TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 9:13 PM EST
Kalshi
This market tracks which team will score more points in the second quarter of a college football game between Louisiana-Monroe and Mississippi State. It reflects the competitive dynamics of the game within a specific timeframe, focusing solely on the second quarter's performance. The outcome depends entirely on the points scored during that quarter, regardless of the overall game result.
If Mississippi St. wins the 2nd quarter of the Louisiana-Monroe vs Mississippi St. college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If Louisiana-Monroe wins the 2nd quarter of the Louisiana-Monroe vs Mississippi St. college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Louisiana-Monroe vs Mississippi St. college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the views of many individuals. It’s common to see discrepancies, especially before significant events or when new information emerges. These differences can arise due to varying levels of information, biases, or simply differing interpretations of the same data, making this market a useful comparison point to traditional betting.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each outcome. The price of a contract directly reflects the market's assessment of that outcome's likelihood. As more traders participate, the prices adjust to reflect the evolving consensus. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price movements are driven by traders reacting to news, analysis, and their own insights regarding the Louisiana-Monroe vs Mississippi St. game. This dynamic pricing mechanism aims to create a highly efficient and informative market.
This market resolves around Sep 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the second quarter of the Louisiana-Monroe vs Mississippi St. game will be declared the winner of this market. The resolution will be based on official game statistics and results, ensuring a transparent and objective determination of the outcome. Traders will then be able to claim their winnings or adjust their strategies based on the final result.
Several factors could influence trading activity in this market. Any news regarding player injuries, changes in team strategy, or even weather conditions could shift the perceived probabilities. Unexpected performance in the first quarter of the game, or even pre-game analysis highlighting a team's strengths or weaknesses, could also significantly impact prices. Public sentiment and media coverage can also play a role, as traders react to evolving narratives surrounding the Louisiana-Monroe vs Mississippi St. matchup. Monitoring these signals is key to understanding potential market movements.