TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 9:36 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of a college football game between Louisiana Tech and Louisiana-Monroe. Each market corresponds to a specific point margin threshold, allowing participants to bet on whether the winning team will exceed that margin by the end of the first half.
All markets resolve based solely on points scored during the first half of the Louisiana Tech vs Louisiana-Monroe college football game scheduled for October 17, 2026. For markets where Louisiana Tech is the favorite, resolution occurs if Louisiana Tech wins the first half by more than the specified point margin. Conversely, for markets where Louisiana-Monroe is the favorite, resolution occurs if Louisiana-Monroe wins the first half by more than the specified point margin. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve based on the official first-half result. If the game fails to start within the 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants.
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 team of experts, while this market allows anyone to participate and express their beliefs about the outcome. It’s common to see discrepancies between the two, as prediction markets can sometimes incorporate information and insights that sportsbooks may overlook. However, both aim to accurately forecast the result of the Louisiana Tech vs Louisiana-Monroe game.
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 fluctuates based on supply and demand, reflecting the probability that the actual spread will fall within that range. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set prices accurately, as they profit from correctly predicting the outcome. This dynamic pricing mechanism aims to create a market that efficiently aggregates information and forecasts the likely result of the first half spread between Louisiana Tech and Louisiana-Monroe.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the first half of the Louisiana Tech vs Louisiana-Monroe 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 will be based on official game statistics and data sources.
Several factors could influence the price movement of this market before resolution. Any news regarding injuries to key players on either Louisiana Tech or Louisiana-Monroe would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the game's style of play, could also shift the market. Furthermore, any late-breaking information about team strategies or coaching decisions could influence trader sentiment and cause the price of contracts to fluctuate. Public perception and betting trends can also play a role in shaping this market.