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 19, 5:30 AM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between Gloucestershire and Glamorgan scheduled for 2026-07-12 in T20 Blast. This market resolves according to the finalized match statistics as published by https://www.espncricinfo.com/. The outcome corresponding to Gloucestershire will be considered correct if the highest individual score in the match is recorded exclusively by a player from Gloucestershire. The outcome corresponding to Glamorgan will be considered correct if the highest individual score is recorded exclusively by a player from Glamorgan. 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 Gloucestershire and Glamorgan scheduled for 2026-07-12 in T20 Blast. This market resolves according to the finalized match statistics as published by https://www.espncricinfo.com/. The outcome corresponding to Gloucestershire will be considered correct if the highest individual score in the match is recorded exclusively by a player from Gloucestershire. The outcome corresponding to Glamorgan will be considered correct if the highest individual score is recorded exclusively by a player from Glamorgan. 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 pricing models. Sportsbooks set fixed lines with built-in margins, while prediction markets like this one aggregate trader beliefs through continuous price discovery. Traders here stake real capital on outcomes, creating incentives for accuracy that can reveal sharper probability estimates than static sportsbook lines. However, sportsbooks may adjust faster during live play, and their odds are shaped by liability management rather than pure crowd wisdom. Comparing the two can highlight where public perception and market-derived probabilities align or conflict.
On Polymarket, this market is priced through an automated market maker mechanism where traders buy and sell shares representing each batter's chance of finishing as the top scorer. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective probability assigned by all active traders; as demand shifts, prices adjust in real time. Higher prices indicate stronger trader conviction that a particular player will lead the run-scoring. You can enter or exit positions at any time before the match concludes, and your trades directly influence the odds available to subsequent participants.
Several factors can shift odds in this market before it resolves. Team selection announcements and confirmed lineups will clarify which batters are eligible and likely to bat in high-scoring positions. Injury news or late withdrawals can eliminate contenders or elevate others. Pre-match weather forecasts and pitch reports may influence expectations about scoring patterns and individual player performance. Early match momentum—such as aggressive batting or quick wickets—will trigger repricing as traders update their assessments of each batter's remaining opportunity to score runs. Betting syndicate activity and social media sentiment can also accelerate price movements.