TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 5:14 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of a college football game between Mississippi State and Minnesota. Each market corresponds to a specific margin by which either team could win the first half, allowing participants to bet on various possible outcomes.
All markets resolve based solely on points scored during the first half of the Mississippi St. vs Minnesota college football game scheduled for Sep 12, 2026. A market resolves to 'Yes' if the specified team wins the first half by more than the stated point margin. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve according to the official result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants under these contingency conditions.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market is driven by individuals willing to put their capital behind their beliefs. It’s common to see initial discrepancies between the two, as sportsbooks may incorporate factors like public betting biases. Over time, the prediction market price tends to become highly efficient, incorporating a wide range of information and potentially providing a more accurate forecast.
This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the first half of the Mississippi State vs Minnesota game will be used to determine which contracts pay out. Contracts predicting the correct spread will settle at 100, while those predicting an incorrect spread will settle at 0. The resolution will be based on the official game statistics as reported by a trusted sports data provider.
Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either the Mississippi State or Minnesota teams would likely cause significant movement. Changes in weather conditions, particularly if they favor one team’s style of play, could also impact the market. Unexpected news or analysis from sports commentators or analysts could shift public perception and drive trading activity. Finally, large-volume trades on Kalshi itself can create short-term price fluctuations.