TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 6, 11:39 AM EST
Polymarket
This prediction market group focuses on various spread and over/under outcomes for the FIFA International Friendlies match between China PR and Tajikistan. Markets cover point spreads for both teams, total goals scored (over/under lines), and scoring scenarios in both the full match and individual halves.
More markets for the FIFA International Friendlies game, scheduled for October 6 at 7:35 AM ET.
More markets for the FIFA International Friendlies game, scheduled for October 6 at 7:35 AM ET.
Prediction market odds, like those found for this market, often differ from traditional sportsbook odds due to the incentive structures and information aggregation methods. Sportsbooks set lines to balance action and ensure profit, while prediction markets allow users to directly express their beliefs. This can lead to more accurate probabilities, especially when a significant amount of volume is traded. The wisdom of the crowd often incorporates information not readily reflected in sportsbook lines, such as team morale or subtle player conditions. Therefore, this market can provide a valuable alternative perspective for informed bettors.
Prices for this market may differ between Polymarket and Predict due to variations in user base, trading activity, and risk appetite. 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. Each platform attracts different types of traders, leading to varying interpretations of the available information. Furthermore, the liquidity and volume on each platform can influence price discovery. While both platforms aim to reflect the true probability of an outcome, these factors can create temporary discrepancies in pricing. These differences represent opportunities for arbitrage, as traders attempt to capitalize on price inefficiencies across venues.