TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 7, 3:00 AM EST
Polymarket
This market refers to which team's player records the highest individual run total in the cricket match between Bologna and Mantova scheduled for 2026-06-30 in Coppa il Mondo T10. This market resolves according to the finalized match statistics as published by https://www.espncricinfo.com/. The outcome corresponding to Bologna will be considered correct if the highest individual score in the match is recorded exclusively by a player from Bologna. The outcome corresponding to Mantova will be considered correct if the highest individual score is recorded exclusively by a player from Mantova. 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 Bologna and Mantova scheduled for 2026-06-30 in Coppa il Mondo T10. This market resolves according to the finalized match statistics as published by https://www.espncricinfo.com/. The outcome corresponding to Bologna will be considered correct if the highest individual score in the match is recorded exclusively by a player from Bologna. The outcome corresponding to Mantova will be considered correct if the highest individual score is recorded exclusively by a player from Mantova. 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 lock in profit margins, while prediction markets aggregate decentralized trader beliefs through continuous price discovery. This market may show materially different implied probabilities than major sportsbooks, particularly as new information emerges or if one venue attracts more informed volume. Comparing both can reveal where consensus is strongest.
On Polymarket, traders set prices by buying and selling shares that represent each outcome, with the share price reflecting the collective probability estimate. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current market reflects strong conviction around one outcome, though prices remain dynamic and can shift sharply if new match intelligence surfaces or trading patterns change. Liquidity depth and recent order flow both influence how quickly prices adjust to breaking news or strategic trades.
This market resolves around Jul 7, 2026, once the Coppa il Mondo T10 match between Bologna and Mantova concludes and the top batter is verified against credible public sources. The outcome is determined by official match records and confirmed through widely reported sporting data. Until that point, prices will fluctuate based on team news, player form, and live match developments that traders believe will influence the final result.
Key catalysts include team roster announcements, injury updates to star batters, recent form and head-to-head statistics, and weather or pitch conditions on match day. Live match action—such as early wickets, aggressive batting, or momentum shifts—will drive sharp repricing as traders update their probability estimates in real time. Pre-match commentary from analysts and betting syndicates can also trigger volume spikes if they highlight overlooked factors or consensus shifts in batter performance expectations.