TOTAL VOLUME:
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24H VOL:
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OPEN INTEREST:
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420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
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Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 28, 10:42 AM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between India Women and Zimbabwe Women scheduled for October 28 2026 at 4:30 AM ET in Zimbabwe Women Tour of India ODIs. The outcome corresponding to India Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from India Women. The outcome corresponding to Zimbabwe Women will be considered correct if the highest individual score is recorded exclusively by a player from Zimbabwe 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 India Women and Zimbabwe Women scheduled for October 28 2026 at 4:30 AM ET in Zimbabwe Women Tour of India ODIs. The outcome corresponding to India Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from India Women. The outcome corresponding to Zimbabwe Women will be considered correct if the highest individual score is recorded exclusively by a player from Zimbabwe 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.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on statistical models and expert opinions, whereas this market allows anyone to trade on their beliefs, potentially leading to more accurate predictions as new information emerges. Discrepancies may arise due to differing levels of information available to each group, or biases inherent in each system. It’s common to see this market odds adjust more dynamically to news and developments than sportsbook lines.
This market resolves around Nov 4, 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 across all matches in the India vs Zimbabwe ODI series. In the event of a tie, the market will resolve to the 'Draw' outcome. The official match results from reputable sports news sources will be used to determine the winning player and finalize the outcome of this market.
Several factors could influence trading activity in this market. Player form leading up to and during the series, any injury news affecting key batters, and even weather conditions impacting the matches could all cause shifts in the odds. Unexpected performances in early matches will likely have a significant impact, as will any changes to the playing lineups. Major news related to team strategies or pitch conditions could also move the market, as traders react to new information and adjust their predictions accordingly.