TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 6:20 PM EST
Kalshi
This set of markets tracks the point differential in a college football game between Louisiana Tech 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.
All markets resolve based on the official final point differential of the Louisiana Tech vs South Alabama college football game scheduled for October 31, 2026. If Louisiana Tech wins, markets resolve to Yes if their victory margin exceeds the specified points; if South Alabama wins, markets resolve to Yes if their victory margin exceeds the specified points. If the game is postponed but commences within 48 hours of the original start time, all markets remain open and resolve according to the final result. If the game fails to start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants under these contingency conditions.
Prediction market odds often reflect the wisdom of the crowd, 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 beliefs of many individual traders. It's common to see discrepancies between the two, especially before significant events or breaking news. These differences can arise from varying levels of information or differing interpretations of the same information. Examining both can provide a more comprehensive view of the expected outcome.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the Louisiana Tech vs South Alabama game. The price of each contract reflects the probability of that spread occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders who believe a particular spread is likely, the higher the price of the corresponding contract will rise. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations as the game approaches.
This market resolves around Nov 1, 2026, with the outcome confirmed once the final point spread of the Louisiana Tech vs South Alabama game is verifiable from credible public reporting. The resolution will be based on the official result as determined by the governing body of college football. The final point spread will be calculated based on the actual score difference between the two teams, taking into account any adjustments for overtime or other game-specific rules. The market will then pay out to contract holders based on whether their predicted spread matches the actual result.
Several factors could influence the price of this market before the game takes place. Any news regarding injuries to key players on either Louisiana Tech or South Alabama would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift expectations. Unexpected coaching decisions or strategic adjustments announced by either team could also move the market. Finally, large trading volume from informed participants could signal a shift in sentiment and cause the price to fluctuate.