W15 Chisinau, Moldova Odds (New Zealand)
W15 Chisinau, Moldova — Jun
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Event MonthCurrent Month
October 2026
99 matches · 2 days
Mon, Oct 2631 matches
3 PM
4 PM
5 PM
6 PM
7 PM
8 PM
9 PM
10 PM
11 PM
12 AM
Tue, Oct 2768 matches
12 AM
1 AM
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3 AM
4 AM
5 AM
6 AM
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1 PM
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99 upcoming matches.
We compare W15 Chisinau, Moldova odds across 21 bookmakers in New Zealand
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| Game | Consensus |  Bet on Red |  Rainbet |  RollBit |
|---|---|---|---|---|
| Today | ||||
Cabrera A/Gamborino M Matta A/Peck J Mon, Oct 26, 7:00 PM UTC | 6.80 1.06 | |||
Candelas Ruiz R/Llanes Echavarria P Alvarez M/Liu L Mon, Oct 26, 11:00 PM UTC | 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 | |||
Giovanni Oradini Matteo Fondriest Mon, Oct 26, 11:00 PM UTC | 1.04 7.60 | |||
Denis Constantin Spiridon Wojciech Marek Mon, Oct 26, 11:00 PM UTC | 3.30 1.27 | |||
Simone Massellani Pietro Orlando Fellin Mon, Oct 26, 11:00 PM UTC | 4.50 1.15 | |||
Raffaele Ciurnelli Lorenzo Bocchi Mon, Oct 26, 11:00 PM UTC | 2.42 1.47 | |||
Erwin Troebinger Jacopo Bilardo Mon, Oct 26, 11:00 PM UTC | 9.20 1.02 | |||
Fellin M/Fellin P O Mugelli P/Sarritzu B Mon, Oct 26, 3:39 PM UTC | 1.20 3.80 | |||
Lechner D/Trombini M Borrelli L/Morolli A Mon, Oct 26, 6:39 PM UTC | 2.88 1.34 | |||
Zane Stevens Matthew Shearer Mon, Oct 26, 11:00 PM UTC | 1.10 5.40 | |||
Alex Bulte Nick Beamish Mon, Oct 26, 11:00 PM UTC | 1.47 2.42 | |||
Ymerali Ibraimi Heaton Pann Mon, Oct 26, 11:00 PM UTC | 1.20 3.80 | |||
Lachlan Vickery Samarth Patel Mon, Oct 26, 11:00 PM UTC | 1.06 6.80 | |||
Josephine Kunz Alize Lim Mon, Oct 26, 4:09 PM UTC | 3.80 1.20 | |||
Ema Burgic Maria Kononova Mon, Oct 26, 4:10 PM UTC | 1.23 3.55 | |||
Divna Ratkovic Lexington Reed Mon, Oct 26, 4:24 PM UTC | 4.90 1.12 | |||
Mayu Crossley Cara Korhonen Mon, Oct 26, 5:08 PM UTC | 1.05 7.20 | |||
Sujin Lee Allura Zamarripa Mon, Oct 26, 5:09 PM UTC | 9.20 1.02 | |||
Dominika Podhajecka Anastasia Abbagnato Mon, Oct 26, 5:10 PM UTC | 3.30 1.27 | |||
Anne Christine Lutkemeyer Obregon Chloe Henderson Mon, Oct 26, 6:09 PM UTC | 1.02 9.20 | |||
Sofia Elena Cabezas Dominguez Taylor Gruber Mon, Oct 26, 6:10 PM UTC | 1.04 7.60 | |||
Zaire Clarke Veronica Miroshnichenko Mon, Oct 26, 6:24 PM UTC | 4.50 1.15 | |||
Monique Barry Yuka Hosoki Mon, Oct 26, 11:00 PM UTC | 1.30 3.05 | |||
Yuhan Liu Naomi McKenzie Mon, Oct 26, 11:00 PM UTC | 1.20 3.80 | |||
Sera Nishimoto Maiko Uchijima Mon, Oct 26, 11:00 PM UTC | 1.65 2.06 | |||
Prisha Vyas Imperia Martinez Mora Mon, Oct 26, 5:00 PM UTC | 1.20 3.80 | |||
