TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 8:15 PM EST
Kalshi
This set of markets focuses on predicting the total points scored by both teams combined in the first quarter of a college football game. The outcomes depend on whether the combined score exceeds specific thresholds, offering various levels of difficulty for forecasting.
The markets resolve based on whether the combined points scored by both teams in the first quarter of the Louisiana Tech vs LSU college football game scheduled for September 12, 2026, exceed specified thresholds ranging from 2.5 to 27.5 points. Only points scored during the first quarter count. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve according to the actual result. If the game does not start within 48 hours, the markets resolve to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain property of their respective owners.
Generally, prediction market odds often reflect a different perspective than those found at sportsbooks. Sportsbooks incorporate a 'vig' or commission into their odds, aiming to profit regardless of the outcome, while this market allows traders to directly express their beliefs. This can lead to differences in implied probabilities. If a significant number of people believe the sportsbook is mispricing the likelihood of a certain outcome in the Louisiana Tech vs LSU 1st quarter, they can trade on Kalshi to capitalize on that perceived discrepancy. It's common to see prediction markets offer more accurate probabilities, especially as the event approaches.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their predictions about the 1st quarter total. The price of a contract reflects the market's collective belief about the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders set the odds by placing bids and asks, and the market price adjusts dynamically based on supply and demand. A higher price indicates lower confidence in that outcome, while a lower price suggests greater confidence. The current price provides a real-time assessment of expectations for the Louisiana Tech vs LSU 1st quarter.
This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final total score of the first quarter of the Louisiana Tech vs LSU game will be used to determine the winning contracts. The resolution will be based on official game statistics, ensuring an objective and verifiable result. Traders will be able to see the final outcome and the corresponding payouts on Kalshi shortly after the conclusion of the first quarter. The market will then close, and all contracts will be settled.
Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries for either Louisiana Tech or LSU would likely have a significant impact. Changes in weather conditions, especially if they are expected to affect scoring, could also shift the market. Furthermore, late-breaking news about team strategies or coaching decisions might influence trader sentiment. Public perception and analysis from sports commentators could also play a role, potentially driving volume and price fluctuations in this market leading up to the end of the first quarter.