TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 2:17 AM EST
Polymarket
This market refers to the tennis match between Jing-Jing Lu and Alexandra Malova in the W15 Singapore, Main Draw, originally scheduled for October 23, 2026 at 10:00PM ET. This market will resolve to 'Jing-Jing Lu' if Jing-Jing Lu advances against Alexandra Malova. This market will resolve to 'Alexandra Malova' if Alexandra Malova advances against Jing-Jing Lu. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 6, 2026, 11:59 PM ET (14 days after the scheduled start), this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the International Tennis Federation (ITF). A consensus of credible reporting may also be used.
This market refers to the tennis match between Jing-Jing Lu and Alexandra Malova in the W15 Singapore, Main Draw, originally scheduled for October 23, 2026 at 10:00PM ET. This market will resolve to 'Jing-Jing Lu' if Jing-Jing Lu advances against Alexandra Malova. This market will resolve to 'Alexandra Malova' if Alexandra Malova advances against Jing-Jing Lu. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 6, 2026, 11:59 PM ET (14 days after the scheduled start), this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the International Tennis Federation (ITF). A consensus of credible reporting may also be used.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their odds based on statistical models and expert analysis, while this market’s prices are driven by actual money being wagered on the outcome. It’s common to see discrepancies between the two, especially before a significant amount of betting activity occurs. Examining these differences can be valuable when forming your own opinion about the likely result of the Singapore tennis match.
On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief in the probability of a particular outcome. The price of these shares fluctuates based on supply and demand. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people bet on a player, the price of their shares increases, reflecting a higher perceived chance of winning. Conversely, if traders sell shares, the price decreases. This dynamic pricing system aims to accurately reflect the collective forecast of the market participants.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Singapore tennis match between Jing-Jing Lu and Alexandra Malova. The platform will verify the winner against official tournament results and standings. This ensures a transparent and objective determination of the market’s outcome, providing clarity for all participants.
Several factors could influence the price of shares in this market. Any news regarding player injuries, changes in playing conditions, or updates on their recent performance could shift trader sentiment. Unexpected upsets in other matches leading up to the event might also affect perceptions of the players' form and confidence. Furthermore, significant betting activity – a large purchase or sale of shares – could quickly move the market, especially if it signals informed trading based on new information. Monitoring these signals is key to understanding potential price movements.