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 8, 12:08 PM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between Amritsar Soormas and Mohali Kings scheduled for 2026-09-07 in Sher-E-Punjab T20 League. The outcome corresponding to Amritsar Soormas will be considered correct if the highest individual score in the match is recorded exclusively by a player from Amritsar Soormas. The outcome corresponding to Mohali Kings will be considered correct if the highest individual score is recorded exclusively by a player from Mohali Kings. 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 Amritsar Soormas and Mohali Kings scheduled for 2026-09-07 in Sher-E-Punjab T20 League. The outcome corresponding to Amritsar Soormas will be considered correct if the highest individual score in the match is recorded exclusively by a player from Amritsar Soormas. The outcome corresponding to Mohali Kings will be considered correct if the highest individual score is recorded exclusively by a player from Mohali Kings. 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 player being the top batter. The price of a share directly corresponds to the 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 aggregates information as traders react to news, team lineups, and other relevant factors, dynamically adjusting the probabilities until the event concludes. This creates a real-time assessment of the most likely outcome.
This market resolves around Sep 15, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The player officially recognized as the top batter – meaning the player with the highest number of runs scored in the Sher-E-Punjab T20 match between Amritsar Soormas and Mohali Kings – will determine the winning outcome. The resolution will be based on official match statistics and will be publicly available following the completion of the game. Traders will then be able to claim their winnings based on the final result.
Several factors could significantly influence the Sher-E-Punjab T20 top batter market. Any news regarding player injuries or changes to the team lineups would likely cause shifts in the odds. Weather conditions on the day of the match could also play a role, as they can affect batting performance. Unexpected announcements about pitch conditions or strategic changes by either team could also move the market. Finally, any significant performance trends observed in previous matches by the players involved could impact trader sentiment and, consequently, the market prices.