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 12, 2:30 PM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between India A and Australia A scheduled for September 12 2026 at 8:30 AM ET in T20 Series India A vs Australia A, Women. The outcome corresponding to India A will be considered correct if the highest individual score in the match is recorded exclusively by a player from India A. The outcome corresponding to Australia A will be considered correct if the highest individual score is recorded exclusively by a player from Australia A. 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 India A and Australia A scheduled for September 12 2026 at 8:30 AM ET in T20 Series India A vs Australia A, Women. The outcome corresponding to India A will be considered correct if the highest individual score in the match is recorded exclusively by a player from India A. The outcome corresponding to Australia A will be considered correct if the highest individual score is recorded exclusively by a player from Australia A. 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 where traders buy and sell shares representing their belief in each team’s likelihood of being the top batter. The price of a share directly corresponds to the implied probability of that outcome. As more traders buy shares in a particular team, the price increases, reflecting growing confidence. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market efficiently incorporates new information and adjusts probabilities in real-time based on supply and demand. This dynamic pricing allows traders to express and profit from their informed opinions.
This market resolves around Sep 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be determined by identifying the team that has the highest run-scorer across the entire T20 series. Official match results and statistics will be used to verify the winning team. The market will then settle, and share values will adjust to reflect the actual outcome of the India A vs Australia A women’s T20 series. Traders holding shares in the winning team will receive a payout.
Several factors could influence trading activity and shift the odds in this market. Player form and injuries are key catalysts – news about a star batter’s fitness or recent performance could significantly impact their team’s chances. Unexpected weather conditions during matches could also affect scoring rates and alter expectations. Furthermore, any significant changes in team strategies or playing conditions could lead traders to reassess their predictions. Major announcements related to player availability or match schedules will likely cause price fluctuations as traders react to the new information.