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 11, 4:37 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 Ludhiana Lions scheduled for September 11 2026 at 9:30 AM ET 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 Ludhiana Lions will be considered correct if the highest individual score is recorded exclusively by a player from Ludhiana Lions. 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 Ludhiana Lions scheduled for September 11 2026 at 9:30 AM ET 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 Ludhiana Lions will be considered correct if the highest individual score is recorded exclusively by a player from Ludhiana Lions. 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 implied probability of that outcome. As more people 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 movements are driven by supply and demand, and traders are incentivized to provide accurate predictions to profit from correctly anticipating the outcome.
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 scoring the most runs in the Sher-E-Punjab T20 match between Amritsar Soormas and Ludhiana Lions will determine the winning outcome. Official match statistics will be used to verify the result, ensuring a transparent and accurate resolution process. Traders should monitor official sources for updates as the match progresses.
Several factors could influence trading activity in this market before the match concludes. Any news regarding player injuries, changes to the batting order, or weather conditions affecting the game could significantly shift probabilities. Strong performances by a particular player in earlier matches of the tournament might also increase their chances in the eyes of traders. Unexpected announcements or expert analysis could also contribute to price movements, as traders react to new information and adjust their predictions accordingly.