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$245,801,863

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2,984,028,936

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$1,902,097,102

417,059

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4,415

PLATFORM COVERAGE:

5

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Utah St. vs Boise St.: 3rd Quarter Winner
kalshi

What is the result of Utah St. vs Boise St.?

Volume:
$3,892

Boise St.

 - Kalshi

Boise St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 10:05 PM 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

Boise St.

View
100%
Yes 100¢No 0¢
—
N/A
$3,100
N/A
N/A
$2,761
Settled
Yes
kalshi

Utah St.

0%
Yes 0¢No 100¢
—
N/A
$417
N/A
N/A
$395
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$375
N/A
N/A
$370
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 State and Boise State. It provides a way to bet on short-term performance rather than the overall game outcome. The resolution depends solely on the points scored during that quarter, regardless of the final game result.

Kalshi

If Boise St. wins the 3rd quarter of the Utah St. vs Boise St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Utah St. wins the 3rd quarter of the Utah St. vs Boise St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Utah St. vs Boise St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Utah St. vs Boise St. 3rd quarter market displays the current price of each outcome – which team will win the third quarter. It also provides a price history chart, allowing you to see how the market has moved over time. You can view the total volume traded on this market, currently at $3,892, and the 24-hour volume, which is $2,809. This information helps you understand market sentiment and activity surrounding the potential winner of the third quarter.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set their odds based on models and attempt to balance action on both sides, while this market’s price is determined by individuals willing to buy or sell based on their own analysis. As more information becomes available – such as injury reports or weather forecasts – this market tends to incorporate that data more efficiently than traditional sportsbooks, potentially leading to more accurate probabilities. However, sportsbook odds can still offer a useful point of comparison for assessing value.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, either Utah St. or Boise St. winning the third quarter. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, the prices adjust dynamically, providing a real-time assessment of the likely winner. The market's depth and volume indicate the level of confidence traders have in each outcome.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will settle based on which team is leading at the end of the third quarter of the Utah St. vs Boise St. game. Official game statistics will be used to determine the winner, ensuring a transparent and objective resolution process. The final score at the end of the third quarter will be the determining factor for this market.

Several factors could significantly impact this market. Any news regarding key player injuries for either Utah St. or Boise St. would likely cause price movement. Changes in weather conditions, especially if they favor one team’s playing style, could also shift the odds. Furthermore, in-game performance during the first and second quarters – such as a dominant offensive showing by one team – could influence trader sentiment and lead to adjustments in the market price. Unexpected coaching decisions or late-breaking news about team morale could also play a role.