TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 18, 12:36 AM EST
Polymarket
This group forecasts the halftime result of a soccer match between Sporting Kansas City and Real Salt Lake. Markets exist for Sporting Kansas City leading, a draw, or Real Salt Lake leading at halftime.
In the upcoming MLS game between Sporting Kansas City and Real Salt Lake, scheduled for October 17, 2026 at 8:30 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
In the upcoming MLS game between Sporting Kansas City and Real Salt Lake, scheduled for October 17, 2026 at 8:30 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
Prediction market odds, like those found on Polymarket and Predict, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow users to freely express their beliefs. This can lead to discrepancies, particularly when public sentiment strongly diverges from expert opinion. While sportsbooks may incorporate factors like team news and injuries, this market aggregates a broader range of information and insights from participants, potentially leading to more accurate probabilities.
Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Predict may differ due to variations in user base, trading volume, and market-specific rules. Polymarket might attract more sophisticated traders with access to specialized information, while Predict could have a broader, more casual user base. Differences in fees and liquidity can also contribute to price discrepancies. Furthermore, the way each platform handles order types and market creation can influence price discovery. These factors combine to create distinct market dynamics, even when tracking the same underlying event.