TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 11:03 PM EST
Kalshi
This set of markets tracks the total points scored by both teams in the first quarter of an upcoming college football game. Participants predict whether the combined score will exceed various thresholds, offering different levels of difficulty for forecasting the game's early momentum.
All markets resolve based on the total points scored by both teams combined during the first quarter of the Houston vs Utah college football game scheduled for October 24, 2026. Each market has a specific threshold (e.g., over 2.5, 5.5, up to 27.5 points); if the actual combined score exceeds the threshold, the market resolves to Yes. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the actual result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price. Only points scored in the first quarter count toward resolution.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds due to varying information and incentives. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the outcome. This can lead to discrepancies, with prediction markets sometimes offering more accurate probabilities, especially as more information becomes available. It's common to see differences in implied probabilities between this market and those offered by sportsbooks, reflecting differing perspectives on the likely result.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the total points scored in the first quarter. The price of a contract ranges from 0 to 100, representing the probability of the 'Yes' outcome (total points being over the implied line). On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders adjust these prices based on their own analysis and information, creating a dynamic market that reflects collective expectations. Higher demand for the 'Yes' side will drive up the price, while increased selling pressure will lower it, ultimately determining the market's overall assessment.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the first quarter between Houston and Utah will be used to determine whether the total points scored exceed the implied line represented by the market price at resolution. The resolution will be based on official game statistics, ensuring an objective and verifiable outcome. Traders will then be paid out or have their contracts settled based on the accuracy of their predictions in this market.
Several factors could influence the price of this market. Late-breaking news regarding player injuries or changes to starting lineups for either Houston or Utah would likely cause significant movement. Unexpected weather conditions, if applicable, could also impact scoring expectations. Even public sentiment, as reflected in social media or expert analysis, can sometimes influence trading activity. Any information that alters perceptions of the teams' offensive capabilities or the game's overall scoring potential has the potential to shift the market price before Oct 25, 2026.