TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 6, 8:47 PM EST
Polymarket
This group covers various markets related to the total number of corner kicks taken in the UEFA Nations League match between Albania and San Marino on October 6, 2026. Markets include over/under bets on the total corners, corners in specific halves, and corners taken by individual teams. Resolution relies on official statistics, with fallback sources specified.
Total corners markets for the UEFA Nations League game between Albania and San Marino, scheduled for October 6, 2026 at 2:45 PM ET.
Total corners markets for the UEFA Nations League game between Albania and San Marino, scheduled for October 6, 2026 at 2:45 PM ET.
Prediction market odds, like those found for this market, often reflect a different kind of information than traditional sportsbook odds. Sportsbooks set lines based on models and public betting patterns, aiming to balance their risk. Prediction markets, however, aggregate the knowledge and insights of a diverse group of traders who are incentivized to accurately forecast the outcome. This can lead to prediction market prices being more efficient, particularly when there's a lot of specialized knowledge available. While discrepancies can occur, the collective intelligence often results in probabilities that are competitive with, or even outperform, those offered by sportsbooks.
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 can diverge due to several factors. Each platform has its own user base, trading dynamics, and risk appetite. Polymarket might attract more sophisticated traders with specific expertise in football statistics, while Predict could have a broader, more general audience. Differences in trading fees, market-making activity, and even the time of day can also contribute to price discrepancies. Furthermore, varying levels of liquidity on each platform can influence how quickly prices react to new information.