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 23, 12:33 PM 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 23 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 23 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.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set odds based on their own models and risk assessment, while this market’s pricing is driven by individuals wagering their own capital. It is common to see discrepancies between the two, especially before significant events or when new information emerges. Examining both can provide a more comprehensive understanding of the perceived probabilities surrounding the outcome of the India vs Zimbabwe ODI series.
This market resolves around Oct 30, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which team’s batter accumulates the highest total runs across all matches in the India vs Zimbabwe ODI series. Official match results from recognized cricket authorities will be used to determine the winning outcome. The market will then settle, and traders will receive their payouts based on the final result and their positions in this market.
Several factors could influence the trading activity and price movement in this market. Any news regarding player injuries, changes in team lineups, or weather forecasts impacting match schedules could significantly shift trader sentiment. Strong individual performances by key batters in early matches of the series would also likely cause adjustments in the odds. Furthermore, any expert analysis or public polling data suggesting a shift in the perceived probabilities could also contribute to price fluctuations in this market.