TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 9, 2:26 PM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between Somerset Women and Lancashire Women scheduled for 2026-09-09 in Metro Bank One Day Cup Women. The outcome corresponding to Somerset Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Somerset Women. The outcome corresponding to Lancashire Women will be considered correct if the highest individual score is recorded exclusively by a player from Lancashire 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 Somerset Women and Lancashire Women scheduled for 2026-09-09 in Metro Bank One Day Cup Women. The outcome corresponding to Somerset Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from Somerset Women. The outcome corresponding to Lancashire Women will be considered correct if the highest individual score is recorded exclusively by a player from Lancashire 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’s price discovery process is driven by supply and demand, allowing the collective intelligence of traders to determine the most likely outcome.
This market resolves around Sep 16, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The player officially recognized as scoring the most runs in the match will be declared the winner of this market. The resolution will be based on official match statistics, ensuring an objective and transparent determination of the top batter. Traders will be able to see the final results and the settlement of their shares following the conclusion of the match and official verification.
Several factors could influence the odds in this market. Any news regarding player form, injuries, or changes to the team lineup would likely cause significant shifts. Weather conditions on the day of the match could also play a role, potentially favoring certain batting styles. Unexpected performances in previous matches or changes in pitch conditions could also impact trader sentiment. Furthermore, any late-breaking information about player availability or strategic decisions could lead to adjustments in the probabilities reflected in this market.