TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 28, 9:54 PM EST
Polymarket
This group contains a comprehensive set of markets related to the Inter Miami CF vs. FC Cincinnati MLS game, covering various spread and over/under bets. Markets range from predicting the win margin to total goals scored, both for the entire game and for specific halves.
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 on Polymarket and Predict, often differ from traditional sportsbook odds due to the differing incentives of participants. Sportsbooks aim to profit by setting lines that attract balanced betting, while prediction market participants are incentivized to accurately forecast the outcome. This can lead to prediction markets reflecting a more accurate probability assessment, especially as more information becomes available. However, sportsbook odds are readily accessible and often influence initial pricing in these markets. The volume of $303,006 suggests growing interest in this market, potentially influencing price discovery.
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 diverge due to variations in user base, market design, and trading volume. Polymarket might attract a different demographic of traders with specific expertise, while Predict could have different fee structures or liquidity provisions. Furthermore, the leading markets on each platform currently differ—Polymarket currently favors FC Cincinnati O/U 3.5 at 99 percent, while Predict leans toward Spread: FC Cincinnati (-5.5). These differences in focus and participant behavior contribute to the observed price discrepancies.