M15 Offenbach, Germany, Doubles Odds (New Zealand)

M15 Offenbach, Germany, Doubles — Nov(Nov 9, 2026 – Nov 15, 2026)

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Event MonthCurrent Month

October 2026

197 matches · 2 days

Mon, Oct 269 matches

11 PM

12 AM

Tue, Oct 27188 matches

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197 upcoming matches.

We compare M15 Offenbach, Germany, Doubles odds across 21 bookmakers in New Zealand

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Market

Game	Consensus	Bet on Red	Rainbet	RollBit
Today
Candelas Ruiz R/Llanes Echavarria P Alvarez M/Liu L Mon, Oct 26, 11:00 PM UTC	6.40 1.07	6.40 1.07	6.40 1.07	6.40 1.07
Flores J/Quesada Perez T Lage L/Martinez Miranda J Mon, Oct 26, 11:00 PM UTC	1.34 2.88	1.34 2.88	1.34 2.88	1.34 2.88
Zane Stevens Matthew Shearer Mon, Oct 26, 11:00 PM UTC	1.10 5.40	1.10 5.40	1.10 5.40	1.10 5.40
Alex Bulte Nick Beamish Mon, Oct 26, 11:00 PM UTC	1.47 2.42	1.47 2.42	1.47 2.42	1.47 2.42
Ymerali Ibraimi Heaton Pann Mon, Oct 26, 11:00 PM UTC	1.20 3.80	1.20 3.80	1.20 3.80	1.20 3.80
Lachlan Vickery Samarth Patel Mon, Oct 26, 11:00 PM UTC	1.06 6.80	1.06 6.80	1.06 6.80	1.06 6.80
Monique Barry Yuka Hosoki Mon, Oct 26, 11:00 PM UTC	1.30 3.05	1.30 3.05	1.30 3.05	1.30 3.05
Yuhan Liu Naomi McKenzie Mon, Oct 26, 11:00 PM UTC	1.20 3.80	1.20 3.80	1.20 3.80	1.20 3.80
Sera Nishimoto Maiko Uchijima Mon, Oct 26, 11:00 PM UTC	1.65 2.06	1.65 2.06	1.65 2.06	1.65 2.06
Tomorrow
Grigory Shebekin Akmal Abdullaev Tue, Oct 27, 6:00 AM UTC	1.06 6.80	1.06 6.80	1.06 6.80	1.06 6.80
Roman Kharlamov Sergey Petrov Tue, Oct 27, 8:00 AM UTC	5.40 1.10	5.40 1.10	5.40 1.10	5.40 1.10
Abdurakhmon Karimov Dmitry Bessonov Tue, Oct 27, 8:00 AM UTC	6.80 1.06	6.80 1.06	6.80 1.06	6.80 1.06
Saveliy Ivanov Edoardo Cherie Ligniere Tue, Oct 27, 7:00 PM UTC	1.65 2.06	1.65 2.06	1.65 2.06	1.65 2.06
Digvijay Pratap Singh Daniel Khazime Tue, Oct 27, 7:00 PM UTC	1.12 4.90	1.12 4.90	1.12 4.90	1.12 4.90
Muzammil Murtaza Pavel Savelov Tue, Oct 27, 7:00 PM UTC	1.39 2.68	1.39 2.68	1.39 2.68	1.39 2.68
Maxim Shin Adrian Arcon Tue, Oct 27, 7:00 PM UTC	1.15 4.50	1.15 4.50	1.15 4.50	1.15 4.50
Eichenseher D/Mueller C Beknazarov M/Zinatulin A Tue, Oct 27, 10:00 AM UTC	1.03 8.60	1.03 8.60	1.03 8.60	1.03 8.60
Kolninov O/Savelov P Hrazdil J/Lakshmanan A Tue, Oct 27, 10:00 AM UTC	5.60 1.09	5.60 1.09	5.60 1.09	5.60 1.09
Odysseas Geladaris Ioannis Xilas Tue, Oct 27, 8:00 AM UTC	9.20 1.02	9.20 1.02	9.20 1.02	9.20 1.02
Alexandre Reco Pablo Perez Ramos Tue, Oct 27, 8:00 AM UTC	1.56 2.22	1.56 2.22	1.56 2.22	1.56 2.22
Nikolaos Chatziavraam Alexander Vasilev Tue, Oct 27, 9:00 AM UTC	8.60 1.03	8.60 1.03	8.60 1.03	8.60 1.03
Ryotaro Taguchi Michel Hopp Tue, Oct 27, 9:00 AM UTC	1.65 2.06	1.65 2.06	1.65 2.06	1.65 2.06
Etienne Donnet Alexandre Aubriot Tue, Oct 27, 9:30 AM UTC	1.20 3.80	1.20 3.80	1.20 3.80	1.20 3.80
