W100 Templeton, USA Odds (United States)
W100 Templeton, USA — Mar
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Event MonthCurrent Month
October 2026
100 matches · 2 days
Mon, Oct 2632 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
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
100 upcoming matches.
We compare W100 Templeton, USA odds across 19 bookmakers in United States
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| Game | Consensus |  Bet on Red |  RollBit |  Rainbet |  Roobet |  BC.GAME |
|---|---|---|---|---|---|---|
| Today | ||||||
Cabrera A/Gamborino M Matta A/Peck J Mon, Oct 26, 7:00 PM UTC | +580 -1,667 | |||||
Candelas Ruiz R/Llanes Echavarria P Alvarez M/Liu L Mon, Oct 26, 11:00 PM UTC | +540 -1,429 | |||||
Flores J/Quesada Perez T Lage L/Martinez Miranda J Mon, Oct 26, 11:00 PM UTC | -294 +188 | |||||
Giovanni Oradini Matteo Fondriest Mon, Oct 26, 11:00 PM UTC | -2,500 +660 | |||||
Denis Constantin Spiridon Wojciech Marek Mon, Oct 26, 11:00 PM UTC | +230 -370 | |||||
Simone Massellani Pietro Orlando Fellin Mon, Oct 26, 11:00 PM UTC | +350 -667 | |||||
Raffaele Ciurnelli Lorenzo Bocchi Mon, Oct 26, 11:00 PM UTC | +142 -213 | |||||
Erwin Troebinger Jacopo Bilardo Mon, Oct 26, 11:00 PM UTC | +820 -5,000 | |||||
Fellin M/Fellin P O Mugelli P/Sarritzu B Mon, Oct 26, 3:39 PM UTC | -500 +280 | |||||
Lechner D/Trombini M Borrelli L/Morolli A Mon, Oct 26, 6:39 PM UTC | +188 -294 | |||||
Zane Stevens Matthew Shearer Mon, Oct 26, 11:00 PM UTC | -1,000 +440 | |||||
Alex Bulte Nick Beamish Mon, Oct 26, 11:00 PM UTC | -213 +142 | |||||
Ymerali Ibraimi Heaton Pann Mon, Oct 26, 11:00 PM UTC | -500 +280 | |||||
Lachlan Vickery Samarth Patel Mon, Oct 26, 11:00 PM UTC | -1,667 +580 | |||||
Josephine Kunz Alize Lim Mon, Oct 26, 4:09 PM UTC | +280 -500 | |||||
Ema Burgic Maria Kononova Mon, Oct 26, 4:10 PM UTC | -435 +255 | |||||
Divna Ratkovic Lexington Reed Mon, Oct 26, 4:24 PM UTC | +390 -833 | |||||
Mayu Crossley Cara Korhonen Mon, Oct 26, 5:08 PM UTC | -2,000 +620 | |||||
Sujin Lee Allura Zamarripa Mon, Oct 26, 5:09 PM UTC | +820 -5,000 | |||||
Dominika Podhajecka Anastasia Abbagnato Mon, Oct 26, 5:10 PM UTC | +230 -370 | |||||
Anne Christine Lutkemeyer Obregon Chloe Henderson Mon, Oct 26, 6:09 PM UTC | -5,000 +820 | |||||
Sofia Elena Cabezas Dominguez Taylor Gruber Mon, Oct 26, 6:10 PM UTC | -2,500 +660 | |||||
Zaire Clarke Veronica Miroshnichenko Mon, Oct 26, 6:24 PM UTC | +350 -667 | |||||
Monique Barry Yuka Hosoki Mon, Oct 26, 11:00 PM UTC | -333 +205 | |||||
Yuhan Liu Naomi McKenzie Mon, Oct 26, 11:00 PM UTC | -500 +280 | |||||
Sera Nishimoto Maiko Uchijima Mon, Oct 26, 11:00 PM UTC | -154 +106 | |||||
Prisha Vyas Imperia Martinez Mora Mon, Oct 26, 5:00 PM UTC | -500 +280 | |||||
Ximena Senties Ana Carmen Zamburek Mon, Oct 26, 6:00 PM UTC | +660 -2,500 | |||||
