TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 11, 5:30 AM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between England and India scheduled for 2026-07-04 in T20 Series England vs India. This market resolves according to the finalized match statistics as published by https://www.espncricinfo.com/. The outcome corresponding to England will be considered correct if the highest individual score in the match is recorded exclusively by a player from England. The outcome corresponding to India will be considered correct if the highest individual score is recorded exclusively by a player from India. 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 England and India scheduled for 2026-07-04 in T20 Series England vs India. This market resolves according to the finalized match statistics as published by https://www.espncricinfo.com/. The outcome corresponding to England will be considered correct if the highest individual score in the match is recorded exclusively by a player from England. The outcome corresponding to India will be considered correct if the highest individual score is recorded exclusively by a player from India. 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.
Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance liability and profit margins, while prediction markets aggregate beliefs from traders risking real capital on outcomes. This market aggregates trader conviction directly, which can reveal genuine probability estimates distinct from what bookmakers offer. Comparing the two can highlight where public opinion or informed traders see value that conventional oddsmakers may have mispriced.
On Polymarket, traders set prices by buying and selling shares tied to each batter's chances of finishing as the series' top run-scorer. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a share reflects the collective belief in that outcome—higher prices mean stronger confidence. As new information emerges (form, injuries, team composition), traders adjust their positions, moving prices in real time. This continuous price discovery mechanism ensures the market reflects up-to-date expectations about who will lead the run-scoring charts.
This market resolves around Jul 11, 2026, once the T20 series between England and India concludes. The outcome is determined by identifying which player accumulated the most runs across all matches in the series. Verification occurs through credible public reporting of final statistics, ensuring clarity and fairness. Until that date, prices will fluctuate based on team news, player performance, and injury updates that influence expectations about who will finish as the leading batter.
Several catalysts can shift prices in this market significantly. Early-series performance by key batters will provide concrete data on form and confidence. Injury announcements or lineup changes can instantly alter odds for affected players. Weather conditions and pitch reports before each match influence run-scoring potential. Team momentum and match outcomes also reshape expectations—a batter's strong performance in a high-pressure game often triggers sharp price moves. Media coverage and analyst commentary can amplify or dampen conviction around particular players as the series unfolds.