M15 Sharm El Sheikh, Egypt, Doubles Odds (New Zealand)
M15 Sharm El Sheikh, Egypt, Doubles — Jan
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Event MonthCurrent Month
October 2026
78 matches · 2 days
Mon, Oct 2672 matches
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Tue, Oct 276 matches
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78 upcoming matches.
We compare M15 Sharm El Sheikh, Egypt, Doubles odds across 21 bookmakers in New Zealand
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| Game | Consensus |  Bet on Red |  Rainbet |  RollBit |
|---|---|---|---|---|
| Today | ||||
Mustapha El Natour Gabriele Maria Piano Mon, Oct 26, 8:00 AM UTC | 2.54 1.43 | |||
Leonardo Taddia Pietro Mugelli Mon, Oct 26, 8:00 AM UTC | 1.24 3.45 | |||
Gregor Hausberger Daniel Lechner Mon, Oct 26, 9:00 AM UTC | 1.30 3.10 | |||
Bruno Kokot Boris Sarritzu Mon, Oct 26, 10:00 AM UTC | 1.64 2.08 | |||
Dominik Matic Filippo Valdetara Mon, Oct 26, 10:00 AM UTC | 1.43 2.54 | |||
Alex Kobelt Kim Johannes Niethammer Mon, Oct 26, 11:00 AM UTC | 1.30 3.10 | |||
Flynn Thomas Andrea Colombo Mon, Oct 26, 12:00 PM UTC | 1.59 2.14 | |||
Leonardo Borrelli Andrea Motta Mon, Oct 26, 12:00 PM UTC | 1.83 1.83 | |||
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 | 3.30 1.27 | |||
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, 1:00 PM UTC | 1.33 2.94 | — — | — — | |
Arnaboldi F/Perin R Matic D/Thurner N Mon, Oct 26, 1:00 PM UTC | 1.13 4.80 | — — | — — | |
Prinoth P/Troebinger E Bocchi L/Ciurnelli R Mon, Oct 26, 2:00 PM UTC | 4.80 1.13 | — — | — — | |
Fondriest M/Penasa L Colombo A/Massellani S Mon, Oct 26, 3:00 PM UTC | 3.05 1.30 | — — | — — | |
Marcus Walters Sean Hodkin Mon, Oct 26, 10:00 AM UTC | 1.20 3.80 | |||
Vladislav Melnic Ivan Dorokhov Mon, Oct 26, 10:00 AM UTC | 1.18 4.10 | |||
Daniel Wright Alexis Canter Mon, Oct 26, 10:00 AM UTC | 7.60 1.04 | |||
Jake Evans Stijn Pel Mon, Oct 26, 11:00 AM UTC | 1.42 2.56 | |||
Pierre Antoine Tailleu Aaron Jinks Mon, Oct 26, 11:00 AM UTC | 1.05 7.20 | |||
Brian Bozemoj Liam Hignett Mon, Oct 26, 11:00 AM UTC | 1.47 2.42 | |||
Conor Brady William Nolan Mon, Oct 26, 12:30 PM UTC | 1.56 2.22 | |||
James Beaven Mateja Stanisavljevic Mon, Oct 26, 12:30 PM UTC | 1.42 2.56 | |||
Natalie Kha Diae El Jardi Mon, Oct 26, 3:00 PM UTC | 1.71 1.97 | |||
Divna Ratkovic Lexington Reed Mon, Oct 26, 4:00 PM UTC | 3.80 1.20 | |||
Ema Burgic Maria Kononova Mon, Oct 26, 4:00 PM UTC | 1.30 3.05 | |||
Josephine Kunz Alize Lim Mon, Oct 26, 4:00 PM UTC | 3.55 1.23 | |||
Dominika Podhajecka Anastasia Abbagnato Mon, Oct 26, 5:00 PM UTC | 2.56 1.42 | |||
Mayu Crossley Cara Korhonen Mon, Oct 26, 5:00 PM UTC | 1.05 7.20 | |||
Sujin Lee Allura Zamarripa Mon, Oct 26, 5:00 PM UTC | 9.60 1.01 | |||
Zaire Clarke Veronica Miroshnichenko Mon, Oct 26, 6:00 PM UTC | 5.40 1.10 | |||
Valeriia Krokhotina Yekaterina Dmitrichenko Mon, Oct 26, 6:00 PM UTC | 5.60 1.09 | |||
Sofia Elena Cabezas Dominguez Taylor Gruber Mon, Oct 26, 6:00 PM UTC | 1.03 8.60 | |||
Jolie Angelique Abendroth Isabella Angelina Abendroth Mon, Oct 26, 9:00 AM UTC | 6.60 1.06 | |||
