TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 2, 9:50 AM EST
Kalshi
This event group covers a professional tennis match between Rafael Jodar and Pablo Carreno Busta scheduled for the 2026 Wimbledon Men's Singles Round of 64 on July 1, 2026. The markets resolve based on which player advances from the match, with specific handling for cancellations, walkovers, retirements, and delays.
This market covers the professional tennis match between Rafael Jodar and Pablo Carreno Busta in the 2026 Wimbledon Men's Singles Round of 64. Resolution requires that a ball be played in the match. If the match does not occur before play begins—due to injury, walkover, forfeiture, or other cancellation—the market resolves to a fair price. If the match is postponed or delayed, the market remains open and closes after the rescheduled match concludes, provided this occurs within two weeks of the original date.
This market refers to the tennis match between Rafael Jodar and Pablo Carreno Busta in the Wimbledon ATP, originally scheduled for July 1, 2026 at 6:00AM ET. This market will resolve to 'Rafael Jodar' if Rafael Jodar advances against Pablo Carreno Busta. This market will resolve to 'Pablo Carreno Busta' if Pablo Carreno Busta advances against Rafael Jodar. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the ATP Tour. A consensus of credible reporting may also be used.
Kalshi and Predict can show different odds on the same tennis match for several reasons. Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts distinct trader pools with different risk tolerances, information access, and trading strategies. Liquidity varies—one platform may have deeper order books, tightening spreads and anchoring prices closer to fair value. Fee structures, UI design, and platform reputation also influence which traders congregate where. Additionally, timing lags mean prices update asynchronously; a sudden news event might hit one platform seconds before the other. These gaps typically narrow as arbitrageurs trade across both venues, but they create opportunities for alert traders.
Several catalysts could shift odds before resolution. Injury reports or fitness updates on either player will trigger sharp repricing, especially if one competitor is carrying a concern into the match. Recent form—tournament results, practice footage, or head-to-head history—often prompts trader repositioning. Court surface preference and weather conditions closer to the event date matter; both players' records on grass versus hard court influence conviction. Betting syndicates or professional traders entering the market with large positions can move prices significantly. News coverage, expert commentary, and line movement on external sportsbooks may also signal information that traders react to, creating volatility in this market.