TOTAL VOLUME:

$154.8b

24H VOL:

$260,393,102

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,894,304,386

408,643

Markets across

39,771

events

MATCHED EVENTS:

4,493

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Houston vs Utah: 1st Quarter Winner
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What is the result of Houston vs Utah?

Volume:
$32,190

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 11:03 PM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Tie

View
100%
80%
Yes 100¢No 0¢
—
N/A
$15,936
N/A
N/A
$12,908
Settled
Yes
kalshi

Houston

0%
Yes 0¢No 100¢
—
N/A
$11,822
N/A
N/A
$8,744
Settled
No
kalshi

Utah

0%
Yes 0¢No 100¢
—
N/A
$4,431
N/A
N/A
$3,114
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between Houston and Utah. It focuses solely on the scoring dynamics of the opening quarter, ignoring the rest of the game’s outcome. The result depends on which team scores more points in that initial segment of play.

Kalshi

If Utah wins the 1st quarter of the Houston vs Utah college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Houston wins the 1st quarter of the Houston vs Utah college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Houston vs Utah college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Houston vs Utah 1st quarter market displays the current price, a historical price chart, and 24-hour trading volume. You can see how the implied probability of each outcome fluctuates in real-time. Currently, the total volume for this market is $32,190, with $30,453 traded in the last 24 hours. This provides a clear picture of market activity and where traders are placing their bets on which team will win the first quarter.

Often, prediction market odds reflect a different perspective than those found at sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market relies on the collective wisdom of traders. If a significant number of traders believe a sportsbook line is inaccurate, the price here will diverge accordingly. It’s common to see differences, especially after significant news or developments related to team performance or player availability, as this market can react more quickly to new information than traditional bookmakers.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each outcome. The price of each contract fluctuates based on supply and demand. As more traders buy contracts for a particular team, the price increases, reflecting a higher perceived chance of that team winning the first quarter. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities in real-time, providing a forward-looking assessment of the game's potential outcome.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official score at the end of the first quarter of the Houston vs Utah game will determine the winning team. The resolution will be based on the official game statistics as reported by a trusted sports data provider. Traders will then be paid out based on their positions in the market, reflecting the accuracy of their predictions.

Several factors could significantly impact this market. Any news regarding key player injuries or starting lineup changes for either the Houston or Utah teams would likely cause price movement. Unexpected announcements about coaching strategies or team performance could also influence trader sentiment. Furthermore, late-breaking news about weather conditions, which could affect the game's style of play, might also shift the probabilities. Public perception, as reflected in polls or analyst predictions, can also have an effect, though this market is driven by trading activity.