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 25, 1:57 PM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between India A Women and Australia A Women scheduled for September 25 2026 at 4:30 AM ET in Australia A Women Tour of India Unofficial ODIs. The outcome corresponding to India A Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from India A Women. The outcome corresponding to Australia A Women will be considered correct if the highest individual score is recorded exclusively by a player from Australia A 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 A Women and Australia A Women scheduled for September 25 2026 at 4:30 AM ET in Australia A Women Tour of India Unofficial ODIs. The outcome corresponding to India A Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from India A Women. The outcome corresponding to Australia A Women will be considered correct if the highest individual score is recorded exclusively by a player from Australia A 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 double auction. Traders buy and sell shares representing their belief in a particular player being the top batter. As more shares are purchased for a specific player, the price of those shares increases, reflecting growing confidence. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a share represents the probability of that outcome occurring, as perceived by the market participants. This dynamic pricing mechanism allows the market to quickly adapt to new information and changing expectations regarding player form and match conditions.
This market resolves around Oct 2, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will determine which player scored the most runs across all unofficial ODI matches in the Australia A Women Tour of India. In the event of a tie, the player who reached the score in fewer innings will be considered the top batter. The resolution will be based on official match scorecards and statistics, ensuring a transparent and verifiable result for this market.
Several factors could significantly influence this market. Any news regarding player injuries or changes in team lineups would likely cause shifts in the odds. Unexpected weather conditions that might favor certain batting styles could also play a role. Furthermore, the performance of players in preceding matches, even those outside of this specific series, could impact market sentiment. Finally, any expert analysis or commentary predicting player form could also lead to changes in trading activity and, consequently, the prices within this market.