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, 11:46 AM EST
Kalshi
A professional tennis match takes place in the Round Of 32 at the 2026 ATP S-Hertogenbosch tournament between two competitors. The match will be decided in a best-of-three sets format.
Prediction market odds on Kalshi often diverge from traditional sportsbook odds because they reflect real-time crowd sentiment and continuous trading rather than fixed lines. Sportsbooks typically offer fewer exact-score options and adjust less frequently. Prediction markets can be more granular, pricing each possible set outcome independently. Comparing Kalshi probabilities to major sportsbook lines reveals whether the crowd is more or less bullish on specific scorelines than professional oddsmakers.
On Kalshi, the exact match score is priced as a set of binary contracts, each representing a possible final scoreline. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy or sell shares at prices between 0 and 100 cents, where the price reflects the crowd's estimated probability of that outcome occurring. Volume and open interest accumulate across all scoreline contracts. Prices update continuously as new trades execute, allowing participants to enter or exit positions at market rates throughout the period leading to match resolution on Jun 8, 2026.
The market resolves on Jun 8, 2026. Resolution is determined by the official final set score recorded at the conclusion of the match between Marin Cilic and Denis Shapovalov. The exact scoreline—such as 2–0, 2–1, 1–2, or 0–2 in sets—establishes which contract settles to 100 cents and all others to zero. Only the verified final result counts; the market does not settle on intermediate scores or match suspensions.
Odds will shift based on player fitness updates, recent tournament performance, head-to-head records, and court surface suitability. News of injuries, coaching changes, or withdrawal announcements can trigger sharp repricing. As the match date approaches, betting volume typically increases, amplifying price swings. During the match itself, live performance—early set momentum, break points, and player form—drives rapid adjustments. Pre-match analysis from tennis experts and betting syndicates can also influence crowd positioning before play begins.