TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 22, 6:45 AM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between Sri Lanka Women and India Women scheduled for September 22 2026 at 1:00 AM ET in Asian Games Women. The outcome corresponding to Sri Lanka Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Sri Lanka Women. The outcome corresponding to India Women will be considered correct if the highest individual score is recorded exclusively by a player from India Women. If the highest individual score is shared by at least one player from each team, the market will resolve to Draw. The market will resolve according to which team's player records the highest individual run total regardless of if the match is not competed (e.g. Due to weather conditions). DLS/DRS adjustments and any other on-field rulings affecting batting statistics are treated as ordinary data. If the match is permanently canceled, abandoned, or otherwise completed without official batting statistics being recorded, the market will resolve Draw. If the match is postponed or rescheduled, the market remains open until the listed fixture is completed and official statistics are available.
This market refers to which team's player records the highest individual run total in the cricket match between Sri Lanka Women and India Women scheduled for September 22 2026 at 1:00 AM ET in Asian Games Women. The outcome corresponding to Sri Lanka Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Sri Lanka Women. The outcome corresponding to India Women will be considered correct if the highest individual score is recorded exclusively by a player from India Women. If the highest individual score is shared by at least one player from each team, the market will resolve to Draw. The market will resolve according to which team's player records the highest individual run total regardless of if the match is not competed (e.g. Due to weather conditions). DLS/DRS adjustments and any other on-field rulings affecting batting statistics are treated as ordinary data. If the match is permanently canceled, abandoned, or otherwise completed without official batting statistics being recorded, the market will resolve Draw. If the match is postponed or rescheduled, the market remains open until the listed fixture is completed and official statistics are available.
Generally, prediction market odds tend to be more accurate than traditional sportsbook odds, as they reflect the collective wisdom of a diverse group of traders. However, sportsbook odds can sometimes offer value, especially early in the market before prediction markets fully mature. Discrepancies can arise due to differing levels of information, biases, and incentives between the two types of markets. It's often useful to compare both to identify potential arbitrage opportunities or gain a more comprehensive understanding of the likely outcome of this market.
This market resolves around Sep 29, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which player scores the most runs in the match between Sri Lanka Women and India Women at the Asian Games. The official match results will be used to determine the winning outcome for this market. Traders should monitor official sources for the final results to understand when the market will be settled.
Several factors could influence the odds in this market. Any news regarding player form, injuries, or changes to team lineups would likely cause significant shifts. Weather conditions on the day of the match could also play a role, as they can affect batting performance. Unexpected announcements about playing conditions or pitch reports could also move the market. Furthermore, any significant shifts in public sentiment or expert analysis regarding the players’ capabilities could impact trading activity and, consequently, the probabilities in this market.