Predições de Ténis Marta Kostyuk - Kaja Juvan BGL Luxembourg Open - Luxembourg WTA - Dicas de Aposta de Ténis e Escolhas para Hoje

Última atualização: 2019-10-12 17:58:16 UTC


Marta Kostyuk - Kaja Juvan Statistics

Marta Kostyuk


Ranking: 163

Born: 2002-06-28

Age:

Country: UKR

Kaja Juvan


Ranking: 134

Born: 2000-11-25

Age:

Country: SLO

Marta Kostyuk vs Kaja Juvan - Head to Head


Data Evento Surface Round Winner Loser Result
2019-10-13 BGL Luxembourg Open - Luxembourg Indoor Hard Q2 Marta Kostyuk Kaja Juvan 6-0 6-4
2017-07-10 Wimbledon (juniors) Grass R1 Marta Kostyuk Kaja Juvan 7-5 6-3

Marta Kostyuk - Last Matches


Round Opponent Result
2019-10-14 - BGL Luxembourg Open - Luxembourg Indoor Hard Q2 Kaja Juvan 6-0 6-4
2019-10-14 - BGL Luxembourg Open - Luxembourg Indoor Hard Q1 Despina Papamichail 6-4 6-3
2019-09-23 - W60+H Valencia Clay SF Tamara Korpatsch 7-5 6-2
2019-09-23 - W60+H Valencia Clay QF Arantxa Rus 6-4 3-6 6-0
2019-09-23 - W60+H Valencia Clay R2 Sara Errani 6-2 6-4
2019-09-23 - W60+H Valencia Clay R1 Mandy Minella 6-3 6-1
2019-09-16 - W60+H Saint-Malo Clay F Varvara Gracheva 6-3 6-2
2019-09-16 - W60+H Saint-Malo Clay SF Veronica Cepede Royg 6-4 6-2
2019-09-16 - W60+H Saint-Malo Clay QF Maryna Zanevska 7-6(5) 6-1
2019-09-16 - W60+H Saint-Malo Clay R2 Margot Yerolymos 6-1 6-4
2019-09-16 - W60+H Saint-Malo Clay R1 Guiomar Zuleta De Reales 6-3 6-1
2019-09-02 - W60+H Zagreb Clay R1 Victoria Kan 1-6 6-2 6-3
2019-07-01 - Wimbledon - London Grass Q1 Anna Kalinskaya 6-1 7-5
2019-06-17 - W100 Ilkley Grass R1 Robin Anderson 4-6 7-6(0) 6-2
2019-06-17 - W100 Ilkley Grass Q Katarina Zavatska 7-5 6-4
2019-06-17 - W100 Ilkley Grass Q1 Kaylah Mcphee 3-6 7-5 10-6
2019-06-03 - W60+H Torun Clay F Rebecca Sramkova 6-1 6-2
2019-06-03 - W60+H Torun Clay SF Allie Kiick 6-7(2) 6-3 6-4
2019-06-03 - W60+H Torun Clay QF Anhelina Kalinina 1-6 6-3 6-3
2019-06-03 - W60+H Torun Clay R2 Paula Ormaechea 6-4 4-6 7-6(4)

Kaja Juvan - Last Matches


Round Opponent Result
2019-10-14 - BGL Luxembourg Open - Luxembourg Indoor Hard Q2 Marta Kostyuk 6-0 6-4
2019-10-14 - BGL Luxembourg Open - Luxembourg Indoor Hard Q1 Tatiana Golovin 6-3 6-1
2019-10-07 - Upper Austria Ladies Linz - Linz Indoor Hard Q1 Laura Siegemund 6-3 7-5
2019-07-15 - Bucharest Open - Bucharest Clay R2 Irina-Camelia Begu 6-4 6-3
2019-07-15 - Bucharest Open - Bucharest Clay R1 Isabella Shinikova 5-7 6-1 6-1
2019-07-01 - Wimbledon - London Grass R2 Serena Williams 2-6 6-2 6-4
2019-07-01 - Wimbledon - London Grass R1 Kristyna Pliskova 6-4 2-6 6-4
2019-07-01 - Wimbledon - London Grass Q Christina Mchale 6-2 6-1
2019-07-01 - Wimbledon - London Grass Q2 Basak Eraydin 4-6 7-6(3) 6-3
2019-07-01 - Wimbledon - London Grass Q1 Valentini Grammatikopoulou 6-4 3-6 10-8
2019-06-17 - Mallorca Open - Mallorca Grass R1 Ons Jabeur 7-5 7-6(5)
2019-06-17 - Mallorca Open - Mallorca Grass Q Sabine Lisicki 5-7 6-4 6-4
2019-06-17 - Mallorca Open - Mallorca Grass Q1 Greetje Minnen 6-1 7-5
2019-06-04 - Croatia Bol Open - Bol Clay SF Tamara Zidansek 2-6 7-5 7-5
2019-06-04 - Croatia Bol Open - Bol Clay QF Aleksandra Krunic 7-5 6-3
2019-06-04 - Croatia Bol Open - Bol Clay R2 Astra Sharma 6-1 6-0
2019-06-04 - Croatia Bol Open - Bol Clay R1 Dalila Jakupovic 6-2 6-0
2019-05-27 - French Open - Paris Clay R1 Sorana Cirstea 5-7 6-4 7-5
2019-05-27 - French Open - Paris Clay Q Bernarda Pera 6-4 1-6 7-6(1)
2019-05-27 - French Open - Paris Clay Q2 Cori Gauff 6-3 6-3

Página de ajuda de Predições Marta Kostyuk - Kaja Juvan BGL Luxembourg Open - Luxembourg WTA: A tabela acima mostra os jogos de ténis de hoje e futuros, bem como dicas de apostas de ténis diárias para eles. A coluna mais importante é a Probabilidade: mostra a probabilidade das dicas de aposta de ténis: quanto maior a probabilidade, maior a possibilidade da predição de ténis dada ser bem-sucedida. Se necessitar de mais informações para perceber as predições de ténis, por favor, vá à página principal onde pode encontrar mais detalhes sobre as dicas de aposta. Dê igualmente uma vista de olhos no modelo de predição de ténis teste, teste retroativo para ver como o modelo se comporta com dados históricos.