W15 Taby, Sweden Odds (Australia)
W15 Taby, Sweden — Oct(Oct 26, 2026 – Nov 1, 2026)This Month
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Event MonthCurrent Month
October 2026
176 matches · 1 day
Thu, Oct 29176 matches
10 AM
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176 upcoming matches.
We compare W15 Taby, Sweden odds across 16 bookmakers in Australia
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| Game | Consensus |  Bet on Red |
|---|---|---|
| Today | ||
Ella Haavisto Laetitia Pulchartova Thu, Oct 29, 10:18 AM UTC | 1.15 4.50 | |
Caijsa Wilda Hennemann Julita Saner Thu, Oct 29, 10:19 AM UTC | 1.02 9.20 | |
Alexandre Aubriot Miles Jones Thu, Oct 29, 10:00 PM UTC | 1.97 1.71 | |
Michel Hopp Alexander Vasilev Thu, Oct 29, 10:00 PM UTC | 2.32 1.51 | |
Pablo Perez Ramos Dan Brand Thu, Oct 29, 10:00 PM UTC | 1.51 2.32 | |
Thando Longwe-Smit Ioannis Xilas Thu, Oct 29, 10:00 PM UTC | 6.00 1.08 | |
Bautista De La Pena Fermin Tenti Thu, Oct 29, 1:00 PM UTC | 2.32 1.51 | |
Juan Pablo Ficovich Dante Pagani Thu, Oct 29, 1:00 PM UTC | 1.27 3.30 | |
Ignacio Monzon Rocco Valente Thu, Oct 29, 1:00 PM UTC | 1.20 3.80 | |
Oscar Jose Gutierrez Leonardo Storck Franca Thu, Oct 29, 2:00 PM UTC | 1.65 2.06 | |
Nicolas Bruna Bastian Malla Thu, Oct 29, 2:00 PM UTC | 4.10 1.18 | |
Tomas Farjat Joao Victor Couto Loureiro Thu, Oct 29, 3:00 PM UTC | 2.06 1.65 | |
Pedro Henrique Chabalgoity Tomas Martinez Thu, Oct 29, 8:00 PM UTC | 1.97 1.71 | |
Escurra Isnardi H J/Scramin do Lago J V Camargo Lima E/Schenekenberg G Thu, Oct 29, 2:00 PM UTC | 1.89 1.78 | |
Bojicic Ono L/Remondy Pagotto V H Branchetti G/De La Pena B Thu, Oct 29, 5:30 PM UTC | 1.56 2.22 | |
Ian Luca Cervantes Tomas Joaquin Guilleme Thu, Oct 29, 6:00 PM UTC | 4.10 1.18 | |
Matias Soto Mauricio Schtulmann Gasca Thu, Oct 29, 6:00 PM UTC | 1.02 9.20 | |
Frazier Rengifo Jesse Flores Thu, Oct 29, 7:00 PM UTC | 3.05 1.30 | |
Alvarez M/Liu L de Alba Valdes R A/Sau Franco A Thu, Oct 29, 8:00 PM UTC | 2.42 1.47 | |
Arevalo S/Delgado G Matta A/Peck J Thu, Oct 29, 9:00 PM UTC | 6.40 1.07 | |
Cooper S/Mckennon M Flores J/Quesada Perez T Thu, Oct 29, 9:00 PM UTC | 1.39 2.68 | |
Bacaloni A/Knani O Hammes T/Sanchez Martinez B Thu, Oct 29, 12:00 PM UTC | 3.55 1.23 | |
de Carvalho V/Van Wyk K Bouchelaghem C/Verwerft L G Thu, Oct 29, 12:30 PM UTC | 2.56 1.42 | |
