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 8, 11:52 AM EST
Kalshi
Two professional tennis players compete in a 2026 ATP Stuttgart Round of 32 match. The outcome is determined by the final result, regardless of which player wins or the set score.
Prediction market odds on Kalshi often diverge from traditional sportsbook odds because they reflect real-time trader sentiment rather than fixed bookmaker lines. Sportsbooks typically offer limited exact-score betting options and adjust lines to manage liability, while prediction markets allow continuous price discovery across all possible scorelines. Comparing Kalshi odds to major sportsbooks can reveal which exact scores the crowd views as undervalued or overvalued, helping you identify potential trading opportunities before the match.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the exact match score is priced as a set of binary contracts, each representing a specific final scoreline. Traders buy or sell shares at prices between 0 and 100 cents, with the price reflecting the implied probability of that exact outcome occurring. As new information emerges about player form, conditions, or betting patterns, prices adjust dynamically. You can enter or exit positions at any time before market close, and your profit or loss depends on whether your chosen scoreline matches the final result.
The market resolves on Jun 8, 2026, after the match between Gauthier Onclin and Fabian Marozsan concludes. Resolution is determined by the official final score recorded at the end of regulation play. Only the exact scoreline that matches the official result will resolve to 100 cents; all other score contracts expire worthless at 0 cents. Traders holding shares in the correct exact score receive their payout, while positions in incorrect scores result in a total loss.
Key catalysts include recent form and head-to-head records, player injuries or fitness updates, and pre-match analysis from expert commentators. Changes in betting consensus at sportsbooks can also shift prediction market prices as professional bettors adjust their positions. Weather conditions, venue specifics, and any last-minute lineup announcements closer to match day will influence trader expectations about which exact scores are most likely. Social media sentiment and media coverage may amplify price moves as the event approaches.