TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 18, 3:11 AM EST
Kalshi
This group forecasts the outcome of a K League 1 soccer match between Jeonbuk Hyundai Motors FC and Jeju SK FC on October 18, 2026. Markets exist for Jeonbuk winning, Jeju SK winning, and the game ending in a draw.
This event is for the upcoming K-League game, scheduled for Sunday, October 18, 2026 between Jeonbuk Hyundai Motors FC and Jeju SK FC.
The event resolves based on the full-time result of the Jeonbuk vs Jeju SK professional Korea K League 1 soccer match scheduled for October 18, 2026, after 90 minutes plus stoppage time. A 'Yes' outcome occurs if the specified team wins the match within regular time. If the match ends in a tie after regular time, the 'Tie' market resolves to 'Yes.' If the game is cancelled or rescheduled to more than 48 hours beyond the original date, the market will resolve to a fair price following the platform's guidelines. The event exclusively considers the result after regular time and does not include extra time or penalty shootouts.
Prediction market odds, like those found for this market, often reflect a wisdom-of-the-crowd effect, potentially offering a more accurate forecast than traditional sportsbooks. Sportsbooks set lines to balance action and ensure profit, while prediction markets incentivize participants to express their true beliefs. Differences can arise due to varying levels of information aggregation and market participants. It’s common to see prediction markets move more efficiently in response to new information, especially as the event approaches. Comparing the implied probabilities from both sources can reveal valuable insights.
Prices on Polymarket and Kalshi for this market 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 dynamics, and fee structures, which can influence price discovery. Differences in liquidity – the amount of volume traded – can also lead to price discrepancies. Furthermore, differing opinions and information available to traders on each platform contribute to variations in assessed probabilities. These factors create opportunities for arbitrage, where traders attempt to profit from price differences across venues.