Ouakaa A/Sahtali T Corbinais S/Teglas I A Thu, Oct 29, 12:30 PM UTC | 1.20 3.80 | |
Blaise Bicknell Matisse Farzam Thu, Oct 29, 12:00 PM UTC | 1.20 3.80 | |
Carel Aubriel Ngounoue Matt Kuhar Thu, Oct 29, 12:00 PM UTC | 2.42 1.47 | |
Kian Vakili Keshav Chopra Thu, Oct 29, 12:00 PM UTC | 5.40 1.10 | |
Nathan Cox Paul Colin Thu, Oct 29, 1:00 PM UTC | 2.32 1.51 | |
Tyler Mercier Noah Schachter Thu, Oct 29, 1:00 PM UTC | 5.60 1.09 | |
Kacper Szymkowiak Darian King Thu, Oct 29, 1:00 PM UTC | 2.88 1.34 | |
Alvin Nicholas Tudorica Brendan McDonald Thu, Oct 29, 1:00 PM UTC | 1.07 6.40 | |
Jake Fellows Simone Massellani Thu, Oct 29, 11:00 AM UTC | 2.88 1.34 | |
Giovanni Oradini Andrea Colombo Thu, Oct 29, 11:00 AM UTC | 1.30 3.05 | |
Wojciech Marek Manuel Plunger Thu, Oct 29, 12:00 PM UTC | 1.65 2.06 | |
Maximilian Figl Lorenzo Bocchi Thu, Oct 29, 12:00 PM UTC | 3.80 1.20 | |
Bocchi L/Ciurnelli R Colombo A/Massellani S Thu, Oct 29, 2:00 PM UTC | 2.06 1.65 | |
Bilardo J/Rottoli L Amarandei D A/Figl M Thu, Oct 29, 2:00 PM UTC | 1.23 3.55 | |
Anavatan M/Ozdemir S Brouwer G/Verbeek D Thu, Oct 29, 11:00 AM UTC | 1.56 2.22 | |
Ogura K/Tamm K Alam S/Mischker F Thu, Oct 29, 10:00 AM UTC | 1.16 4.30 | |
Tanishk Konduri Felix Corwin Thu, Oct 29, 4:00 PM UTC | 1.97 1.71 | |
Aidan Kim Luca Preda Thu, Oct 29, 4:00 PM UTC | 1.65 2.06 | |
Preston Stearns Alejandro Arcila Thu, Oct 29, 4:00 PM UTC | 1.30 3.05 | |
Micah Braswell Nikita Samuel Filin Thu, Oct 29, 4:00 PM UTC | 2.32 1.51 | |
Enzo Kohlmann de Freitas Jerry Roddick Thu, Oct 29, 5:00 PM UTC | 1.83 1.83 | |
Andrew Johnson William Jansen Thu, Oct 29, 5:00 PM UTC | 1.71 1.97 | |
Alexander Rozin Jack Anthrop Thu, Oct 29, 5:00 PM UTC | 1.97 1.71 | |
Cozbinov A/Lahjomri Y Anthrop J/Zamora N Thu, Oct 29, 9:30 PM UTC | 2.88 1.34 | |
Djosic N/Shimanov O Jansen W/Petrovic A Thu, Oct 29, 9:30 PM UTC | 2.68 1.39 | |
Manas Dhamne Aleksandr Braynin Thu, Oct 29, 10:30 AM UTC | 1.23 3.55 | |
Garrett Johns Leyton Rivera Thu, Oct 29, 10:30 AM UTC | 1.06 6.80 | |
Leo Borg Cezar Cretu Thu, Oct 29, 10:30 AM UTC | 2.68 1.39 | |
Vladyslav Orlov Daniel Masur Thu, Oct 29, 12:00 PM UTC | 3.80 1.20 | |
Alberto Bronzetti James Mackinlay Thu, Oct 29, 12:00 PM UTC | 1.89 1.78 | |
Neos E/Tsitsipas P Blanchar A/De Felipe Garcia S Thu, Oct 29, 12:00 PM UTC | 1.15 4.50 | |
