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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Kansas vs TCU: 1st Quarter Winner
kalshi

What is the result of Kansas vs TCU?

Volume:
$10,965

Kansas

 - Kalshi

Kansas - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 4:21 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

Kansas

View
100%
Yes 100¢No 0¢
—
N/A
$8,337
N/A
N/A
$7,269
Settled
Yes
kalshi

TCU

0%
Yes 0¢No 100¢
—
N/A
$2,103
N/A
N/A
$1,186
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$525
N/A
N/A
$491
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between Kansas and TCU. It focuses solely on the scoring dynamics of the opening quarter, ignoring the rest of the game. The outcome depends on which team scores more points in that specific segment of play.

Kalshi

If TCU wins the 1st quarter of the Kansas vs TCU college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Kansas wins the 1st quarter of the Kansas vs TCU college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Kansas vs TCU college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Kansas vs TCU 1st quarter market provides a real-time view of how traders are pricing the potential outcomes. You’ll find the current odds for each team to win the first quarter, a history of how those odds have changed over time, and the 24-hour trading volume, which currently stands at $22. The total volume traded in this market is $22. This allows you to see how sentiment is shifting and where the majority of the action is.

Often, prediction market odds can differ from those found at traditional sportsbooks, reflecting the wisdom of the crowd versus the assessments of professional oddsmakers. Sportsbooks set initial lines based on team statistics and expert analysis, while this market allows anyone to express their belief about the outcome. These differences can arise from varying information sources, risk assessments, or simply differing opinions among bettors. It's common to observe prediction markets incorporating information faster than sportsbooks, especially in response to late-breaking news or shifts in public sentiment.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of each contract reflects the market’s collective probability of that outcome occurring. As more traders buy contracts for a particular team, the price increases, indicating a higher perceived chance of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism ensures that the market odds constantly adjust to reflect the latest information and sentiment, offering a unique perspective on the potential winner of the first quarter.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first quarter of the Kansas vs TCU game will be declared the winner of this market. The official game results, as reported by a trusted sports news source, will serve as the basis for determining the winning outcome. Traders will be able to claim their winnings once the resolution is finalized on Kalshi.

Several factors could significantly influence this market before the game concludes. Any news regarding key player injuries or changes to the starting lineup for either Kansas or TCU would likely cause shifts in the odds. Unexpected weather conditions, such as heavy rain or strong winds, could also impact the perceived advantage of either team. Finally, pre-game analysis from sports analysts and public sentiment expressed on social media can all contribute to fluctuations in the market as traders react to new information and adjust their predictions.