TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 8, 11:51 AM EST
Kalshi
Two professional tennis players compete in the second set of their 2026 ATP Stuttgart Round of 32 match. The outcome depends on which player wins that set.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the Gauthier Onclin vs Fabian Marozsan Set 2 Winner market is priced through a continuous order-book mechanism where traders submit bids and asks for each outcome. The current market price reflects the last executed trade and the spread between buy and sell orders. As match conditions evolve and new information surfaces, traders adjust their positions, moving the price up or down. Kalshi's pricing incorporates real-time sentiment from active traders participating in this specific tennis event contract.
The Gauthier Onclin vs Fabian Marozsan Set 2 Winner market resolves on Jun 8, 2026. Resolution is determined by the official result of the second set in the match between these two players. The market will settle once the set concludes and the winner is confirmed through official tournament records or broadcast sources. Traders should monitor the match schedule and any updates from the tournament organizers to anticipate resolution timing.
Several factors could shift odds for the Onclin vs Marozsan Set 2 Winner. First-set results will provide crucial momentum signals and reveal current form and court conditions. Player fitness updates, injury reports, or weather delays affecting play tempo could alter expectations. Betting action from sharp traders responding to live match dynamics will drive price movement. Historical head-to-head performance, surface preference, and serve-return statistics may influence crowd sentiment as the match approaches. Real-time set score and break-point opportunities will create the most volatile trading activity.