Maric M/Radovanovic T Delicata L/Stamatopoulos I Thu, Oct 29, 1:30 PM UTC | 1.42 2.56 | |
Asahi Harazaki Bor Artnak Thu, Oct 29, 3:00 PM UTC | 2.56 1.42 | |
Bruno Kuzuhara Tito Chavez Thu, Oct 29, 3:00 PM UTC | 1.30 3.05 | |
Lui Maxted Ilia Snitari Thu, Oct 29, 3:00 PM UTC | 1.27 3.30 | |
Luca Pow Aidan McHugh Thu, Oct 29, 3:00 PM UTC | 2.32 1.51 | |
Tyler Zink Marko Mesarovic Thu, Oct 29, 5:00 PM UTC | 1.27 3.30 | |
Filip Jeff Planinsek Sean Daryabeigi Thu, Oct 29, 5:00 PM UTC | 1.65 2.06 | |
Khololwam Montsi Johan Alexander Rodriguez Rodriguez Thu, Oct 29, 5:00 PM UTC | 1.59 2.14 | |
Alastair Gray Theo Papamalamis Thu, Oct 29, 5:00 PM UTC | 1.51 2.32 | |
Roan Jones Viktor Durasovic Thu, Oct 29, 10:30 AM UTC | 2.56 1.42 | |
Matt Ponchet Martin Krumich Thu, Oct 29, 11:30 AM UTC | 6.00 1.08 | |
Horwood J/Lawlor R Bozemoj B/Pel S Thu, Oct 29, 11:30 AM UTC | 2.06 1.65 | |
Fryer C/McKay K Gannon C/Nirundorn T Thu, Oct 29, 2:00 PM UTC | 1.83 1.83 | |
Kylie Collins Connie Ma Thu, Oct 29, 3:00 PM UTC | 2.68 1.39 | |
Arantxa Rus Kristina Liutova Thu, Oct 29, 3:00 PM UTC | 4.50 1.15 | |
Allura Zamarripa Akasha Urhobo Thu, Oct 29, 3:00 PM UTC | 3.55 1.23 | |
Julieta Pareja Barbora Palicova Thu, Oct 29, 4:00 PM UTC | 1.34 2.88 | |
Caroline Dolehide Ella McDonald Thu, Oct 29, 4:00 PM UTC | 1.59 2.14 | |
Madison Brengle Yuki Naito Thu, Oct 29, 5:00 PM UTC | 1.34 2.88 | |
Sloane Stephens Astra Sharma Thu, Oct 29, 5:00 PM UTC | 1.39 2.68 | |
Renata Zarazua Xinyu Gao Thu, Oct 29, 6:00 PM UTC | 1.56 2.22 | |
Osuigwe W/Smith A Lutkemeyer Obregon A C/Miroshnichenko V Thu, Oct 29, 5:00 PM UTC | 1.47 2.42 | |
El Jardi D/Frodin T Lincer O/Urhobo A Thu, Oct 29, 6:00 PM UTC | 1.65 2.06 | |
Nijkamp R M/Rus A Collins K/Penickova K Thu, Oct 29, 6:00 PM UTC | 2.42 1.47 | |
Broadus S/Zamarripa A Maltby S/Zampardo M Thu, Oct 29, 10:30 PM UTC | 1.23 3.55 | |
Josy Daems Emily Victoria Eigelsbach Thu, Oct 29, 10:30 AM UTC | 1.56 2.22 | |
Emma Sophie Glaser Emma Slavikova Thu, Oct 29, 10:30 AM UTC | 1.56 2.22 | |
Lian Tran Tilwith Di Girolami Thu, Oct 29, 10:30 AM UTC | 2.06 1.65 | |
Victoria Pohle Leticia Solakov Thu, Oct 29, 11:30 AM UTC | 1.47 2.42 | |
Abendroth I A/Abendroth J A Schuknecht L/Schweika M Thu, Oct 29, 2:00 PM UTC | 1.27 3.30 | |
Gniewkowska O/Lazar A Daems J/Reusch G Thu, Oct 29, 2:00 PM UTC | 2.22 1.56 | |
Victoire Lansaman Anna Shkutova Thu, Oct 29, 11:00 PM UTC | 3.30 1.27 | |
