W35 Seville, Spain Odds (Ireland)

W35 Seville, Spain — Apr
Event MonthCurrent Month

October 2026

122 matches · 2 days

Mon, Oct 2627 matches
4 PM
5 PM
6 PM
7 PM
8 PM
9 PM
10 PM
11 PM
12 AM
Tue, Oct 2795 matches
12 AM
1 AM
2 AM
3 AM
4 AM
5 AM
6 AM
7 AM
8 AM
9 AM
10 AM
11 AM
12 PM
1 PM
2 PM
3 PM
4 PM
5 PM
6 PM
7 PM
8 PM

122 upcoming matches.

We compare W35 Seville, Spain odds across 27 bookmakers in Ireland

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GameConsensus
Rainbet
Bet on Red
RollBit
Today
Cabrera A/Gamborino M
Matta A/Peck J
Mon, Oct 26, 7:00 PM UTC
29/5
3/50
Candelas Ruiz R/Llanes Echavarria P
Alvarez M/Liu L
Mon, Oct 26, 11:00 PM UTC
27/5
7/100
Flores J/Quesada Perez T
Lage L/Martinez Miranda J
Mon, Oct 26, 11:00 PM UTC
17/50
15/8
Giovanni Oradini
Matteo Fondriest
Mon, Oct 26, 11:00 PM UTC
1/25
33/5
Denis Constantin Spiridon
Wojciech Marek
Mon, Oct 26, 11:00 PM UTC
23/10
27/100
Simone Massellani
Pietro Orlando Fellin
Mon, Oct 26, 11:00 PM UTC
7/2
3/20
Raffaele Ciurnelli
Lorenzo Bocchi
Mon, Oct 26, 11:00 PM UTC
71/50
47/100
Erwin Troebinger
Jacopo Bilardo
Mon, Oct 26, 11:00 PM UTC
41/5
1/50
Lechner D/Trombini M
Borrelli L/Morolli A
Mon, Oct 26, 6:58 PM UTC
15/8
17/50
Zane Stevens
Matthew Shearer
Mon, Oct 26, 11:00 PM UTC
1/10
22/5
Alex Bulte
Nick Beamish
Mon, Oct 26, 11:00 PM UTC
21/50
39/25
Ymerali Ibraimi
Heaton Pann
Mon, Oct 26, 11:00 PM UTC
1/5
14/5
Lachlan Vickery
Samarth Patel
Mon, Oct 26, 11:00 PM UTC
3/50
29/5
Mayu Crossley
Cara Korhonen
Mon, Oct 26, 5:16 PM UTC
1/20
31/5
Sujin Lee
Allura Zamarripa
Mon, Oct 26, 5:26 PM UTC
41/5
1/50
Dominika Podhajecka
Anastasia Abbagnato
Mon, Oct 26, 5:27 PM UTC
23/10
27/100
Zaire Clarke
Veronica Miroshnichenko
Mon, Oct 26, 6:09 PM UTC
7/2
3/20
Anne Christine Lutkemeyer Obregon
Chloe Henderson
Mon, Oct 26, 6:26 PM UTC
1/50
41/5
Sofia Elena Cabezas Dominguez
Taylor Gruber
Mon, Oct 26, 6:27 PM UTC
1/25
33/5
Monique Barry
Yuka Hosoki
Mon, Oct 26, 11:00 PM UTC
3/10
41/20
Yuhan Liu
Naomi McKenzie
Mon, Oct 26, 11:00 PM UTC
1/5
14/5
Sera Nishimoto
Maiko Uchijima
Mon, Oct 26, 11:00 PM UTC
13/20
53/50
Prisha Vyas
Imperia Martinez Mora
Mon, Oct 26, 5:00 PM UTC
1/5
14/5
Ximena Senties
Ana Carmen Zamburek
Mon, Oct 26, 6:00 PM UTC
33/5
1/25
Anastasiia Firman
Marine Partaud
Mon, Oct 26, 4:08 PM UTC
