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 11, 10:30 PM 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 11 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 11 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 player being the top batter. The price of each share directly corresponds to the implied probability of that outcome. As more traders buy shares in a particular player, the price increases, reflecting growing confidence. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market efficiently incorporates new information as traders react to news, form changes, or player performance, dynamically adjusting the probabilities until the series concludes.
This market resolves around Sep 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The player officially recognized as the top batter across all T20 matches in the South Africa Women's tour of Zimbabwe will determine the winning outcome. This will be based on the total runs scored by each player throughout the series, with ties broken according to standard cricket rules. The platform will verify the results against official match statistics to ensure accuracy and fairness.
Several factors could significantly impact this market. Any news regarding player injuries or changes to the playing lineups would be a major catalyst. Unexpected weather conditions that might favor certain batting styles could also shift probabilities. Furthermore, strong individual performances in the early matches of the tour will likely drive up the odds for those players, while poor form could lead to a decline in their share prices. Analyst predictions and public sentiment, reflected in media coverage, can also influence trading activity in this market.