TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 11, 1:20 PM EST
Kalshi
Two professional tennis players will compete in a Round of 16 match at an ATP tournament, with the outcome determined by the total number of games played throughout the entire match.
Resolution is based on the total number of completed games in the full match. If the match does not occur due to injury, walkover, forfeiture, or cancellation before play begins, the market resolves to a fair price. If the match is postponed or delayed, it remains open until the rescheduled match concludes within two weeks. If a player retires, markets that can be unconditionally settled based on completed play resolve accordingly; those that cannot are settled at fair market price at the Exchange's discretion.
Prediction market odds on Kalshi reflect trader consensus on the total games outcome, while traditional sportsbooks set odds based on oddsmakers' models and liability management. Prediction markets often incorporate real-time information and crowd wisdom, whereas sportsbooks may adjust more slowly or maintain wider margins. For the Landaluce vs Fritz match, comparing Kalshi probabilities to major sportsbook lines can reveal where professional and crowd expectations diverge, offering insight into potential value or consensus shifts as the event approaches.
The Martin Landaluce vs Taylor Fritz: Total Games market resolves on Jun 10, 2026. Resolution is determined by the official final game count from the completed match. The outcome depends on whether the total number of games played falls above or below the specified threshold set by the market. Once the match concludes and the final score is confirmed, the contract settles based on that official result, and traders' positions are credited or debited accordingly.
Several factors could shift odds for this match total. Player injury announcements or fitness updates affecting either Landaluce or Fritz would signal changes in match duration expectations. Recent form, head-to-head history, and surface conditions at the venue all influence game count predictions. Court speed and weather conditions closer to match day may alter pace of play. Betting activity and trader sentiment on Kalshi itself can drive price movements as new information surfaces. Any news about player motivation or tournament context may also prompt traders to adjust their probability estimates.