TOTAL VOLUME:
$147.6b
24H VOL:
$185,329,595
24H TRANSACTIONS:
2,799,378,420
OPEN INTEREST:
$1,813,258,821
507,072
Markets across
37,953
events
MATCHED EVENTS:
2,853
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
Closed: Oct 17, 3:09 PM EST
Polymarket
This market tracks the outcome of a Premier League football match between Newcastle United FC and Aston Villa FC on October 17, 2026, specifically whether Aston Villa FC will win. Currently, the consensus probability of Aston Villa FC winning is 78.5%. This prediction aggregates data from Predict and Polymarket, and will resolve based on official statistics of the event as recognized by the Premier League. Keep an eye on the match itself on October 17, 2026, as the final result will determine resolution.
This event is for the upcoming Premier League game, scheduled for Saturday, October 17, 2026 between Newcastle United FC and Aston Villa FC.
This event is for the upcoming Premier League game, scheduled for Saturday, October 17, 2026 between Newcastle United FC and Aston Villa FC.
Prediction market odds, like those found for this market, often differ from traditional sportsbook odds due to the nature of how they are determined. Sportsbooks set odds based on their internal models and aim to profit from balancing action on both sides. Prediction markets, however, are driven by the collective opinions of traders who are incentivized to accurately forecast the outcome. This can lead to more efficient price discovery, especially as the event approaches and more information becomes available. While sportsbooks may incorporate public sentiment, this market directly reflects it through trading volume and price movements.
Numerous signals and events could influence this market before it resolves. Key player injuries or suspensions for either Newcastle United or Aston Villa would likely cause significant shifts in probabilities. Unexpected changes in team form, such as a surprising win or loss in a preceding match, could also impact trader sentiment. Even external factors like weather conditions on match day or significant managerial decisions could play a role. Any news that alters perceptions of the teams' relative strengths will be reflected in the trading activity and price movements of this market.