TOTAL VOLUME:
$138.4b
24H VOL:
$100,175,802
24H TRANSACTIONS:
2,495,670,182
OPEN INTEREST:
$1,527,723,987
458,854
Markets across
34,821
events
MATCHED EVENTS:
2,814
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Oct 3, 10:43 PM EST
Polymarket
This market tracks whether a pick-six—an interception returned for a touchdown—will be scored in the Louisiana-Monroe versus South Alabama college football game. Currently, the consensus probability of a pick-six being scored is 100.0%, aggregated from Polymarket, Predict, and Kalshi. Resolution will be based on the official game results reported by https://www.ncaa.com/. Keep an eye on the game itself on October 3rd, as that is when the outcome will be determined.
In the upcoming college football game between Louisiana-Monroe and South Alabama, scheduled for October 3 at 7:00PM ET: This market will resolve to "Louisiana-Monroe" if Louisiana-Monroe win the game. This market will resolve to "South Alabama" if South Alabama 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 event resolves based on the official result of the Louisiana-Monroe vs South Alabama college football game scheduled for October 3, 2026. If either team wins the game as officially recorded, the corresponding market will resolve to Yes. If the game is postponed but commences within 48 hours of its original scheduled start time, the market remains open and resolves according to the final, official result of the actually played game. Should the game be cancelled or fail to start within this 48-hour window, the market resolves to a fair price, ensuring equitable treatment for all participants under these specific contingency conditions.
In the upcoming college football game between Louisiana-Monroe and South Alabama, scheduled for October 3 at 7:00PM ET: This market will resolve to "Louisiana-Monroe" if Louisiana-Monroe win the game. This market will resolve to "South Alabama" if South Alabama 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.
Differences in prices between Polymarket and Kalshi for the Louisiana-Monroe vs. South Alabama game can arise from several factors. 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. Each platform attracts a different user base with varying levels of expertise and information. Trading mechanisms also differ—Polymarket may have different fee structures or liquidity levels than Kalshi. Furthermore, the specific markets offered on each platform can influence price discovery; one might focus on the outright winner while the other offers a spread-based market. These nuances contribute to the observed price variations.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Louisiana-Monroe vs. South Alabama game, as officially recorded by sports authorities, will determine the winning outcome. Traders will be able to see the final result and how it aligns with their predictions after the game concludes. The platform will then finalize the market and distribute payouts accordingly.
Several factors could influence the probabilities in this market before Oct 3, 2026. Any significant news regarding player injuries, changes in coaching staff, or unexpected weather conditions could shift expectations. Public sentiment, as reflected in betting activity on Polymarket and Kalshi, will also play a role. Late-breaking news or analysis that alters perceptions of team strengths or weaknesses could lead to substantial price movements. Monitoring these signals can provide insights into how the market is evolving.