TOTAL VOLUME:
$134.2b
24H VOL:
$143,246,370
24H TRANSACTIONS:
2,403,290,006
OPEN INTEREST:
$1,452,035,386
405,032
Markets across
30,543
events
MATCHED EVENTS:
2,690
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 7, 4:30 AM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between BCC Spartan and MU Plovdiv scheduled for 2026-06-30 in ECS Bulgaria. This market resolves according to the finalized match statistics as published by https://www.espncricinfo.com/. The outcome corresponding to BCC Spartan will be considered correct if the highest individual score in the match is recorded exclusively by a player from BCC Spartan. The outcome corresponding to MU Plovdiv will be considered correct if the highest individual score is recorded exclusively by a player from MU Plovdiv. 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 BCC Spartan and MU Plovdiv scheduled for 2026-06-30 in ECS Bulgaria. This market resolves according to the finalized match statistics as published by https://www.espncricinfo.com/. The outcome corresponding to BCC Spartan will be considered correct if the highest individual score in the match is recorded exclusively by a player from BCC Spartan. The outcome corresponding to MU Plovdiv will be considered correct if the highest individual score is recorded exclusively by a player from MU Plovdiv. 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 action and protect their margin, while prediction markets are driven by trader consensus and real-money conviction. For this market, prediction traders may price in nuanced team form, recent player performance, and head-to-head matchup details that sportsbooks adjust more slowly. Comparing the two can reveal where public perception differs from expert opinion, though both sources provide valuable context for assessing batter performance expectations.
On Polymarket, traders set the odds for each batter outcome through an automated market maker, where the price of a contract reflects the collective probability assigned by all participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy or sell a particular batter's contract, the price adjusts in real time, creating a continuous price discovery mechanism. Liquidity and trading volume influence how quickly prices respond to new information, so markets with deeper order books tend to reflect breaking news about player injuries or lineup changes more efficiently than thinner ones.
Several catalysts can shift odds in this market before resolution. Announced team lineups and batting order changes will immediately reprrice favorites and underdogs. Injury reports or player unavailability can eliminate contenders or elevate backup batters. Recent form data, head-to-head statistics, and pitch conditions closer to match day often trigger sharp trading. Weather forecasts and venue-specific factors like ground conditions may also influence batter performance expectations. Breaking news about team strategy or last-minute roster adjustments typically generates the most volatile price swings in the final hours.