W15 Cipolletti, Argentina, Doubles Odds (Australia)
W15 Cipolletti, Argentina, Doubles — OctThis Month
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Event MonthCurrent Month
October 2026
133 matches · 2 days
Thu, Oct 2957 matches
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Fri, Oct 3076 matches
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133 upcoming matches.
We compare W15 Cipolletti, Argentina, Doubles odds across 16 bookmakers in Australia
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| Game | Consensus |  Bet on Red |
|---|---|---|
| Today | ||
Pedro Henrique Chabalgoity Tomas Martinez Thu, Oct 29, 8:00 PM UTC | 1.97 1.71 | |
Noatto K/Tosetto R Braga B/Gutierrez O J Thu, Oct 29, 9:00 PM UTC | 2.06 1.65 | |
Frazier Rengifo Jesse Flores Thu, Oct 29, 11:00 PM UTC | 3.30 1.27 | |
Arevalo S/Delgado G Matta A/Peck J Thu, Oct 29, 11:00 PM UTC | 6.40 1.07 | |
Cooper S/Mckennon M Flores J/Quesada Perez T Thu, Oct 29, 11:00 PM UTC | 1.39 2.68 | |
Nathan Cox Paul Colin Thu, Oct 29, 6:23 PM UTC | 2.32 1.51 | |
Andrew Johnson William Jansen Thu, Oct 29, 6:53 PM UTC | 1.71 1.97 | |
Okonkwo O/Vance J Aunion P/Klimas J Thu, Oct 29, 7:30 PM UTC | 1.56 2.22 | |
Mikovic M/Palomar X Konduri T/Latak M Thu, Oct 29, 7:40 PM UTC | 1.83 1.83 | |
Cozbinov A/Lahjomri Y Anthrop J/Zamora N Thu, Oct 29, 9:30 PM UTC | 2.88 1.34 | |
Djosic N/Shimanov O Jansen W/Petrovic A Thu, Oct 29, 9:30 PM UTC | 2.68 1.39 | |
Maric M/Radovanovic T Delicata L/Stamatopoulos I Thu, Oct 29, 11:00 PM UTC | 1.41 2.60 | |
Alastair Gray Theo Papamalamis Thu, Oct 29, 6:51 PM UTC | 1.51 2.32 | |
Charlton J/Hudd E Boland B/Weintraub B Thu, Oct 29, 7:41 PM UTC | 1.02 9.20 | |
Dahlberg M/Velcz Z Hussey G/McHugh A Thu, Oct 29, 7:51 PM UTC | 2.68 1.39 | |
Markov V/Mesarovic M Harazaki A/Papa S Thu, Oct 29, 8:32 PM UTC | 1.83 1.83 | |
Frusina A/Papamalamis T Montsi K/Nhavene B Thu, Oct 29, 9:51 PM UTC | 1.89 1.78 | |
Jeremy Beale Sam Ryan Ziegann Thu, Oct 29, 11:00 PM UTC | 1.39 2.68 | |
Matthew Dellavedova Isaac Becroft Thu, Oct 29, 11:00 PM UTC | 1.27 3.30 | |
Anton Shepp Blake Ellis Thu, Oct 29, 11:00 PM UTC | 1.89 1.78 | |
Tai Leonard Sach Philip Sekulic Thu, Oct 29, 11:00 PM UTC | 3.30 1.27 | |
Kylie Collins Connie Ma Thu, Oct 29, 7:00 PM UTC | 3.05 1.30 | |
Arantxa Rus Kristina Liutova Thu, Oct 29, 7:00 PM UTC | 4.50 1.15 | |
Julieta Pareja Barbora Palicova Thu, Oct 29, 7:00 PM UTC | 1.30 3.05 | |
Allura Zamarripa Akasha Urhobo Thu, Oct 29, 7:00 PM UTC | 3.55 1.23 | |
Madison Brengle Yuki Naito Thu, Oct 29, 8:00 PM UTC | 1.34 2.88 | |
Caroline Dolehide Ella McDonald Thu, Oct 29, 8:00 PM UTC | 1.59 2.14 | |
Sloane Stephens Astra Sharma Thu, Oct 29, 8:00 PM UTC | 1.39 2.68 | |
