Kraus vs Cirstea Tipps - Tennis Prognosen für Heute

Pre-Match Tennis Wett Tipps

2026-04-07 09:00 GMT

Sinja Kraus - Sorana Cirstea

!selection! to win match

01h35m

Upper Austria Ladies Linz - Linz

WTA

Letztes Update: 2026-04-05 18:45:29 UTC

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Sinja Kraus - Sorana Cirstea Statistics

Sinja Kraus

Rangliste: 118

Geboren: 2002-04-29

Alter:

Land: AUT

Sorana Cirstea

Rangliste: 29

Geboren: 1990-04-07

Alter:

Land: ROU

Sinja Kraus vs Sorana Cirstea - Head to Head

Datum	Wettbewerb	Belag	Runde	Gewinner	Ergebnis

Sinja Kraus - Letzte Spiele

	Runde	Gegner	Ergebnis
2026-03-16 - Miami Open - Miami Hard	R1	Alycia Parks	7-5 7-6(4)
2026-03-16 - Miami Open - Miami Hard	Q	Darja Semenistaja	6-2 6-3
2026-03-16 - Miami Open - Miami Hard	Q1	Lola Radivojevic	7-6(4) 6-3
2026-03-09 - Austin 125 - Austin Hard	QF	Paula Badosa Gibert	7-5 6-1
2026-03-09 - Austin 125 - Austin Hard	R2	Oksana Selekhmeteva	6-2 1-6 6-4
2026-03-09 - Austin 125 - Austin Hard	R1	Lucrezia Stefanini	6-3 6-4
2026-03-02 - BNP Paribas Open - Indian Wells Hard	Q1	Storm Hunter	7-6(4) 6-4
2026-02-16 - Oeiras 2 Jamor Indoor - Oeiras Indoor Hard	QF	Daria Snigur	6-1 6-0
2026-02-16 - Oeiras 2 Jamor Indoor - Oeiras Indoor Hard	R2	Iryna Shymanovich	6-2 6-3
2026-02-16 - Oeiras 2 Jamor Indoor - Oeiras Indoor Hard	R1	Caroline Werner	6-3 6-3
2026-02-09 - W75 Prague Indoor Hard	F	Tereza Martincova	6-3 6-4
2026-02-09 - W75 Prague Indoor Hard	SF	Jana Kovackova	6-4 6-1
2026-02-09 - W75 Prague Indoor Hard	QF	Mona Barthel	7-5 6-3
2026-02-09 - W75 Prague Indoor Hard	R2	Vendula Valdmannova	6-7(5) 6-3 6-3
2026-02-09 - W75 Prague Indoor Hard	R1	Kathinka Von Deichmann	6-4 7-6(4)
2026-02-02 - Ostrava Open - Ostrava Indoor Hard	R1	Viktorija Golubic	6-4 6-0
2026-01-19 - Australian Open - Melbourne Hard	Q1	Lina Gjorcheska	7-5 6-0
2026-01-05 - ASB Classic - Auckland Hard	R2	Francesca Jones	1-6 6-4 6-1
2026-01-05 - ASB Classic - Auckland Hard	R1	Julia Grabher	6-3 6-3
2026-01-05 - ASB Classic - Auckland Hard	Q	Kristina Mladenovic	7-5 7-5

Sorana Cirstea - Letzte Spiele

	Runde	Gegner	Ergebnis
2026-03-16 - Miami Open - Miami Hard	R4	Cori Gauff	6-4 3-6 6-2
2026-03-16 - Miami Open - Miami Hard	R3	Elise Mertens	6-3 6-2
2026-03-16 - Miami Open - Miami Hard	R2	Linda Noskova	6-2 3-6 6-4
2026-03-16 - Miami Open - Miami Hard	R1	Shuai Zhang	6-3 6-4
2026-03-02 - BNP Paribas Open - Indian Wells Hard	R3	Linda Noskova	6-7(5) 6-4 6-4
2026-03-02 - BNP Paribas Open - Indian Wells Hard	R2	Diana Shnaider	6-2 7-6(0)
2026-03-02 - BNP Paribas Open - Indian Wells Hard	R1	Tatjana Maria	6-4 4-6 6-3
2026-02-16 - Dubai Duty Free Championships - Dubai Hard	R3	Alexandra Eala	7-5 6-4
2026-02-16 - Dubai Duty Free Championships - Dubai Hard	R2	Linda Noskova	6-1 6-4
2026-02-16 - Dubai Duty Free Championships - Dubai Hard	R1	Aliaksandra Sasnovich	6-3 7-6(6)
2026-02-02 - Transylvania Open - Cluj-Napoca Indoor Hard	F	Emma Raducanu	6-0 6-2
2026-02-02 - Transylvania Open - Cluj-Napoca Indoor Hard	SF	Daria Snigur	6-0 6-3
2026-02-02 - Transylvania Open - Cluj-Napoca Indoor Hard	QF	Anastasia Potapova	7-5 6-4
2026-02-02 - Transylvania Open - Cluj-Napoca Indoor Hard	R2	Tamara Zidansek	6-1 6-0
2026-02-02 - Transylvania Open - Cluj-Napoca Indoor Hard	R1	Kamilla Rakhimova	6-4 6-4
2026-01-19 - Australian Open - Melbourne Hard	R2	Naomi Osaka	6-3 4-6 6-2
2026-01-19 - Australian Open - Melbourne Hard	R1	Eva Lys	3-6 6-4 6-3
2026-01-12 - Adelaide International - Adelaide Hard	Q	Kamilla Rakhimova	7-6(5) 6-3
2026-01-12 - Adelaide International - Adelaide Hard	Q1	Ulrikke Eikeri	6-3 6-3
2026-01-05 - Brisbane International - Brisbane Hard	R3	Aryna Sabalenka	6-3 6-3

Kraus vs Cirstea 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.