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Murshidabad Kings vs Lux Shyam Kolkata Tigers
kalshi

Murshidabad Kings vs Lux Shyam Kolkata Tigers

Volume:
$6,189

Murshidabad Kings

 - Kalshi

Murshidabad Kings - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 13, 2026

Closed: Jun 13, 2:21 PM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Murshidabad Kings

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,302
N/A
N/A
$2,430
Settled
Yes
kalshi

Lux Shyam Kolkata Tigers

0%
Yes 0¢No 100¢
100¢
N/A
$2,888
N/A
N/A
$2,888
Settled
No
Total markets: 2

Description

A men's professional T20 cricket match between two teams is scheduled for June 13, 2026 at 9:30 AM EDT. Victory will go to whichever team accumulates more runs throughout the match.

Kalshi

Resolution depends on the match outcome as declared by the governing body. If the match concludes with a decisive winner, the market resolves to Yes for that 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 the match 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.

Frequently asked questions

The Murshidabad Kings vs Lux Shyam Kolkata Tigers dashboard on Kalshi tracks real-time odds and pricing for this cricket matchup. You can monitor the current implied probability for each outcome, view historical price movements, and observe trading activity. The dashboard displays 24-hour volume data at $6,189 USD, helping you gauge market liquidity and trader interest. This single-venue view lets you follow how odds shift as match details, team news, and betting patterns evolve leading up to the event.

Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-time trader sentiment rather than fixed bookmaker margins. Sportsbooks typically build in a vigorish, while prediction markets aggregate decentralized bets. For the Murshidabad Kings vs Lux Shyam Kolkata Tigers match, comparing Kalshi odds to major sportsbooks can reveal where professional and casual traders see value differently. These gaps sometimes signal sharp money moving into prediction markets ahead of the Jun 13, 2026 resolution.

On Kalshi, the Murshidabad Kings vs Lux Shyam Kolkata Tigers market is priced as a binary contract reflecting the probability of each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares at prices between 0 and 100 cents, with the implied probability derived from the current bid-ask spread. As match conditions change—injuries, weather, team form—the price adjusts to reflect updated trader expectations. Kalshi's order-book model means prices can shift rapidly during high-volume trading windows.

The Murshidabad Kings vs Lux Shyam Kolkata Tigers market resolves on Jun 13, 2026. Resolution is determined by the official result of the match as recorded by the relevant cricket authority. The market will settle once the final outcome is confirmed and verified against authoritative sources. Traders should monitor official match schedules and any postponements or rescheduling announcements that could affect the resolution timeline.

Key catalysts for Murshidabad Kings vs Lux Shyam Kolkata Tigers pricing include player injuries or absences, team roster changes, recent form and head-to-head records, and weather conditions on match day. Venue-specific factors such as pitch conditions and historical performance at the ground also influence odds. Media reports about team strategy, coaching changes, or off-field controversies can shift trader sentiment rapidly. Live match updates during the contest itself will drive final price movements as actual performance data emerges.