TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 1, 9:35 AM EST
Predict
This prediction market asks which basketball team, the Shanghai Sharks or the Nanjing Monkey Kings, will win their CBA game scheduled for November 1st, 2026. The market resolves based on the final score, including overtime, with a 50-50 split if the game is canceled without a reschedule.
The market resolves based on the official result of the men's professional China CBA basketball game between the Nanjing Monkey Kings and Shanghai Sharks, scheduled for November 1, 2026, at 6:35 AM EST. If either team wins the game as officially recorded, the corresponding market will resolve to Yes. Should the game be postponed but commence within 48 hours of its original scheduled start time, the market remains open and resolves according to the final official outcome. If the game is cancelled or fails to start within the 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants.
In the upcoming CBA game, scheduled for November 1 at 6:35AM ET: If the Shanghai Sharks win, the market will resolve to "Shanghai Sharks". If the Nanjing Monkey King win, the market will resolve to "Nanjing Monkey King". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods.
Prediction market odds, like those found on Kalshi and Predict, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their odds based on statistical models and expert analysis, while this market is driven by individuals willing to put their capital behind their beliefs. This can lead to discrepancies, especially when public sentiment diverges from expert opinion. It’s common to see prediction markets incorporate information faster than sportsbooks, particularly in response to breaking news or changing circumstances surrounding the game.
Prices for this market may vary between Kalshi and Predict due to several factors. Each platform has a different user base with varying levels of expertise and access to information, leading to different trading behaviors. Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Furthermore, the liquidity and trading volume on each platform can influence price discovery. Differences in platform fees and trading mechanisms can also contribute to price discrepancies. While both platforms ultimately aim to reflect the true probability of the outcome, these nuances can create temporary divergences in pricing.