Jeremy Gschwendtner Miles Jones Tue, Oct 27, 9:30 AM UTC	2.56 1.42	2.56 1.42	2.56 1.42	2.56 1.42
Tomas Curras Abasolo Benjamin Pietri Tue, Oct 27, 10:30 AM UTC	3.05 1.30	3.05 1.30	3.05 1.30	3.05 1.30
Gabriel Ghetu Jan Sadzik Tue, Oct 27, 10:30 AM UTC	1.10 5.40	1.10 5.40	1.10 5.40	1.10 5.40
Dimitriou G/Schinas S Perez Ramos P/Wright M Tue, Oct 27, 11:00 AM UTC	9.80 1.01	9.80 1.01	9.80 1.01	9.80 1.01
Cizek J/Filip J Friberg K/Ryden V Tue, Oct 27, 11:00 AM UTC	1.56 2.22	1.56 2.22	1.56 2.22	1.56 2.22
Cristian Felipe Sanchez Rojas Maxwell McKennon Tue, Oct 27, 12:00 AM UTC	7.20 1.05	7.20 1.05	7.20 1.05	7.20 1.05
Jeronimo Velazco Escobar Ryan Colby Tue, Oct 27, 2:00 AM UTC	7.20 1.05	7.20 1.05	7.20 1.05	7.20 1.05
Alan Raul Sau Franco Jesse Flores Tue, Oct 27, 7:00 AM UTC	4.90 1.12	4.90 1.12	4.90 1.12	4.90 1.12
Rafael Alfonso De Alba Valdes Joshua Peck Tue, Oct 27, 7:00 AM UTC	2.56 1.42	2.56 1.42	2.56 1.42	2.56 1.42
Damien Salvestre Joaquin Guilleme Tue, Oct 27, 7:00 AM UTC	2.06 1.65	2.06 1.65	2.06 1.65	2.06 1.65
Rodrigo Alujas Marco Alvarez Tue, Oct 27, 7:00 AM UTC	1.30 3.05	1.30 3.05	1.30 3.05	1.30 3.05
Stefan Cooper Lucca Liu Tue, Oct 27, 7:00 AM UTC	4.50 1.15	4.50 1.15	4.50 1.15	4.50 1.15
Frazier Rengifo Carlo Arena Fava Tue, Oct 27, 7:00 AM UTC	1.18 4.10	1.18 4.10	1.18 4.10	1.18 4.10
Alujas R/Salvestre D Arena Fava C/Schtulmann Gasca M Tue, Oct 27, 1:00 AM UTC	1.08 6.00	1.08 6.00	1.08 6.00	1.08 6.00
Kris van Wyk David Petrovic Tue, Oct 27, 8:30 AM UTC	1.07 6.40	1.07 6.40	1.07 6.40	1.07 6.40
Denis Constantin Spiridon Wojciech Marek Tue, Oct 27, 9:30 AM UTC	3.30 1.27	3.30 1.27	3.30 1.27	3.30 1.27
Simone Massellani Pietro Orlando Fellin Tue, Oct 27, 10:30 AM UTC	4.50 1.15	4.50 1.15	4.50 1.15	4.50 1.15
Raffaele Ciurnelli Lorenzo Bocchi Tue, Oct 27, 10:30 AM UTC	2.42 1.47	2.42 1.47	2.42 1.47	2.42 1.47
Erwin Troebinger Jacopo Bilardo Tue, Oct 27, 12:00 PM UTC	9.20 1.02	9.20 1.02	9.20 1.02	9.20 1.02
Giovanni Oradini Matteo Fondriest Tue, Oct 27, 2:00 PM UTC	1.04 7.60	1.04 7.60	1.04 7.60	1.04 7.60
Karim Ibrahim Ruslan Tiukaev Tue, Oct 27, 9:00 PM UTC	1.97 1.71	1.97 1.71	1.97 1.71	1.97 1.71
Arda Azkara Volodymyr Iakubenko Tue, Oct 27, 9:00 PM UTC	1.42 2.56	1.42 2.56	1.42 2.56	1.42 2.56
Anavatan M/Ozdemir S El Feky G/El Feky K Tue, Oct 27, 9:30 AM UTC	1.10 5.40	1.10 5.40	1.10 5.40	1.10 5.40
Aregger L/Waldner N Burdet A/Car H Tue, Oct 27, 9:30 AM UTC	3.05 1.30	3.05 1.30	3.05 1.30	3.05 1.30
Alexey Aleshchev Yuttana Charoenphon Tue, Oct 27, 3:00 AM UTC	2.14 1.59	2.14 1.59	2.14 1.59	2.14 1.59
Kristjan Tamm Jaden Dewandaka Tan Tue, Oct 27, 3:00 AM UTC	1.18 4.10	1.18 4.10	1.18 4.10	1.18 4.10
Ha Minh Duc Vu Thantub Suksumrarn Tue, Oct 27, 4:30 AM UTC	6.00 1.08	6.00 1.08	6.00 1.08	6.00 1.08
Adhithya Ganesan Ren Nakamura Tue, Oct 27, 4:00 PM UTC	1.15 4.50	1.15 4.50	1.15 4.50	1.15 4.50
