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 St. vs Boise St.: 1st Quarter Winner
kalshi

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

Volume:
$3,233

Boise St.

 - Kalshi

Boise St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 8:19 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
$1,980
N/A
N/A
$1,793
Settled
Yes
kalshi

Utah St.

0%
Yes 0¢No 100¢
—
N/A
$636
N/A
N/A
$596
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$617
N/A
N/A
$617
Settled
No
Total markets: 3

Description

This market tracks which team will score more points in the first quarter of an upcoming college football game between Utah State and Boise State. It focuses solely on the initial quarter's performance, ignoring the rest of the game. The outcome depends on the points each team scores during that specific period.

Kalshi

If Boise St. wins the 1st 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 1st 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 1st 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. game tracks the current odds for each possible outcome in the 1st Quarter, along with a price history chart showing how those odds have changed over time. You can also see the 24-hour trading volume, which currently stands at $3,190, and the total volume traded to date, which is $3,233. This provides a real-time view of how traders are assessing the likelihood of each team winning the first quarter of this matchup.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from those offered by sportsbooks. Sportsbooks set initial lines to balance their risk, while this market allows traders to dynamically price the probability of an event based on information and analysis. Often, prediction markets are more accurate than traditional polls or analyst predictions, as they incentivize participants to express their true beliefs. It’s common to see discrepancies between the two, especially as new information becomes available leading up to the game.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, Utah St. winning the 1st Quarter or Boise St. winning the 1st Quarter. The price of each contract reflects the market’s collective probability assessment of that outcome. 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, these prices will fluctuate, providing a dynamic and real-time forecast of the game's first quarter result.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the first quarter of the Utah St. vs Boise St. game, as officially recorded by the game’s governing body, will determine the winning contract. The resolution will be based on the official game results, ensuring a transparent and verifiable outcome for all participants in this market.

Several factors could influence the price movement of this market. Any news regarding injuries to key players on either team, changes in weather conditions, or significant shifts in public sentiment could all impact trader behavior. Late-breaking news about team strategies or coaching decisions could also play a role. Furthermore, large volume trades on Kalshi itself can create short-term price fluctuations, reflecting shifts in confidence among market participants as the game approaches.