Renata Zarazua Xinyu Gao Thu, Oct 29, 10:30 PM UTC | 1.47 2.42 | |
Osuigwe W/Smith A Lutkemeyer Obregon A C/Miroshnichenko V Thu, Oct 29, 8:00 PM UTC | 1.42 2.56 | |
El Jardi D/Frodin T Lincer O/Urhobo A Thu, Oct 29, 9:00 PM UTC | 1.71 1.97 | |
Nijkamp R M/Rus A Collins K/Penickova K Thu, Oct 29, 9:00 PM UTC | 2.32 1.51 | |
Broadus S/Zamarripa A Maltby S/Zampardo M Thu, Oct 29, 10:30 PM UTC | 1.15 4.50 | |
Boyden M/Moyano L Morini L/Portoman A Thu, Oct 29, 7:45 PM UTC | 1.02 9.20 | |
Kawano Cho G/Tarantola A Markus C/Sanchez Uribe M J Thu, Oct 29, 8:45 PM UTC | 3.55 1.23 | |
Paganetti V/Urgesi F Easwaramurthi A/Magro M Thu, Oct 29, 11:00 PM UTC | 1.02 9.20 | |
Gloriana Goreti Nahum Briana Szabo Thu, Oct 29, 6:51 PM UTC | 1.27 3.30 | |
Epps Z/Szabo B Berlanga Bandera M/Okalova M Thu, Oct 29, 6:49 PM UTC | 1.56 2.22 | |
Adams J/Fouad N Lahey A/Vagramov A Thu, Oct 29, 7:00 PM UTC | 2.88 1.34 | |
Laskevich E/Mamedova E Svetac S/Taylor L Thu, Oct 29, 7:30 PM UTC | 1.39 2.68 | |
Vaidehee Chaudhari Funa Kozaki Thu, Oct 29, 11:00 PM UTC | 1.18 4.10 | |
Hikaru Sato Erika Sema Thu, Oct 29, 11:00 PM UTC | 1.18 4.10 | |
Alana Subasic Belle Thompson Thu, Oct 29, 11:00 PM UTC | 1.47 2.42 | |
Katie Swan I Wen Wan Thu, Oct 29, 11:00 PM UTC | 1.07 6.40 | |
Jo-Yee Chan Ipek Oz Thu, Oct 29, 8:00 PM UTC | 3.80 1.20 | |
Ana Carmen Zamburek Anastasia Tikhonova Thu, Oct 29, 8:00 PM UTC | 7.20 1.05 | |
Malaika Rapolu Julia Garcia Thu, Oct 29, 9:00 PM UTC | 1.18 4.10 | |
Justina Mikulskyte Cadence Brace Thu, Oct 29, 10:00 PM UTC | 2.56 1.42 | |
Avataneo S/Harvey A Giordano M/Hrda L Thu, Oct 29, 9:00 PM UTC | 2.56 1.42 | |
Chan J-Y/Gibbs K Bohrer Martins C/Tona M Thu, Oct 29, 11:00 PM UTC | 2.42 1.47 | |
Rapolu M/Sholokhova M Malkin M/Millan Acosta I C Thu, Oct 29, 11:00 PM UTC | 1.06 6.80 | |
Oceane Dodin Nahia Berecoechea Thu, Oct 29, 6:50 PM UTC | 1.23 3.55 | |
Leonard M/Monnot A Jorge F/Jorge M Thu, Oct 29, 11:00 PM UTC | 6.80 1.06 | |
Anastasia Kulikova Kajsa Rinaldo Persson Thu, Oct 29, 6:39 PM UTC | 2.42 1.47 | |
Cross K/Rogers A Akli A/Sieg M Thu, Oct 29, 7:45 PM UTC | 1.65 2.06 | |
Dartron E/Rouvroy M Bayerlova M/Gimbrere J Thu, Oct 29, 7:47 PM UTC | 2.32 1.51 | |
Brantmeier R/Tanguilig C Arseneault A/Lacasse R Thu, Oct 29, 8:45 PM UTC | 1.42 2.56 | |
| Tomorrow | ||
Edoardo Cherie Ligniere Amir Omarkhanov Fri, Oct 30, 6:00 AM UTC | 3.80 1.20 | |
Digvijay Pratap Singh Dmitry Bessonov Fri, Oct 30, 6:00 AM UTC | 1.23 3.55 | |
Grigory Shebekin David Eichenseher Fri, Oct 30, 6:00 AM UTC | 1.83 1.83 | |
Burtsev D/Filaretov K Duhan C/Murtaza M Fri, Oct 30, 7:00 AM UTC | 2.56 1.42 | |
Abdullaev A/Kvasov D Hrazdil J/Lakshmanan A Fri, Oct 30, 7:00 AM UTC | 3.80 1.20 | |
