P. Badosa WTA Tour Tennis Odds 2026
BADOSA
Trading Volume$10.4M
Active Markets15
NationalitySpain
Upcoming Matches
Match History
| Date | Match | Score | |
|---|---|---|---|
| Jul 19 | Paula Badosa vs Mayar Sherif | 0–2 | L |
| Jul 17 | Paula Badosa vs Tamara Zidansek | 2–1 | W |
| Jul 16 | Paula Badosa vs Panna Udvardy | 2–0 | W |
| Jul 14 | Paula Badosa vs Alevtina Ibragimova | 2–1 | W |
| Jul 11 | Paula Badosa vs Anhelina Kalinina | 2–0 | W |
| Jul 10 | Paula Badosa vs Simona Waltert | 2–0 | W |
| Jul 9 | Paula Badosa vs Yulia Putintseva | 2–0 | W |
| Jul 8 | Paula Badosa vs Varvara Lepchenko | 2–0 | W |
| Jul 6 | Paula Badosa vs Emiliana Arango | 2–0 | W |
| Jul 5 | Paula Badosa vs Marina Bassols Ribera | 2–0 | W |
| Jun 19 | Paula Badosa vs Sinja Kraus | 0–0 | D |
| Jun 18 | Paula Badosa vs Linda Noskova | 0–2 | L |
| Jun 17 | Paula Badosa vs Coco Gauff | 2–1 | W |
| Jun 15 | Paula Badosa vs Suzan Lamens | 2–0 | W |
| Jun 6 | Paula Badosa vs Daria Snigur | 0–2 | L |
More WTA Tour Matches
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Sinja Kraus vs Noma Noha Akugue
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Simona Waltert vs Mayar Sherif
Simona Waltert
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15 markets·$44K Vol.
Marie Bouzkova vs Carol Young Suh Lee
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Carol Young Suh LeeLivesport Prague Open
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Jennifer Ruggeri vs Lola Radivojevic
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All Markets
| Hamburg European Open: Katarzyna Kawa vs Paula Badosa | Katarzyna Kawa36% | Paula Badosa65% |
| Hamburg European Open: Completed Match: Katarzyna Kawa vs Paula Badosa | Yes50% | No51% |
| Set 1 Winner: Kawa vs Badosa | Kawa39% | Badosa61% |
| Set 2 Winner: Kawa vs Badosa | Kawa44% | Badosa56% |
| Kawa vs. Badosa: Set 1 Games O/U 8.5 | Over63% | Under37% |
| Katarzyna Kawa vs. Paula Badosa: Total Sets O/U 2.5 | Over 2.536% | Under 2.564% |
| Kawa vs. Badosa: Match O/U 21.5 | Over47% | Under54% |
| Kawa vs. Badosa: Set 2 Games O/U 8.5 | Over38% | Under63% |
| Kawa vs. Badosa: Set 1 Games O/U 9.5 | Over39% | Under62% |
| Kawa vs. Badosa: Match O/U 22.5 | Over43% | Under57% |
| Kawa vs. Badosa: Set 2 Games O/U 9.5 | Over45% | Under55% |
| Kawa vs. Badosa: Set 1 Games O/U 10.5 | Over28% | Under72% |
| Kawa vs. Badosa: Match O/U 23.5 | Over30% | Under71% |
| Kawa vs. Badosa: Set 2 Games O/U 10.5 | Over50% | Under50% |
| Set Handicap: Badosa (-1.5) vs Kawa (+1.5) | Badosa44% | Kawa56% |
About Paula Badosa
Frequently Asked Questions
Polymarket currently hosts 15 active markets for Paula Badosa (BADOSA) with over $10.4M in total trading volume. You can trade on match winners (moneyline), spreads, totals (over/under), and other markets across all of their upcoming matches. Each market is priced as an implied probability — for example, a price of 65¢ means traders collectively believe there is a 65% chance of that outcome. New markets are added as Paula Badosa's schedule progresses.
Each WTA Tour market on Polymarket is structured as a yes/no question — for example, "Will Paula Badosa win?" You buy shares in "Yes" or "No" at the current market price, which reflects the crowd-sourced implied probability. If your side is correct when the match concludes, your shares pay out $1 each. If incorrect, they pay $0. You can also sell your shares at any time before the match ends to lock in a profit or cut a loss. Prices update in real-time as traders react to news like injury reports, lineup changes, and other developments.
All Paula Badosa markets resolve based on official match results, including overtime or extra periods where applicable. Moneyline markets resolve based on the final result of the match. Spread markets resolve based on the final margin relative to the posted line. Totals (over/under) resolve based on the combined final score. You can check the Rules on any individual market page to see the exact resolution criteria, including how postponements or cancellations are handled.
Polymarket odds are set by real traders putting real money behind their positions, which tends to produce well-calibrated probabilities. With over $10.4M traded on Paula Badosa markets alone, these prices aggregate the collective knowledge of participants who follow WTA Tour closely — factoring in team form, injuries, schedule strength, and head-to-head records. Prediction markets have a strong track record of accuracy, often outperforming traditional sources by reflecting the latest information as it emerges. Visit the accuracy page on Polymarket for the latest accuracy metrics across different time periods.
Several factors can move Paula Badosa's odds on Polymarket. The most impactful include recent results and form, injury reports and lineup changes, schedule context (regular season vs. playoffs), head-to-head history against specific opponents, and home vs. away performance. Traders incorporate all of these variables into the price, which is why odds can shift rapidly when new information like a key player being ruled out becomes available.
Yes. This page is a free resource for tracking Paula Badosa's match results, win rate, and live market odds — no account or trade required. You can monitor how odds shift in real-time as a way to gauge market sentiment on Paula Badosa's upcoming matches. If you decide to trade later, you can sign up and fund your account at any time.
Sign up for a free Polymarket account and fund it using crypto, a credit or debit card, or a bank transfer. Then return to this page, choose any active Paula Badosa market, select the side you want to trade, enter your amount, and confirm. Your position will be visible in your portfolio, and you can sell at any time before the market resolves.
On Polymarket, the price of each side in a market represents the market's implied probability. A price of 65¢ for BADOSA on the moneyline means traders collectively believe there is roughly a 65% chance that Paula Badosa will win that match. If you buy BADOSA shares at 65¢ and they win, you receive $1 per share — a profit of 35¢ per share. If they lose, those shares are worth $0. Prices shift in real-time as new information emerges and traders update their positions.
Polymarket is the world's largest prediction market, where you can stay informed and trade on real-world events. Traders buy and sell shares on outcomes across politics, sports, crypto, finance, tech, culture, and esports — including WTA Tour matches for teams like Paula Badosa. Prices reflect real-time, crowd-sourced probabilities backed by real money, offering a transparent, market-driven alternative to traditional odds sources. Visit poly.havingsomuch.fun to explore all available markets.
Updated Jul 21, 2026 8:30 pm ET