TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 2:11 PM EST
Polymarket
This group contains a comprehensive set of markets related to the Serie A match between SSC Napoli and AS Roma, covering various spread and over/under bets. Markets range from simple win margins to total goals scored, both for the entire match and specific halves.
More markets for the Serie A game, scheduled for October 24 at 12:00 PM ET.
More markets for the Serie A game, scheduled for October 24 at 12:00 PM ET.
Prediction market odds, like those found on Polymarket and Predict for this market, often reflect the collective wisdom of a diverse group of traders. This can lead to probabilities that differ from traditional sportsbooks, which may be influenced by factors like house bias or initial public perception. Sportsbooks set odds based on their own models and risk assessment, while prediction markets aggregate the opinions of many individuals. Discrepancies can create arbitrage opportunities for informed traders, and often prediction markets are more accurate than traditional odds, especially closer to the event date. This market provides a unique perspective on the likely outcome of the Napoli vs. Roma match.
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. The differing prices on Polymarket and Predict for this market stem from several factors. Each platform attracts a different user base with varying levels of expertise and information. Polymarket may have a higher concentration of soccer enthusiasts, while Predict might draw more general prediction market participants. Additionally, the liquidity and trading volume on each platform can influence price discovery. Different market designs and fee structures can also contribute to price discrepancies. These variations are normal and represent the dynamic nature of decentralized prediction markets, offering opportunities for traders to exploit perceived mispricings related to the Napoli vs. Roma match.
Several signals could significantly impact this market. Any news regarding player injuries, team formations, or changes in coaching strategy for either Napoli or Roma could shift predictions. Unexpected weather conditions on match day could also influence the outcome and, consequently, the market. Major upsets in other related matches or changes in overall team performance leading up to the game could also cause traders to reassess their positions, leading to price fluctuations in this market.