TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 6, 12:30 PM EST
Kalshi
This group forecasts the outcome of a soccer match between India and Uruguay scheduled for October 6, 2026. Markets exist for India winning, Uruguay winning, and the game ending in a draw. All platforms specify resolution based on the official result within 90 minutes plus stoppage time.
This event is for the upcoming FIFA International Friendlies game, scheduled for Tuesday, October 6, 2026 between India and Uruguay.
The markets resolve based on the result of the India vs Uruguay professional international friendly soccer match scheduled for October 6, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. A 'Yes' outcome for the India market occurs if India wins the match within regulation time. Similarly, a 'Yes' outcome for the Uruguay market occurs if Uruguay wins within regulation time. The Tie market resolves to 'Yes' if the match concludes with an equal score after regulation time. If the match ends in a tie, only the Tie market resolves to 'Yes.' Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform rules. The markets exclusively consider the result after 90 minutes plus stoppage time and do not account for outcomes determined during extra time or penalty shootouts.
This event is for the upcoming FIFA International Friendlies game, scheduled for Tuesday, October 6, 2026 between India and Uruguay.
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 can arise from several factors. These platforms have different user bases, trading incentives, and liquidity levels, all of which can influence how probabilities are assessed. Furthermore, the specific market structures on each platform—such as trading fees or maximum bet sizes—may contribute to price discrepancies. While both platforms address the same question regarding the India vs. Uruguay match, the differing dynamics can lead to variations in the perceived probabilities reflected in the market prices.