TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 22, 2:37 AM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between Pakistan Women and Bangladesh Women scheduled for September 21 2026 at 8:00 PM ET in Asian Games Women. The outcome corresponding to Pakistan Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Pakistan Women. The outcome corresponding to Bangladesh Women will be considered correct if the highest individual score is recorded exclusively by a player from Bangladesh 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 Pakistan Women and Bangladesh Women scheduled for September 21 2026 at 8:00 PM ET in Asian Games Women. The outcome corresponding to Pakistan Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Pakistan Women. The outcome corresponding to Bangladesh Women will be considered correct if the highest individual score is recorded exclusively by a player from Bangladesh 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.
On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing their belief in each outcome – in this case, which team will have the top batter. The price of each share directly reflects the implied probability of that outcome. As more traders buy shares in a particular team, the price increases, indicating growing confidence. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price movements are driven by supply and demand, and the platform facilitates these trades, ensuring a transparent and dynamic pricing process.
This market resolves around Sep 29, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team with the highest aggregate batting score during the Asian Games Women's cricket match will be declared the winner of this market. Resolution will be based on official match results and statistics, ensuring a fair and accurate determination of the outcome. Traders will be able to claim their winnings once the resolution is finalized on Polymarket.
Several factors could influence trading activity and shift the odds in this market. Any news regarding player form, injuries, or changes to team lineups would likely have a significant impact. Unexpected weather conditions during the match could also affect performance and therefore market prices. Furthermore, major shifts in public sentiment, perhaps driven by expert analysis or media coverage, could lead to increased trading volume and price fluctuations. Ultimately, any information that alters perceptions of each team’s chances of success has the potential to move this market.