Matsuda vs Ryser Tipps - Tennis Prognosen für Heute - H2H, Statistics
Pre-Match Tennis Wett Tipps
| 2026-04-28 02:05 GMT | Misaki Matsuda - Valentina Ryser | !selection! to win match | 04h25m | W100 Gifu | ITF Women 25k+ |
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Misaki Matsuda - Valentina Ryser Statistics
Misaki Matsuda
Rangliste: 370
Geboren: 1998-08-21
Alter:
Land: JPN
Valentina Ryser
Rangliste: 420
Geboren: 2001-03-22
Alter:
Land: SUI
Misaki Matsuda vs Valentina Ryser - Head to Head
| Datum | Wettbewerb | Belag | Runde | Gewinner | Ergebnis |
|---|
Misaki Matsuda - Letzte Spiele
| Runde | Gegner | Ergebnis | ||
|---|---|---|---|---|
| 2026-04-27 - W100 Gifu Hard | Q1 | Kyoka Takahashi | 6-0 6-3 | |
| 2026-04-13 - W35 Miyazaki Hard | QF | Sakura Hosogi | 6-3 6-3 | |
| 2026-04-13 - W35 Miyazaki Hard | R2 | Mika Stojsavljevic | 6-3 6-3 | |
| 2026-04-13 - W35 Miyazaki Hard | R1 | Miho Kuramochi | 6-0 6-1 | |
| 2026-04-06 - W35 Osaka Hard | QF | Hina Inoue | 7-6(3) 6-2 | |
| 2026-04-06 - W35 Osaka Hard | R2 | Hayu Kinoshita | 6-4 6-2 | |
| 2026-04-06 - W35 Osaka Hard | R1 | Himari Sato | 6-3 6-1 | |
| 2026-03-30 - W100 Luan Hard | R2 | Harriet Dart | 6-2 6-2 | |
| 2026-03-30 - W100 Luan Hard | R1 | Ena Shibahara | 6-2 3-6 6-3 | |
| 2026-03-30 - W100 Luan Hard | Q | Qianhui Tang | 6-2 6-2 | |
| 2026-03-30 - W100 Luan Hard | Q1 | Yidi Yang | 3-6 6-3 6-4 | |
| 2026-03-23 - W50 Maanshan Indoor Hard | Q1 | Meiqi Guo | 1-6 6-3 6-2 | |
| 2026-03-16 - W75 Kofu Hard | Q | Mei Yamaguchi | 6-2 6-1 | |
| 2026-03-16 - W75 Kofu Hard | Q1 | Rinko Matsuda | 7-5 7-5 | |
| 2026-03-09 - W75 Kyoto Indoor Hard | Q | Ena Koike | 7-6(4) 6-3 | |
| 2026-03-09 - W75 Kyoto Indoor Hard | Q1 | Anri Nagata | 6-2 6-1 | |
| 2026-02-16 - W100 Bengaluru Hard | R1 | Jasmijn Gimbrere | 7-5 7-5 | |
| 2026-02-16 - W100 Bengaluru Hard | Q | Akanksha Dileep Nitture | 6-1 6-0 | |
| 2026-02-16 - W100 Bengaluru Hard | Q1 | Ulyana Hrabavets | 6-2 6-2 | |
| 2026-02-09 - W75 Pune Hard | Q | Maria Kalyakina | 4-6 6-2 6-4 |
Valentina Ryser - Letzte Spiele
| Runde | Gegner | Ergebnis | ||
|---|---|---|---|---|
| 2026-04-27 - W100 Gifu Hard | Q1 | Mayuka Aikawa | 6-1 4-6 6-3 | |
| 2026-04-20 - W35 Miyazaki Hard | SF | Hanna Chang | 6-2 6-3 | |
| 2026-04-20 - W35 Miyazaki Hard | QF | Jia-Jing Lu | 7-6(4) 6-4 | |
| 2026-04-20 - W35 Miyazaki Hard | R2 | On Yu Choi | 6-2 4-6 6-0 | |
| 2026-04-20 - W35 Miyazaki Hard | R1 | Su Jeong Jang | 6-3 6-4 | |
| 2026-04-06 - W75 Calvi Hard | QF | Katherine Sebov | 6-3 6-3 | |
| 2026-04-06 - W75 Calvi Hard | R2 | Daria Snigur | 6-4 4-1 ret. | |
| 2026-04-06 - W75 Calvi Hard | R1 | Carolyn Ansari | 6-3 7-6(1) | |
| 2026-03-23 - W50 Croissy-Beaubourg Indoor Hard | R1 | Julia Stusek | 6-3 5-7 6-4 | |
| 2026-03-23 - W50 Croissy-Beaubourg Indoor Hard | Q | Emily Appleton | 7-6(5) 7-6(3) | |
| 2026-03-23 - W50 Croissy-Beaubourg Indoor Hard | Q1 | Katerina Tsygourova | 7-6(2) 4-6 6-2 | |
| 2026-03-16 - W75 Maribor Indoor Hard | R1 | Laura Samson | 6-2 3-6 7-5 | |
| 2026-03-16 - W75 Maribor Indoor Hard | Q | Yuriko Miyazaki | 6-1 3-6 6-3 | |
| 2026-03-16 - W75 Maribor Indoor Hard | Q1 | Zala Bizjak | 6-1 6-2 | |
| 2026-03-02 - W75 Trnava Indoor Hard | R2 | Daria Snigur | 6-0 6-1 | |
| 2026-03-02 - W75 Trnava Indoor Hard | R1 | Adela Polakovicova | 6-2 7-5 | |
| 2026-03-02 - W75 Trnava Indoor Hard | Q | Julia Adams | 6-0 6-1 | |
| 2026-03-02 - W75 Trnava Indoor Hard | Q1 | Tamila Gadamauri | 6-2 6-2 | |
| 2026-02-23 - W75 Trnava Indoor Hard | R1 | Alicia Dudeney | 7-6(7) 3-6 7-6(4) | |
| 2026-02-16 - W75 Altenkirchen Carpet | QF | Noma Akugue Noha | 2-6 7-5 6-3 |
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Pavlovic Sachko Wett TippsMatsuda vs Ryser 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.