TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 15, 1:31 PM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between Zimbabwe and Australia scheduled for September 15 2026 at 3:30 AM ET in Australia Tour of Zimbabwe ODIs. The outcome corresponding to Zimbabwe will be considered correct if the highest individual score in the match is recorded exclusively by a player from Zimbabwe. The outcome corresponding to Australia will be considered correct if the highest individual score is recorded exclusively by a player from Australia. 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 and Australia scheduled for September 15 2026 at 3:30 AM ET in Australia Tour of Zimbabwe ODIs. The outcome corresponding to Zimbabwe will be considered correct if the highest individual score in the match is recorded exclusively by a player from Zimbabwe. The outcome corresponding to Australia will be considered correct if the highest individual score is recorded exclusively by a player from Australia. 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 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 batter, the price increases, reflecting a higher perceived chance of them being the top batter. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s efficiency is driven by the incentives for traders to accurately assess and express their predictions, leading to a dynamic and informative price discovery process. This allows for a real-time assessment of probabilities.
This market resolves around Sep 22, 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 Australia Tour of Zimbabwe ODIs. In the event of a tie, the market will resolve to the 'Draw' outcome. The official match results, as reported by recognized sports news sources, will be used to determine the winning batter and finalize the market. Traders should monitor these sources as the series progresses to stay informed about potential resolution triggers.
Several factors could influence this market. Any news regarding player injuries or changes to the batting order would likely cause significant shifts in the odds. Strong performances by a particular batter in the early matches of the series could also lead to increased confidence and higher share prices for that player. Weather conditions, which could affect the style of play and scoring opportunities, are another potential catalyst. Unexpected team selections or tactical changes could also impact the perceived probabilities, causing traders to adjust their positions and move the market.