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 9, 12:31 PM EST
Kalshi
A professional tennis match takes place in the 2026 ATP Stuttgart Round of 32 between two competitors, with focus on the outcome of the first set.
On Kalshi, the Diego Dedura-Palomero vs James Duckworth Set 1 Winner market is priced as binary contracts, with each outcome trading between 0 and 100 cents. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy contracts at the current ask price if they believe that outcome is underpriced, or sell at the bid if they see it as overvalued. Kalshi's order book displays depth and recent trade history, allowing you to gauge momentum and liquidity. The spread between bid and ask reflects market tightness; narrower spreads indicate higher confidence and trading activity around the Dedura-Palomero vs Duckworth Set 1 outcome.
The market resolves on Jun 8, 2026 or shortly after the completion of Set 1 in the Diego Dedura-Palomero vs James Duckworth match. Resolution is determined by the official result of the first set, as recorded by the tournament or match authority. Once Set 1 concludes, the winning outcome is confirmed and contracts settle accordingly. Traders should monitor the match schedule and any official announcements to ensure they understand the exact timing and conditions for resolution.
Several factors could shift odds for the Dedura-Palomero vs Duckworth Set 1 market. Recent form updates, injury reports, or practice footage released before the match may alter trader expectations. Court surface conditions, weather, and player head-to-head history can influence pricing as new information emerges. Lineup confirmations and pre-match commentary from analysts often trigger trading volume spikes. Additionally, early-set momentum during the actual match—such as a player breaking serve or winning key points—will drive rapid repricing as traders update their probability estimates in real time.