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 18, 8:41 AM EST
Polymarket
This market tracks the outcome of a Serie A soccer match between Udinese Calcio and US Lecce. Currently, the consensus probability of US Lecce winning on October 18, 2026 is 99.0%, while Udinese Calcio winning has a 1.0% probability. This aggregate view combines data from Predict and Polymarket, and will resolve according to official statistics from legaseriea.it. Keep an eye on the kickoff of the match on October 18, 2026, as the final result will determine market resolution.
This event is for the upcoming Serie A game, scheduled for Sunday, October 18, 2026 between Udinese Calcio and US Lecce.
This event is for the upcoming Serie A game, scheduled for Sunday, October 18, 2026 between Udinese Calcio and US Lecce.
Prediction market odds, like those displayed for this market, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set initial lines based on statistical models and expert analysis, while prediction markets are driven by actual money at stake. This can lead to discrepancies, particularly as new information emerges or public sentiment shifts. The implied probabilities from this market may diverge from sportsbook odds due to differing levels of information aggregation and the incentives of participants. Comparing both can provide a more comprehensive view of the likely outcome.
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 often stem from variations in user base, trading activity, and perceived information advantages. Polymarket may attract a different demographic of traders compared to Predict, leading to differing interpretations of the same event data. Furthermore, the liquidity and volume on each platform can influence price discovery. While both platforms track the same Udinese vs. Lecce match, unique market dynamics on each can result in diverging probabilities. These discrepancies are a natural part of decentralized prediction markets and reflect the collective wisdom of different trading communities.