TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 28, 3:37 PM EST
Polymarket
This market tracks the probability of over/under 1.5 goals being scored in the Serie A match between Venezia FC and FC Internazionale Milano. Currently, the consensus probability of Venezia FC vs. FC Internazionale Milano: O/U 1.5 is 99.0%. This aggregate reflects predictions from Predict and Polymarket, and will resolve based on the official final score reported by legaseriea.it. Keep an eye on the match itself, as resolution will occur following the 90-minute + stoppage time window on October 28, 2026.
More markets for the Serie A game, scheduled for October 28 at 1:30 PM ET.
More markets for the Serie A game, scheduled for October 28 at 1:30 PM ET.
Prediction market odds, like those found on Polymarket and Predict, often differ from traditional sportsbook odds due to the underlying mechanisms. Sportsbooks set odds to ensure profitability, incorporating a margin, while prediction markets are driven by supply and demand. This market’s odds reflect what users believe will happen, creating a more organic price discovery process. Generally, prediction markets can offer more competitive odds, particularly when there is significant trading volume, and can sometimes provide an earlier indication of expected outcomes than sportsbooks. However, sportsbooks often have limits on bet sizes that prediction markets may not.
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. Price discrepancies 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; a market with low volume on one platform may be more susceptible to price swings. Furthermore, the specific types of markets offered and the features of each platform can influence trading behavior. For example, Polymarket might have a greater concentration of traders specializing in soccer, while Predict may attract a broader audience. These differences contribute to the observed price variations.