Noah Karma Maxime Janvier Tue, Oct 27, 4:00 PM UTC	3.55 1.23	3.55 1.23	3.55 1.23	3.55 1.23
Lorenzo Lorusso Daisuke Sumizawa Tue, Oct 27, 4:00 PM UTC	1.65 2.06	1.65 2.06	1.65 2.06	1.65 2.06
Kosuke Ogura James van Herzeele Tue, Oct 27, 4:00 PM UTC	1.42 2.56	1.42 2.56	1.42 2.56	1.42 2.56
Pranav Karthik Ergi Kirkin Tue, Oct 27, 4:00 PM UTC	4.30 1.16	4.30 1.16	4.30 1.16	4.30 1.16
M Rifqi Fitriadi Arjun Mehrotra Tue, Oct 27, 4:00 PM UTC	1.18 4.10	1.18 4.10	1.18 4.10	1.18 4.10
Ali Habib Nitin Kumar Sinha Tue, Oct 27, 4:00 PM UTC	1.83 1.83	1.83 1.83	1.83 1.83	1.83 1.83
Stefan Storch Alexander Watanabe Eriksson Tue, Oct 27, 4:00 PM UTC	2.22 1.56	2.22 1.56	2.22 1.56	2.22 1.56
Lorusso L/Sinha N K Mehrotra A/Visaya A Tue, Oct 27, 6:00 AM UTC	1.23 3.55	1.23 3.55	1.23 3.55	1.23 3.55
Ogura K/Tamm K Aleshchev A/Zapp E D Tue, Oct 27, 7:00 AM UTC	1.12 4.90	1.12 4.90	1.12 4.90	1.12 4.90
Baumgartner S K/Karthik P Masabayashi T/Suksumrarn T Tue, Oct 27, 7:00 AM UTC	4.30 1.16	4.30 1.16	4.30 1.16	4.30 1.16
Kanta Watanabe Hugo Hashimoto Tue, Oct 27, 3:00 PM UTC	4.50 1.15	4.50 1.15	4.50 1.15	4.50 1.15
Hikaru Hieda Noritaka Koizumi Tue, Oct 27, 3:00 PM UTC	8.60 1.03	8.60 1.03	8.60 1.03	8.60 1.03
Yuto Oki Oscar Brown Tue, Oct 27, 3:00 PM UTC	1.97 1.71	1.97 1.71	1.97 1.71	1.97 1.71
Hikaru Shiraishi Sho Katayama Tue, Oct 27, 3:00 PM UTC	1.34 2.88	1.34 2.88	1.34 2.88	1.34 2.88
Jumpei Yamasaki James Connel Tue, Oct 27, 3:00 PM UTC	1.83 1.83	1.83 1.83	1.83 1.83	1.83 1.83
Hazawa S/Shiraishi H Komagata R/Koyama H Tue, Oct 27, 2:00 AM UTC	1.16 4.30	1.16 4.30	1.16 4.30	1.16 4.30
Koizumi N/Taka Y Oki Y/Tomida Y Tue, Oct 27, 3:30 AM UTC	2.22 1.56	2.22 1.56	2.22 1.56	2.22 1.56
Kawanishi H/Watanabe K Kawachi K/Yamanaka T Tue, Oct 27, 5:00 AM UTC	2.68 1.39	2.68 1.39	2.68 1.39	2.68 1.39
Noguchi M/Suzuki K Fukuda S/Okabe S Tue, Oct 27, 6:00 AM UTC	1.27 3.30	1.27 3.30	1.27 3.30	1.27 3.30
Aleix Galindo Puig Xavi Matas Ortega Tue, Oct 27, 9:00 AM UTC	1.78 1.89	1.78 1.89	1.78 1.89	1.78 1.89
James Mackinlay Tadija Radovanovic Tue, Oct 27, 9:00 AM UTC	1.47 2.42	1.47 2.42	1.47 2.42	1.47 2.42
Aleksandr Braynin Nikolai Barsukov Tue, Oct 27, 12:00 PM UTC	1.71 1.97	1.71 1.97	1.71 1.97	1.71 1.97
Jake Evans Viktor Durasovic Tue, Oct 27, 10:00 AM UTC	5.40 1.10	5.40 1.10	5.40 1.10	5.40 1.10
Finn Murgett Maximilian Marterer Tue, Oct 27, 10:00 AM UTC	2.88 1.34	2.88 1.34	2.88 1.34	2.88 1.34
Matt Ponchet Stijn Pel Tue, Oct 27, 10:00 AM UTC	1.18 4.10	1.18 4.10	1.18 4.10	1.18 4.10
Jelle Sels Billy Blaydes Tue, Oct 27, 10:00 AM UTC	1.71 1.97	1.71 1.97	1.71 1.97	1.71 1.97
James Beaven Rhys Lawlor Tue, Oct 27, 11:00 AM UTC	2.32 1.51	2.32 1.51	2.32 1.51	2.32 1.51
Roan Jones William Nolan Tue, Oct 27, 11:00 AM UTC	1.15 4.50	1.15 4.50	1.15 4.50	1.15 4.50
Marcus Walters Leonardo Rossi Tue, Oct 27, 11:00 AM UTC	2.56 1.42	2.56 1.42	2.56 1.42	2.56 1.42