1/5
14/5
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Michaela Bayerlova
Theadora Rabman
Mon, Oct 26, 4:28 PM UTC
53/50
13/20
Linea Bajraliu
Isabella Marton
Mon, Oct 26, 5:32 PM UTC
1/10
22/5
Tomorrow
Roman Kharlamov
Sergey Petrov
Tue, Oct 27, 8:00 AM UTC
22/5
1/10
Saveliy Ivanov
Edoardo Cherie Ligniere
Tue, Oct 27, 7:00 PM UTC
13/20
53/50
Cristian Felipe Sanchez Rojas
Maxwell McKennon
Tue, Oct 27, 12:00 AM UTC
27/5
7/100
Alan Raul Sau Franco
Jesse Flores
Tue, Oct 27, 7:00 AM UTC
39/10
3/25
Rafael Alfonso De Alba Valdes
Joshua Peck
Tue, Oct 27, 7:00 AM UTC
39/25
21/50
Damien Salvestre
Joaquin Guilleme
Tue, Oct 27, 7:00 AM UTC
53/50
13/20
Rodrigo Alujas
Marco Alvarez
Tue, Oct 27, 7:00 AM UTC
3/10
41/20
Stefan Cooper
Lucca Liu
Tue, Oct 27, 7:00 AM UTC
7/2
3/20
Frazier Rengifo
Carlo Arena Fava
Tue, Oct 27, 7:00 AM UTC
9/50
31/10
Alujas R/Salvestre D
Arena Fava C/Schtulmann Gasca M
Tue, Oct 27, 1:00 AM UTC
2/25
5/1
Alexey Aleshchev
Yuttana Charoenphon
Tue, Oct 27, 3:00 AM UTC
61/50
14/25
Kristjan Tamm
Jaden Dewandaka Tan
Tue, Oct 27, 3:00 AM UTC
23/100
51/20
Ha Minh Duc Vu
Thantub Suksumrarn
Tue, Oct 27, 4:30 AM UTC
31/10
9/50
Adhithya Ganesan
Ren Nakamura
Tue, Oct 27, 4:00 PM UTC
3/20
7/2
Noah Karma
Maxime Janvier
Tue, Oct 27, 4:00 PM UTC
51/20
23/100
Lorenzo Lorusso
Daisuke Sumizawa
Tue, Oct 27, 4:00 PM UTC
13/20
53/50
Kosuke Ogura
James van Herzeele
Tue, Oct 27, 4:00 PM UTC
21/50
39/25
Pranav Karthik
Ergi Kirkin
Tue, Oct 27, 4:00 PM UTC
33/10
4/25
Lorusso L/Sinha N K
Mehrotra A/Visaya A
Tue, Oct 27, 6:00 AM UTC
23/100
51/20
Ogura K/Tamm K
Aleshchev A/Zapp E D
Tue, Oct 27, 7:00 AM UTC
3/25
39/10
Hazawa S/Shiraishi H
Komagata R/Koyama H
Tue, Oct 27, 2:00 AM UTC
9/50
31/10
Darcy Nicholls
Ryuichiro Nakano
Tue, Oct 27, 12:00 AM UTC
17/50
15/8
Cody Atkinson
Aleksander Franko
Tue, Oct 27, 12:00 AM UTC
3/50
29/5
Archie Stewart
Tue, Oct 27, 12:00 AM UTC
9/1
Jeremy Beale
Jerome Estephan
Tue, Oct 27, 12:00 AM UTC
3/100
38/5
Becroft I/Shepp A
Baker N/Sik M E
Tue, Oct 27, 1:30 AM UTC
1/10
22/5
Ryan Ziegann S/Vickery L
Marinkov P/O'Connell B
Tue, Oct 27, 1:30 AM UTC
61/50
14/25
Bouzige M/Ferguson C
Dong C/Sach T L
Tue, Oct 27, 1:30 AM UTC
97/100
71/100
Anderson O/Talic Z
Satara H/Stevens Z
Tue, Oct 27, 1:30 AM UTC
71/100
97/100
Beale J/Vujic S
