TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 4:16 PM EST
Polymarket
This event is for the upcoming League One game, scheduled for Saturday, October 31, 2026 between Peterborough United FC and Luton Town FC.
This event is for the upcoming League One game, scheduled for Saturday, October 31, 2026 between Peterborough United FC and Luton Town FC.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on statistical models and expert analysis, while this market allows anyone to trade on their beliefs, potentially leading to more accurate probabilities as new information emerges. It’s common to see discrepancies, especially before the event, as the market incorporates a broader range of perspectives than a single sportsbook might. Comparing the two can provide a valuable insight into public perception versus professional analysis.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Peterborough vs. Luton match, as reported by a widely recognized sports data provider. The platform will verify the final score and determine the winning outcome based on this information. Traders holding shares in the winning outcome will be entitled to a payout, while those holding shares in losing outcomes will not.
Several factors could influence the price movement of this market. Any news regarding team injuries, changes in player lineups, or unexpected weather conditions could significantly shift trader sentiment. Additionally, pre-match analysis from sports commentators, updated betting odds from sportsbooks, and even social media discussions can all contribute to price fluctuations. A surprising announcement about a key player's availability, for example, could lead to a rapid reassessment of probabilities and a corresponding change in the market’s price.