M25 Redbridge, Great Britain, Doubles Odds (New Zealand)

M25 Redbridge, Great Britain, Doubles — OctThis Month
Event MonthCurrent Month

October 2026

121 matches · 2 days

Mon, Oct 2667 matches
12 PM
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9 PM
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11 PM
12 AM
Tue, Oct 2754 matches
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8 AM
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121 upcoming matches.

We compare M25 Redbridge, Great Britain, Doubles odds across 21 bookmakers in New Zealand

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GameConsensus
Bet on Red
Rainbet
RollBit
Today
Enzo Camargo Lima
Mateo Barreiros Reyes
Mon, Oct 26, 1:30 PM UTC
2.80
1.36
Valentin Garay
Vicente Jose Benitez
Mon, Oct 26, 1:30 PM UTC
1.42
2.56
Rocco Valente
Enzo Crevelaro
Mon, Oct 26, 1:30 PM UTC
1.16
4.30
Breno Braga
Rafael Augusto Garcia Finetto
Mon, Oct 26, 3:00 PM UTC
2.06
1.65
Bautista De La Pena
Vitor Machado De Melo Cunha
Mon, Oct 26, 3:00 PM UTC
1.41
2.60
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
Leonardo Borrelli
Andrea Motta
Mon, Oct 26, 1:40 PM UTC
1.78
1.89
Flynn Thomas
Andrea Colombo
Mon, Oct 26, 2:35 PM UTC
1.42
2.56
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
2.88
1.34
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, 2:40 PM UTC
1.20
3.80
Arnaboldi F/Perin R
Matic D/Thurner N
Mon, Oct 26, 3:35 PM UTC
1.12
4.90
Prinoth P/Troebinger E
Bocchi L/Ciurnelli R
Mon, Oct 26, 3:40 PM UTC
4.90
1.12
Lechner D/Trombini M
Borrelli L/Morolli A
Mon, Oct 26, 5:40 PM UTC
2.88
1.34
Conor Brady
William Nolan
Mon, Oct 26, 1:00 PM UTC
1.47
2.42
James Beaven
Mateja Stanisavljevic
Mon, Oct 26, 1:14 PM UTC
1.42
2.56
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
1.42
2.56
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
Natalie Kha
Diae El Jardi
Mon, Oct 26, 3:00 PM UTC
1.47
2.42
Alana Smith
Alexia Lavinia Puiac
Mon, Oct 26, 3:00 PM UTC
1.05
7.20
Divna Ratkovic
Lexington Reed
Mon, Oct 26, 4:00 PM UTC
4.50
1.15
Ema Burgic
Maria Kononova
Mon, Oct 26, 4:00 PM UTC
1.27
3.30
Josephine Kunz
Alize Lim
Mon, Oct 26, 4:00 PM UTC
3.80
1.20
Dominika Podhajecka
Anastasia Abbagnato
Mon, Oct 26, 5:00 PM UTC
3.30
1.27
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
9.20
1.02
Zaire Clarke
Veronica Miroshnichenko
Mon, Oct 26, 6:00 PM UTC
4.50
1.15
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
1.04
7.60
Anne Christine Lutkemeyer Obregon
Chloe Henderson
Mon, Oct 26, 6:00 PM UTC
1.02
9.20
Angelina Wirges
Emma Slavikova
Mon, Oct 26, 1:30 PM UTC
1.59
2.14
Milena Steinkamp
Francesca Parcelli
Mon, Oct 26, 1:35 PM UTC
2.06
1.65
Sophia Biolay
Noelia Manta
Mon, Oct 26, 1:39 PM UTC
1.42
2.56
Leonie Schuknecht
Tilwith Di Girolami
Mon, Oct 26, 3:00 PM UTC
7.20
1.05
Luciana Agudelo
Felicitas Simon Padros
Mon, Oct 26, 2:00 PM UTC
1.11
5.20
Aiken Tejada
Ornela Luisana Mondati
Mon, Oct 26, 2:00 PM UTC
1.49
2.38
Jazmin Baier
Sofia Finchelstein
Mon, Oct 26, 3:00 PM UTC
8.00
1.03
Sofia Carez
Camila Eluney Kilapi
Mon, Oct 26, 3:00 PM UTC
1.47
2.42
Agustina Tarantola
Sofia Nahiara Nappi
Mon, Oct 26, 3:00 PM UTC
1.18
4.10
Zoe Doldan
Maiten Garay
Mon, Oct 26, 4:30 PM UTC
1.04
7.40
Ana Julieta Lopez Ocampos
Angela Portoman
Mon, Oct 26, 4:30 PM UTC
1.34
2.86
Sofia Simon Padros
Lucia Grinberg
Mon, Oct 26, 4:30 PM UTC
1.43
2.54
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
Mia Wainwright
Sophie Bekker
Mon, Oct 26, 1:00 PM UTC
3.30
1.27
Eleejah Inisan
Marie Mattel
Mon, Oct 26, 12:34 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
1.39
2.68
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
1.05
7.20
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
1.10
5.40
Tara Gowda
Noelle Dai
Mon, Oct 26, 3:00 PM UTC
1.08
6.00
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
2.06
1.65
Tomorrow
Cristian Felipe Sanchez Rojas
Maxwell McKennon
Tue, Oct 27, 12:00 AM UTC
6.80
1.06
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
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
1.02
9.20
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
1.06
6.80
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
2.14
1.59
JiaYi Wang
Marta Mariia Makarova
Tue, Oct 27, 1:30 AM UTC
3.55
1.23
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
1.39
2.68
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
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
1.20
3.80
Eva Lopez
Angela Cui
Tue, Oct 27, 12:00 AM UTC
1.56
2.22
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
9.80
1.01
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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Best Pricing in Your Region

Best PriceKalshi
Return: $6,359
+6259
Pinnacle
Return: $4,729
+4629
BetOnline
Return: $4,485
+4384
BetUS
Return: $4,136
+4036
Same 4-leg parlay · $2,223 difference