TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 9:02 PM EST
Kalshi
This event tracks how decisively either team wins the second quarter of an upcoming college football game. It focuses solely on the point differential during that specific quarter, ignoring the overall game outcome or other quarters' scores.
All markets resolve based exclusively on the point differential between Louisiana Tech and LSU during the second quarter of their college football game scheduled for September 12, 2026. Each market corresponds to a specific point threshold, with 'Yes' resolving if LSU's or Louisiana Tech's second-quarter lead exceeds the respective threshold. Only points scored in the second quarter count toward resolution. If the game is postponed but commences within 48 hours of its original start time, all markets remain open and resolve according to the official result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome thresholds.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from initial sportsbook lines which are often set by experts. Sportsbooks may incorporate factors like public perception or team news more quickly, while this market allows for a broader range of information to influence pricing as more traders participate. It’s common to see discrepancies emerge, especially as new information becomes available and traders adjust their positions. Comparing this market to sportsbook odds can offer a valuable perspective on public sentiment and potential value bets.
On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different spreads in the LSU vs Louisiana Tech game. The price of each contract indicates the probability of that spread occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy into a particular spread, its price increases, and vice versa. This dynamic pricing mechanism ensures that the market reflects the collective intelligence of all participants, creating a real-time assessment of the likely outcome.
This market resolves around Sep 13, 2026, with the outcome confirmed once the final spread in the 2nd quarter of the Louisiana Tech vs LSU game is verifiable from credible public reporting. The resolution will be based on the official game statistics as reported by a trusted sports data provider. The market will determine which spread – LSU winning by over 13.5 points, or any other spread offered – was the actual result of the game's second quarter, and payouts will be distributed accordingly.
Several factors could significantly influence this market. Any news regarding key player injuries for either Louisiana Tech or LSU would likely cause price fluctuations. Unexpected changes in weather conditions could also impact the game and, consequently, the market. Furthermore, significant betting activity – a large influx of traders taking one side of the spread – could shift the price. Finally, any updates on team strategies or coaching decisions leading up to the game could also move this market as traders react to the evolving information.