Aguiard E/Cook E
Tue, Oct 27, 2:30 AM UTC
14/25
61/50
Beamish N/Shearer M
Pann H/Patel S
Tue, Oct 27, 2:30 AM UTC
7/100
27/5
Atkinson C/Ibraimi Y
Hoole C/Pham D
Tue, Oct 27, 2:30 AM UTC
15/8
17/50
Bulte A/Qariaqus D
Hoeyeraal H/Padgham E
Tue, Oct 27, 2:30 AM UTC
31/10
9/50
Leticia Solakov
Marie Weckerle
Tue, Oct 27, 10:00 AM UTC
15/8
17/50
Laura Boehner
Noemi Maines
Tue, Oct 27, 11:30 AM UTC
51/20
23/100
Annemarie Lazar
Oriana Gniewkowska
Tue, Oct 27, 1:00 PM UTC
71/50
47/100
Emily Victoria Eigelsbach
Carolin Raschdorf
Tue, Oct 27, 1:30 PM UTC
23/100
51/20
Victoria Pohle
Elsa Bonelli
Tue, Oct 27, 2:00 PM UTC
71/100
97/100
Lian Tran
Selina Dal
Tue, Oct 27, 2:00 PM UTC
61/50
14/25
Aruzhan Sagandikova
Fang An Lin
Tue, Oct 27, 2:00 AM UTC
59/100
57/50
Kurea Hayasaka
Jeong Moon
Tue, Oct 27, 2:00 AM UTC
7/100
27/5
Jing-Jing Lu
Kamonwan Yodpetch
Tue, Oct 27, 2:00 AM UTC
57/50
59/100
Yeri Hong
Yujin Kim
Tue, Oct 27, 3:00 AM UTC
71/50
47/100
Sonal Patil
Alexandra Malova
Tue, Oct 27, 3:00 AM UTC
22/5
1/10
Yingqun Sun
Anri Nagata
Tue, Oct 27, 3:00 AM UTC
3/20
7/2
Himeno N/Thakkar S P
Nie X/Zhou M
Tue, Oct 27, 4:30 AM UTC
71/50
47/100
Khodzhaeva E/Podgorichani L
Chanta A/Naklo T
Tue, Oct 27, 4:30 AM UTC
23/5
9/100
Sagandykova A/Yodpetch K
Chikaraishi Y/Hayasaka K
Tue, Oct 27, 6:00 AM UTC
3/25
39/10
Patil S/Tamhankar B
Apisah V/Ng K N C
Tue, Oct 27, 6:00 AM UTC
71/50
47/100
Nagata A/Ohashi R
Kim Y/Lin F A
Tue, Oct 27, 7:00 AM UTC
53/50
13/20
Malova A/Varaksina A
Matsumoto Y/Palanivel M
Tue, Oct 27, 7:00 AM UTC
23/100
51/20
JiaYi Wang
Marta Mariia Makarova
Tue, Oct 27, 1:30 AM UTC
71/50
47/100
Meng Yi Chen
Xinle Geng
Tue, Oct 27, 1:30 AM UTC
97/100
71/100
Yuhan Wang
Sohyun Park
Tue, Oct 27, 3:30 AM UTC
71/100
97/100
Junhan Zhang
Jiaqi Wang
Tue, Oct 27, 4:00 PM UTC
39/50
89/100
Ekaterina Ovcharenko
Wushuang Zheng
Tue, Oct 27, 4:00 PM UTC
23/10
27/100
Zhuoxuan Bai
Daria Zelinskaya
Tue, Oct 27, 4:00 PM UTC
3/50
29/5
Chengyiyi Yuan
Ksenia Efremova
Tue, Oct 27, 4:00 PM UTC
71/50
47/100
Boyoung Jeong
Yujia Huang
Tue, Oct 27, 4:00 PM UTC
51/20
23/100
Yidi Yang
Meiqi Guo
Tue, Oct 27, 4:00 PM UTC
21/50
39/25
Xi Luo
Priska Madelyn Nugroho
Tue, Oct 27, 4:00 PM UTC
51/20
23/100
Li Y-Y/Ovcharenko E
Im H/Kim E
Tue, Oct 27, 3:00 AM UTC
21/50
39/25
Panshina V/Zolotareva R
