TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 27, 7:00 AM EST
Polymarket
This event group covers a Chinese Super League soccer match between Liaoning Tieren FC and Shandong Taishan FC scheduled for June 27, 2026. Three prediction markets across Polymarket and Kalshi track the outcome: whether Liaoning wins, whether Shandong wins, and whether the match ends in a draw. All markets resolve based on the official result after 90 minutes of regular play plus stoppage time.
This event is for the upcoming Chinese Super League game, scheduled for Saturday, June 27, 2026 between Liaoning Tieren FC and Shandong Taishan FC.
Resolution is based on the final result of the professional Chinese Super League soccer match between Liaoning Tieren and Shandong Taishan originally scheduled for June 27, 2026, evaluated after 90 minutes plus stoppage time (excluding extra time or penalties). Each outcome—a win for Liaoning Tieren, a win for Shandong Taishan, or a tie—resolves its corresponding market to Yes based on the actual match result. If the game is cancelled or rescheduled to more than two weeks away, 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 to balance liability and extract margin, while prediction markets rely on trader supply and demand to discover prices. Prediction market odds often reflect longer-term sentiment and can diverge from sportsbook lines, especially when retail or institutional traders have strong convictions. Comparing the two can reveal mispricing: if this market's implied probability differs significantly from a sportsbook's, it may signal an edge. Both sources are useful for triangulating true probability.
Polymarket and Kalshi serve different trader bases, liquidity pools, and fee structures, which naturally produces price variation. 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. Platform-specific factors—such as user demographics, order flow timing, and market-making activity—can cause one venue to lead or lag the other. Additionally, each platform may weight recent news or team updates differently, or attract traders with distinct risk appetites. Monitoring both helps you identify which platform is pricing in the latest information and where liquidity is deepest for your trade size.
Key catalysts include team news—injuries to star players, managerial changes, or roster updates—that shift perceived strength. Recent form, head-to-head history, and league standings can trigger repricing as traders reassess win probability. Betting market moves on external sportsbooks may flow into prediction markets, especially if sharp action emerges. Weather conditions, venue factors, and pre-match press conferences can also move odds. Monitor social media, team announcements, and injury reports closely, as even minor roster changes can shift this market significantly in the final days.