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, 7:35 AM EST
Polymarket
This event group covers a Chinese Super League soccer match between Shanghai Shenhua FC and Tianjin Jinmen Hu FC scheduled for July 18, 2026. Markets across Polymarket and Kalshi predict the match outcome (win/loss/draw) based on the result after 90 minutes of regular play plus stoppage time, excluding extra time or penalties.
This event is for the upcoming Chinese Super League game, scheduled for Saturday, July 18, 2026 between Shanghai Shenhua FC and Tianjin Jinmen Hu FC.
This event resolves based on the final result of the professional Chinese Super League soccer match between Shanghai Shenhua and Tianjin Jinmen Tiger 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 Shanghai Shenhua, a win for Tianjin Jinmen Tiger, 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 using different mechanisms. Sportsbooks set odds based on internal models and manage risk through margin; prediction markets let traders themselves set prices through supply and demand. This often means prediction markets react faster to new information and can reflect crowd wisdom more directly. However, sportsbook odds may incorporate sharper professional analysis and tighter risk controls. Comparing the two can reveal where public sentiment diverges from professional estimates. Neither is inherently more accurate, but each offers a distinct lens on match probability.
Polymarket and Kalshi can show different prices on the same outcome due to several factors. 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, liquidity depths, and fee structures, which influence how quickly prices adjust. One venue may have more active volume or deeper order books, allowing prices to move more efficiently. Regulatory differences, platform-specific rules, and timing of information flow can also create temporary gaps. These spreads typically narrow as arbitrageurs trade across both venues, but windows of divergence offer opportunities for alert traders to spot value.
Team news—injuries, suspensions, or roster changes—often triggers sharp price moves in football markets. Tactical announcements, recent form swings, and head-to-head momentum can shift trader conviction significantly. Weather conditions and venue factors may also influence odds if they favor one side's style of play. Social media sentiment and expert commentary can amplify moves, especially if a respected analyst shifts their view. Late-breaking lineup confirmations typically cause the most volatile repricing in the final hours before kickoff. Monitoring team news feeds and live team sheets will help you anticipate where this market is headed.