Deng T T/Han J
Tue, Oct 27, 3:00 AM UTC
9/50
31/10
Jeong B/Wang J
Leykina P/Tikhonova A
Tue, Oct 27, 3:00 AM UTC
3/10
41/20
Hou Y/Wang J
Guo M/Yang Y
Tue, Oct 27, 4:30 AM UTC
71/100
97/100
Hu F/Jeng J
Luo X/Ren Y
Tue, Oct 27, 4:30 AM UTC
14/5
1/5
Chen M-Y/Xu J
Nugroho P M/Zheng W
Tue, Oct 27, 4:30 AM UTC
7/2
3/20
Li Y/Wu R X
An L/Li X
Tue, Oct 27, 4:30 AM UTC
27/100
23/10
Lin Y J/Shao Y
Huang Y/Zelinskaya D
Tue, Oct 27, 5:30 AM UTC
42/25
39/100
Nanari Katsumi
Renee Alame
Tue, Oct 27, 12:00 AM UTC
53/50
13/20
Natsuho Arakawa
Lucia Gale
Tue, Oct 27, 12:00 AM UTC
9/50
31/10
Eva Lopez
Angela Cui
Tue, Oct 27, 12:00 AM UTC
21/50
39/25
Elyse Tse
Maahi Shah
Tue, Oct 27, 12:00 AM UTC
1/50
41/5
Erika Sema
Miho Kuramochi
Tue, Oct 27, 1:30 AM UTC
14/5
1/5
Mutsumi Uemura
Yuno Kitahara
Tue, Oct 27, 1:30 AM UTC
59/100
57/50
Amy Stevens
Laquisa Khan
Tue, Oct 27, 1:00 PM UTC
39/100
83/50
Tahlia Kokkinis
Ava Beck
Tue, Oct 27, 1:00 PM UTC
7/100
27/5
I Wen Wan
Ikumi Yamazaki
Tue, Oct 27, 1:00 PM UTC
39/100
42/25
Funa Kozaki
Georgia Campbell
Tue, Oct 27, 1:00 PM UTC
5/6
5/6
Jizelle Sibai
Alana Subasic
Tue, Oct 27, 1:00 PM UTC
57/50
59/100
Vaidehee Chaudhari
Chia Yi Tsao
Tue, Oct 27, 1:00 PM UTC
39/100
42/25
Hikaru Sato
Merel Hoedt
Tue, Oct 27, 1:00 PM UTC
9/100
23/5
Wan I W/Yang Y-Y
Khan L/McKenzie N
Tue, Oct 27, 1:30 AM UTC
3/20
7/2
Beck A/Sibai J
Liu Y/Uchijima M
Tue, Oct 27, 3:00 AM UTC
71/100
97/100
Baker C/Bond-Scott K
Hosoki Y/Nishimoto S
Tue, Oct 27, 3:00 AM UTC
41/5
1/50
Stevens A/Thompson B
Campbell G/Lopez E
Tue, Oct 27, 3:00 AM UTC
3/25
39/10
Katsumi N/Kozaki F
Adams J/Dodaj C
Tue, Oct 27, 3:00 AM UTC
9/100
23/5
Eva Bennemann
Valeriia Iushchenko
Tue, Oct 27, 7:00 AM UTC
3/10
41/20
Ksenia Zaytseva
Ksenia Smirnova
Tue, Oct 27, 7:00 AM UTC
27/100
23/10
Raluca Georgiana Serban
Ekaterina Tupitsyna
Tue, Oct 27, 7:00 AM UTC
39/25
21/50
Valeria Garnevska
Tue, Oct 27, 8:00 AM UTC
9/1
Maria Golovina
Radka Zelnickova
Tue, Oct 27, 8:00 AM UTC
47/100
71/50
Victoria Milovanova
Viktoria Hruncakova
Tue, Oct 27, 8:00 AM UTC
42/25
39/100
Berfu Cengiz
Lina Gjorcheska
Tue, Oct 27, 9:30 AM UTC
21/50
39/25
Dunja Maric
Britt Du Pree
Tue, Oct 27, 9:30 AM UTC
39/10
3/25
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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