TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 3, 1:41 PM EST
Kalshi
Two professional tennis players compete in a quarterfinal match at the 2026 French Open, with this event determining the overall winner of the match regardless of the final set score.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the exact match score between Auger-Aliassime and Cobolli is priced as a binary or multi-outcome contract reflecting the probability of each possible set result. Traders buy and sell shares corresponding to their belief in each scoreline, with the market price converging toward the true likelihood as the match approaches. Kalshi's pricing mechanism rewards accurate forecasters and penalizes incorrect predictions, creating incentives for informed trading. The current price reflects aggregate market conviction about which exact score is most likely.
The market resolves on Jun 3, 2026 following the completion of the match between Felix Auger-Aliassime and Flavio Cobolli. Resolution is determined by the official final set score recorded by the tournament organizer and confirmed through standard sports data sources. Once the match concludes and the exact scoreline is confirmed, the prediction market settles all positions based on which outcome occurred. Traders holding the correct exact score prediction receive their payout, while incorrect positions expire worthless.
Key signals that could shift the market include recent match results and form for both players, injury reports or fitness concerns, court surface and playing conditions on match day, and head-to-head historical patterns. Tournament seeding, draw positioning, and psychological momentum from earlier rounds also influence exact score probabilities. Real-time updates during the match itself—such as early set performance, break points, and momentum swings—will drive the most dramatic repricing. Traders continuously reassess the likelihood of each scoreline as these factors evolve.