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: Jun 27, 9:30 AM EST
Kalshi
A Chinese Super League soccer match between Henan FC and Shanghai Haigang FC (also referred to as Shanghai Port) scheduled for June 27, 2026. Three prediction markets track the outcome: whether Henan wins, Shanghai wins, or the match ends in a draw, all measured at 90 minutes plus stoppage time.
This event is for the upcoming Chinese Super League game, scheduled for Saturday, June 27, 2026 between Henan FC and Shanghai Haigang FC.
Resolution is based on the final result of the professional Chinese Super League soccer match between Henan and Shanghai Port originally scheduled for June 27, 2026, evaluated after 90 minutes plus stoppage time (excluding extra time or penalties). Each outcome—a win for Henan, a win for Shanghai Port, 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 both reflect probability, but they operate differently. Sportsbooks set odds and manage risk as the house; prediction markets let traders set prices through supply and demand. Prediction market odds often converge toward true probability because traders profit by correcting mispriced outcomes, creating a self-correcting mechanism. Sportsbooks build in margins and may adjust lines based on liability rather than pure probability. For this match, comparing prediction market prices to major sportsbook lines can reveal where one market sees value the other has missed, though both should track similar directional consensus as event time approaches.
Polymarket and Kalshi can show different odds on the same match outcome for several reasons. 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 pools, and risk appetites, so one may price a draw or a specific team's win higher than the other. Platform-specific rules, fee structures, and settlement procedures also influence how traders value positions. Additionally, timing lags mean prices diverge momentarily as new information spreads unevenly across venues. Traders exploit these gaps through arbitrage, gradually pushing prices toward alignment as the match approaches.
Several factors can shift odds before the match kicks off. Team news—injuries to key players, lineup changes, or managerial decisions—often triggers sharp price moves. Recent form, head-to-head records, and home-field advantage also influence trader sentiment. Weather conditions, travel disruptions, or last-minute venue changes can surprise the market. Social media momentum and mainstream sports coverage may sway casual traders, creating temporary volatility. As the match date nears, late-breaking roster updates or tactical announcements typically drive the largest repricing. Monitoring team social channels and sports news outlets helps you anticipate moves before they're fully reflected in odds.