Miles Jones Michel Hopp Fri, Oct 30, 8:00 AM UTC | 1.42 2.56 | |
Pablo Perez Ramos Thando Longwe-Smit Fri, Oct 30, 8:00 AM UTC | 1.39 2.68 | |
Jan Sadzik Alexander Chang Fri, Oct 30, 8:00 AM UTC | 4.50 1.15 | |
Nikita Mashtakov Benjamin Pietri Fri, Oct 30, 9:00 AM UTC | 1.78 1.89 | |
Jones A/Jones M Constantin A/Ghetu G Fri, Oct 30, 11:00 AM UTC | 1.42 2.56 | |
Sven Corbinais Nicolas Tepmahc Fri, Oct 30, 8:30 AM UTC | 2.68 1.39 | |
Tuncay Duran Benito Sanchez Martinez Fri, Oct 30, 8:30 AM UTC | 2.32 1.51 | |
Aziz Ouakaa Nicolas Jadoun Fri, Oct 30, 8:30 AM UTC | 1.56 2.22 | |
Kris van Wyk Lilian Marmousez Fri, Oct 30, 9:30 AM UTC | 4.50 1.15 | |
Gijs Brouwer Benoit Torcq Fri, Oct 30, 8:00 AM UTC | 1.30 3.05 | |
Volodymyr Iakubenko Constantin Bittoun Kouzmine Fri, Oct 30, 8:00 AM UTC | 2.22 1.56 | |
Jannik Maute Amr Elsayed Fri, Oct 30, 8:00 AM UTC | 2.68 1.39 | |
M Rifqi Fitriadi Yuttana Charoenphon Fri, Oct 30, 3:00 AM UTC | 1.10 5.40 | |
Seonyong Han Maxime Janvier Fri, Oct 30, 3:00 AM UTC | 3.55 1.23 | |
Adhithya Ganesan Pranav Karthik Fri, Oct 30, 4:30 AM UTC | 1.27 3.30 | |
Blando J/Blando M Ogura K/Tamm K Fri, Oct 30, 6:00 AM UTC | 2.88 1.34 | |
Fitriadi M R/Han S Y Masabayashi T/Suksumrarn T Fri, Oct 30, 6:00 AM UTC | 1.97 1.71 | |
Takuya Kumasaka Taiyo Yamanaka Fri, Oct 30, 2:00 AM UTC | 1.30 3.05 | |
Markus Malaszszak Shinji Hazawa Fri, Oct 30, 2:00 AM UTC | 2.06 1.65 | |
Hikaru Shiraishi Jumpei Yamasaki Fri, Oct 30, 2:00 AM UTC | 1.47 2.42 | |
Yuta Tomida Yuto Oki Fri, Oct 30, 2:00 AM UTC | 2.06 1.65 | |
Koizumi N/Taka Y Takahata R/Tange S Fri, Oct 30, 3:00 AM UTC | 2.14 1.59 | |
Kawachi K/Yamanaka T Fukuda S/Okabe S Fri, Oct 30, 4:00 AM UTC | 1.39 2.68 | |
Aleksandr Braynin Georgii Kravchenko Fri, Oct 30, 10:00 AM UTC | 5.60 1.09 | |
Robert Strombachs Daniel Masur Fri, Oct 30, 11:30 AM UTC | 2.14 1.59 | |
Becroft I/Shepp A Marinkov P/O'Connell B Fri, Oct 30, 1:00 AM UTC | 1.18 4.10 | |
Dong C/Sach T L Hoeyeraal H/Padgham E Fri, Oct 30, 1:00 AM UTC | 2.32 1.51 | |
Josy Daems Emma Sophie Glaser Fri, Oct 30, 10:30 AM UTC | 1.20 3.80 | |
Leticia Solakov Lian Tran Fri, Oct 30, 11:30 AM UTC | 3.30 1.27 | |
Mailuodi Lei Mariia Lazarenko Fri, Oct 30, 8:30 AM UTC | 3.55 1.23 | |
Cindy Langlais Kayo Nishimura Fri, Oct 30, 8:30 AM UTC | 4.10 1.18 | |
Anna Shkutova Chenting Zhu Fri, Oct 30, 8:30 AM UTC | 4.10 1.18 | |
Marie Vogt Sofia Camila Rojas Fri, Oct 30, 9:30 AM UTC | 1.65 2.06 | |
Paola Lopez Emily Zornada Fri, Oct 30, 3:00 AM UTC | 1.97 1.71 | |
Sol Ailin Larraya Guidi Maria Jose Sanchez Uribe Fri, Oct 30, 3:00 AM UTC | 1.39 2.68 | |
Selina Atay Aya El Sayed Fri, Oct 30, 8:00 AM UTC | 2.56 1.42 | |