Louis Wessels Liam Hignett Tue, Oct 27, 11:00 AM UTC	1.18 4.10	1.18 4.10	1.18 4.10	1.18 4.10
Mark Ceban Mika Petkovic Tue, Oct 27, 12:30 PM UTC	3.55 1.23	3.55 1.23	3.55 1.23	3.55 1.23
Dylan Leeman Vladislav Melnic Tue, Oct 27, 12:30 PM UTC	4.50 1.15	4.50 1.15	4.50 1.15	4.50 1.15
Henry Searle Mae Malige Tue, Oct 27, 12:30 PM UTC	1.12 4.90	1.12 4.90	1.12 4.90	1.12 4.90
Oliver Tarvet Conor Gannon Tue, Oct 27, 12:30 PM UTC	1.03 8.60	1.03 8.60	1.03 8.60	1.03 8.60
Alexis Canter Pierre Antoine Tailleu Tue, Oct 27, 1:30 PM UTC	1.83 1.83	1.83 1.83	1.83 1.83	1.83 1.83
Paul Jubb Oscar Weightman Tue, Oct 27, 1:30 PM UTC	1.12 4.90	1.12 4.90	1.12 4.90	1.12 4.90
Loann Massard Johannus Monday Tue, Oct 27, 1:30 PM UTC	3.55 1.23	3.55 1.23	3.55 1.23	3.55 1.23
Patrick Brady Martin Krumich Tue, Oct 27, 1:30 PM UTC	1.51 2.32	1.51 2.32	1.51 2.32	1.51 2.32
Darcy Nicholls Ryuichiro Nakano Tue, Oct 27, 12:00 AM UTC	1.34 2.88	1.34 2.88	1.34 2.88	1.34 2.88
Cody Atkinson Aleksander Franko Tue, Oct 27, 12:00 AM UTC	1.06 6.80	1.06 6.80	1.06 6.80	1.06 6.80
Archie Stewart Tue, Oct 27, 12:00 AM UTC	10.00	10.00	10.00	10.00
Jeremy Beale Jerome Estephan Tue, Oct 27, 12:00 AM UTC	1.03 8.60	1.03 8.60	1.03 8.60	1.03 8.60
Becroft I/Shepp A Baker N/Sik M E Tue, Oct 27, 1:30 AM UTC	1.10 5.40	1.10 5.40	1.10 5.40	1.10 5.40
Ryan Ziegann S/Vickery L Marinkov P/O'Connell B Tue, Oct 27, 1:30 AM UTC	2.22 1.56	2.22 1.56	2.22 1.56	2.22 1.56
Bouzige M/Ferguson C Dong C/Sach T L Tue, Oct 27, 1:30 AM UTC	1.97 1.71	1.97 1.71	1.97 1.71	1.97 1.71
Anderson O/Talic Z Satara H/Stevens Z Tue, Oct 27, 1:30 AM UTC	1.71 1.97	1.71 1.97	1.71 1.97	1.71 1.97
Beale J/Vujic S Aguiard E/Cook E Tue, Oct 27, 2:30 AM UTC	1.56 2.22	1.56 2.22	1.56 2.22	1.56 2.22
Beamish N/Shearer M Pann H/Patel S Tue, Oct 27, 2:30 AM UTC	1.07 6.40	1.07 6.40	1.07 6.40	1.07 6.40
Atkinson C/Ibraimi Y Hoole C/Pham D Tue, Oct 27, 2:30 AM UTC	2.88 1.34	2.88 1.34	2.88 1.34	2.88 1.34
Bulte A/Qariaqus D Hoeyeraal H/Padgham E Tue, Oct 27, 2:30 AM UTC	4.10 1.18	4.10 1.18	4.10 1.18	4.10 1.18
Leticia Solakov Marie Weckerle Tue, Oct 27, 10:00 AM UTC	2.88 1.34	2.88 1.34	2.88 1.34	2.88 1.34
Emma Sophie Glaser Helena Stevic Tue, Oct 27, 10:00 AM UTC	1.89 1.78	1.89 1.78	1.89 1.78	1.89 1.78
Emilia Brune Maja Schweika Tue, Oct 27, 10:00 AM UTC	1.15 4.50	1.15 4.50	1.15 4.50	1.15 4.50
Tamila Gadamauri Isabella Angelina Abendroth Tue, Oct 27, 11:00 AM UTC	1.83 1.83	1.83 1.83	1.83 1.83	1.83 1.83
Lara Wasserfuhr Milena Ciocan Tue, Oct 27, 11:00 AM UTC	2.88 1.34	2.88 1.34	2.88 1.34	2.88 1.34
Laura Boehner Noemi Maines Tue, Oct 27, 11:30 AM UTC	3.55 1.23	3.55 1.23	3.55 1.23	3.55 1.23
Annemarie Lazar Oriana Gniewkowska Tue, Oct 27, 1:00 PM UTC	2.56 1.42	2.56 1.42	2.56 1.42	2.56 1.42
Arina Kostina Salma Djoubri Tue, Oct 27, 1:00 PM UTC	5.40 1.10	5.40 1.10	5.40 1.10	5.40 1.10
