TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 20, 2:56 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 Sri Lanka Women scheduled for September 19 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 Sri Lanka Women will be considered correct if the highest individual score is recorded exclusively by a player from Sri Lanka 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 Sri Lanka Women scheduled for September 19 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 Sri Lanka Women will be considered correct if the highest individual score is recorded exclusively by a player from Sri Lanka 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 reflects the implied probability of that outcome occurring. As more traders buy shares in a particular player, the price increases, and the implied probability rises. 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 information and sentiment, creating a dynamic and real-time assessment of the potential top batter in the Asian Games Women's cricket match.
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 in the Asian Games Women's cricket match between Pakistan Women and Sri Lanka Women. The official match results, as reported by the tournament organizers, will be used to determine the winning outcome. Any ties will be handled according to the official tournament rules, and that outcome will be reflected in the market resolution.
Several factors could influence trading activity in this market. Any news regarding player form, injuries, or changes to the team lineups would likely cause shifts in probabilities. Unexpected weather conditions that might favor certain batting styles could also impact the market. Furthermore, performance in preceding matches or warm-up games could influence traders’ perceptions of each player’s capabilities. Finally, any significant public endorsements or expert analysis predicting a particular player’s success could also move this market.