Ximena Senties Ana Carmen Zamburek Mon, Oct 26, 6:00 PM UTC | 7.60 1.04 | |||
Anastasiia Firman Marine Partaud Mon, Oct 26, 4:00 PM UTC | 1.20 3.80 | |||
Michaela Bayerlova Theadora Rabman Mon, Oct 26, 4:21 PM UTC | 2.06 1.65 | |||
Linea Bajraliu Isabella Marton Mon, Oct 26, 4:24 PM UTC | 1.10 5.40 | |||
| Tomorrow | ||||
Roman Kharlamov Sergey Petrov Tue, Oct 27, 8:00 AM UTC | 5.40 1.10 | |||
Cristian Felipe Sanchez Rojas Maxwell McKennon Tue, Oct 27, 12:00 AM UTC | 6.40 1.07 | |||
Alan Raul Sau Franco Jesse Flores Tue, Oct 27, 7:00 AM UTC | 5.40 1.10 | |||
Rafael Alfonso De Alba Valdes Joshua Peck Tue, Oct 27, 7:00 AM UTC | 2.56 1.42 | |||
Damien Salvestre Joaquin Guilleme Tue, Oct 27, 7:00 AM UTC | 2.06 1.65 | |||
Rodrigo Alujas Marco Alvarez Tue, Oct 27, 7:00 AM UTC | 1.30 3.05 | |||
Stefan Cooper Lucca Liu Tue, Oct 27, 7:00 AM UTC | 4.50 1.15 | |||
Frazier Rengifo Carlo Arena Fava Tue, Oct 27, 7:00 AM UTC | 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 | |||
Alexey Aleshchev Yuttana Charoenphon Tue, Oct 27, 3:00 AM UTC | 2.22 1.56 | |||
Ha Minh Duc Vu Thantub Suksumrarn Tue, Oct 27, 4:30 AM UTC | 4.10 1.18 | |||
Lorusso L/Sinha N K Mehrotra A/Visaya A Tue, Oct 27, 6:00 AM UTC | 1.23 3.55 | |||
Ogura K/Tamm K Aleshchev A/Zapp E D Tue, Oct 27, 7:00 AM UTC | 1.12 4.90 | |||
Darcy Nicholls Ryuichiro Nakano Tue, Oct 27, 12:00 AM UTC | 1.34 2.88 | |||
Cody Atkinson Aleksander Franko Tue, Oct 27, 12:00 AM UTC | 1.06 6.80 | |||
Archie Stewart Tue, Oct 27, 12:00 AM UTC | 10.00 | |||
Jeremy Beale Jerome Estephan Tue, Oct 27, 12:00 AM UTC | 1.03 8.60 | |||
Becroft I/Shepp A Baker N/Sik M E Tue, Oct 27, 1:30 AM UTC | 1.09 5.60 | |||
Ryan Ziegann S/Vickery L Marinkov P/O'Connell B Tue, Oct 27, 1:30 AM UTC | 2.22 1.56 | |||
Bouzige M/Ferguson C Dong C/Sach T L Tue, Oct 27, 1:30 AM UTC | 1.97 1.71 | |||
Anderson O/Talic Z Satara H/Stevens Z Tue, Oct 27, 1:30 AM UTC | 1.71 1.97 | |||
Beale J/Vujic S Aguiard E/Cook E Tue, Oct 27, 2:30 AM UTC | 1.56 2.22 | |||
Beamish N/Shearer M Pann H/Patel S Tue, Oct 27, 2:30 AM UTC | 1.07 6.40 | |||
Atkinson C/Ibraimi Y Hoole C/Pham D Tue, Oct 27, 2:30 AM UTC | 2.88 1.34 | |||
Bulte A/Qariaqus D Hoeyeraal H/Padgham E Tue, Oct 27, 2:30 AM UTC | 4.10 1.18 | |||
Leticia Solakov Marie Weckerle Tue, Oct 27, 10:00 AM UTC | 2.88 1.34 | |||
Laura Boehner Noemi Maines Tue, Oct 27, 11:30 AM UTC | 3.55 1.23 | |||
Annemarie Lazar Oriana Gniewkowska Tue, Oct 27, 1:00 PM UTC | 2.42 1.47 | |||
Emily Victoria Eigelsbach Carolin Raschdorf Tue, Oct 27, 1:30 PM UTC | 1.23 3.55 | |||
Victoria Pohle Elsa Bonelli Tue, Oct 27, 2:00 PM UTC | 1.71 1.97 | |||
Lian Tran Selina Dal Tue, Oct 27, 2:00 PM UTC | 2.22 1.56 | |||
Aruzhan Sagandikova Fang An Lin Tue, Oct 27, 2:00 AM UTC | 1.59 2.14 | |||