Emily Victoria Eigelsbach Carolin Raschdorf Tue, Oct 27, 1:30 PM UTC	1.23 3.55	1.23 3.55	1.23 3.55	1.23 3.55
Victoria Pohle Elsa Bonelli Tue, Oct 27, 2:00 PM UTC	1.78 1.89	1.78 1.89	1.78 1.89	1.78 1.89
Lian Tran Selina Dal Tue, Oct 27, 2:00 PM UTC	2.22 1.56	2.22 1.56	2.22 1.56	2.22 1.56
Josy Daems Ellie Daniels Tue, Oct 27, 3:00 PM UTC	1.30 3.05	1.30 3.05	1.30 3.05	1.30 3.05
Anna Shkutova Isabella Barrera Aguirre Tue, Oct 27, 8:30 AM UTC	1.39 2.68	1.39 2.68	1.39 2.68	1.39 2.68
Sabine Rutlauka Nika Cakarun Tue, Oct 27, 8:30 AM UTC	1.05 7.20	1.05 7.20	1.05 7.20	1.05 7.20
Amarni Banks Victoire Lansaman Tue, Oct 27, 9:30 AM UTC	1.07 6.40	1.07 6.40	1.07 6.40	1.07 6.40
El Sayed A/Popovic K Elkady J/Martianova S Tue, Oct 27, 9:00 AM UTC	1.05 7.20	1.05 7.20	1.05 7.20	1.05 7.20
Pahwa S/Tzeng M-J Smirnova E/Ziatdinova A Tue, Oct 27, 10:30 AM UTC	1.05 7.20	1.05 7.20	1.05 7.20	1.05 7.20
Bosman P/Nozdrachova M Suslova S/Vasileva A Tue, Oct 27, 11:30 AM UTC	2.38 1.49	2.38 1.49	2.38 1.49	2.38 1.49
Aruzhan Sagandikova Fang An Lin Tue, Oct 27, 2:00 AM UTC	1.59 2.14	1.59 2.14	1.59 2.14	1.59 2.14
Kurea Hayasaka Jeong Moon Tue, Oct 27, 2:00 AM UTC	1.07 6.40	1.07 6.40	1.07 6.40	1.07 6.40
Jing-Jing Lu Kamonwan Yodpetch Tue, Oct 27, 2:00 AM UTC	2.14 1.59	2.14 1.59	2.14 1.59	2.14 1.59
Melany Solange Krywoj Nagi Hanatani Tue, Oct 27, 2:00 AM UTC	2.56 1.42	2.56 1.42	2.56 1.42	2.56 1.42
Yeri Hong Yujin Kim Tue, Oct 27, 3:00 AM UTC	2.56 1.42	2.56 1.42	2.56 1.42	2.56 1.42
Sonal Patil Alexandra Malova Tue, Oct 27, 3:00 AM UTC	5.60 1.09	5.60 1.09	5.60 1.09	5.60 1.09
Yingqun Sun Anri Nagata Tue, Oct 27, 3:00 AM UTC	1.18 4.10	1.18 4.10	1.18 4.10	1.18 4.10
Yuka Matsumoto Aditi Rawat Tue, Oct 27, 4:00 PM UTC	1.18 4.10	1.18 4.10	1.18 4.10	1.18 4.10
Yui Chikaraishi Sevil Yuldasheva Tue, Oct 27, 4:00 PM UTC	3.55 1.23	3.55 1.23	3.55 1.23	3.55 1.23
Lidia Podgorichani Kai Ning Chanya Ng Tue, Oct 27, 4:00 PM UTC	1.20 3.80	1.20 3.80	1.20 3.80	1.20 3.80
Moeka Miyata Arina Varaksina Tue, Oct 27, 4:00 PM UTC	2.56 1.42	2.56 1.42	2.56 1.42	2.56 1.42
Saily Prashantkumar Thakkar Hannah Giam Tue, Oct 27, 4:00 PM UTC	1.15 4.50	1.15 4.50	1.15 4.50	1.15 4.50
Himeno N/Thakkar S P Nie X/Zhou M Tue, Oct 27, 4:30 AM UTC	2.42 1.47	2.42 1.47	2.42 1.47	2.42 1.47
Khodzhaeva E/Podgorichani L Chanta A/Naklo T Tue, Oct 27, 4:30 AM UTC	6.00 1.08	6.00 1.08	6.00 1.08	6.00 1.08
Sagandykova A/Yodpetch K Chikaraishi Y/Hayasaka K Tue, Oct 27, 6:00 AM UTC	1.12 4.90	1.12 4.90	1.12 4.90	1.12 4.90
Patil S/Tamhankar B Apisah V/Ng K N C Tue, Oct 27, 6:00 AM UTC	2.56 1.42	2.56 1.42	2.56 1.42	2.56 1.42
Nagata A/Ohashi R Kim Y/Lin F A Tue, Oct 27, 7:00 AM UTC	2.22 1.56	2.22 1.56	2.22 1.56	2.22 1.56
Malova A/Varaksina A Matsumoto Y/Palanivel M Tue, Oct 27, 7:00 AM UTC	1.23 3.55	1.23 3.55	1.23 3.55	1.23 3.55
Klara Veldman Elena Grekul Tue, Oct 27, 11:30 AM UTC	1.09 5.60	1.09 5.60	1.09 5.60	1.09 5.60
