TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 28, 9:49 PM EST
Polymarket
This group contains a comprehensive set of markets related to the Charlotte FC vs. CF Montréal MLS game on October 28th. Markets include spreads, over/under goals, and both teams to score, covering both the full game and first half. The markets are designed to predict the outcome of various aspects of the match.
More markets for the MLS game, scheduled for October 28 at 7:30 PM ET.
More markets for the MLS game, scheduled for October 28 at 7:30 PM ET.
Prediction market odds, like those found for this market, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow anyone to express their belief about the outcome. This can lead to discrepancies, as prediction markets may incorporate information not fully captured by sportsbook algorithms. However, both aim to accurately forecast the probability of events, and comparing them can be a valuable exercise for informed decision-making.
Prices for this market may differ between Polymarket and Predict due to several factors. 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. Each platform has its own user base, trading volume, and fee structure, all of which can influence price discovery. Furthermore, information access and interpretation can vary among traders on each platform. The liquidity and depth of the market on each venue also play a role; a market with higher volume tends to have tighter spreads and more accurate pricing. Differences in the types of traders participating – casual bettors versus sophisticated analysts – can also contribute to price divergence.