TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 11:20 PM EST
Kalshi
This set of markets tracks the potential outcomes of a college football game between UAB and Louisiana, focusing on the margin of victory for either team. Each market represents a different point differential threshold that must be exceeded for the market to settle positively. The contests will resolve based on the official game result, with specific provisions for scheduling changes.
All markets resolve based on the official point differential from the UAB vs Louisiana college football game scheduled for September 19, 2026. For Louisiana markets, resolution occurs if Louisiana wins by more than the specified point margin (ranging from 1.5 to 27.5 points). For UAB markets, resolution occurs if UAB wins by more than the specified point margin (ranging from 1.5 to 14.5 points). If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain active and resolve according to the final official result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, meaning participants receive a proportional return based on the market's overall liquidity and positions at that time. These rules apply uniformly across all individual point-spread markets in this contest.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to trade based on their own analysis. This can lead to discrepancies, particularly as new information emerges or public sentiment shifts. It's common to see prediction markets move faster than sportsbooks in response to breaking news or significant events impacting the game, offering a potentially more dynamic view of the likely outcome.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the UAB vs Louisiana spread. The price of these contracts fluctuates based on supply and demand, effectively creating a real-time probability assessment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded. The current price reflects the collective expectation of all participants, and the market's depth indicates the level of confidence in those predictions.
This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final spread will be determined by the official result of the UAB vs Louisiana football game. The difference between the final scores of both teams will be compared to the spread offered in this market to determine which contracts will pay out. This ensures a transparent and objective resolution process based on the official game results.
Several factors could influence the price of this market before resolution. Any news regarding key player injuries for either UAB or Louisiana would likely cause significant movement. Changes in weather forecasts, particularly if severe weather is expected during the game, could also impact the spread. Unexpected coaching changes or significant shifts in team performance leading up to the game could also drive trading activity. Public perception and betting trends, as reported by sports news outlets, may also contribute to fluctuations in this market.