Sarafina Olivia Hansen Astrid Wanja Brune Olsen Tue, Oct 27, 11:30 AM UTC	4.10 1.18	4.10 1.18	4.10 1.18	4.10 1.18
Emina Honic Coco Bosman Tue, Oct 27, 11:30 AM UTC	4.10 1.18	4.10 1.18	4.10 1.18	4.10 1.18
JiaYi Wang Marta Mariia Makarova Tue, Oct 27, 1:30 AM UTC	2.32 1.51	2.32 1.51	2.32 1.51	2.32 1.51
Meng Yi Chen Xinle Geng Tue, Oct 27, 1:30 AM UTC	2.06 1.65	2.06 1.65	2.06 1.65	2.06 1.65
Yuhan Wang Sohyun Park Tue, Oct 27, 3:30 AM UTC	1.89 1.78	1.89 1.78	1.89 1.78	1.89 1.78
Junhan Zhang Jiaqi Wang Tue, Oct 27, 4:00 PM UTC	1.78 1.89	1.78 1.89	1.78 1.89	1.78 1.89
Ekaterina Ovcharenko Wushuang Zheng Tue, Oct 27, 4:00 PM UTC	3.30 1.27	3.30 1.27	3.30 1.27	3.30 1.27
Zhuoxuan Bai Daria Zelinskaya Tue, Oct 27, 4:00 PM UTC	1.06 6.80	1.06 6.80	1.06 6.80	1.06 6.80
Chengyiyi Yuan Ksenia Efremova Tue, Oct 27, 4:00 PM UTC	2.42 1.47	2.42 1.47	2.42 1.47	2.42 1.47
Boyoung Jeong Yujia Huang Tue, Oct 27, 4:00 PM UTC	3.55 1.23	3.55 1.23	3.55 1.23	3.55 1.23
Yidi Yang Meiqi Guo Tue, Oct 27, 4:00 PM UTC	1.42 2.56	1.42 2.56	1.42 2.56	1.42 2.56
Xi Luo Priska Madelyn Nugroho Tue, Oct 27, 4:00 PM UTC	3.55 1.23	3.55 1.23	3.55 1.23	3.55 1.23
Rada Zolotareva Tiana Tian Deng Tue, Oct 27, 4:00 PM UTC	1.15 4.50	1.15 4.50	1.15 4.50	1.15 4.50
Sijia Wei Jiangxue Han Tue, Oct 27, 4:00 PM UTC	1.08 6.00	1.08 6.00	1.08 6.00	1.08 6.00
Yushan Shao Varvara Panshina Tue, Oct 27, 4:00 PM UTC	3.30 1.27	3.30 1.27	3.30 1.27	3.30 1.27
Zijun Jiang Daria Khomutsianskaya Tue, Oct 27, 4:00 PM UTC	8.80 1.02	8.80 1.02	8.80 1.02	8.80 1.02
Li Y-Y/Ovcharenko E Im H/Kim E Tue, Oct 27, 3:00 AM UTC	1.42 2.56	1.42 2.56	1.42 2.56	1.42 2.56
Panshina V/Zolotareva R Deng T T/Han J Tue, Oct 27, 3:00 AM UTC	1.18 4.10	1.18 4.10	1.18 4.10	1.18 4.10
Jeong B/Wang J Leykina P/Tikhonova A Tue, Oct 27, 3:00 AM UTC	1.30 3.05	1.30 3.05	1.30 3.05	1.30 3.05
Hou Y/Wang J Guo M/Yang Y Tue, Oct 27, 4:30 AM UTC	1.71 1.97	1.71 1.97	1.71 1.97	1.71 1.97
Hu F/Jeng J Luo X/Ren Y Tue, Oct 27, 4:30 AM UTC	3.80 1.20	3.80 1.20	3.80 1.20	3.80 1.20
Chen M-Y/Xu J Nugroho P M/Zheng W Tue, Oct 27, 4:30 AM UTC	4.50 1.15	4.50 1.15	4.50 1.15	4.50 1.15
Li Y/Wu R X An L/Li X Tue, Oct 27, 4:30 AM UTC	1.27 3.30	1.27 3.30	1.27 3.30	1.27 3.30
Lin Y J/Shao Y Huang Y/Zelinskaya D Tue, Oct 27, 5:30 AM UTC	2.68 1.39	2.68 1.39	2.68 1.39	2.68 1.39
Mara Guth Chelsea Fontenel Tue, Oct 27, 12:00 PM UTC	1.30 3.05	1.30 3.05	1.30 3.05	1.30 3.05
Nanari Katsumi Renee Alame Tue, Oct 27, 12:00 AM UTC	2.06 1.65	2.06 1.65	2.06 1.65	2.06 1.65
Natsuho Arakawa Lucia Gale Tue, Oct 27, 12:00 AM UTC	1.20 3.80	1.20 3.80	1.20 3.80	1.20 3.80
Eva Lopez Angela Cui Tue, Oct 27, 12:00 AM UTC	1.39 2.68	1.39 2.68	1.39 2.68	1.39 2.68
Elyse Tse Maahi Shah Tue, Oct 27, 12:00 AM UTC	1.02 9.20	1.02 9.20	1.02 9.20	1.02 9.20
Erika Sema Miho Kuramochi Tue, Oct 27, 1:30 AM UTC	3.80 1.20	3.80 1.20	3.80 1.20	3.80 1.20
