Maria Pares Bergnes de las Casas vs. Sofia Montesinos Vilanova
Live prediction market odds for Maria Pares Bergnes de las Casas vs. Sofia Montesinos Vilanova. Compare prices across .
ITF Women Listed Resolved
This market resolved on Oct 19, 2026. was the officially declared outcome.
Maria Pares Bergnes de las Casas vs.
Maria Pares Bergnes de las Casas vs. Sofia Montesinos Vilanova: ITF Women's World Tennis Tour match held on 2026-10-19. Review the historical prediction market odds from Kalshi and Polymarket on Prediction.com.
| Question | Result |
|---|---|
Sofia Montesinos VilanovaWINNER | Yes |
Maria Pares Bergnes de las Casas | No |
Official settlement criteria, resolution sources, and edge cases across Polymarket US.
Polymarket USThis market will settle to the winner of the Sofia Montesinos Vilanova vs Maria Pares Bergnes de las Casas ITF match scheduled for October 19, 2026 at 4:00AM ET (as of the listing of the event's first instrument). If the match does not begin due to a walkover, withdrawal, or cancellation, the market will settle to $0.50. If a player retires or is disqualified during the match, the market will settle to the official winner of the match. If the match is delayed, postponed, suspended or otherwise rescheduled to a date and time not within two days of the originally scheduled date and time, the market will settle to $0.50. Outcome sourced from ITF.
The outcomes listed above show how traders are pricing this question. Venue prices are not currently available on this page. Each price reflects the market’s implied probability, not a guaranteed result. This event is archived; prices shown are historical.
No historical prices are available on this page. The last available price is not necessarily the final settlement price.
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For example, a 40¢ price implies about a 40% chance. For a standard $1 contract, a share pays $1 if its outcome settles as correct and $0 if it settles as incorrect. A winning share bought at 40¢ earns 60¢ before fees. Check each venue’s settlement rules, fees and eligibility before trading. Historical prices alone do not identify the winning outcome.
