TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 8:46 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of a college football game between Louisiana-Monroe and South Alabama. Each market corresponds to a specific margin of victory, allowing participants to bet on whether the winning team will exceed that margin during the first half.
All markets resolve based solely on points scored during the first half of the Louisiana-Monroe vs South Alabama college football game scheduled for October 3, 2026. A 'Yes' outcome occurs if the specified team wins by more than the stated point margin in the first half. If the game is postponed but commences within 48 hours of the original start time, markets remain open and resolve according to the official result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price. No markets consider points scored in the second half or overall game outcome.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by a small number of experts, while this market aggregates the views of many individuals. It’s common to see discrepancies between the two, especially before significant events or when new information emerges. Examining these differences can be valuable when forming your own opinion on the likely outcome of the Louisiana-Monroe vs South Alabama game. Keep in mind that both represent probabilities of an event occurring.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract reflects the probability of that spread occurring in the first half of the game, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set accurate prices, as they profit from correctly predicting the outcome. The more a particular spread is traded, the more reliable the price becomes as an indicator of the expected result. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust its predictions accordingly.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread in the first half of the Louisiana-Monroe vs South Alabama game will be used to determine which contracts pay out. Contracts predicting a spread that matches the actual result will settle at 100, while those predicting a different spread will settle at 0. The resolution process ensures a transparent and objective determination of the outcome based on the official game results.
Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either the Louisiana-Monroe or South Alabama teams would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the style of play, could also move the market. Late-breaking news about team strategy or coaching decisions could also cause shifts in the price. Finally, large trading volume from informed participants could signal new information or a change in sentiment, potentially leading to price adjustments.