TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Arizona St. vs Texas Tech: 1st Quarter Winner
kalshi

What is the result of Arizona St. vs Texas Tech?

Volume:
$6,744

Texas Tech

 - Kalshi

Texas Tech - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 4:32 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

Texas Tech

View
100%
Yes 100¢No 0¢
—
N/A
$3,904
N/A
N/A
$3,210
Settled
Yes
kalshi

Arizona St.

0%
Yes 0¢No 100¢
—
N/A
$1,548
N/A
N/A
$1,398
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,292
N/A
N/A
$954
Settled
No
Total markets: 3

Description

The first quarter of a college football game between Arizona State and Texas Tech will determine the winner based on which team scores more points in that segment.

Kalshi

The market resolves based on which team scores more points in the first quarter of the Arizona State vs Texas Tech college football game scheduled for Oct 17, 2026. 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, the market resolves to a fair price. Points scored only during the first quarter count towards the outcome.

Frequently asked questions

On Kalshi, the dashboard for the Arizona State vs. Texas Tech game tracks the current odds of each team winning the first quarter, the total volume traded on this market—currently $6,744—and the 24-hour volume, which is $6,740. You can also view a price history chart to see how the market has moved over time. This allows you to analyze trader sentiment and potential shifts in expectations for the game's opening quarter. The dashboard provides a real-time view of how people are predicting the outcome.

Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning closely with sportsbook odds but sometimes diverging based on unique information or perspectives held by traders. Sportsbooks set initial lines based on statistical models and expert analysis, while this market allows anyone to participate and express their beliefs, potentially leading to different probabilities. It's common to see prediction markets react more quickly to breaking news or changes in sentiment than traditional sportsbooks, as the price adjusts with each trade. However, the difference can vary significantly depending on the event.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief in each outcome. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. As more people buy contracts for a particular team, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current market price indicates what percentage of the outcome is already 'priced in' by the collective intelligence of traders. The volume traded provides insight into how actively this market is being analyzed and how confident traders are in their predictions.

This market resolves around Oct 17, 2026, with the outcome confirmed once the winner of the first quarter of the Arizona State vs. Texas Tech game is verifiable from credible public reporting. The official result, as determined by the game’s governing body, will be used to determine the winning contract. Traders who held contracts for the correct outcome will receive a payout, while those who bet on the losing outcome will forfeit their investment. The resolution process is designed to be transparent and based on publicly available data.

Several signals could significantly impact this market. Any news regarding injuries to key players on either the Arizona State or Texas Tech teams would likely cause shifts in the odds. Changes in weather conditions, particularly if they favor one team's playing style, could also influence trading activity. Unexpected announcements about coaching strategies or team lineups could also move the market. Finally, even public sentiment and betting trends—as reflected in other sources—can sometimes create momentum that affects the price of contracts in this market.