TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 5, 2:00 PM EST
Kalshi
This market tracks the likelihood of a draw in the FIFA International Friendly soccer match between Rwanda and Kenya. Currently, the aggregated consensus across Polymarket, Predict, and Kalshi indicates a 100.0% probability that the game will end in a draw. Resolution will be based on the official result reported by https://www.fifa.com. Keep an eye on the match itself, scheduled for October 5, 2026, as the final outcome will determine market settlement.
This event is for the upcoming FIFA International Friendlies game, scheduled for Monday, October 5, 2026 between Rwanda and Kenya.
The markets resolve based on the result of the Rwanda vs Kenya professional international friendly soccer match originally scheduled for October 5, 2026, after 90 minutes plus stoppage time. A 'Yes' outcome for either Rwanda or Kenya occurs if that respective team wins the match within this timeframe. If the match ends in a tie after the same period, 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 regulation time results and do not account for extra time or penalty shootout outcomes.
This event is for the upcoming FIFA International Friendlies game, scheduled for Monday, October 5, 2026 between Rwanda and Kenya.
Prices for this market on Polymarket and Kalshi can diverge due to several factors. 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 has its own user base, trading fees, and liquidity, which can influence price discovery. Different risk appetites among traders on each platform also contribute to price discrepancies. Furthermore, the specific question wording on each platform, even if addressing the same underlying event, can lead to differing interpretations and, therefore, different probabilities assigned by traders. The volume of trading on each platform also plays a role, with higher volume generally leading to more efficient price discovery.