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Live prediction market odds for Lucrezia Stefanini vs. Yuliia Starodubtseva. Compare prices across Kalshi and Polymarket.

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MARKET RESOLVEDKalshi / Polymarket

Yuliia Starodubtseva Wins: Lucrezia Stefanini vs. Yuliia Starodubtseva

Resolved 2026-04-20

This market resolved on 2026-04-20. Yuliia Starodubtseva was the officially declared outcome. Prior to resolution, the market peaked at 99%.

About This Market

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Lucrezia Stefanini vs. Yuliia Starodubtseva — WTA Tennis match held on 2026-04-20. Review the historical prediction market odds from Kalshi, Polymarket, and more on Prediction Hunt.

Price History

Multi-Platform Probabilities
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Final Closing Odds

2 platforms
Candidate
Kalshi
Polymarket
Yuliia StarodubtsevaWINNER
99%100%
Lucrezia Stefanini
1%0%

Frequently Asked Questions

What was "Lucrezia Stefanini vs. Yuliia Starodubtseva" and why did it matter?

Lucrezia Stefanini vs. Yuliia Starodubtseva was a prediction market event tracked across 2 platforms (Kalshi, Polymarket). Yuliia Starodubtseva led the market at 99% implied probability before resolution. Other contenders include Lucrezia Stefanini at 1%.

What moved the odds on "Lucrezia Stefanini vs. Yuliia Starodubtseva"?

Yuliia Starodubtseva held the lead at 99% implied probability heading into resolution. Behind Yuliia Starodubtseva, Lucrezia Stefanini at 1% were the next closest contenders. Platforms were tightly aligned at a 1.0% spread, suggesting broad consensus on the odds.

What were the final odds for "Lucrezia Stefanini vs. Yuliia Starodubtseva" across platforms?

Here were the closing odds across Kalshi, Polymarket: Yuliia Starodubtseva: 99¢ on Kalshi, 100¢ on Polymarket. Lucrezia Stefanini: 1¢ on Kalshi, 0¢ on Polymarket. Platforms were tightly aligned at a 1.0% spread, leaving little room for cross-platform arbitrage.

What did 99% odds for Yuliia Starodubtseva mean?

A price of 99¢ meant the market estimated a 99% chance that Yuliia Starodubtseva would be the outcome. Traders who bought at 99¢ and held through resolution received $1.00 per share — a 1% return on their position. Those on the wrong side received $0.

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Resolution Oracles

KalshiKalshi
Kalshi Rules
PolymarketPolymarket
UMA Optimistic Oracle
Read Full Market Rulebooks
Stats
Spread1.0%
Platforms2
Candidates2
Winner

Yuliia Starodubtseva

99.5% avg

Market Rulebook: Lucrezia Stefanini vs. Yuliia Starodubtseva

Official settlement criteria, resolution sources, and edge cases across Kalshi and Polymarket.

KalshiKalshi
Primary Rule

If Lucrezia Stefanini wins the Starodubtseva vs Stefanini professional tennis match in the 2026 WTA Madrid Qualification Round 1 after a ball has been played, then the market resolves to Yes.

Edge Cases

The following market refers to the Starodubtseva vs Stefanini professional tennis match in the 2026 WTA Madrid Qualification Round 1 after a ball has been played. If the match does not occur (signaled by a ball being played) due to a player injury, walkover, forfeiture, or any other cancellation (all before the match starts), the market will resolve to a fair price in accordance with the rules. If this match is postponed or delayed, the market will remain open and close after the rescheduled match has finished (within two weeks).

Resolution Oracles
Kalshi Rules
PolymarketPolymarket
Primary Rule

This market refers to the tennis match between Yulia Starodubtseva and Lucrezia Stefanini in the Madrid Open, Qualification, originally scheduled for April 20, 2026 at 8:30AM ET. This market will resolve to “Starodubtseva” if Yulia Starodubtseva wins the first set. It will resolve to “Stefanini” if Lucrezia Stefanini wins the first set. If the match begins but is not completed, and the first set is concluded with a winner determined, this market will resolve based on that completed set. If the first set is not completed for any reason, this market will resolve 50-50. If the match is canceled (not played at all) or is delayed beyond 7 days from the scheduled date without play beginning, this market will resolve 50-50. Resolution will be based on official WTA match statistics.

Resolution Oracles
UMA Optimistic Oracle
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