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%
$
Two professional tennis players compete in the Round of 16 of the 2026 French Open Men's Singles tournament. The event tracks the final outcome of their match, covering all possible competitive results.
Prediction market odds on Kalshi often differ from traditional sportsbook odds because they reflect real-time crowd sentiment rather than fixed lines set by oddsmakers. Sportsbooks typically adjust for margin and liability, while prediction markets price outcomes based on continuous trading. For the Cobolli vs Svajda exact score, comparing Kalshi probabilities to major sportsbooks can reveal whether the crowd is more or less confident in specific set outcomes than professional bookmakers.
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 through binary or multi-outcome contracts where each possible set result trades as a separate instrument. Traders buy or sell shares at prices between 0 and 100 cents, with the price reflecting the implied probability of that outcome. As match details emerge—player form, court conditions, head-to-head history—the price adjusts to reflect new information, allowing you to trade in or out of positions before the match concludes.
Key catalysts include recent form and ranking updates for both players, injury reports or fitness concerns, head-to-head record analysis, court surface preference, and tournament draw positioning. Weather conditions, player motivation (especially if seeding or ranking points are at stake), and pre-match commentary from analysts can all shift market expectations. Live match momentum—early set results and break-point conversions—will drive the most dramatic price swings as traders update their probability estimates in real time.