Live prediction market odds for Yasmine Mansouri vs. Dominika Salkova. Compare prices across Kalshi.
Join our Discord for breaking news alerts, driven by real-time movements in prediction markets.
Kalshi
2026-04-11
Yasmine Mansouri vs. Dominika Salkova — WTA Tennis match scheduled for 2026-04-11. Compare live prediction market odds from Kalshi, Polymarket, and more on Prediction Hunt.
Dominika Salkova leads the “Yasmine Mansouri vs. Dominika Salkova” event at 90.0% implied probability, followed by Yasmine Mansouri at 49.5%. Platforms are tightly aligned at a 0.0% spread.
Yasmine Mansouri vs. Dominika Salkova is a prediction market event currently tracked across 1 platform (Kalshi). Dominika Salkova leads at 90% implied probability, making it the market favorite. Other contenders include Yasmine Mansouri at 50%.
Dominika Salkova currently leads at 90% implied probability. Behind Dominika Salkova, Yasmine Mansouri at 50% are the next closest contenders. Platforms were tightly aligned at a 0.0% spread, suggesting broad consensus on the odds.
Here are the latest odds across Kalshi: Dominika Salkova: 90¢ on Kalshi. Yasmine Mansouri: 50¢ on Kalshi. Platforms are tightly aligned at a 0.0% spread, leaving little room for cross-platform arbitrage.
A price of 90¢ means the market estimates a 90% probability that Dominika Salkova will be the outcome. Buying one share at 90¢ pays out $1.00 if correct — a 11% return — or $0 if wrong. This is the core mechanic of prediction markets: the price directly reflects the crowd's probability estimate.
Build a custom bot or arb alert system for the “Yasmine Mansouri vs. Dominika Salkova” event. All for free.
As seen on Financial Times and Polymark.et
Used by builders and traders in our 2K+ Discord community
This market resolves based on official announcements from authoritative sources. Prediction Hunt aggregates odds across platforms but does not determine outcomes. Each platform maintains its own resolution criteria — check each platform's rules before trading.
Dominika Salkova
90.0% avg
