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, 6:16 PM EST
Kalshi
This market tracks which team will score more points in a specific quarter of an upcoming college football game between Minnesota and Indiana. The outcome depends solely on the performance during the third quarter, regardless of the overall game result. Postponements within 48 hours of the scheduled start time do not affect the market's validity.
If Indiana wins the 3rd quarter of the Minnesota vs Indiana college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Minnesota wins the 3rd quarter of the Minnesota vs Indiana college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Minnesota vs Indiana college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds. Sportsbooks set their lines based on models and internal analysis, while this market aggregates the beliefs of many individual traders. Therefore, discrepancies can arise due to differing information or interpretations. It’s common to see prediction markets move faster to incorporate new information, such as injury reports or lineup changes, than sportsbooks. Examining both can provide a more comprehensive view of the likely outcome.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the 3rd quarter of the game between Minnesota and Indiana will be declared the winner of this market. Official game statistics from a reputable sports data provider will be used to verify the result. The outcome will be based on the official score at the conclusion of the 3rd quarter, as recorded by the league.
Several factors could significantly impact this market. Any news regarding player injuries or changes to starting lineups for either Minnesota or Indiana would likely cause price fluctuations. Unexpected performance from key players during the first half of the game could also shift market sentiment. Major in-game events, such as a significant scoring run by one team, or strategic adjustments made by the coaches, could also lead to substantial movement. Public perception and betting trends, as reflected by the volume in this market, will also play a role.