Kamilla Bartone Kristina Dmitruk Fri, Oct 30, 8:00 AM UTC | 3.80 1.20 | |
Polina Kuharenko Zuzanna Bednarz Fri, Oct 30, 8:00 AM UTC | 1.97 1.71 | |
Rikke de Koning Kaat Coppez Fri, Oct 30, 8:00 AM UTC | 1.89 1.78 | |
Violet Apisah Nagi Hanatani Fri, Oct 30, 2:00 AM UTC | 1.12 4.90 | |
Anchisa Chanta Yeri Hong Fri, Oct 30, 2:00 AM UTC | 1.42 2.56 | |
Alexandra Malova Kamonwan Yodpetch Fri, Oct 30, 2:00 AM UTC | 1.97 1.71 | |
Yingqun Sun Thasaporn Naklo Fri, Oct 30, 2:00 AM UTC | 2.68 1.39 | |
Nie X/Zhou M Hanatani N/Lu J-J Fri, Oct 30, 4:30 AM UTC | 7.60 1.04 | |
Kim Y/Lin F A Chanta A/Naklo T Fri, Oct 30, 4:30 AM UTC | 2.22 1.56 | |
Karla Bartel Scarlett Fagan Fri, Oct 30, 4:00 AM UTC | 2.68 1.39 | |
Klara Veldman Astrid Wanja Brune Olsen Fri, Oct 30, 9:00 AM UTC | 1.47 2.42 | |
Ella Haavisto Coco Bosman Fri, Oct 30, 9:00 AM UTC | 1.71 1.97 | |
Iveta Dapkute Iva Marinkovic Fri, Oct 30, 10:00 AM UTC | 1.97 1.71 | |
JiaYi Wang Wushuang Zheng Fri, Oct 30, 2:00 AM UTC | 2.42 1.47 | |
Sijia Wei Priska Madelyn Nugroho Fri, Oct 30, 2:00 AM UTC | 1.47 2.42 | |
Chengyiyi Yuan Yushan Shao Fri, Oct 30, 2:00 AM UTC | 1.83 1.83 | |
Yu Jun Lin Meng Yi Chen Fri, Oct 30, 3:00 AM UTC | 1.20 3.80 | |
Valentini Grammatikopoulou Vittoria Paganetti Fri, Oct 30, 10:00 AM UTC | 1.78 1.89 | |
Pia Lovric Anja Stankovic Fri, Oct 30, 11:00 AM UTC | 1.39 2.68 | |
Federica Urgesi Angelica Raggi Fri, Oct 30, 11:30 AM UTC | 1.05 7.20 | |
Chelsea Fontenel Weronika Ewald Fri, Oct 30, 1:00 PM UTC | 3.80 1.20 | |
Back D/Yamazaki I Stevens A/Thompson B Fri, Oct 30, 1:00 AM UTC | 1.54 2.26 | |
Daria Egorova Maria Golovina Fri, Oct 30, 8:00 AM UTC | 1.42 2.56 | |
Raluca Georgiana Serban Nastasja Schunk Fri, Oct 30, 8:00 AM UTC | 2.88 1.34 | |
Katarina Kuzmova Viktoria Hruncakova Fri, Oct 30, 9:00 AM UTC | 2.42 1.47 | |
Anna Kubareva Lidia Encheva Fri, Oct 30, 9:00 AM UTC | 2.06 1.65 | |
Golovina M/Milovanova V Sedysheva A/Smirnova K Fri, Oct 30, 11:00 AM UTC | 1.56 2.22 | |
Oz I/Tikhonova A Garcia Ruiz J/Zamburek A C Fri, Oct 30, 1:00 AM UTC | 1.15 4.50 | |
Suzan Lamens Ella Seidel Fri, Oct 30, 10:00 AM UTC | 1.56 2.22 | |
Alicia Dudeney Mona Barthel Fri, Oct 30, 10:00 AM UTC | 1.71 1.97 | |
Hannah Klugman Tessa Johanna Brockmann Fri, Oct 30, 11:00 AM UTC | 1.18 4.10 | |
Eliz Maloney Fiona Crawley Fri, Oct 30, 11:00 AM UTC | 4.50 1.15 | |
Gardiner K/Romanova L Malygina E/Rajecki A Fri, Oct 30, 12:00 AM UTC | 9.20 1.02 | |
Francesca Curmi Margaux Maquet Fri, Oct 30, 11:00 AM UTC | 1.18 4.10 | |
Veronika Podrez Jenny Lim Fri, Oct 30, 2:00 PM UTC | 1.27 3.30 | |
- 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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Return: $4,136Same 4-leg parlay · $2,223 difference