TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 18, 9:01 AM EST
Kalshi
This event group covers a Chinese Super League soccer match between Chongqing Tonglianglong FC and Zhejiang Zhiye FC scheduled for July 18, 2026. Three binary markets on Polymarket ask about a Chongqing win, a draw, and a Zhejiang win respectively, while Kalshi offers a single three-outcome market covering all possible results (Chongqing win, Zhejiang win, or tie).
This event is for the upcoming Chinese Super League game, scheduled for Saturday, July 18, 2026 between Chongqing Tonglianglong FC and Zhejiang Zhiye FC.
This event resolves based on the final result of the professional Chinese Super League soccer match between Chongqing Tonglianglong FC and Zhejiang Prof. scheduled for July 18, 2026, evaluated at the conclusion of 90 minutes plus stoppage time. The resolution excludes extra time and penalties. The match result is classified into three mutually exclusive outcomes: a win for Chongqing Tonglianglong FC, a win for Zhejiang Prof., or a tie. If the match ends in a draw after regulation time, the Tie outcome resolves to Yes. In the event the match is cancelled or rescheduled to a date more than two weeks away from the original July 18 date, the market will resolve to a fair price in accordance with the rules.
Prediction markets and traditional sportsbooks price outcomes differently. Sportsbooks set odds to balance their book and lock in margin; prediction markets reflect live trader consensus, updating continuously as new information emerges. Prediction market prices often react faster to breaking news, team injuries, or lineup changes because they're driven by decentralized participant conviction rather than a single operator's risk model. Over time, prediction markets have proven competitive with or more accurate than sportsbook lines on major sports events, though liquidity and volume vary by platform and event.
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 attracts different trader demographics, fee structures, and regulatory frameworks, leading to natural pricing variation. Polymarket and Kalshi may also have distinct liquidity pools and user bases with different information access or risk appetites. Arbitrage traders typically exploit these gaps, but temporary spreads persist due to withdrawal delays, platform-specific fees, or regional trader concentration. Monitoring both venues helps you identify which platform is pricing this match more efficiently and where edge may exist.
Key injury announcements, lineup changes, or managerial decisions can shift odds significantly in the days before kickoff. Recent form, head-to-head records, and weather conditions at the venue also influence trader positioning. Major roster updates or unexpected withdrawals by star players often trigger sharp repricing across both platforms. Monitor team social media, official league announcements, and sports news outlets for developments that could alter perceived match probabilities. Late-breaking tactical shifts or venue changes, though rare, can create sudden volatility in this market.