TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 14, 7:18 AM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between Australia Women and Bangladesh Women scheduled for October 13 2026 at 11:50 PM ET in Bangladesh Women Tour of Australia ODIs. The outcome corresponding to Australia Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Australia 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 Australia Women and Bangladesh Women scheduled for October 13 2026 at 11:50 PM ET in Bangladesh Women Tour of Australia ODIs. The outcome corresponding to Australia Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Australia 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 exchange where traders 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 team’s batter, the price of those shares increases, and the probability of that outcome rises. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts to new information and changing sentiment, providing a real-time assessment of the potential for each team’s top performer.
This market resolves around Oct 21, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which team’s batter scores the most runs across all matches in the Australia vs Bangladesh ODI series. Official match results and statistics will be used to determine the winning outcome. The platform will verify the data against established sports reporting sources to ensure accuracy and transparency in the resolution process.
Several factors could influence trading activity in this market. Any news regarding player injuries, changes in team lineups, or weather forecasts impacting playing conditions could significantly shift the odds. Strong individual performances by key batters in early matches of the series would likely increase their chances in this market. Furthermore, expert analysis and public sentiment expressed through social media and sports news outlets can also contribute to price movements as traders react to new information and adjust their predictions.