TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 12:40 PM EST
Polymarket
This group covers markets on the outcome of a single soccer (football) match between Fulham FC and Hull City AFC on October 17, 2026. Markets ask whether Fulham will win, Hull City will win, or the match will end in a draw.
This event is for the upcoming Premier League game, scheduled for Saturday, October 17, 2026 between Fulham FC and Hull City AFC.
This event is for the upcoming Premier League game, scheduled for Saturday, October 17, 2026 between Fulham FC and Hull City AFC.
Prediction market odds, like those displayed for this market, often differ from traditional sportsbook odds due to the nature of how they are formed. Sportsbooks set odds based on statistical models and expert analysis, aiming to balance risk and profit. In contrast, prediction markets are driven by the collective intelligence of traders who are incentivized to accurately forecast the outcome. This can lead to more efficient price discovery, particularly as more information becomes available. While sportsbooks may incorporate public sentiment, this market directly reflects it through trading volume and price movements.
Prices for this market on Polymarket and Predict may differ due to several factors. 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 a different user base with varying risk appetites and information sets, which can lead to differing opinions on the likelihood of outcomes. Additionally, trading volume and liquidity can vary significantly between the two platforms, impacting price discovery. The specific market design and available trading pairs on each platform can also contribute to price discrepancies. These differences are normal and reflect the dynamic nature of prediction markets.