TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 4, 10:00 AM EST
Kalshi
This market tracks the outcome of the USA versus China women’s professional FIBA World Cup basketball game, scheduled for September 4, 2026. Currently, the consensus probability of USA winning is 98.4%, aggregated from Polymarket and Kalshi. The resolution source for this market is whether the USA wins the game as originally scheduled for September 4, 2026 at 8:15 AM EDT. Traders should watch the game itself on September 4, 2026, to see which team secures the victory and determine the market’s resolution.
In the upcoming FIBA Women's World Cup game, scheduled for September 4 at 8:15AM ET: If the USA win, the market will resolve to "USA". If the China win, the market will resolve to "China". 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.
The market resolves based on the winner of the China vs USA women's professional FIBA World Cup basketball game scheduled for September 4, 2026, at 8:15 AM EDT. If the USA wins, the USA market resolves to Yes; if China wins, the China market resolves to Yes. If the game is postponed but begins within 48 hours of the originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, all markets will resolve to a fair price. Kalshi is not affiliated with the Governing League, and all trademarks belong to their respective owners.
On Polymarket and Kalshi, prices can vary due to differences in user bases, liquidity, and trading activity. 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. For instance, one platform might attract more retail traders while the other sees institutional participation, skewing probabilities. Additionally, each venue has its own fee structure and market design, which can affect how traders place bets and thus influence the displayed odds.