TOTAL VOLUME:
$147.6b
24H VOL:
$185,329,595
24H TRANSACTIONS:
2,799,378,420
OPEN INTEREST:
$1,813,258,821
507,072
Markets across
37,953
events
MATCHED EVENTS:
2,853
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
Closed: Oct 17, 3:44 PM EST
Polymarket
This market tracks the outcome of the Mississippi State versus LSU college football game, specifically whether LSU will cover the -0.5 spread. Currently, the consensus probability of LSU covering is 100.0%, aggregated from Polymarket and Kalshi. Resolution will be based on the final game results reported by https://www.ncaa.com/. Keep an eye on the game itself, scheduled for October 17th, as the final score will determine the market’s outcome.
In the upcoming college football game between Mississippi State and LSU, scheduled for October 17 at 12:00PM ET: This market will resolve to "Mississippi State" if Mississippi State win the game. This market will resolve to "LSU" if LSU win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
The market resolves based on the result of the Mississippi State versus LSU college football game scheduled for October 17, 2026. If LSU wins, its corresponding market resolves to Yes, and Mississippi State's resolves to No, and vice versa if Mississippi State wins. If the game is postponed but commences within 48 hours of the original start time, both markets remain open and resolve according to the final, official result. Should the game be cancelled or fail to start within the 48-hour window, both markets resolve to a fair price, reflecting an unbiased assessment of the unresolved condition. The markets operate independently of any official NCAA affiliation, and all trademarks remain property of their respective owners.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to trade on their beliefs. This can lead to discrepancies, as prediction markets may incorporate information not fully captured by sportsbook algorithms. However, both aim to accurately forecast the outcome of the Mississippi State vs. LSU game, and comparing the two can be a valuable exercise for informed decision-making.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Differences in pricing between Polymarket and Kalshi for the Mississippi State vs. LSU game can arise from several factors. Each platform has its own user base, trading dynamics, and fee structures, which can influence price discovery. Additionally, the liquidity and volume on each platform can vary, leading to temporary discrepancies. While both platforms track the same underlying event, the differing participation and trading activity can result in distinct probabilities being reflected in the market prices. These variations are a natural part of a decentralized prediction market ecosystem.
Several signals could influence trading activity in this market. News regarding key player injuries, changes in coaching strategies, or even weather forecasts could all impact predictions. Unexpected upsets in other games involving these teams could also shift sentiment. Public perception, driven by media coverage and social media discussions, can also play a role. Any significant development related to the Mississippi State vs. LSU game has the potential to move the market until it resolves.