Anastasiia Firman Marine Partaud Mon, Oct 26, 4:00 PM UTC | -500 +280 | |||||
Carson Tanguilig Anna Tabunshchyk Mon, Oct 26, 3:17 PM UTC | -1,000 +440 | — — | — — | |||
Michaela Bayerlova Theadora Rabman Mon, Oct 26, 4:21 PM UTC | +106 -154 | |||||
Linea Bajraliu Isabella Marton Mon, Oct 26, 4:24 PM UTC | -1,000 +440 | |||||
| Tomorrow | ||||||
Roman Kharlamov Sergey Petrov Tue, Oct 27, 8:00 AM UTC | +440 -1,000 | |||||
Cristian Felipe Sanchez Rojas Maxwell McKennon Tue, Oct 27, 12:00 AM UTC | +540 -1,429 | |||||
Alan Raul Sau Franco Jesse Flores Tue, Oct 27, 7:00 AM UTC | +440 -1,000 | |||||
Rafael Alfonso De Alba Valdes Joshua Peck Tue, Oct 27, 7:00 AM UTC | +156 -238 | |||||
Damien Salvestre Joaquin Guilleme Tue, Oct 27, 7:00 AM UTC | +106 -154 | |||||
Rodrigo Alujas Marco Alvarez Tue, Oct 27, 7:00 AM UTC | -333 +205 | |||||
Stefan Cooper Lucca Liu Tue, Oct 27, 7:00 AM UTC | +350 -667 | |||||
Frazier Rengifo Carlo Arena Fava Tue, Oct 27, 7:00 AM UTC | -556 +310 | |||||
Alujas R/Salvestre D Arena Fava C/Schtulmann Gasca M Tue, Oct 27, 1:00 AM UTC | -1,250 +500 | |||||
Alexey Aleshchev Yuttana Charoenphon Tue, Oct 27, 3:00 AM UTC | +122 -179 | — — | — — | |||
Ha Minh Duc Vu Thantub Suksumrarn Tue, Oct 27, 4:30 AM UTC | +310 -556 | — — | — — | |||
Lorusso L/Sinha N K Mehrotra A/Visaya A Tue, Oct 27, 6:00 AM UTC | -435 +255 | — — | — — | |||
Ogura K/Tamm K Aleshchev A/Zapp E D Tue, Oct 27, 7:00 AM UTC | -833 +390 | — — | — — | |||
Darcy Nicholls Ryuichiro Nakano Tue, Oct 27, 12:00 AM UTC | -294 +188 | |||||
Cody Atkinson Aleksander Franko Tue, Oct 27, 12:00 AM UTC | -1,667 +580 | |||||
Archie Stewart Tue, Oct 27, 12:00 AM UTC | +900 | |||||
Jeremy Beale Jerome Estephan Tue, Oct 27, 12:00 AM UTC | -3,333 +760 | |||||
Becroft I/Shepp A Baker N/Sik M E Tue, Oct 27, 1:30 AM UTC | -1,111 +460 | |||||
Ryan Ziegann S/Vickery L Marinkov P/O'Connell B Tue, Oct 27, 1:30 AM UTC | +122 -179 | |||||
Bouzige M/Ferguson C Dong C/Sach T L Tue, Oct 27, 1:30 AM UTC | -103 -141 | |||||
Anderson O/Talic Z Satara H/Stevens Z Tue, Oct 27, 1:30 AM UTC | -141 -103 | |||||
Beale J/Vujic S Aguiard E/Cook E Tue, Oct 27, 2:30 AM UTC | -179 +122 | |||||
Beamish N/Shearer M Pann H/Patel S Tue, Oct 27, 2:30 AM UTC | -1,429 +540 | |||||
Atkinson C/Ibraimi Y Hoole C/Pham D Tue, Oct 27, 2:30 AM UTC | +188 -294 | |||||
Bulte A/Qariaqus D Hoeyeraal H/Padgham E Tue, Oct 27, 2:30 AM UTC | +310 -556 | |||||
Leticia Solakov Marie Weckerle Tue, Oct 27, 10:00 AM UTC | +188 -294 | |||||
Laura Boehner Noemi Maines Tue, Oct 27, 11:30 AM UTC | +255 -435 | |||||
Annemarie Lazar Oriana Gniewkowska Tue, Oct 27, 1:00 PM UTC | +142 -213 | |||||
Emily Victoria Eigelsbach Carolin Raschdorf Tue, Oct 27, 1:30 PM UTC | -435 +255 | |||||
Victoria Pohle Elsa Bonelli Tue, Oct 27, 2:00 PM UTC | -141 -103 | |||||
Lian Tran Selina Dal Tue, Oct 27, 2:00 PM UTC | +122 -179 | |||||
