TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 10, 7:35 AM EST
Polymarket
More markets for the Chinese Super League game, scheduled for July 10 at 7:35 AM ET.
More markets for the Chinese Super League game, scheduled for July 10 at 7:35 AM ET.
Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets are driven purely by trader belief and financial risk. This market aggregates the views of thousands of independent forecasters with real money at stake, which can reveal information gaps or consensus blind spots that sportsbooks may not yet price in. Comparing the two can highlight where smart money disagrees with conventional betting lines.
On Polymarket, traders set prices by buying and selling outcome shares in an automated market maker system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share represents a claim on one possible result, and the price of that share reflects the probability the market assigns to it occurring. As new information emerges or trader sentiment shifts, prices adjust in real time. The more capital flowing into a particular outcome, the higher its price climbs, and vice versa. This continuous repricing mechanism ensures the market stays responsive to breaking news and evolving expectations.
This market resolves around Jul 10, 2026, once the match concludes and the result is verifiable from credible public sources. The outcome will be confirmed based on the official final score and result reported by recognized sports authorities. Until that point, traders can continue to buy and sell shares as new information and analysis emerge. Resolution is automatic once the event data is confirmed, ensuring all positions settle fairly and transparently.
Team news—injuries, roster changes, or tactical shifts—can significantly alter market prices as traders reassess competitive balance. Recent form, head-to-head records, and league standings provide context that may shift expectations. Weather conditions, travel schedules, and rest days before the match can also influence outcomes. Major announcements from either club, coaching changes, or unexpected player absences will likely trigger sharp price movements. As the match date approaches, late-breaking developments and final team lineups typically drive the most volatile trading activity.