Komano M/Xu B Husar S/Srutwa M Thu, Oct 29, 12:00 PM UTC | 1.78 1.89 | |
Dibenedetto C/Gandolfi F Shkutova A/Struvay S Thu, Oct 29, 12:00 PM UTC | 1.10 5.40 | |
Paola Lopez Emily Zornada Thu, Oct 29, 1:00 PM UTC | 1.97 1.71 | |
Valentina Abril Bruno Angela Morena Medinaceli Lobos Thu, Oct 29, 1:00 PM UTC | 1.03 8.60 | |
Sofia Meabe Ana Julieta Lopez Ocampos Thu, Oct 29, 1:00 PM UTC | 1.09 5.60 | |
Melissa Boyden Josefina Estevez Thu, Oct 29, 2:00 PM UTC | 9.20 1.02 | |
Luciana Moyano Sofia Simon Padros Thu, Oct 29, 2:00 PM UTC | 1.01 10.00 | |
Luna Morini Alisa Danilova Thu, Oct 29, 2:00 PM UTC | 1.59 2.14 | |
Sol Ailin Larraya Guidi Maria Jose Sanchez Uribe Thu, Oct 29, 4:00 PM UTC | 1.47 2.42 | |
Ana Victoria Gobbi Monllau Sofia Finchelstein Thu, Oct 29, 5:00 PM UTC | 1.04 7.60 | |
Boyden M/Moyano L Morini L/Portoman A Thu, Oct 29, 5:00 PM UTC | 1.02 9.20 | |
Belkova K/Efremova A Sedenkova V/Shmeleva M Thu, Oct 29, 1:35 PM UTC | 1.71 1.97 | |
Hanatani N/Lu J-J Apisah V/Ng K N C Thu, Oct 29, 4:00 PM UTC | 1.07 6.40 | |
Malova A/Varaksina A Chanta A/Naklo T Thu, Oct 29, 4:00 PM UTC | 5.40 1.10 | |
Sagandykova A/Yodpetch K Nie X/Zhou M Thu, Oct 29, 4:00 PM UTC | 1.02 9.20 | |
Amelie Smejkalova Kallista Liu Thu, Oct 29, 2:00 PM UTC | 1.97 1.71 | |
Mia Robinson Yael Saffar Thu, Oct 29, 2:00 PM UTC | 1.71 1.97 | |
Adla Lopez Emery Combs Thu, Oct 29, 2:00 PM UTC | 3.05 1.30 | |
Malwina Rowinska Chiara Di Genova Thu, Oct 29, 2:00 PM UTC | 1.78 1.89 | |
Karla Bartel Scarlett Fagan Thu, Oct 29, 3:00 PM UTC | 2.22 1.56 | |
Carlota Moreno Anita Sahdiieva Thu, Oct 29, 3:00 PM UTC | 1.59 2.14 | |
Alice Soulie Allison Wang Thu, Oct 29, 3:00 PM UTC | 2.56 1.42 | |
Lani Chang Celia Anson Sanchez Thu, Oct 29, 3:00 PM UTC | 1.27 3.30 | |
Hansen S O/Roots A Grekul E/Norin F Thu, Oct 29, 12:00 PM UTC | 1.83 1.83 | |
Biot A/Kapcia V Bernstein G/Hafstrom V Thu, Oct 29, 12:35 PM UTC | 1.65 2.06 | |
Nylander Altelius J/Radenkovic M Bosman C/Veldman K Thu, Oct 29, 12:35 PM UTC | 3.30 1.27 | |
Maslenkova M/Saner J Pulchartova L/Salvadori M Thu, Oct 29, 12:35 PM UTC | 1.83 1.83 | |
Li Y/Wu R X Huang Y/Zelinskaya D Thu, Oct 29, 4:00 PM UTC | 4.50 1.15 | |
Pia Lovric Antonina Sushkova Thu, Oct 29, 10:30 AM UTC | 1.42 2.56 | |
Maryia Magro Angelica Raggi Thu, Oct 29, 10:30 AM UTC | 9.20 1.02 | |
