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 24, 12:05 PM EST
Polymarket
This event is for the upcoming Ligue 2 game, scheduled for Saturday, October 24, 2026 between Dijon Football Côte d'Or and Rodez Aveyron Football.
This event is for the upcoming Ligue 2 game, scheduled for Saturday, October 24, 2026 between Dijon Football Côte d'Or and Rodez Aveyron Football.
Often, prediction market odds reflect a different set of information and incentives than those found at traditional sportsbooks. Sportsbooks typically incorporate a 'vig' or commission into their odds, while this market aims to represent the true probability of an outcome as determined by traders. Polls and analysts currently suggest a close match, but this market provides a unique perspective based on real money at stake. Discrepancies can arise due to differing opinions, information access, or risk appetite between market participants and sportsbook operators.
This market resolves around Oct 24, 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 Dijon vs. Rodez football match, as reported by a recognized sports data provider. Traders will be able to claim their winnings or fulfill their obligations based on the final result. It’s important to monitor the event closely as the resolution date approaches to understand any potential factors that could influence the final outcome.
Several factors could influence trading activity in this market before Oct 24, 2026. Unexpected injuries to key players on either team, changes in weather conditions, or even significant news regarding team morale could all shift trader sentiment. Any updates regarding team lineups or tactical approaches are also likely to move the market. Furthermore, large trades by influential market participants could create short-term price fluctuations, and any new information regarding the teams' performance could alter the perceived probabilities of different outcomes.