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 10, 9:45 AM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between Jalandhar Warriors and Amritsar Soormas scheduled for 2026-09-07 in Sher-E-Punjab T20 League. The outcome corresponding to Jalandhar Warriors will be considered correct if the highest individual score in the match is recorded exclusively by a player from Jalandhar Warriors. The outcome corresponding to Amritsar Soormas will be considered correct if the highest individual score is recorded exclusively by a player from Amritsar Soormas. 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 Jalandhar Warriors and Amritsar Soormas scheduled for 2026-09-07 in Sher-E-Punjab T20 League. The outcome corresponding to Jalandhar Warriors will be considered correct if the highest individual score in the match is recorded exclusively by a player from Jalandhar Warriors. The outcome corresponding to Amritsar Soormas will be considered correct if the highest individual score is recorded exclusively by a player from Amritsar Soormas. 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 probability of that outcome occurring, as perceived by the market participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust dynamically, reflecting the evolving consensus. This creates a liquid and transparent market for forecasting the Sher-E-Punjab T20 top batter.
This market resolves around Sep 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The player officially declared as the ‘Top Batter’ in the Sher-E-Punjab T20 match between Jalandhar Warriors and Amritsar Soormas will determine the winning outcome. The resolution will be based on the official match results and statistics, ensuring a transparent and accurate determination of the market’s outcome. Traders should monitor official sources for confirmation of the final results.
Several factors could influence the trading activity and price movements within this market. Any news regarding player injuries, changes in team lineups, or weather conditions impacting the match could significantly shift the probabilities. Furthermore, performance in recent matches, expert analysis predicting player form, and even social media sentiment can all contribute to changes in market prices. Unexpected events during the match itself, such as a key player getting out early, could also cause rapid adjustments in the odds as traders react to the unfolding situation.