Clarissa Gai Anja Stankovic Thu, Oct 29, 10:30 AM UTC | 5.60 1.09 | |
Chelsea Fontenel Joy de Zeeuw Thu, Oct 29, 12:00 PM UTC | 2.06 1.65 | |
Ewald W/Sramkova T Adeshina E/Grammatikopoulou V Thu, Oct 29, 12:00 PM UTC | 3.55 1.23 | |
Paganetti V/Urgesi F Easwaramurthi A/Magro M Thu, Oct 29, 1:30 PM UTC | 1.02 9.20 | |
Jialin T/Zaparyniuk A Fehr N/Perera Vega J Thu, Oct 29, 1:30 PM UTC | 1.02 9.20 | |
Evialina Laskevich Dana Guzman Thu, Oct 29, 3:00 PM UTC | 2.68 1.39 | |
Edda Mamedova Rebecca Munk Mortensen Thu, Oct 29, 3:00 PM UTC | 2.14 1.59 | |
Bella Payne Lily Taylor Thu, Oct 29, 3:00 PM UTC | 1.71 1.97 | |
Reina Goto Salakthip Ounmuang Thu, Oct 29, 3:00 PM UTC | 1.47 2.42 | |
Maria Berlanga Bandera Alina Shcherbinina Thu, Oct 29, 5:00 PM UTC | 4.10 1.18 | |
Jenna Defalco Ashley Lahey Thu, Oct 29, 5:00 PM UTC | 2.06 1.65 | |
Julia Adams Chloe Noel Thu, Oct 29, 5:00 PM UTC | 1.65 2.06 | |
Gloriana Goreti Nahum Briana Szabo Thu, Oct 29, 5:00 PM UTC | 1.30 3.05 | |
Drenser-Hagmann K/Guzman D Kupres M/Paskauskas K Thu, Oct 29, 7:00 PM UTC | 2.06 1.65 | |
Epps Z/Szabo B Berlanga Bandera M/Okalova M Thu, Oct 29, 7:00 PM UTC | 1.56 2.22 | |
Laskevich E/Mamedova E Svetac S/Taylor L Thu, Oct 29, 7:00 PM UTC | 1.39 2.68 | |
Adams J/Fouad N Lahey A/Vagramov A Thu, Oct 29, 7:00 PM UTC | 2.94 1.33 | |
Vaidehee Chaudhari Funa Kozaki Thu, Oct 29, 11:00 PM UTC | 1.23 3.55 | |
Hikaru Sato Erika Sema Thu, Oct 29, 11:00 PM UTC | 1.27 3.30 | |
Alana Subasic Belle Thompson Thu, Oct 29, 11:00 PM UTC | 1.51 2.32 | |
Cagla Buyukakcay Lidia Encheva Thu, Oct 29, 10:24 AM UTC | 2.88 1.34 | |
Iushchenko V/Turkmen D Bennemann E/Schunk N Thu, Oct 29, 11:00 AM UTC | 2.56 1.42 | |
Lekomtseva U/Tupitsyna E Egorova D/Zaytseva K Thu, Oct 29, 11:24 AM UTC | 4.50 1.15 | |
Kubareva A/Yashina E Sedysheva A/Smirnova K Thu, Oct 29, 11:32 AM UTC | 1.42 2.56 | |
Kuzmova K/Novak K Golovina M/Milovanova V Thu, Oct 29, 12:24 PM UTC | 1.27 3.30 | |
Jo-Yee Chan Ipek Oz Thu, Oct 29, 8:00 PM UTC | 3.05 1.30 | |
Ana Carmen Zamburek Anastasia Tikhonova Thu, Oct 29, 8:00 PM UTC | 6.00 1.08 | |
Malaika Rapolu Julia Garcia Thu, Oct 29, 9:00 PM UTC | 1.15 4.50 | |
Justina Mikulskyte Cadence Brace Thu, Oct 29, 10:00 PM UTC | 2.42 1.47 | |
Avataneo S/Harvey A Giordano M/Hrda L Thu, Oct 29, 9:00 PM UTC | 2.56 1.42 | |
Chan J-Y/Gibbs K Bohrer Martins C/Tona M Thu, Oct 29, 11:00 PM UTC | 2.42 1.47 | |
