TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Baylor vs Kansas: 3rd Quarter Winner
kalshi

What is the result of Baylor vs Kansas?

Volume:
$2,934

Baylor

 - Kalshi

Baylor - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 3:27 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

Baylor

View
100%
Yes 100¢No 0¢
—
N/A
$1,372
N/A
N/A
$1,216
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$809
N/A
N/A
$519
Settled
No
kalshi

Kansas

0%
Yes 0¢No 100¢
—
N/A
$753
N/A
N/A
$746
Settled
No
Total markets: 3

Description

In the upcoming college football game between Baylor and Kansas, bettors can predict which team will score more points specifically in the third quarter. The outcome depends solely on the points each team accumulates during that 15-minute segment of play.

Kalshi

The market resolves based on which team scores more points in the third quarter of the Baylor vs Kansas college football game scheduled for October 24, 2026. Only points scored during the third quarter count. 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. The market also resolves to Yes if neither team scores in the third quarter (a tie).

Frequently asked questions

On Kalshi, the dashboard for the Baylor vs Kansas 3rd quarter market displays the current price of each outcome – which team will win the 3rd quarter. It also provides a price history chart, allowing you to see how the odds have shifted over time. You’ll find the total volume traded in this market, currently at $2,912, and the 24-hour volume, which is $1,662. This data helps traders assess market sentiment and potential trading opportunities related to this specific contest.

Generally, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set lines to balance action and incorporate a profit margin, while this market allows traders to express their own probabilities. If a significant number of traders believe a sportsbook’s odds are inaccurate, they can trade against it, driving the price on Kalshi towards what they perceive as the true probability. This can lead to prediction market odds being more accurate, especially as the event approaches and more information becomes available.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, either Baylor or Kansas winning the 3rd quarter. The price of each contract represents the probability of that outcome occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect the collective assessment of the likely winner. The market’s depth, indicated by the bid and ask sizes, shows how much volume is available at different price points.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the 3rd quarter of the Baylor vs Kansas game will be declared the winner of this market. Official game statistics from a trusted source will be used to determine the final score and, consequently, the market’s resolution. Traders should ensure their positions are managed before this date to avoid unintended outcomes.

Several factors could influence trading activity in this market. News regarding player injuries or suspensions for either Baylor or Kansas would likely cause significant price movement. Unexpected changes in team performance during earlier games, or even weather forecasts impacting playing conditions, could also shift trader sentiment. Major announcements related to coaching strategies or team morale could also play a role. Any information that alters the perceived probability of either team winning the 3rd quarter has the potential to move this market.