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Baylor vs Kansas: Total Points
kalshi

What will be the total points in Baylor vs Kansas?

Volume:
$1,069,553

Over 43.5 points

 - Kalshi

Over 43.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 4:30 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

Over 43.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$65,108
N/A
N/A
$41,717
Settled
Yes
kalshi

Over 46.5 points

100%
Yes 100¢No 0¢
—
N/A
$46,221
N/A
N/A
$32,726
Settled
Yes
kalshi

Over 40.5 points

100%
Yes 100¢No 0¢
—
N/A
$40,069
N/A
N/A
$31,196
Settled
Yes
kalshi

Over 37.5 points

100%
Yes 100¢No 0¢
—
N/A
$22,455
N/A
N/A
$17,266
Settled
Yes
kalshi

Over 34.5 points

100%
Yes 100¢No 0¢
—
N/A
$3,732
N/A
N/A
$2,602
Settled
Yes
kalshi

Over 31.5 points

100%
Yes 100¢No 0¢
—
N/A
$960
N/A
N/A
$960
Settled
Yes
kalshi

Over 28.5 points

100%
Yes 100¢No 0¢
—
N/A
$565
N/A
N/A
$565
Settled
Yes
kalshi

Over 53.5 points

0%
49%
Yes 0¢No 100¢
—
N/A
$280,599
N/A
N/A
$249,034
Settled
No
kalshi

Over 52.5 points

0%
Yes 0¢No 100¢
—
N/A
$249,485
N/A
N/A
$229,966
Settled
No
kalshi

Over 49.5 points

0%
Yes 0¢No 100¢
—
N/A
$112,911
N/A
N/A
$60,946
Settled
No
kalshi

Over 54.5 points

0%
Yes 0¢No 100¢
—
N/A
$53,748
N/A
N/A
$40,478
Settled
No
kalshi

Over 55.5 points

0%
44%
Yes 0¢No 100¢
—
N/A
$47,973
N/A
N/A
$38,874
Settled
No
kalshi

Over 57.5 points

0%
Yes 0¢No 100¢
—
N/A
$47,971
N/A
N/A
$43,349
Settled
No
kalshi

Over 56.5 points

0%
Yes 0¢No 100¢
—
N/A
$38,900
N/A
N/A
$34,509
Settled
No
kalshi

Over 58.5 points

0%
Yes 0¢No 100¢
—
N/A
$20,903
N/A
N/A
$12,055
Settled
No
kalshi

Over 64.5 points

0%
Yes 0¢No 100¢
—
N/A
$17,101
N/A
N/A
$8,235
Settled
No
kalshi

Over 76.5 points

0%
Yes 0¢No 100¢
—
N/A
$6,770
N/A
N/A
$3,423
Settled
No
kalshi

Over 61.5 points

0%
29%
Yes 0¢No 100¢
—
N/A
$4,389
N/A
N/A
$2,504
Settled
No
kalshi

Over 70.5 points

0%
Yes 0¢No 100¢
—
N/A
$4,168
N/A
N/A
$2,947
Settled
No
kalshi

Over 73.5 points

0%
Yes 0¢No 100¢
—
N/A
$3,008
N/A
N/A
$2,840
Settled
No
kalshi

Over 67.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,518
N/A
N/A
$2,067
Settled
No
Total markets: 21

Description

This set of markets tracks the total points scored by both teams in an upcoming college football game. Each market corresponds to a different point threshold, allowing participants to speculate on whether the combined score will exceed various benchmarks.

Kalshi

All markets resolve based on the total points scored by both teams in the Baylor vs Kansas college football game scheduled for October 24, 2026. For each market, if the combined score exceeds the specified threshold, the market resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of the original start time, the markets remain open and resolve according to the final official result. If the game does not start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome.

Frequently asked questions

On Kalshi, the dashboard for the Baylor vs Kansas points total tracks the current price, price history, and 24-hour trading volume. Currently, volume stands at $896,653, with a total volume of $1,069,257. The dashboard provides a visual representation of how traders are pricing the likelihood of different point totals in the game. This allows users to see how the market sentiment shifts over time and identify potential trading opportunities related to this specific event. It’s a central location for monitoring activity and understanding the collective prediction.

Generally, prediction market odds often reflect a wisdom-of-the-crowd effect, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market represents the aggregated beliefs of individual traders. Often, you’ll find that this market incorporates information and perspectives not fully captured by sportsbooks, leading to potentially different probabilities assigned to various outcomes. However, as game day approaches, the odds on both sides tend to converge as new information becomes available and more people participate.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing different point totals for the Baylor vs Kansas game. The price of each contract indicates the probability of that specific point total 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 prices adjust to reflect the evolving consensus. This dynamic pricing mechanism aims to create a real-time forecast of the total points scored in the game, driven by the collective intelligence of the traders on the platform.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point total scored in the Baylor vs Kansas game, as officially recorded by sports authorities, will determine the winning contracts. The resolution process relies on publicly available and independently verified data to ensure accuracy and transparency. Traders will be able to see the final result and the corresponding payouts based on their positions in the market once the official score is confirmed and reported.

Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries for either Baylor or Kansas would likely have a significant impact, as would updates on weather conditions that could affect scoring. Changes in public perception, driven by expert analysis or betting trends, could also shift the market. Furthermore, as the game progresses, live scoring updates will directly impact the price, especially if the point total is trending significantly above or below the initial market expectations. These factors all contribute to the dynamic nature of this market.