TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
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All
Sports
South Korea vs. Chinese Taipei
polymarket
kalshi

What is the result of South Korea vs. Chinese Taipei?

Volume:
$134,275

Chinese Taipei

 - Kalshi

Chinese Taipei - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 3, 2026

Closed: Jul 3, 8:30 AM EST

kalshi

Kalshi

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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

Chinese Taipei

View
100%
Yes 100¢No 0¢
100¢
N/A
$47,121
N/A
N/A
$19,396
Settled
Yes
kalshi

Republic of Korea

0%
Yes 0¢No 100¢
100¢
N/A
$48,198
N/A
N/A
$23,428
Settled
No
polymarket

South Korea vs. Chinese Taipei

0%
Yes 0¢No 100¢
—
N/A
$38,956
N/A
N/A
N/A
Settled
Yes
Total markets: 3

Description

This event group covers a FIBA World Cup Qualifiers basketball game between South Korea (Republic of Korea) and Chinese Taipei scheduled for July 3, 2026 at 6:30 AM EDT. Markets on Polymarket and Kalshi are tracking the outcome of this single professional basketball match.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's market contains a logical contradiction: both possible game outcomes (Republic of Korea win or Chinese Taipei win) resolve to Yes, leaving no valid resolution path to No. This makes the market unresolvable and creates a data integrity failure.Hero tip: This is a critical flaw in Kalshi's market design. Do not trade on Kalshi. Use Polymarket exclusively, which correctly implements binary resolution (South Korea vs Chinese Taipei) with proper edge-case handling for postponements and cancellations.

Critical divergence points:

  • Polymarket: Proper binary market with three explicit outcomes: South Korea (if South Korea wins), Chinese Taipei (if Chinese Taipei wins), or 50-50 split (if game is canceled with no makeup). Postponements keep market open. Resolution based on final score including overtime.
  • Kalshi: Defective binary structure where both possible game outcomes resolve to Yes. Market resolves Yes if Republic of Korea wins AND Yes if Chinese Taipei wins, creating logical impossibility with no valid No resolution path.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

In the upcoming FIBA WCQ Asia game, scheduled for July 3 at 6:30AM ET: If the South Korea win, the market will resolve to "South Korea". If the Chinese Taipei win, the market will resolve to "Chinese Taipei". 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.

Kalshi

Resolution is based on the outcome of the Chinese Taipei vs Republic of Korea professional FIBA World Cup Qualifiers basketball game originally scheduled for July 3, 2026 at 6:30 AM EDT. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two weeks. Should the game be cancelled and not played, or rescheduled beyond two weeks, the market resolves to a fair price for each team in accordance with the rules.

Frequently asked questions

This dashboard aggregates prediction market activity for the South Korea vs. Chinese Taipei match across Polymarket and Kalshi, two leading decentralized prediction platforms. Traders on each platform independently price the outcome, creating a real-time consensus view of expected results. The combined volume and price movements reflect how the broader prediction market community assesses the matchup as new information emerges. By tracking both platforms simultaneously, you gain insight into whether consensus is building or if divergent views suggest uncertainty about the final result.

Prediction markets and traditional sportsbooks price events differently because they operate under distinct incentive structures. Sportsbooks set odds to balance their book and manage risk, often incorporating a margin. Prediction markets, by contrast, rely on trader consensus and real-money stakes, which can surface information faster and reflect true belief more directly. This market's odds may diverge from sportsbook lines, especially as event details shift or breaking news emerges. Comparing the two can reveal where smart money is positioning itself relative to conventional betting markets.

Polymarket and Kalshi attract different trader demographics, liquidity pools, and regulatory frameworks, all of which influence pricing. 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's fee structure, user interface, and settlement rules also shape how traders value outcomes. Arbitrage opportunities between the two can persist if transaction costs or withdrawal delays make it uneconomical to trade both sides simultaneously. Monitoring price gaps across platforms helps identify where conviction is strongest and where temporary mispricings may exist.

Key player injuries, roster changes, or coaching announcements can shift odds significantly. Recent head-to-head performance, tournament seeding, and home-field advantage also influence trader positioning. Media coverage highlighting team momentum or tactical adjustments may trigger repricing. Weather conditions, if relevant, and any official rule changes or format updates closer to the match date could spark volatility. Live trading often intensifies as the event approaches, with late-breaking developments driving final price discovery.