TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Beijing Ducks vs Jilin Northeast Tigers
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What is the result of Beijing Ducks vs Jilin Northeast Tigers?

Volume:
$86,661

Beijing Ducks

 - Kalshi

Beijing Ducks - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 9:44 AM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Beijing Ducks

View
100%
12%
Yes 100¢No 0¢
—
N/A
$44,784
N/A
N/A
$21,280
Settled
Yes
kalshi

Jilin Northeast Tigers

0%
13%
Yes 0¢No 100¢
—
N/A
$41,877
N/A
N/A
$15,082
Settled
No
Total markets: 2

Description

This market tracks the outcome of a professional basketball game between two teams competing in China's top league. The event will determine which team secures a victory in their scheduled match. Outcomes are based on the official game result, with specific guidelines for postponements and cancellations.

Kalshi

If Jilin Northeast Tigers wins the Beijing Ducks vs Jilin Northeast Tigers men's professional China CBA basketball game originally scheduled for Oct 18, 2026 at 7:35 AM EDT, then the market resolves to Yes. If Beijing Ducks wins the Beijing Ducks vs Jilin Northeast Tigers men's professional China CBA basketball game originally scheduled for Oct 18, 2026 at 7:35 AM EDT, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Chinese Basketball Association market tracks the current odds for each possible outcome, a price history showing how those odds have changed over time, and the 24-hour trading volume. Currently, the total volume for this market is $86,661, with $86,485 traded in the last 24 hours. This allows participants to monitor market sentiment and activity related to the Beijing Ducks versus Jilin Northeast Tigers matchup. The dashboard provides a real-time view of how traders are assessing the probabilities of each team winning.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from those set by sportsbooks. Sportsbooks typically set initial lines based on statistical models and expert analysis, while this market allows anyone to express their view, leading to adjustments based on new information or changing sentiment. It’s common to see discrepancies, especially as new developments emerge. Examining these differences can be insightful, as the market may incorporate factors not fully captured by traditional oddsmakers. The current dynamics of this market could offer a different perspective than conventional betting options.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market’s probability assessment of that outcome occurring. As more traders buy contracts for a particular team, the price increases, indicating a higher perceived chance of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform uses a mechanism to ensure that the prices converge towards a fair value based on supply and demand. This dynamic pricing allows for real-time adjustments based on the collective intelligence of the traders participating in this market.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Beijing Ducks versus Jilin Northeast Tigers game, as reported by the Chinese Basketball Association. The winning team, as determined by the official game score, will be the outcome reflected in the market’s resolution. Traders who correctly predicted the winner will receive a payout based on the final market prices at resolution. The outcome will be publicly available following the conclusion of the game.

Several factors could influence trading activity in this market. News regarding player injuries, changes in team lineups, or coaching decisions could all significantly shift expectations. Unexpected performance in previous games, or even pre-game analysis from sports commentators, could also impact the odds. Furthermore, any significant external factors affecting team morale or travel arrangements might be considered by traders. Monitoring these signals and events can help to understand the potential movement of this market as it approaches its resolution date. Any late-breaking news could lead to substantial price fluctuations.