About This Market
Carolina Alves vs.
Carolina Alves vs. Lan Mi: ITF Women's World Tennis Tour match held on 2026-08-28. Review the historical prediction market odds from Kalshi and Polymarket on Prediction.com.
Carolina Alves vs. Lan Mi
Live prediction market odds for Carolina Alves vs. Lan Mi. Compare prices across .
ITF Women Listed Resolved
This market resolved on Aug 29, 2026. Lan Mi was the officially declared outcome.
Carolina Alves vs.
Carolina Alves vs. Lan Mi: ITF Women's World Tennis Tour match held on 2026-08-28. Review the historical prediction market odds from Kalshi and Polymarket on Prediction.com.
| Question | Result |
|---|---|
Lan MiWINNER | Yes |
Carolina Alves | No |
Official settlement criteria, resolution sources, and edge cases across Polymarket US.
Polymarket USThis market will settle to the winner of the Lan Mi vs Carolina Alves ITF match scheduled for Aug 28, 2026. If the match does not begin due to a walkover, withdrawal, or cancellation, the market will settle to $0.50. If the match is delayed, postponed, or suspended and not rescheduled to a date within two weeks of the originally scheduled date, 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.
Venues have different traders, liquidity and fees, so their prices can differ. A cross-platform comparison needs available prices for the same outcome on at least two venues.
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.