Aruzhan Sagandikova Fang An Lin Tue, Oct 27, 2:00 AM UTC | -169 +114 | — — | — — | |||
Kurea Hayasaka Jeong Moon Tue, Oct 27, 2:00 AM UTC | -1,429 +540 | — — | — — | |||
Jing-Jing Lu Kamonwan Yodpetch Tue, Oct 27, 2:00 AM UTC | +114 -169 | — — | — — | |||
Yeri Hong Yujin Kim Tue, Oct 27, 3:00 AM UTC | +142 -213 | — — | — — | |||
Sonal Patil Alexandra Malova Tue, Oct 27, 3:00 AM UTC | +440 -1,000 | — — | — — | |||
Yingqun Sun Anri Nagata Tue, Oct 27, 3:00 AM UTC | -667 +350 | — — | — — | |||
JiaYi Wang Marta Mariia Makarova Tue, Oct 27, 1:30 AM UTC | +156 -238 | |||||
Meng Yi Chen Xinle Geng Tue, Oct 27, 1:30 AM UTC | -103 -141 | |||||
Yuhan Wang Sohyun Park Tue, Oct 27, 3:30 AM UTC | -141 -103 | |||||
Junhan Zhang Jiaqi Wang Tue, Oct 27, 4:00 PM UTC | -128 -112 | |||||
Ekaterina Ovcharenko Wushuang Zheng Tue, Oct 27, 4:00 PM UTC | +230 -370 | |||||
Zhuoxuan Bai Daria Zelinskaya Tue, Oct 27, 4:00 PM UTC | -5,000 +780 | |||||
Chengyiyi Yuan Ksenia Efremova Tue, Oct 27, 4:00 PM UTC | +142 -213 | |||||
Boyoung Jeong Yujia Huang Tue, Oct 27, 4:00 PM UTC | +280 -500 | |||||
Yidi Yang Meiqi Guo Tue, Oct 27, 4:00 PM UTC | -238 +156 | |||||
Li Y-Y/Ovcharenko E Im H/Kim E Tue, Oct 27, 3:00 AM UTC | -238 +156 | |||||
Panshina V/Zolotareva R Deng T T/Han J Tue, Oct 27, 3:00 AM UTC | -526 +300 | |||||
Hou Y/Wang J Guo M/Yang Y Tue, Oct 27, 4:30 AM UTC | -141 -103 | |||||
Hu F/Jeng J Luo X/Ren Y Tue, Oct 27, 4:30 AM UTC | +280 -500 | |||||
Chen M-Y/Xu J Nugroho P M/Zheng W Tue, Oct 27, 4:30 AM UTC | +340 -625 | |||||
Nanari Katsumi Renee Alame Tue, Oct 27, 12:00 AM UTC | +106 -154 | |||||
Natsuho Arakawa Lucia Gale Tue, Oct 27, 12:00 AM UTC | -556 +310 | |||||
Eva Lopez Angela Cui Tue, Oct 27, 12:00 AM UTC | -238 +156 | |||||
Elyse Tse Maahi Shah Tue, Oct 27, 12:00 AM UTC | -5,000 +820 | |||||
Erika Sema Miho Kuramochi Tue, Oct 27, 1:30 AM UTC | +280 -500 | |||||
Mutsumi Uemura Yuno Kitahara Tue, Oct 27, 1:30 AM UTC | -169 +114 | |||||
Amy Stevens Laquisa Khan Tue, Oct 27, 1:00 PM UTC | -256 +166 | |||||
Tahlia Kokkinis Ava Beck Tue, Oct 27, 1:00 PM UTC | -1,429 +540 | |||||
I Wen Wan Ikumi Yamazaki Tue, Oct 27, 1:00 PM UTC | -256 +168 | |||||
Funa Kozaki Georgia Campbell Tue, Oct 27, 1:00 PM UTC | -120 -120 | |||||
Jizelle Sibai Alana Subasic Tue, Oct 27, 1:00 PM UTC | +114 -169 | |||||
Vaidehee Chaudhari Chia Yi Tsao Tue, Oct 27, 1:00 PM UTC | -256 +168 | |||||
Hikaru Sato Merel Hoedt Tue, Oct 27, 1:00 PM UTC | -1,111 +460 | |||||
Beck A/Sibai J Liu Y/Uchijima M Tue, Oct 27, 3:00 AM UTC | -141 -103 | |||||
Baker C/Bond-Scott K Hosoki Y/Nishimoto S Tue, Oct 27, 3:00 AM UTC | +820 -5,000 | |||||
Stevens A/Thompson B Campbell G/Lopez E Tue, Oct 27, 3:00 AM UTC | -833 +390 | |||||
Katsumi N/Kozaki F Adams J/Dodaj C Tue, Oct 27, 3:00 AM UTC | -1,111 +460 | |||||
- 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