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Baylor vs UCF: 1st Half Spread
kalshi

What is the result of Baylor vs UCF?

Volume:
$492,378

Baylor wins by over 1.5 points

 - Kalshi

Baylor wins by over 1.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 30, 2026

Closed: Oct 30, 9:16 PM EST

kalshi

Kalshi

View
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 wins by over 1.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$81,109
N/A
N/A
$55,835
Settled
Yes
kalshi

Baylor wins by over 13.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$68,013
N/A
N/A
$28,921
Settled
Yes
kalshi

Baylor wins by over 2.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$51,005
N/A
N/A
$31,413
Settled
Yes
kalshi

Baylor wins by over 9.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$42,704
N/A
N/A
$21,049
Settled
Yes
kalshi

Baylor wins by over 3.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$39,914
N/A
N/A
$28,572
Settled
Yes
kalshi

Baylor wins by over 10.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$37,556
N/A
N/A
$19,757
Settled
Yes
kalshi

Baylor wins by over 6.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$33,981
N/A
N/A
$22,150
Settled
Yes
kalshi

Baylor wins by over 7.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$33,429
N/A
N/A
$20,543
Settled
Yes
kalshi

Baylor wins by over 4.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$5,075
N/A
N/A
$3,345
Settled
Yes
kalshi

Baylor wins by over 17.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$33,989
N/A
N/A
$18,049
Settled
No
kalshi

Baylor wins by over 14.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$30,963
N/A
N/A
$13,450
Settled
No
kalshi

UCF wins by over 2.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$23,956
N/A
N/A
$14,318
Settled
No
kalshi

UCF wins by over 13.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$3,073
N/A
N/A
$3,053
Settled
No
kalshi

UCF wins by over 6.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$1,998
N/A
N/A
$1,821
Settled
No
kalshi

UCF wins by over 3.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$1,243
N/A
N/A
$1,097
Settled
No
kalshi

UCF wins by over 7.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$1,232
N/A
N/A
$1,229
Settled
No
kalshi

UCF wins by over 4.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$917
N/A
N/A
$827
Settled
No
kalshi

UCF wins by over 9.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$863
N/A
N/A
$843
Settled
No
kalshi

UCF wins by over 10.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$522
N/A
N/A
$502
Settled
No
kalshi

UCF wins by over 17.5 points

View
0%
17%
Yes 0¢No 100¢
—
N/A
$426
N/A
N/A
$414
Settled
No
kalshi

UCF wins by over 14.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$410
N/A
N/A
$410
Settled
No
Total markets: 21

Description

These markets focus on predicting the margin of victory for either Baylor or UCF in the first half of their college football game. Each market corresponds to a specific point differential threshold that must be exceeded for the outcome to be considered valid.

Kalshi

All markets resolve based solely on points scored during the first half of the Baylor vs UCF college football game scheduled for October 30, 2026. For any market where Baylor wins by the specified margin or more, it resolves to Yes; if UCF wins by the specified margin or more, the corresponding UCF market resolves to Yes; otherwise, all markets resolve to No. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve based on the official result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential thresholds listed.

Frequently asked questions

On Kalshi, the dashboard for the Baylor vs UCF 1st half spread tracks the current price of contracts representing different point spreads for the first half of the game. You'll find a price history chart showing how the market has moved over time, as well as the 24-hour trading volume, which is currently $464,058. The total volume traded on this market is $468,569. This allows you to see how much activity there is and how traders are positioning themselves on the likely outcome of the first half spread.

Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by a small team of experts, while this market incorporates the views of many individual traders. It’s common to see discrepancies between the two, as prediction markets can sometimes identify information or biases that sportsbooks miss. However, both aim to accurately predict the probability of different outcomes, and both can be valuable tools for informed decision-making.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads in the first half. The price of each contract reflects the market’s assessment of the probability of that spread occurring. Traders are incentivized to set prices accurately, as they profit from correctly predicting the outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movement is driven by supply and demand; if more people buy contracts for a particular spread, the price will increase, indicating a higher perceived probability of that outcome.

This market resolves around Oct 31, 2026, with the outcome confirmed once the final first-half spread of the Baylor vs UCF game is verifiable from credible public reporting. The resolution will be based on the official result declared by the governing body of college football. The market will pay out to contract holders based on whether the actual first-half spread falls within the range specified by their purchased contracts. No further action is needed from traders after the event concludes.

Several factors could influence the price of this market. Any news regarding injuries to key players on either the Baylor or UCF teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift the market. Furthermore, late-breaking news about team strategies or coaching decisions could influence trader sentiment. Public perception, reflected in polls or expert analysis, can also contribute to price movements as traders react to new information.