TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 9, 3:01 PM EST
Kalshi
This market tracks whether Viking FK will win their soccer match against SK Brann on October 9, 2026. Currently, the consensus probability of Viking FK winning is 100.0%, while SK Brann winning is estimated at 0.1%. This aggregated view combines data from Kalshi and Polymarket, with resolution determined by official statistics from Eliteserien.no. Keep an eye on the match itself on October 9, 2026, as the final result will determine the outcome of this market.
This event is for the upcoming Norway Eliteserien game, scheduled for Friday, October 9, 2026 between SK Brann and Viking FK.
The event resolves based on the result of the Brann vs Viking professional Eliteserien soccer match scheduled for October 9, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. If Brann wins, the 'Brann' market resolves to Yes; if Viking wins, the 'Viking' market resolves to Yes; and if the match ends in a tie, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price in accordance with the platform's guidelines. The event exclusively considers the standard match duration and does not account for any post-regulation deciding factors such as extra time, penalty shootouts, or other tie-breaking methods.
Differences in prices between Polymarket and Kalshi for this market can arise 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 all influence price discovery. Furthermore, differing levels of information available to traders on each platform, or varying interpretations of the same information, can lead to divergent probabilities. Market-specific factors, such as recent team performance or player injuries, may be weighted differently by users on each platform, contributing to price discrepancies. The volume of trading on each platform also plays a role, with higher volume generally indicating greater price efficiency.