TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 29, 11:26 AM EST
Kalshi
This market tracks the outcome of the first set in the Elina Svitolina versus Tamara Korpatsch match at the 2026 French Open Women's Singles Round of 32. On Kalshi, Svitolina winning set 1 is priced at 88.0%, while Korpatsch winning set 1 stands at 12.0%. Resolution is determined by the official result from the professional tennis match. Watch for the match scheduled around May 29, 2026, when the two players compete in the Round of 32.
Prediction market odds on Kalshi reflect real-money trader consensus and often differ from traditional sportsbook lines. Sportsbooks set odds to balance action and manage risk, while prediction markets aggregate beliefs of individual traders with financial incentives to forecast accurately. For the Svitolina vs Korpatsch Set 1 matchup, prediction market prices may move faster in response to late-breaking information such as player injuries, weather conditions, or warm-up performance. Comparing Kalshi odds to major sportsbooks can reveal where the prediction market sees value or disagreement with conventional betting lines.
The market resolves on May 29, 2026 or shortly after the conclusion of Set 1 in the Elina Svitolina vs Tamara Korpatsch match. Resolution is determined by the official result of the first set as recorded by the tournament organizer and confirmed by reliable sports data sources. The outcome is binary: either Svitolina or Korpatsch will win Set 1, and the market settles accordingly. Traders should monitor the match schedule and any official announcements regarding timing, venue changes, or player status that could affect when the set is played and resolved.
Several factors could shift odds for the Svitolina vs Korpatsch Set 1 outcome. Player injury reports or withdrawal announcements would trigger sharp repricing. Recent tournament results, practice performance, or fitness updates about either player may influence trader sentiment. Court surface conditions, weather forecasts, and match scheduling changes can affect perceived advantage. Head-to-head history and recent form trends are continuously reassessed as new data emerges. Betting activity from sharp traders or large position changes can also move prices. Monitor official tournament communications, player social media, and sports news outlets for developments that traders may react to before the match begins.