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 11, 5:56 AM EST
Kalshi
A professional tennis match in the 2026 ATP S-Hertogenbosch Round Of 16 between two players will be played, with focus on the outcome of the first set.
On Kalshi, the Ugo Humbert vs Benjamin Bonzi Set 1 Winner market is priced as binary contracts that trade between 0 and 100 cents, with each cent representing a 1% implied probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy or sell contracts based on their belief in whether Humbert or Bonzi will win the first set. The bid-ask spread reflects market liquidity and uncertainty; tighter spreads indicate higher confidence and volume, while wider spreads suggest lower participation. Prices converge toward 0 or 100 as the set concludes and the outcome becomes certain.
The market resolves on Jun 10, 2026 or upon completion of the first set, whichever comes first. Resolution is determined by the official result of Set 1 in the Ugo Humbert vs Benjamin Bonzi match. The outcome is binary: one contract resolves to 100 cents (the winner) and the other to 0 cents (the loser). Early resolution may occur if the match is abandoned or if the first set is definitively completed before the scheduled end date. Traders should monitor match schedules and any official updates from the tournament organizer.
Key catalysts include recent head-to-head records, surface conditions (clay, hard court, grass), player form and injury status, and pre-match betting action. Court-side momentum during the set itself—such as early breaks, momentum swings, or tactical adjustments—will drive real-time price moves. Weather delays or unexpected match postponements can also shift trader sentiment. News of player fitness, coaching changes, or equipment issues hours before the match may trigger repricing. As the set progresses, each game won or lost will cause sharp price movements reflecting the changing probability of set completion.