TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Utah vs Colorado: 2nd Quarter Winner
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What is the result of Utah vs Colorado?

Volume:
$10,469

Utah

 - Kalshi

Utah - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 12:12 AM EST

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Kalshi

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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

Utah

View
100%
Yes 100¢No 0¢
—
N/A
$7,689
N/A
N/A
$5,586
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,674
N/A
N/A
$1,118
Settled
No
kalshi

Colorado

0%
Yes 0¢No 100¢
—
N/A
$1,107
N/A
N/A
$965
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of a college football game between Utah and Colorado. It highlights the competitive nature of individual game segments rather than the overall result, allowing participants to speculate on short-term performance.

Kalshi

If Colorado wins the 2nd quarter of the Utah vs Colorado college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Utah wins the 2nd quarter of the Utah vs Colorado college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Utah vs Colorado college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Utah vs Colorado 2nd quarter market tracks the current price of contracts representing each possible outcome – which team wins the 2nd quarter, or if there is a tie. You can also see the 24-hour volume, which is currently $10,469, and the total volume traded to date, which is $10,469. The dashboard provides a visual history of how the price has fluctuated over time, allowing you to analyze trader sentiment. This provides insight into how the perceived probability of each outcome is changing.

Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows traders to freely express their beliefs. It’s common to see discrepancies, especially before significant events or when new information emerges. Comparing the implied probabilities from both sources can be a valuable exercise for informed decision-making, though it's important to remember that neither is guaranteed to be correct.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – Utah winning, Colorado winning, or a tie – and the price of these contracts fluctuates based on supply and demand. As more people buy contracts for a particular outcome, its price increases, reflecting a higher perceived probability. Conversely, if more people sell, the price decreases. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price of a contract represents the market’s assessment of the probability of that outcome occurring.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team that has the higher score at the end of the 2nd quarter will be declared the winner. In the event of a tie, the 'tie' outcome will be considered the winner. The resolution will be based on the official game statistics as reported by a trusted sports data source, ensuring a fair and accurate determination of the result.

Several factors could influence the price movement of this market. Any news regarding player injuries, changes in team strategy, or even weather conditions could impact trader sentiment. Unexpected performance in the first quarter, or even pre-game analysis suggesting a shift in momentum, could also lead to significant price fluctuations. Public perception, as reflected in social media and sports news, can also play a role, as traders react to new information and adjust their predictions accordingly. Keep an eye on these signals as the game approaches.