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 5, 1:40 PM EST
Kalshi
This event group determines which team's player records the highest individual batting score in the T20 Blast cricket match between Glamorgan and Worcestershire scheduled for July 5, 2026. The markets track the top batter outcome across two platforms with fundamentally different resolution criteria.
This market refers to which team's player records the highest individual run total in the cricket match between Glamorgan and Worcestershire scheduled for 2026-07-05 in T20 Blast. This market resolves according to the finalized match statistics as published by https://www.espncricinfo.com/. The outcome corresponding to Glamorgan will be considered correct if the highest individual score in the match is recorded exclusively by a player from Glamorgan. The outcome corresponding to Worcestershire will be considered correct if the highest individual score is recorded exclusively by a player from Worcestershire. 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.
Resolution depends on the match outcome. If an official winner is declared by the governing body, the market resolves Yes for the winning team. If the match ends in a tie, draw, no result, abandonment, or cancellation with no official winner declared, all markets resolve to $0.50. Forfeits, disqualifications, or concessions occurring before play begins result in $0.50 resolution; if they occur after play has begun and an official winner is declared, the market resolves based on that result. If play begins but insufficient play occurs to determine an official result, all markets resolve to $0.50.
Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance liability and extract a margin, while prediction markets aggregate decentralized trader bets with real financial stakes. This market may show tighter or wider spreads than sportsbooks depending on liquidity and trader conviction. Prediction markets can sometimes price events more efficiently when they attract specialists with deep domain knowledge, though sportsbooks benefit from professional risk management. Comparing both sources helps you identify value and understand where consensus is strongest.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform operates under distinct regulatory frameworks, fee structures, and user bases, which can produce temporary price gaps. Kalshi and Polymarket may attract traders with different risk appetites or information sets, leading to divergent odds on the same outcome. Liquidity depth varies between venues—lower volume on one platform can amplify price swings and create arbitrage opportunities. Settlement rules and dispute resolution procedures also differ, potentially influencing how traders price tail risks. These differences typically narrow as the event date approaches and informed traders exploit mispricings.
Player injury announcements or late team lineup changes can dramatically shift odds, especially if a leading batter is ruled out or upgraded. Recent form data—runs scored in preceding matches, strike rates, and head-to-head records—often triggers repricing as traders update their models. Pitch reports and weather forecasts released closer to match day influence expectations around scoring conditions and player suitability. Betting syndicate activity and sharp money flowing into one side can signal informed conviction and move prices sharply. Venue-specific factors like ground dimensions and boundary placement also matter, particularly if either team has a historical edge at the ground.