Kobori vs Naito Tipps - Tennis Prognosen für Heute - H2H, Statistics
Pre-Match Tennis Wett Tipps
| 2026-05-23 03:00 GMT | Momoko Kobori - Yuki Naito | !selection! to win match | 04h26m | W100 Takasaki | ITF Women 25k+ |
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Momoko Kobori - Yuki Naito Statistics
Momoko Kobori
Rangliste: 401
Geboren: 1998-08-22
Alter:
Land: JPN
Yuki Naito
Rangliste: 437
Geboren: 2001-02-16
Alter:
Land: JPN
Momoko Kobori vs Yuki Naito - Head to Head
| Datum | Wettbewerb | Belag | Runde | Gewinner | Ergebnis |
|---|---|---|---|---|---|
| 2017-04-03 | Kashiwa | Hard | Q1 | Momoko Kobori | 6-0 6-2 |
Momoko Kobori - Letzte Spiele
| Runde | Gegner | Ergebnis | ||
|---|---|---|---|---|
| 2026-05-18 - W100 Takasaki Hard | QF | Hikaru Sato | 6-3 6-4 | |
| 2026-05-18 - W100 Takasaki Hard | R2 | Mei Yamaguchi | 6-4 6-3 | |
| 2026-05-18 - W100 Takasaki Hard | R1 | Ikumi Yamazaki | 6-0 7-6(6) | |
| 2026-05-18 - W100 Takasaki Hard | Q | Hong Yi Cody Wong | 6-2 6-1 | |
| 2026-05-18 - W100 Takasaki Hard | Q1 | Yuka Naito | 7-5 6-4 | |
| 2026-05-11 - W75 Kurume Carpet | SF | Kyoka Okamura | 6-3 6-2 | |
| 2026-05-11 - W75 Kurume Carpet | QF | Natsumi Kawaguchi | 3-6 6-3 7-5 | |
| 2026-05-11 - W75 Kurume Carpet | R2 | Nagi Hanatani | 6-0 6-3 | |
| 2026-05-11 - W75 Kurume Carpet | R1 | Raluca Georgiana Serban | 6-3 4-6 6-1 | |
| 2026-04-20 - W100 Tokyo Hard | Q1 | Mayuka Aikawa | 6-2 6-3 | |
| 2026-04-13 - Open Capfinances Rouen Metropole - Rouen Clay | Q1 | Veronika Podrez | 6-0 6-3 | |
| 2026-04-06 - Grand Prix Open Villa de Madrid - Madrid Clay | Q1 | Caroline Werner | 6-1 7-6(2) | |
| 2026-03-16 - W75 Kofu Hard | Q | Hiromi Abe | 6-3 4-6 7-5 | |
| 2026-03-16 - W75 Kofu Hard | Q1 | Ya-Hsuan Lee | 7-6(3) 6-3 | |
| 2026-03-09 - W75 Kyoto Indoor Hard | Q1 | Sera Nishimoto | 6-3 6-3 | |
| 2025-11-17 - W100 Takasaki Hard | Q | Mayuka Aikawa | 6-1 7-5 | |
| 2025-11-17 - W100 Takasaki Hard | Q1 | Dabin Kim | 6-4 6-2 | |
| 2025-11-03 - W35 Hamamatsu Carpet | F | Eri Shimizu | 6-2 6-4 | |
| 2025-11-03 - W35 Hamamatsu Carpet | SF | Eunhye Lee | 6-1 6-1 | |
| 2025-11-03 - W35 Hamamatsu Carpet | QF | Rinko Matsuda | 6-2 6-4 |
Yuki Naito - Letzte Spiele
| Runde | Gegner | Ergebnis | ||
|---|---|---|---|---|
| 2026-05-18 - W100 Takasaki Hard | QF | Raluca Georgiana Serban | 6-3 6-4 | |
| 2026-05-18 - W100 Takasaki Hard | R2 | Eri Shimizu | 7-5 6-4 | |
| 2026-05-18 - W100 Takasaki Hard | R1 | Hina Inoue | 6-7(8) 7-5 6-4 | |
| 2026-05-18 - W100 Takasaki Hard | Q | Sakura Hosogi | 6-1 6-2 | |
| 2026-05-18 - W100 Takasaki Hard | Q1 | Tenika Mcgiffin | 6-1 6-2 | |
| 2026-05-11 - W35 Andong Hard | QF | Dayeon Back | 6-3 7-5 | |
| 2026-05-11 - W35 Andong Hard | R2 | Misaki Matsuda | 6-0 6-1 | |
| 2026-05-11 - W35 Andong Hard | R1 | Eunji Lee | 6-3 6-2 | |
| 2026-05-04 - W35 Changwon Hard | QF | Dayeon Back | 5-7 6-4 6-4 | |
| 2026-05-04 - W35 Changwon Hard | R2 | Jiangxue Han | 4-6 6-2 7-6(5) | |
| 2026-05-04 - W35 Changwon Hard | R1 | On Yu Choi | 6-0 6-0 | |
| 2026-04-27 - W100 Gifu Hard | R2 | Lanlana Tararudee | 6-3 6-4 | |
| 2026-04-27 - W100 Gifu Hard | R1 | Karman Kaur Thandi | 6-1 6-2 | |
| 2026-04-27 - W100 Gifu Hard | Q | Kyoka Okamura | 0-6 6-4 6-3 | |
| 2026-04-27 - W100 Gifu Hard | Q1 | Hanna Chang | 4-3 ret. | |
| 2026-04-20 - W100 Tokyo Hard | R2 | Mai Hontama | 6-1 6-7(5) 7-5 | |
| 2026-04-20 - W100 Tokyo Hard | R1 | Priscilla Hon | 6-2 6-2 | |
| 2026-04-20 - W100 Tokyo Hard | Q | Heather Watson | 7-6(3) 6-1 | |
| 2026-04-20 - W100 Tokyo Hard | Q1 | Tenika Mcgiffin | 6-3 6-2 | |
| 2026-04-06 - W35 Osaka Hard | R2 | Hina Inoue | 6-4 2-6 7-6(5) |
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Wawrinka Fils Wett TippsKobori vs Naito 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.