Valentina Steiner Fiona Crawley Thu, Oct 29, 11:07 AM UTC | 3.30 1.27 | |
Tessa Johanna Brockmann Elena Malygina Thu, Oct 29, 11:09 AM UTC | 1.97 1.71 | |
Amelia Rajecki Ella Seidel Thu, Oct 29, 11:10 AM UTC | 2.42 1.47 | |
Laura Hietaranta Mona Barthel Thu, Oct 29, 12:30 PM UTC | 6.80 1.06 | |
Hannah Klugman Sofya Lansere Thu, Oct 29, 1:30 PM UTC | 1.27 3.30 | |
Aikawa M/Vismane D Hodzic M/Sebestova I Thu, Oct 29, 12:30 PM UTC | 2.42 1.47 | |
Christie F/Silva E Dada-Mascoll S/Okutoyi A Thu, Oct 29, 12:30 PM UTC | 1.51 2.32 | |
Gardiner K/Romanova L Malygina E/Rajecki A Thu, Oct 29, 1:30 PM UTC | 9.20 1.02 | |
Brockmann T J/Seidel E Hietaranta L/Steiner V Thu, Oct 29, 3:30 PM UTC | 1.83 1.83 | |
Veronika Podrez Manon Leonard Thu, Oct 29, 10:35 AM UTC | 1.47 2.42 | |
Lola Radivojevic Gina Marie Dittmann Thu, Oct 29, 11:30 AM UTC | 1.09 5.60 | |
Sada Nahimana Harmony Tan Thu, Oct 29, 12:00 PM UTC | 5.60 1.09 | |
Diana Martynov Jenny Lim Thu, Oct 29, 1:00 PM UTC | 2.68 1.39 | |
Marine Szostak Clara Burel Thu, Oct 29, 4:00 PM UTC | 9.20 1.02 | |
Oceane Dodin Nahia Berecoechea Thu, Oct 29, 5:00 PM UTC | 1.23 3.55 | |
Leonard M/Monnot A Jorge F/Jorge M Thu, Oct 29, 12:30 PM UTC | 5.40 1.10 | |
Dittmann G M/Otzipka J Marcinkevica D/Partaud M Thu, Oct 29, 1:30 PM UTC | 1.20 3.80 | |
Abanda F/Vickery S Hesse A/Nahimana S Thu, Oct 29, 2:30 PM UTC | 2.14 1.59 | |
Ayana Akli Hiromi Abe Thu, Oct 29, 2:00 PM UTC | 1.83 1.83 | |
Clemence Mercier Valentina Ryser Thu, Oct 29, 2:00 PM UTC | 3.80 1.20 | |
Reese Brantmeier Clervie Ngounoue Thu, Oct 29, 3:00 PM UTC | 1.18 4.10 | |
Kayla Cross Carson Tanguilig Thu, Oct 29, 3:00 PM UTC | 1.30 3.05 | |
Teah Chavez Lea Ma Thu, Oct 29, 4:00 PM UTC | 3.05 1.30 | |
Katherine Sebov Tara Gowda Thu, Oct 29, 4:00 PM UTC | 1.30 3.05 | |
Madison Sieg Sara Saito Thu, Oct 29, 5:00 PM UTC | 2.22 1.56 | |
Anastasia Kulikova Kajsa Rinaldo Persson Thu, Oct 29, 6:00 PM UTC | 2.56 1.42 | |
Dartron E/Rouvroy M Bayerlova M/Gimbrere J Thu, Oct 29, 6:30 PM UTC | 2.42 1.47 | |
Cross K/Rogers A Akli A/Sieg M Thu, Oct 29, 6:30 PM UTC | 1.65 2.06 | |
Brantmeier R/Tanguilig C Arseneault A/Lacasse R Thu, Oct 29, 7:30 PM UTC | 1.42 2.56 | |
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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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