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, 10:00 AM EST
Kalshi
This event group covers a Chinese Super League soccer match between Chongqing Tonglianglong FC and Tianjin Jinmen Hu FC scheduled for June 27, 2026. Three prediction markets across Polymarket and Kalshi assess the match outcome: whether it ends in a draw, whether Tianjin wins, whether Chongqing wins, and a catch-all Kalshi market covering all three outcomes.
This event is for the upcoming Chinese Super League game, scheduled for Saturday, June 27, 2026 between Chongqing Tonglianglong FC and Tianjin Jinmen Hu FC.
Resolution is based on the final result of the professional Chinese Super League soccer match between Chongqing Tonglianglong FC and Tianjin Jinmen Tiger originally scheduled for June 27, 2026, evaluated after 90 minutes plus stoppage time (excluding extra time or penalties). Each outcome—a win for Chongqing Tonglianglong FC, a win for Tianjin Jinmen Tiger, 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 profit margin, while prediction markets rely on continuous trading between participants who stake real capital on their beliefs. This market aggregates trader-generated odds from multiple platforms, which often reflect sharper, less-biased estimates than sportsbook lines because traders face direct financial consequences. Comparing this market's odds to your preferred sportsbook can reveal value opportunities. Prediction market prices tend to adjust faster to breaking news and shift more fluidly as new information emerges, making them a useful reference point for assessing consensus probability.
Polymarket and Kalshi operate under distinct regulatory frameworks, fee structures, and user bases, which naturally creates pricing divergence. 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 traders with different risk appetites, information sets, and time horizons. Liquidity depth varies between venues, meaning large trades can move prices differently on each. Additionally, the platforms may list slightly different outcome formulations—for example, one emphasizing a draw outcome while another focuses on match winner—leading to subtle but meaningful price gaps. Arbitrage traders exploit these spreads, but friction costs and withdrawal delays often prevent full convergence, allowing discrepancies to persist.
Key catalysts include team news such as injuries to star players, managerial changes, or lineup announcements closer to kick-off. Recent form, head-to-head records, and league standings shifts will influence trader sentiment. Weather conditions and venue factors may also sway odds, particularly if either side has a notable advantage in specific conditions. Transfer activity or disciplinary suspensions announced before the match can trigger repricing. Additionally, betting market moves on major sportsbooks often lead prediction market adjustments, as professional bettors and syndicates operate across both venues. Social media sentiment and expert commentary may also prompt incremental price movements as the fixture date approaches.