TOTAL VOLUME:
$154.8b
24H VOL:
$238,896,186
24H TRANSACTIONS:
2,985,204,718
OPEN INTEREST:
$1,897,934,485
408,127
Markets across
39,552
events
MATCHED EVENTS:
4,429
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 1:09 PM EST
Polymarket
This group covers markets on the outcome of a single soccer (football) match between Ipswich Town FC and Fulham FC, scheduled for October 10, 2026. Markets ask whether Ipswich Town FC or Fulham FC will win, or if the match will end in a draw.
This event is for the upcoming Premier League game, scheduled for Saturday, October 10, 2026 between Ipswich Town FC and Fulham FC.
This event is for the upcoming Premier League game, scheduled for Saturday, October 10, 2026 between Ipswich Town FC and Fulham FC.
Prediction market odds often differ from traditional sportsbook odds due to the nature of how they are determined. Sportsbooks set odds based on statistical models and expert analysis, incorporating a profit margin. In contrast, this market’s odds are driven by the collective predictions of traders who have a financial incentive to be accurate. This can lead to more efficient price discovery, particularly as more information becomes available. While sportsbooks may initially reflect public perception, prediction markets can quickly adjust to incorporate new data and insights, potentially offering a more nuanced view of the likely outcome.
Prices on Polymarket and Predict for the Ipswich vs Fulham match can diverge 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 access. Polymarket may have more sophisticated traders, while Predict might have a broader, less experienced audience. Differences in trading fees, market-making activity, and the specific types of questions offered on each platform also contribute to price discrepancies. Furthermore, differing liquidity levels can amplify these effects, leading to noticeable spread differences.