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 20, 6:02 AM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between Bangladesh Women and India Women scheduled for September 20 2026 at 1:00 AM ET in Asian Games Women. The outcome corresponding to Bangladesh Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Bangladesh 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 Bangladesh Women and India Women scheduled for September 20 2026 at 1:00 AM ET in Asian Games Women. The outcome corresponding to Bangladesh Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Bangladesh 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.
On Polymarket, this market is priced through a continuous trading mechanism where users buy and sell shares representing their belief in each outcome. The price of a share directly corresponds to the implied probability of that outcome occurring. As more traders buy shares in a particular player, the price increases, reflecting growing confidence in their chances of being the top batter. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market's price discovery process is driven entirely by supply and demand, with traders adjusting their positions based on new information and their own analysis of the teams and players involved.
This market resolves around Sep 27, 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 for their team during the entirety of the match between Bangladesh Women and India Women at the Asian Games. The official match results will be used to determine the winner, and the market will settle accordingly. Traders should monitor official sources for updates as the match progresses to understand how the outcome is unfolding and potentially adjust their positions.
Several factors could influence the trading activity in this market. Any news regarding player injuries, changes in team lineups, or weather conditions affecting the match could cause significant shifts in the odds. Strong performances by individual players in preceding matches, or announcements about strategic changes by either team, could also impact trader sentiment. Furthermore, any expert analysis or public predictions that gain traction could sway the market. Monitoring these signals will be crucial for understanding potential movements in the price of shares before Sep 27, 2026.