Plipuech vs Zhu Tipps - Tennis Prognosen für Heute - H2H, Statistics
Pre-Match Tennis Wett Tipps
| 2026-05-02 04:00 GMT | Peangtarn Plipuech - Amy Zhu | !selection! to win match | 02h57m | Jiangxi Open - Jiujiang | ITF Women 25k+ |
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Peangtarn Plipuech - Amy Zhu Statistics
Peangtarn Plipuech
Rangliste: 733
Geboren: 1992-11-15
Alter:
Land: THA
Amy Zhu
Rangliste: 656
Geboren: 1994-10-28
Alter:
Land: USA
Peangtarn Plipuech vs Amy Zhu - Head to Head
| Datum | Wettbewerb | Belag | Runde | Gewinner | Ergebnis |
|---|
Peangtarn Plipuech - Letzte Spiele
| Runde | Gegner | Ergebnis | ||
|---|---|---|---|---|
| 2026-04-27 - Huzhou Open - Huzhou Clay | Q1 | Jiaqi Wang | 6-2 6-3 | |
| 2026-03-09 - W75 Kyoto Indoor Hard | Q1 | Eri Shimizu | 6-3 6-3 | |
| 2026-02-09 - W75 Pune Hard | R1 | Maria Kalyakina | 6-3 7-5 | |
| 2026-02-09 - W75 Pune Hard | Q | Varvara Panshina | 6-2 6-3 | |
| 2026-02-09 - W75 Pune Hard | Q1 | Laalitya Kalluri | 6-2 6-2 | |
| 2026-02-02 - Mumbai Open - Mumbai Hard | R1 | Yasmine Kabbaj | 6-3 6-3 | |
| 2026-02-02 - Mumbai Open - Mumbai Hard | Q | Ankita Raina | 6-2 1-6 6-4 | |
| 2026-02-02 - Mumbai Open - Mumbai Hard | Q1 | Yara Bartashevich | 6-2 3-6 6-2 | |
| 2026-01-26 - Philippine Women's Open - Manila Hard | R1 | Yuliia Starodubtseva | 6-0 6-4 | |
| 2026-01-26 - Philippine Women's Open - Manila Hard | Q | Rina Saigo | 6-2 6-3 | |
| 2026-01-26 - Philippine Women's Open - Manila Hard | Q1 | Lauraine Jallorina | 6-0 6-1 | |
| 2026-01-12 - W75 Nonthaburi Hard | R1 | Anastasia Tikhonova | 6-2 6-2 | |
| 2026-01-05 - W75 Nonthaburi Hard | R1 | Thasaporn Naklo | 6-3 6-3 | |
| 2025-11-17 - W100 Takasaki Hard | Q1 | Hikaru Sato | 7-6(5) 6-1 | |
| 2025-11-10 - W15 Hua Hin Hard | QF | Aunchisa Chanta | 7-5 6-4 | |
| 2025-11-10 - W15 Hua Hin Hard | R2 | Sevil Yuldasheva | 6-1 6-4 | |
| 2025-11-10 - W15 Hua Hin Hard | R1 | Kamonwan Yodpetch | 6-1 7-6(3) | |
| 2025-09-22 - W100 Incheon Hard | R1 | Haruka Kaji | 6-4 7-6(4) | |
| 2025-09-22 - W100 Incheon Hard | Q | Chihiro Muramatsu | 6-4 6-7(2) 6-4 | |
| 2025-09-22 - W100 Incheon Hard | Q1 | Gaeul Jang | 7-5 6-4 |
Amy Zhu - Letzte Spiele
| Runde | Gegner | Ergebnis | ||
|---|---|---|---|---|
| 2026-04-27 - Huzhou Open - Huzhou Clay | Q | Chengyiyi Yuan | 6-3 3-6 7-5 | |
| 2026-04-27 - Huzhou Open - Huzhou Clay | Q1 | Naoko Eto | 6-1 6-0 | |
| 2026-04-20 - W50 Baotou Clay | R1 | Justina Mikulskyte | 4-6 6-3 6-2 | |
| 2026-04-20 - W50 Baotou Clay | Q | Yuyao Li | 4-6 6-3 6-3 | |
| 2026-04-06 - W35 Osaka Hard | Q2 | Tiana Tian Deng | 6-1 6-4 | |
| 2026-04-06 - W35 Osaka Hard | Q1 | Mia Hasegawa | 6-2 6-2 | |
| 2026-03-16 - W75 Kofu Hard | Q1 | Hiromi Abe | 6-0 6-2 | |
| 2026-03-09 - W75 Kyoto Indoor Hard | Q1 | Hayu Kinoshita | 6-2 6-3 | |
| 2026-02-23 - W35 Arcadia Hard | R1 | Hanna Chang | 6-3 6-3 | |
| 2025-11-10 - W15 Phan Thiet Hard | SF | Jiaqi Wang | 6-4 6-2 | |
| 2025-11-10 - W15 Phan Thiet Hard | QF | Kristiana Sidorova | 7-5 6-3 | |
| 2025-11-10 - W15 Phan Thiet Hard | R2 | Elsa Wan | 6-2 6-7(5) 7-5 | |
| 2025-11-10 - W15 Phan Thiet Hard | R1 | Amodini Naik | 6-1 6-0 | |
| 2025-10-27 - Hong Kong Tennis Open - Hong Kong Hard | Q | Yexin Ma | 7-5 6-1 | |
| 2025-10-27 - Hong Kong Tennis Open - Hong Kong Hard | Q1 | Nadiya Kolb | 7-5 7-6(7) | |
| 2025-10-20 - W35 Qian Daohu Hard | Q | Jiaqi Huang | 3-6 6-2 10-5 | |
| 2025-10-20 - W35 Qian Daohu Hard | Q1 | Yingqun Sun | 6-2 7-6(3) | |
| 2025-10-13 - W35 Huzhou Hard | R2 | Kristina Penickova | 6-2 6-7(6) 6-4 | |
| 2025-10-13 - W35 Huzhou Hard | R1 | Anri Nagata | 6-4 6-3 | |
| 2025-10-06 - W35 Kunshan Hard | R1 | Viktoria Morvayova | 6-4 3-6 7-5 |
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Bolt Walton Wett TippsPlipuech vs Zhu Tipps - Tennis Prognosen für Heute - H2H, Statistics Prognosen Seite Hilfe: Die Tabelle oben zeigt die heutige und kommende Tennis-Matches, sowie tägliche Tennis Wett-Tipps. Die wichtigste Spalte is Wahrscheinlichkeit: je höher die Wahrscheinlichkeit, desto größer ist die Chance, dass die gegebenen Tennis Vorhersage erfolgreich wird. Sie können weitere Informationen zur Tennis Prognosen and der Startseite lesen. Werfen Sie auch einen Blick auf die Tennis Prognosen Modell, um zu sehen, wie das Modell mit historischen Daten funktioniert.