TOTAL VOLUME:
$154.1b
24H VOL:
$172,394,893
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,821,572,886
404,136
Markets across
40,075
events
MATCHED EVENTS:
4,369
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 30, 4:57 PM EST
Kalshi
This group forecasts the outcome of a Pro A basketball game between Dijon and Nancy, scheduled for October 30th. The markets determine the winner of the game, with potential considerations for postponement or cancellation.
In the upcoming Pro A game, scheduled for October 30 at 3:00PM ET: If the Dijon win, the market will resolve to "Dijon". If the Nancy win, the market will resolve to "Nancy". 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.
If JDA Dijon Basket wins the Sluc Nancy Basket vs JDA Dijon Basket men's professional LNB Elite basketball game originally scheduled for Oct 30, 2026 at 3:00 PM EDT, then the market resolves to Yes. If Sluc Nancy Basket wins the Sluc Nancy Basket vs JDA Dijon Basket men's professional LNB Elite basketball game originally scheduled for Oct 30, 2026 at 3:00 PM EDT, then the market resolves to Yes.
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. Differences in pricing between Polymarket and Kalshi for this market can arise from several factors. Each platform attracts a different user base with varying levels of expertise and information, leading to distinct market interpretations. Trading fees, market maker strategies, and the specific mechanisms for price discovery on each platform also contribute to potential discrepancies. Furthermore, differing liquidity levels – reflected in the current volume of $33,924 – can influence price volatility and create temporary divergences. These variations are normal and reflect the dynamic nature of prediction markets.