TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 28, 10:05 PM EST
Polymarket
This prediction group covers various spread and over/under markets for the New York City FC vs. Atlanta United FC MLS game on October 28th. Markets range from point spreads to total goals scored, both for the game as a whole 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 reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on models and internal risk assessments, while this market is driven by individuals incentivized to accurately forecast the outcome. This can lead to discrepancies, especially when public sentiment strongly diverges from the sportsbook's initial assessment. However, both types of odds aim to accurately represent the probability of an event occurring, and comparing them can be a valuable exercise for informed decision-making.
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. Differences in pricing between Polymarket and Predict can arise from several factors. Each platform attracts a different user base with varying levels of expertise and information. Trading volume also plays a role; lower volume on one platform can lead to greater price volatility and divergence. Furthermore, the specific market structures and fee mechanisms on each platform can influence trading behavior. For example, Polymarket currently favors New York City FC O/U 4.5 at 99%, while Predict leans toward Spread: Atlanta United FC (-5.5), illustrating how differing participant perspectives impact pricing.