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 15, 11:26 AM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between Zimbabwe Women and South Africa Women scheduled for September 13 2026 at 7:30 AM ET in South Africa Women Tour of Zimbabwe T20s. The outcome corresponding to Zimbabwe Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Zimbabwe Women. The outcome corresponding to South Africa Women will be considered correct if the highest individual score is recorded exclusively by a player from South Africa 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 Zimbabwe Women and South Africa Women scheduled for September 13 2026 at 7:30 AM ET in South Africa Women Tour of Zimbabwe T20s. The outcome corresponding to Zimbabwe Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Zimbabwe Women. The outcome corresponding to South Africa Women will be considered correct if the highest individual score is recorded exclusively by a player from South Africa 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 trading mechanism where users buy and sell shares representing their belief in each outcome. The price of a share directly corresponds to the implied probability of that outcome occurring. As more traders buy shares in a particular team, the price increases, reflecting a higher perceived chance of success. 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 either Zimbabwe Women or South Africa Women to have the top batter in the series.
This market resolves around Sep 20, 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 South Africa Women Tour of Zimbabwe T20s. In the event of a tie, the market will resolve based on pre-defined rules available on Polymarket. Traders should review these rules to understand the specific criteria used to determine the winning outcome for this market.
Several factors could significantly impact this market. Any news regarding player injuries or changes in team lineups would likely cause shifts in the odds. Weather forecasts for the matches could also play a role, as rain delays or altered playing conditions might favor one team's batting style over another. Furthermore, the performance of key players in early matches of the series will heavily influence trading activity. Unexpected strong or weak performances could lead to rapid adjustments in the perceived probabilities, creating opportunities for informed traders.