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 28, 7:28 AM EST
Kalshi
Two professional tennis players compete in a French Open Round of 64 match, with outcomes determined by whether one player wins by a margin exceeding certain game differentials.
Prediction market odds on Kalshi reflect real-money trader conviction and often diverge from traditional sportsbook spreads. Sportsbooks set lines based on historical models and betting volume, while prediction markets aggregate live information from participants with direct financial incentive to forecast accurately. For the Cobolli-Wu game spread, comparing Kalshi odds to major sportsbooks can reveal where informed traders see value or disagreement. These differences highlight how decentralized prediction markets and traditional oddsmakers weigh player form, recent performance, and head-to-head dynamics differently.
The market resolves on May 27, 2026. Resolution is determined by the final game count between Flavio Cobolli and Yibing Wu across their competitive matchups during the specified period. The outcome hinges on whether Cobolli wins at least 5.5 more games than Wu—a threshold that captures both decisive victories and close contests. Official tournament records and verified match statistics serve as the authoritative source for settlement. Traders should monitor both players' schedules and performance leading up to the resolution date to assess how likely the spread outcome has become.
Key catalysts include recent match results for both players, which directly impact the game differential. Injuries, illness, or withdrawal announcements can dramatically shift odds if either player's availability becomes uncertain. Surface changes and tournament draws matter—clay, grass, or hard court conditions favor different playing styles. Ranking shifts and head-to-head records between Cobolli and Wu influence trader expectations. Media coverage of either player's form, coaching changes, or psychological momentum also moves prices. As the resolution date approaches, each completed match between them narrows uncertainty and reprices the contract based on the updated game differential.