Mutsumi Uemura Yuno Kitahara Tue, Oct 27, 1:30 AM UTC	1.59 2.14	1.59 2.14	1.59 2.14	1.59 2.14
Amy Stevens Laquisa Khan Tue, Oct 27, 1:00 PM UTC	1.39 2.66	1.39 2.66	1.39 2.66	1.39 2.66
Tahlia Kokkinis Ava Beck Tue, Oct 27, 1:00 PM UTC	1.07 6.40	1.07 6.40	1.07 6.40	1.07 6.40
I Wen Wan Ikumi Yamazaki Tue, Oct 27, 1:00 PM UTC	1.39 2.68	1.39 2.68	1.39 2.68	1.39 2.68
Funa Kozaki Georgia Campbell Tue, Oct 27, 1:00 PM UTC	1.83 1.83	1.83 1.83	1.83 1.83	1.83 1.83
Jizelle Sibai Alana Subasic Tue, Oct 27, 1:00 PM UTC	2.14 1.59	2.14 1.59	2.14 1.59	2.14 1.59
Vaidehee Chaudhari Chia Yi Tsao Tue, Oct 27, 1:00 PM UTC	1.39 2.68	1.39 2.68	1.39 2.68	1.39 2.68
Hikaru Sato Merel Hoedt Tue, Oct 27, 1:00 PM UTC	1.09 5.60	1.09 5.60	1.09 5.60	1.09 5.60
Wan I W/Yang Y-Y Khan L/McKenzie N Tue, Oct 27, 1:30 AM UTC	1.15 4.50	1.15 4.50	1.15 4.50	1.15 4.50
Carbis J/Swarbrick E Tue, Oct 27, 1:30 AM UTC	10.00	10.00	10.00	10.00
Beck A/Sibai J Liu Y/Uchijima M Tue, Oct 27, 3:00 AM UTC	1.71 1.97	1.71 1.97	1.71 1.97	1.71 1.97
Baker C/Bond-Scott K Hosoki Y/Nishimoto S Tue, Oct 27, 3:00 AM UTC	9.20 1.02	9.20 1.02	9.20 1.02	9.20 1.02
Stevens A/Thompson B Campbell G/Lopez E Tue, Oct 27, 3:00 AM UTC	1.12 4.90	1.12 4.90	1.12 4.90	1.12 4.90
Katsumi N/Kozaki F Adams J/Dodaj C Tue, Oct 27, 3:00 AM UTC	1.09 5.60	1.09 5.60	1.09 5.60	1.09 5.60
Eva Bennemann Valeriia Iushchenko Tue, Oct 27, 7:00 AM UTC	1.27 3.30	1.27 3.30	1.27 3.30	1.27 3.30
Ksenia Zaytseva Ksenia Smirnova Tue, Oct 27, 7:00 AM UTC	1.23 3.55	1.23 3.55	1.23 3.55	1.23 3.55
Raluca Georgiana Serban Ekaterina Tupitsyna Tue, Oct 27, 7:00 AM UTC	2.42 1.47	2.42 1.47	2.42 1.47	2.42 1.47
Daria Egorova Valeria Garnevska Tue, Oct 27, 8:00 AM UTC	1.02 9.20	1.02 9.20	1.02 9.20	1.02 9.20
Maria Golovina Radka Zelnickova Tue, Oct 27, 8:00 AM UTC	1.56 2.22	1.56 2.22	1.56 2.22	1.56 2.22
Victoria Milovanova Viktoria Hruncakova Tue, Oct 27, 8:00 AM UTC	2.88 1.34	2.88 1.34	2.88 1.34	2.88 1.34
Berfu Cengiz Lina Gjorcheska Tue, Oct 27, 9:30 AM UTC	1.39 2.68	1.39 2.68	1.39 2.68	1.39 2.68
Dunja Maric Britt Du Pree Tue, Oct 27, 9:30 AM UTC	4.90 1.12	4.90 1.12	4.90 1.12	4.90 1.12
Akkoyun A/Dotsenko E Lekomtseva U/Tupitsyna E Tue, Oct 27, 11:00 AM UTC	4.50 1.15	4.50 1.15	4.50 1.15	4.50 1.15
Ilhan D/Kaynak M N Bennemann E/Schunk N Tue, Oct 27, 11:00 AM UTC	9.20 1.02	9.20 1.02	9.20 1.02	9.20 1.02
Andre Lukosiute Laura Hietaranta Tue, Oct 27, 10:00 AM UTC	1.30 3.05	1.30 3.05	1.30 3.05	1.30 3.05
Mina Hodzic Tessa Johanna Brockmann Tue, Oct 27, 10:00 AM UTC	2.42 1.47	2.42 1.47	2.42 1.47	2.42 1.47
Rosie Cho Amelia Rajecki Tue, Oct 27, 11:00 AM UTC	10.00 1.02	10.00 1.02	10.00 1.02	10.00 1.02
Amelie Brooks Ivana Sebestova Tue, Oct 27, 11:00 AM UTC	3.80 1.20	3.80 1.20	3.80 1.20	3.80 1.20
Lois Newberry Mona Barthel Tue, Oct 27, 12:30 PM UTC	9.20 1.02	9.20 1.02	9.20 1.02	9.20 1.02

