TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 18, 7:35 AM EST
Polymarket
More markets for the Chinese Super League game, scheduled for July 18 at 7:35 AM ET.
More markets for the Chinese Super League game, scheduled for July 18 at 7:35 AM ET.
Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets let traders freely price outcomes based on their beliefs. This market aggregates the views of many independent traders rather than a single operator, which can reveal information that traditional sportsbooks have not yet priced in. Comparing the two can highlight where the crowd sees value relative to conventional betting markets, though both should be evaluated on their own merits.
On Polymarket, traders set prices by buying and selling outcome shares in an automated market maker, with each trade moving the odds based on supply and demand. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the marginal cost of the last transaction, not a consensus average. As more traders participate, prices tend to incorporate new information about team form, injuries, and other match-relevant factors. Liquidity depth determines how much you can trade at the displayed price before slippage occurs.
This market resolves around Jul 18, 2026, once the match concludes and the result is verifiable from credible public sources. The outcome will be confirmed based on the final score and official match records. Until that point, prices may fluctuate as new information emerges—team news, weather conditions, or betting patterns can all influence trader sentiment. Resolution is automatic once the event is complete and the data is confirmed.
Key catalysts include team news such as player injuries, suspensions, or lineup changes announced before kickoff. Recent form, head-to-head records, and league standings can shift trader expectations as the match date approaches. Weather conditions and venue factors may also influence perceived advantage. Social media sentiment, expert commentary, and betting action on traditional sportsbooks can prompt repricing. As match time nears, late-breaking developments—such as a key player being ruled out—often trigger sharp moves in this market.