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 25, 9:17 PM EST
Polymarket
This event group covers the cricket match between Zimbabwe and India scheduled for July 25, 2026, as part of the T20 Series. The markets resolve based on the official match result, toss winner, and whether the match is completed, as published by ESPNcricinfo.
This market refers to the cricket match between Zimbabwe and India scheduled for July 25 2026 in T20 Series Zimbabwe vs India. This market resolves according to the finalized match result as published by https://www.espncricinfo.com/. DLS/DRS, over-rate penalties, forfeit/walkover, or any other on-field ruling that leads the competition to declare a winner are treated as ordinary wins. If the match ends tied and the playing conditions provide an on-field tiebreak (e.g., Super Over), the winner determined by that tiebreak will be used for resolution. If the match ends tied and no on-field tiebreak is used or available under the playing conditions (e.g., group-stage ODI with no Super Over), the market will resolve 50-50. If the match is postponed/rescheduled, the market remains open until the listed fixture is completed. If the match is permanently canceled or abandoned or otherwise is completed without a winner, the market resolves 50-50. The primary resolution source for this market is the official statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 2 hours after the event's conclusion, a consensus of credible reporting may be used instead.
This market refers to the cricket match between Zimbabwe and India scheduled for July 25 2026 in T20 Series Zimbabwe vs India. This market resolves according to the finalized match result as published by https://www.espncricinfo.com/. DLS/DRS, over-rate penalties, forfeit/walkover, or any other on-field ruling that leads the competition to declare a winner are treated as ordinary wins. If the match ends tied and the playing conditions provide an on-field tiebreak (e.g., Super Over), the winner determined by that tiebreak will be used for resolution. If the match ends tied and no on-field tiebreak is used or available under the playing conditions (e.g., group-stage ODI with no Super Over), the market will resolve 50-50. If the match is postponed/rescheduled, the market remains open until the listed fixture is completed. If the match is permanently canceled or abandoned or otherwise is completed without a winner, the market resolves 50-50. The primary resolution source for this market is the official statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 2 hours after the event's conclusion, a consensus of credible reporting may be used instead.
Prediction market odds on this market often diverge from traditional sportsbook lines due to different participant dynamics and information efficiency. While sportsbooks may set prices based on broader public betting patterns and adjusted margins, prediction markets reflect the aggregated beliefs of informed traders, sometimes leading to sharper or more volatile odds, especially as new match data emerges.
On Polymarket, this market reflects trader sentiment through decentralized betting, while Predict may use different liquidity pools or user bases. Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. For the Zimbabwe vs India T20 Series market, variations in available information, regional user interest, and order-book depth can all create price gaps. Even small differences in how each platform’s community interprets recent match performance or player injuries can lead to distinct probability assessments. The way each venue handles trading fees or incentive structures also influences how users place their bets, further widening the spread between the two platforms.