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 4, 1:25 PM EST
Kalshi
A professional tennis match between two competitors takes place in the Women's Singles Semifinal at the 2026 French Open, with focus on the outcome of the second set.
On Kalshi, the Diana Shnaider vs Maja Chwalinska Set 2 Winner contract is priced between 0 and 100, where each point represents a 1% probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the collective assessment of whether Maja Chwalinska will win set two, with traders buying YES shares if they believe she will prevail and selling if they expect Shnaider to take the set. Kalshi's order book shows the bid-ask spread, allowing you to see the range of opinion among active traders. As match conditions change—injuries, momentum shifts, or tactical adjustments—the price adjusts to reflect new information and updated trader expectations.
The market resolves on Jun 4, 2026 or shortly after the second set of the Diana Shnaider vs Maja Chwalinska match concludes, whichever comes first. Resolution is determined by the official result of set two as recorded by the tournament organizer and confirmed by reliable sports data sources. Once the set winner is confirmed, the market settles automatically: traders holding shares in the winning outcome receive their payout, while those on the losing side receive nothing. The exact timing depends on match scheduling and any potential delays or postponements.
Several factors could shift odds for the Diana Shnaider vs Maja Chwalinska Set 2 Winner before the match begins and during play. Pre-match signals include recent form, head-to-head records, court surface preference, and injury reports for either player. During set one, traders will react to actual performance: break points converted, serve efficiency, and momentum swings all influence expectations for set two. Weather conditions, fatigue, and tactical adjustments between sets also matter. News of illness, injury, or unexpected withdrawals would trigger sharp repricing. Real-time trading volume often spikes when key moments occur, reflecting how quickly the market incorporates new information into the odds.