Kurea Hayasaka Jeong Moon Tue, Oct 27, 2:00 AM UTC | 1.07 6.40 | |||
Jing-Jing Lu Kamonwan Yodpetch Tue, Oct 27, 2:00 AM UTC | 2.14 1.59 | |||
Yeri Hong Yujin Kim Tue, Oct 27, 3:00 AM UTC | 2.42 1.47 | |||
Sonal Patil Alexandra Malova Tue, Oct 27, 3:00 AM UTC | 5.40 1.10 | |||
Yingqun Sun Anri Nagata Tue, Oct 27, 3:00 AM UTC | 1.15 4.50 | |||
JiaYi Wang Marta Mariia Makarova Tue, Oct 27, 1:30 AM UTC | 2.56 1.42 | |||
Meng Yi Chen Xinle Geng Tue, Oct 27, 1:30 AM UTC | 1.97 1.71 | |||
Yuhan Wang Sohyun Park Tue, Oct 27, 3:30 AM UTC | 1.71 1.97 | |||
Junhan Zhang Jiaqi Wang Tue, Oct 27, 4:00 PM UTC | 1.78 1.89 | |||
Ekaterina Ovcharenko Wushuang Zheng Tue, Oct 27, 4:00 PM UTC | 3.30 1.27 | |||
Zhuoxuan Bai Daria Zelinskaya Tue, Oct 27, 4:00 PM UTC | 1.02 8.80 | |||
Chengyiyi Yuan Ksenia Efremova Tue, Oct 27, 4:00 PM UTC | 2.42 1.47 | |||
Boyoung Jeong Yujia Huang Tue, Oct 27, 4:00 PM UTC | 3.80 1.20 | |||
Yidi Yang Meiqi Guo Tue, Oct 27, 4:00 PM UTC | 1.42 2.56 | |||
Li Y-Y/Ovcharenko E Im H/Kim E Tue, Oct 27, 3:00 AM UTC | 1.42 2.56 | |||
Panshina V/Zolotareva R Deng T T/Han J Tue, Oct 27, 3:00 AM UTC | 1.19 4.00 | |||
Hou Y/Wang J Guo M/Yang Y Tue, Oct 27, 4:30 AM UTC | 1.71 1.97 | |||
Hu F/Jeng J Luo X/Ren Y Tue, Oct 27, 4:30 AM UTC | 3.80 1.20 | |||
Chen M-Y/Xu J Nugroho P M/Zheng W Tue, Oct 27, 4:30 AM UTC | 4.40 1.16 | |||
Nanari Katsumi Renee Alame Tue, Oct 27, 12:00 AM UTC | 2.06 1.65 | |||
Natsuho Arakawa Lucia Gale Tue, Oct 27, 12:00 AM UTC | 1.18 4.10 | |||
Eva Lopez Angela Cui Tue, Oct 27, 12:00 AM UTC | 1.42 2.56 | |||
Elyse Tse Maahi Shah Tue, Oct 27, 12:00 AM UTC | 1.02 9.20 | |||
Erika Sema Miho Kuramochi Tue, Oct 27, 1:30 AM UTC | 3.80 1.20 | |||
Mutsumi Uemura Yuno Kitahara Tue, Oct 27, 1:30 AM UTC | 1.59 2.14 | |||
Amy Stevens Laquisa Khan Tue, Oct 27, 1:00 PM UTC | 1.39 2.66 | |||
Tahlia Kokkinis Ava Beck Tue, Oct 27, 1:00 PM UTC | 1.07 6.40 | |||
I Wen Wan Ikumi Yamazaki Tue, Oct 27, 1:00 PM UTC | 1.39 2.68 | |||
Funa Kozaki Georgia Campbell Tue, Oct 27, 1:00 PM UTC | 1.83 1.83 | |||
Jizelle Sibai Alana Subasic Tue, Oct 27, 1:00 PM UTC | 2.14 1.59 | |||
Vaidehee Chaudhari Chia Yi Tsao Tue, Oct 27, 1:00 PM UTC | 1.39 2.68 | |||
Hikaru Sato Merel Hoedt Tue, Oct 27, 1:00 PM UTC | 1.09 5.60 | |||
Beck A/Sibai J Liu Y/Uchijima M Tue, Oct 27, 3:00 AM UTC | 1.71 1.97 | |||
Baker C/Bond-Scott K Hosoki Y/Nishimoto S Tue, Oct 27, 3:00 AM UTC | 9.20 1.02 | |||
Stevens A/Thompson B Campbell G/Lopez E Tue, Oct 27, 3:00 AM UTC | 1.12 4.90 | |||
Katsumi N/Kozaki F Adams J/Dodaj C Tue, Oct 27, 3:00 AM UTC | 1.09 5.60 | |||
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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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Return: $4,136Same 4-leg parlay · $2,223 difference