Salma Djoubri Marlene Victoria Sczech Mon, Oct 26, 9:00 AM UTC | 1.06 6.60 | |||
Annika Barth Maja Schweika Mon, Oct 26, 10:00 AM UTC | 1.76 1.90 | |||
Ellie Daniels Anastasia Preda Mon, Oct 26, 10:00 AM UTC | 1.04 7.40 | |||
Emma Sophie Glaser Gloria Reusch Mon, Oct 26, 10:00 AM UTC | 2.54 1.43 | |||
Alina Nesmianovych Lara Wasserfuhr Mon, Oct 26, 11:00 AM UTC | 1.34 2.86 | |||
Jade Groen Arina Kostina Mon, Oct 26, 11:00 AM UTC | 1.25 3.40 | |||
Milena Ciocan Michelle Khomich Mon, Oct 26, 11:00 AM UTC | 2.16 1.58 | |||
Angelina Wirges Emma Slavikova Mon, Oct 26, 1:30 PM UTC | 1.71 1.97 | |||
Milena Steinkamp Francesca Parcelli Mon, Oct 26, 1:30 PM UTC | 2.14 1.59 | |||
Sophia Biolay Noelia Manta Mon, Oct 26, 1:30 PM UTC | 1.27 3.30 | |||
Leonie Schuknecht Tilwith Di Girolami Mon, Oct 26, 3:00 PM UTC | 7.20 1.05 | |||
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 | |||
Ivana Sebestova Vanja Gudelj Mon, Oct 26, 10:00 AM UTC | 1.05 7.20 | |||
Mayuka Aikawa Pui Yin Lung Mon, Oct 26, 10:00 AM UTC | 1.10 5.40 | |||
Daniela Vismane Eloise Newberry Mon, Oct 26, 10:00 AM UTC | 1.05 7.20 | |||
Georgina Garcia Perez Lois Newberry Mon, Oct 26, 11:00 AM UTC | 1.23 3.55 | |||
Amelie Brooks Kate Gardiner Mon, Oct 26, 11:00 AM UTC | 1.34 2.88 | |||
Romane Longueville Summer Yardley Mon, Oct 26, 11:00 AM UTC | 1.05 7.20 | |||
Mia Wainwright Sophie Bekker Mon, Oct 26, 1:00 PM UTC | 3.30 1.27 | |||
Margaux Maquet Diana Marcinkevica Mon, Oct 26, 10:00 AM UTC | 1.18 4.10 | |||
Clara Vlasselaer Vicky Van de Peer Mon, Oct 26, 10:00 AM UTC | 1.06 6.80 | |||
Gina Marie Dittmann Meritxell Teixido Garcia Mon, Oct 26, 11:00 AM UTC | 1.27 3.30 | |||
Sachia Vickery Georgina Hays Mon, Oct 26, 11:00 AM UTC | 1.09 5.60 | |||
Eleejah Inisan Marie Mattel Mon, Oct 26, 12:00 PM UTC | 2.56 1.42 | |||
Sarah Iliev Hanna Bougouffa Mon, Oct 26, 1:00 PM UTC | 1.09 5.60 | |||
Francoise Abanda Marine Szostak Mon, Oct 26, 2:00 PM UTC | 1.42 2.56 | |||
Anastasiia Firman Marine Partaud Mon, Oct 26, 4:00 PM UTC | 1.20 3.80 | |||
Clervie Ngounoue Annabelle Xu Mon, Oct 26, 2:00 PM UTC | 1.18 4.10 | |||
Teah Chavez Anastasia Malysheva Mon, Oct 26, 2:00 PM UTC | 1.04 7.60 | |||
Vivian Yang Anna Frey Mon, Oct 26, 2:00 PM UTC | 1.71 1.97 | |||
Kisa Yoshioka Nadia Lagaev Mon, Oct 26, 3:00 PM UTC | 1.89 1.78 | |||
Carson Tanguilig Anna Tabunshchyk Mon, Oct 26, 3:00 PM UTC | 1.12 4.90 | |||
Tara Gowda Noelle Dai Mon, Oct 26, 3:00 PM UTC | 1.09 5.60 | |||
Linea Bajraliu Isabella Marton Mon, Oct 26, 4:00 PM UTC | 1.10 5.40 | |||
Michaela Bayerlova Theadora Rabman Mon, Oct 26, 4:00 PM UTC | 1.97 1.71 | |||
| Tomorrow | ||||
Leticia Solakov Marie Weckerle Tue, Oct 27, 10:00 AM UTC | 2.56 1.42 | |||
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 | 2.32 1.51 | |||
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 | 2.56 1.42 | |||
- 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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Best PriceKalshi
Return: $6,359Pinnacle
Return: $4,729BetOnline
Return: $4,485BetUS
Return: $4,136Same 4-leg parlay · $2,223 difference