TOTAL VOLUME:
$154.8b
24H VOL:
$260,393,102
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,894,304,386
408,643
Markets across
39,771
events
MATCHED EVENTS:
4,493
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 22, 4:41 PM EST
Polymarket
This prediction group covers various spread and over/under markets for the UEFA Europa League match between Ararat-Armenia FA and AZ. Markets include point spreads, total goals scored, and whether both teams will score, both for the full match and for the first and second halves.
More markets for the UEFA Europa League game, scheduled for October 22 at 12:45 PM ET.
More markets for the UEFA Europa League game, scheduled for October 22 at 12:45 PM ET.
Prediction market odds, like those found for this market, often reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. Prediction markets, however, are driven by users who are incentivized to accurately forecast the outcome. This can lead to more efficient pricing, especially when there’s significant public information available. Discrepancies can also arise due to differing levels of liquidity and the specific markets offered – sportsbooks may not offer the same granular options as platforms like Polymarket and Predict.
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 several factors. Each platform attracts a different user base with varying expertise and information. Trading volume also plays a role; lower volume on one platform can lead to greater price volatility. Furthermore, the specific market structures and available trading limits can influence pricing. For example, Polymarket currently favors Spread: AZ (-3.5) at 99 percent, while Predict leans toward Spread: Ararat-Armenia FA (-5.5). These differences highlight how distinct communities interpret the available data and express their predictions.