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$154.3b

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$228,458,490

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2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

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40,345

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MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

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Utah Tech vs Portland St.: 1st Half Winner
kalshi

What is the result of Utah Tech vs Portland St.?

Volume:
$1,960

Portland St. wins 1st Half

 - Kalshi

Portland St. wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 5:39 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

Portland St. wins 1st Half

View
100%
Yes 100¢No 0¢
—
N/A
$1,174
N/A
N/A
$1,174
Settled
Yes
kalshi

Utah Tech wins 1st Half

0%
Yes 0¢No 100¢
—
N/A
$461
N/A
N/A
$393
Settled
No
kalshi

Tie 1st Half

0%
Yes 0¢No 100¢
—
N/A
$326
N/A
N/A
$326
Settled
No
Total markets: 3

Description

The market determines the winner of the first half in the college football game between Utah Tech and Portland State. Points scored during the first half will decide the outcome, with the possibility of a tie if scores are equal.

Kalshi

The market resolves based on which team leads at the end of the first half of the designated college football game. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves according to the official result. If the game does not start within 48 hours, it resolves to a fair price. All outcomes—Portland State win, Utah Tech win, or tie—are considered, with only first-half points counting toward the resolution.

Frequently asked questions

On Kalshi, the dashboard for the Utah Tech vs Portland St. game tracks the current price of a 'yes' vote – that is, the probability of one team winning the first half. It also displays the 24-hour trading volume, currently at $1,960, and the total volume traded to date, which is $1,960. You can view a price history chart to see how the market has moved over time, providing insight into trader sentiment. This allows you to gauge how confidence in either team’s first-half performance is evolving as new information becomes available.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and to balance action, while this market aggregates the beliefs of many individual traders. If a significant number of people believe a team is more likely to win than sportsbooks suggest, the price for that outcome will rise here. However, it's also common to see convergence as more information becomes available and both markets react to the same catalysts, such as injury reports or team news.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing their belief about whether a specific team will win the first half. The price of a 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 price fluctuates, providing a real-time assessment of the likely winner. The market's price is driven entirely by supply and demand among traders on the Kalshi exchange.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first half of the Utah Tech vs Portland St. game will be declared the winner for the purposes of this market. The resolution will be based on the official game results, as reported by a trusted sports data source. Traders holding contracts on the winning team will receive a payout, while those holding contracts on the losing team will not.

Several factors could influence the price of this market. Any news regarding key player injuries or suspensions for either Utah Tech or Portland St. would likely cause significant movement. Changes in team performance leading up to the game, such as unexpected wins or losses, could also shift trader sentiment. Even weather conditions on game day, or late-breaking news about coaching strategies, could impact the perceived probabilities and cause the market to react. Public perception, as reflected in polls or media coverage, might also play a role, though the market often acts as a contrarian indicator.