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 19, 9:33 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of a college football game between UAB and Louisiana. Each market corresponds to a specific margin by which either team could win the first half, allowing participants to bet on various possible outcomes.
All markets resolve based solely on points scored during the first half of the UAB vs Louisiana college football game scheduled for September 19, 2026. Each market has a specific point differential threshold; if the winning team exceeds that threshold in the first half, the market resolves to Yes, otherwise No. If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve according to the official result. If the game fails to start within 48 hours of its scheduled time, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the game's eventual status.
Generally, prediction markets and sportsbooks often arrive at similar probabilities, but they do so through different mechanisms. Sportsbooks set odds based on their own models and incorporate a profit margin, while this market reflects the collective wisdom of traders who are incentivized to accurately forecast the outcome. Discrepancies can arise due to differing opinions, information advantages held by traders, or simply variations in how each assesses the probabilities. It's common to see this market adjust rapidly to new information, potentially leading to differences compared to initial sportsbook offerings.
This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread in the first half of the UAB vs Louisiana game will be used to determine which contracts pay out. The resolution will be based on the official result reported by the governing sports authority, ensuring a clear and verifiable outcome. Traders will be able to see the final result and payout information on Kalshi following the game’s conclusion.
Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries for either UAB or Louisiana would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the style of play, could also shift trader sentiment. Additionally, late-breaking news about team strategies or coaching decisions could play a role. Finally, large volume trades on Kalshi itself can create momentum and drive price fluctuations as traders react to new information or adjust their positions.