Skatov vs Gombos Tipps - Tennis Prognosen für Heute - H2H, Statistics

2022-01-18 Norbert Gombos vs Timofey Skatov Norbert Gombos to win match 1.523 -2.4 64.1 Australian Open - Melbourne ATP Won
Letztes Update: 2021-01-24 10:55:30 CET

Timofey Skatov - Norbert Gombos Statistics

Timofey Skatov


Ranking: 253

Born: 2001-01-21

Age:

Country: KAZ

Norbert Gombos


Ranking: 117

Born: 1990-08-13

Age:

Country: SVK

Timofey Skatov vs Norbert Gombos - Head to Head


Datum Veranstaltung Surface Round Winner Loser Result
2022-01-18 Australian Open - Melbourne Hard R1 Norbert Gombos Timofey Skatov 6-3 6-2 1-6 6-4

Timofey Skatov - Last Matches


Round Opponent Result
2022-01-17 - Australian Open - Melbourne Hard R1 Norbert Gombos 6-3 6-2 1-6 6-4
2022-01-17 - Australian Open - Melbourne Hard Q Gastao Elias 6-4 7-6(5)
2022-01-17 - Australian Open - Melbourne Hard Q2 Dane Sweeny 6-4 6-2
2022-01-17 - Australian Open - Melbourne Hard Q1 Hugo Grenier 6-3 6-2
2022-01-03 - Traralgon Challenger Hard R2 Mitchell Krueger 6-1 6-0
2022-01-03 - Traralgon Challenger Hard R1 Ryan Peniston 6-4 6-4
2021-11-15 - Campinas Challenger Clay QF Thiago Moura Monteiro 6-7(4) 6-3 7-6(4)
2021-11-15 - Campinas Challenger Clay R2 Andrea Collarini 7-6(2) 6-2
2021-11-15 - Campinas Challenger Clay R1 Renzo Olivo 6-3 7-6(3)
2021-11-08 - Montevideo Challenger Clay R2 Hugo Dellien 6-4 4-6 6-3
2021-11-08 - Montevideo Challenger Clay R1 Alejandro Tabilo 6-3 6-4
2021-11-01 - Tenerife Challenger Hard R1 Altug Celikbilek 6-3 6-0
2021-10-11 - Napoli 2 Challenger Clay R1 Alvaro Lopez San Martin 6-3 6-2
2021-10-04 - Barcelona Challenger Clay R2 Alex Molcan 6-1 7-6(6)
2021-10-04 - Barcelona Challenger Clay R1 Manuel Guinard 3-6 7-6(4) 6-1
2021-09-27 - Murcia Challenger Clay R1 Nicola Kuhn 6-2 6-4
2021-09-20 - Astana Open - Nur-Sultan Indoor Hard R2 Ilya Ivashka 6-2 6-3
2021-09-20 - Astana Open - Nur-Sultan Indoor Hard R1 Andreas Seppi 7-6(3) 4-6 6-1
2021-09-06 - Kyiv Challenger Clay SF Franco Agamenone 7-6(4) 6-3
2021-09-06 - Kyiv Challenger Clay QF Nuno Borges 6-7(5) 6-4 6-4

Norbert Gombos - Last Matches


Round Opponent Result
2022-01-17 - Australian Open - Melbourne Hard R2 Marin Cilic 6-2 6-3 3-6 7-6(6)
2022-01-17 - Australian Open - Melbourne Hard R1 Timofey Skatov 6-3 6-2 1-6 6-4
2022-01-17 - Australian Open - Melbourne Hard Q Matthew Ebden 6-7(3) 7-6(5) 7-6(8)
2022-01-17 - Australian Open - Melbourne Hard Q2 Renzo Olivo 6-0 3-6 7-6(6)
2022-01-17 - Australian Open - Melbourne Hard Q1 Andrey Kuznetsov 7-5 6-7(4) 6-2
2022-01-03 - Melbourne Summer Set - Melbourne Hard Q1 Altug Celikbilek 6-4 6-4
2021-11-15 - Pau Challenger Indoor Hard QF Sergiy Stakhovsky 6-4 1-6 7-6(5)
2021-11-15 - Pau Challenger Indoor Hard R2 Pavel Kotov 6-3 6-4
2021-11-15 - Pau Challenger Indoor Hard R1 Gabriel Debru 6-4 6-1
2021-11-08 - Bratislava Challenger Indoor Hard R1 Damir Dzumhur 6-3 6-3
2021-11-01 - Rolex Paris Masters - Paris Indoor Hard Q Marcos Giron 6-1 7-5
2021-11-01 - Rolex Paris Masters - Paris Indoor Hard Q1 Federico Coria 2-6 7-5 6-1
2021-10-25 - Erste Bank Open - Vienna Indoor Hard Q Alexei Popyrin 7-6(3) 6-7(0) 7-5
2021-10-25 - Erste Bank Open - Vienna Indoor Hard Q1 Marcos Giron 7-6(5) 6-4
2021-10-18 - European Open - Antwerp Indoor Hard Q Jenson Brooksby 6-4 6-2
2021-10-18 - European Open - Antwerp Indoor Hard Q1 Bernabe Zapata Miralles 6-3 6-2
2021-10-04 - Mouilleron-Le-Captif Challenger Indoor Hard F Jiri Vesely 6-4 6-4
2021-10-04 - Mouilleron-Le-Captif Challenger Indoor Hard SF Mats Rosenkranz 6-4 7-6(4)
2021-10-04 - Mouilleron-Le-Captif Challenger Indoor Hard QF Dennis Novak 4-6 6-3 6-2
2021-10-04 - Mouilleron-Le-Captif Challenger Indoor Hard R2 Kenny de Schepper 7-6(1) 7-6(4)

Timofey Skatov - Norbert Gombos 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.