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 25, 1:59 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 25 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 25 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.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the probability of each outcome. The price of a share directly corresponds to the implied probability of that outcome occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the collective assessment of all traders participating in the market. As more traders participate and new information becomes available, the price will fluctuate, providing a dynamic representation of expectations for the India vs Zimbabwe ODI series.
This market resolves around Nov 1, 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 the entirety of the India vs Zimbabwe ODI series. The official results from the series will be used to determine the winning outcome. Traders will be able to claim their winnings once the resolution is finalized on Polymarket.
Several factors could influence trading activity in this market. Any news regarding player injuries or changes in team lineups for either India or Zimbabwe would likely cause significant movement. Unexpected weather forecasts impacting playing conditions could also shift expectations. Furthermore, performance in earlier matches of the India vs Zimbabwe ODI series will heavily influence the odds, as traders react to real-time results and adjust their predictions accordingly. Analyst opinions and public sentiment can also play a role in driving price fluctuations.