4% |
| Outcome | Baltbet | Betcity | Fonbet | Leon |
|---|---|---|---|---|
| П1 | 1.59 62.9% | 1.67 59.9% | 1.01 99.0% | 1.62 61.7% |
| П2 | 2.27 44.1% | 2.20 45.5% | 15.00 6.7% | 2.26 44.3% |
Putintseva Yu. 🇰🇿
Бадоса Х.-П. (Исп)
Краус С. (Авт)
Lyu K. 🇺🇸
Попа М. С. (Рум)
Краус С. (Авт)
Гауфф К. (Сша)
Full head-to-head historyPutintseva Yu. 🇰🇿 - Lyu K. 🇺🇸