Pre-Match Tennis Wett Tipps

2026-03-01 16:00 GMT,In Progress Olivia Elliott - Federica Thomson !selection! to win match 44h13m W15 Huamantla ITF Women 15k
Letztes Update: 2026-03-01 08:49:04 UTC

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Olivia Elliott - Federica Thomson Statistics

Olivia Elliott

Rangliste: Over 900

Geboren: 2001-07-11

Alter:

Land: GBR

Federica Thomson

Rangliste: Over 900

Geboren: 1999-06-13

Alter:

Land: GER

Olivia Elliott vs Federica Thomson - Head to Head

Datum Wettbewerb Belag Runde Gewinner Ergebnis

Olivia Elliott - Letzte Spiele

Runde Gegner Ergebnis
2025-11-10 - W15 Criciuma Clay Q1 Lara Cristina Hass w/o
2024-11-25 - W35 Santo Domingo Hard Q1 Ingrid Vojcinakova 6-1 6-0
2018-12-10 - Antalya Hard Q1 Anna Laura Hinka 7-5 6-4
2018-12-03 - Antalya Hard Q1 Marina Timofeeva 6-1 6-3
2018-10-29 - Sharm El Sheikh Hard R1 Amber Washington 6-1 6-1
2018-10-22 - Sharm El Sheikh Hard Q1 Amber Washington 6-4 6-0
2018-10-15 - Sharm El Sheikh Hard Q Ivana Sebestova 6-3 4-6 6-3
2018-08-06 - Chiswick Hard Q1 Claudia Giovine 6-3 7-6(1)
2018-07-30 - Woking Hard Q1 Martina Paladini Jennings 6-4 6-4
2018-04-23 - Antalya Clay Q2 Marianna Zakarlyuk 6-1 6-4
2018-04-23 - Antalya Clay Q1 Alana Tuayeva 6-2 7-6(2)
2018-04-16 - Antalya Clay Q1 Anne-Sophie Morandais 6-4 6-0
2017-10-23 - Wirral Indoor Hard Q Hannah Mccolgan 6-3 6-3
2017-10-23 - Wirral Indoor Hard Q1 Olivia Peet 6-2 6-4
2016-10-24 - Loughborough Indoor Hard Q Victoria Smirnova 6-1 6-2
2016-10-24 - Loughborough Indoor Hard Q1 Anna Michelle Chesca 7-5 6-2

Federica Thomson - Letzte Spiele

Runde Gegner Ergebnis

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Elliott vs Thomson 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.