Tennis Glossary

Set Betting: Predicting the exact set score of a match — e.g., 2-0, 2-1 in a best-of-3. Higher odds than the moneyline but requires predicting the margin.
Game Handicap: A spread applied to the total games won by each player. If Player A is -4.5 games, they must win 5+ more games than their opponent across all sets.
Set Handicap: A spread applied to sets won. Player A at -1.5 sets must win in straight sets (2-0 in best-of-3, 3-0 or 3-1 doesn't cover in best-of-5).
Total Games: An over/under on the total number of games played in the match across all sets. Higher totals suggest a closely contested match.
Tiebreak Bet: A yes/no prop on whether any set in the match will go to a tiebreak. Surface type and player serve strength heavily influence this.
Moneyline: A straight-up wager on which side wins. No point spread involved — you simply pick the winner.
Vig (Juice): The bookmaker's commission built into every line. Standard vig is around -110 on each side, meaning you risk $110 to win $100.
Implied Probability: The likelihood of an outcome as suggested by the odds. For example, -200 implies a 66.7% chance. Comparing implied probability across bookmakers reveals where value exists.
Closing Line Value (CLV): The difference between the odds you locked in and the odds at the time the market closes. Consistently beating the closing line is the strongest predictor of long-term betting profit.
Line Movement: Changes in odds between when a market opens and when it closes. Driven by sharp money, public betting patterns, injuries, and other news.
Bankroll: The total amount of money you've set aside specifically for betting. Effective bankroll management — typically risking 1-3% per wager — is essential for surviving variance.
Unit: A standardized bet size, typically 1% of your bankroll. Tracking results in units rather than dollars normalizes performance regardless of stake size.
Hedge: Placing a bet on the opposite side of an existing wager to lock in a guaranteed profit or reduce exposure, often used with futures or parlays.
Parlay (Accumulator): A single bet combining two or more selections. All picks must win for the parlay to pay out. Higher potential return but significantly lower probability.
Futures: Long-term bets on outcomes determined at the end of a season or tournament, such as championship winners, MVP awards, or win totals.
Live Betting (In-Play): Placing wagers while a game is in progress. Odds update continuously based on score, time remaining, and game flow.
Overround: The total implied probability across all outcomes in a market. An overround above 100% represents the bookmaker's margin. Lower overround means better value for bettors.

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Set Betting: Predicting the exact set score of a match — e.g., 2-0, 2-1 in a best-of-3. Higher odds than the moneyline but requires predicting the margin.
Game Handicap: A spread applied to the total games won by each player. If Player A is -4.5 games, they must win 5+ more games than their opponent across all sets.
Set Handicap: A spread applied to sets won. Player A at -1.5 sets must win in straight sets (2-0 in best-of-3, 3-0 or 3-1 doesn't cover in best-of-5).
Total Games: An over/under on the total number of games played in the match across all sets. Higher totals suggest a closely contested match.
Tiebreak Bet: A yes/no prop on whether any set in the match will go to a tiebreak. Surface type and player serve strength heavily influence this.
Moneyline: A straight-up wager on which side wins. No point spread involved — you simply pick the winner.
Vig (Juice): The bookmaker's commission built into every line. Standard vig is around -110 on each side, meaning you risk $110 to win $100.
Implied Probability: The likelihood of an outcome as suggested by the odds. For example, -200 implies a 66.7% chance. Comparing implied probability across bookmakers reveals where value exists.
Closing Line Value (CLV): The difference between the odds you locked in and the odds at the time the market closes. Consistently beating the closing line is the strongest predictor of long-term betting profit.
Line Movement: Changes in odds between when a market opens and when it closes. Driven by sharp money, public betting patterns, injuries, and other news.
Bankroll: The total amount of money you've set aside specifically for betting. Effective bankroll management — typically risking 1-3% per wager — is essential for surviving variance.
Unit: A standardized bet size, typically 1% of your bankroll. Tracking results in units rather than dollars normalizes performance regardless of stake size.
Hedge: Placing a bet on the opposite side of an existing wager to lock in a guaranteed profit or reduce exposure, often used with futures or parlays.
Parlay (Accumulator): A single bet combining two or more selections. All picks must win for the parlay to pay out. Higher potential return but significantly lower probability.
Futures: Long-term bets on outcomes determined at the end of a season or tournament, such as championship winners, MVP awards, or win totals.
Live Betting (In-Play): Placing wagers while a game is in progress. Odds update continuously based on score, time remaining, and game flow.
Overround: The total implied probability across all outcomes in a market. An overround above 100% represents the bookmaker's margin. Lower overround means better value for bettors.

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Same 4-leg parlay · $2,223 difference

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M15 Offenbach, Germany, Doubles Odds (New Zealand)

October 2026

We compare M15 Offenbach, Germany, Doubles odds across 21 bookmakers in New Zealand

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Tennis Betting Glossary

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