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OPEN INTEREST:
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402,751
Markets across
30,217
events
MATCHED EVENTS:
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PLATFORM COVERAGE:
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Polymarket:
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VS.
Kalshi:
61%
Closed: Sep 19, 8:08 PM EST
Kalshi
This market tracks the outcome of the first half of a college football game between Marshall and Missouri State. It focuses solely on which team leads at halftime, without considering the full-game result. The market accounts for potential game postponements within a defined window.
If Missouri St. wins the 1st half of the Marshall vs Missouri St. college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes. If Marshall wins the 1st half of the Marshall vs Missouri St. college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Marshall vs Missouri St. college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning closely with sportsbook odds but sometimes diverging based on unique information or perspectives held by traders. Sportsbooks set lines based on their own models and risk management, while this market allows individuals to express their beliefs directly. If there’s a significant difference, it could indicate that prediction market participants believe the sportsbook is mispricing the probability of a particular outcome. It’s common to see convergence as the event approaches, with both sets of odds becoming more similar.
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 reflects the market’s collective assessment of that outcome’s likelihood. As more people buy contracts for a particular team, the price increases, indicating a higher perceived probability of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts as new information becomes available and traders update their beliefs, creating a real-time probability forecast for the first half winner of the Marshall vs Missouri State game.
This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which team is leading at the end of the first half of the Marshall vs Missouri State game. Official sources, such as sports news outlets and the NCAA website, will be used to determine the final score and confirm the winning team. The market will then settle, and traders will receive payouts based on their positions.
Several factors could influence the odds of this market. Any news regarding key player injuries or suspensions for either Marshall or Missouri State would likely cause significant movement. Changes in weather conditions, particularly if they favor one team’s playing style, could also impact the market. Furthermore, any significant shifts in public perception, perhaps driven by expert analysis or early betting trends, could lead to adjustments in the odds. Unexpected coaching decisions or in-game performance during other games that impact team morale could also be catalysts.