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%

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Nantong Zhiyun vs Guangxi Hengchen FC
kalshi

What is the result of Nantong Zhiyun vs Guangxi Hengchen FC?

Volume:
$199,658

Guangxi Hengchen FC

 - Kalshi

Guangxi Hengchen FC - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 18, 2026

Closed: Sep 18, 9:26 AM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Guangxi Hengchen FC

View
100%
Yes 100¢No 0¢
100¢
N/A
$71,739
N/A
N/A
$44,869
Settled
Yes
kalshi

Nantong Zhiyun

0%
45%
Yes 0¢No 100¢
100¢
N/A
$84,521
N/A
N/A
$41,022
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
100¢
N/A
$43,398
N/A
N/A
$28,132
Settled
No
Total markets: 3

Description

This event focuses on a professional China League 1 soccer game between Nantong Zhiyun and Guangxi Hengchen FC. The resolution hinges on which team wins during regular time, with a tie having its own resolution path.

Kalshi

The market resolves based on the result of the Nantong Zhiyun vs Guangxi Hengchen FC professional China League 1 soccer game scheduled for Sep 18, 2026, after 90 minutes plus stoppage time. If Nantong Zhiyun wins, that market resolves to Yes. If Guangxi Hengchen FC wins, that market resolves to Yes. If the game ends in a tie, the Tie market resolves to Yes. If the game is cancelled or rescheduled to over 48 hours away, all markets will resolve to a fair price.

Frequently asked questions

On Kalshi, the dashboard for the Nantong Zhiyun vs Guangxi Hengchen match tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes changes over time, as well as the total volume traded in this market. Currently, the 24-hour volume is $181,525 and the total volume is $199,658. This allows you to gauge market interest and how traders are positioning themselves ahead of the event. The dashboard provides a real-time view of the market's activity.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market relies on individuals freely expressing their beliefs. This can lead to discrepancies, particularly when public sentiment strongly deviates from the sportsbook's initial assessment. It’s common to see prediction markets incorporate new information and adjust more rapidly than traditional odds, especially as the event approaches and more information becomes available.

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 current expectation of that outcome's probability. As more traders participate, the prices adjust to reflect the collective assessment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading volume influence how quickly prices respond to new information. Traders aim to profit by identifying discrepancies between their own beliefs and the market price, effectively betting on their predictions.

This market resolves around Sep 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 Nantong Zhiyun vs Guangxi Hengchen match, as reported by official sports sources. The platform will verify the result against these sources to determine the winning outcome and settle the market accordingly. Traders holding contracts corresponding to the winning outcome will receive a payout, while those holding contracts on losing outcomes will not.

Several factors could influence the price of this market. Any news regarding team injuries, changes in coaching staff, or unexpected player suspensions could significantly shift expectations. Match previews and expert analysis released by sports commentators could also impact trading activity. Furthermore, real-time updates during the match itself, such as early goals or red cards, would likely cause rapid price movements. Overall team performance in recent games and any shifts in public sentiment surrounding the teams could also contribute to changes in this market.