TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 11:30 PM EST
Kalshi
The event involves a college football game between two teams where the focus is on whether either team scores through a defensive or special teams play. This includes any touchdown scored by returning an interception, fumble, kickoff, punt, or other special teams play. The outcome hinges solely on whether such a scoring method occurs during the match.
If Missouri and Mississippi St. collectively record at least 1 defensive or special teams touchdown in the Missouri vs Mississippi St. college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market is driven by individuals expressing their beliefs about the probability of a defensive or special teams touchdown. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the teams' capabilities. It's common to see prediction markets move independently of sportsbook lines, especially as new information emerges.
This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether a defensive or special teams touchdown is officially recorded during the Missouri vs Mississippi State football game. The final score and game statistics will be used to determine if a touchdown was scored by either team's defense or special teams unit. The outcome will be based on official game results and not subject to individual interpretation.
Several factors could influence the price of this market. Any news regarding key defensive players for either team, such as injuries or suspensions, could significantly shift expectations. Changes in weather forecasts, particularly if they suggest conditions favorable for turnovers or special teams plays, might also impact trading activity. Additionally, in-game performance during the first half of the game, such as a quick turnover or a blocked punt, could lead to substantial price movements as traders react to unfolding events. Overall team performance and offensive tendencies can also play a role.