TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

Markets across

40,178

events

MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Baylor vs UCF: 4th Quarter Winner
kalshi

What is the result of Baylor vs UCF?

Volume:
$20,135

Baylor

 - Kalshi

Baylor - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 30, 11:08 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
$16,348
N/A
N/A
$9,086
Settled
Yes
kalshi

UCF

0%
Yes 0¢No 100¢
—
N/A
$2,237
N/A
N/A
$1,541
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,550
N/A
N/A
$1,382
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points specifically in the fourth quarter of an upcoming college football game. It tracks the competitive performance of each team during the final period of play, excluding any overtime scenarios.

Kalshi

If UCF wins the 4th quarter (excluding overtime) of the Baylor vs UCF college football game originally scheduled for Oct 30, 2026, then the market resolves to Yes. If Baylor wins the 4th quarter (excluding overtime) of the Baylor vs UCF college football game originally scheduled for Oct 30, 2026, then the market resolves to Yes. If neither team wins the 4th quarter (excluding overtime) of the Baylor vs UCF college football game originally scheduled for Oct 30, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Baylor vs UCF 4th quarter market provides a real-time view of how traders are pricing the probability of each team winning the fourth quarter. You’ll find the current odds, a price history chart showing how those odds have changed over time, and the 24-hour trading volume, which is currently $12,335. The total volume traded on this market is $20,135. This allows you to gauge market sentiment and track changes in expectations as new information becomes available.

Typically, prediction market odds reflect the wisdom of the crowd, often incorporating information and analysis that may not be fully priced into traditional sportsbook lines. While sportsbooks set initial odds based on statistical models and expert opinions, this market allows anyone to trade on their beliefs, potentially leading to a more accurate assessment of probabilities. It’s common to see differences emerge, especially as the event approaches and new information surfaces, but generally, both aim to predict the same outcome. It's important to compare both to get a comprehensive view.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing the probability of each outcome. The price of a contract directly reflects the market’s assessment of that outcome’s likelihood. As more traders buy contracts for a particular team, the price increases, indicating a higher perceived probability of them winning the fourth quarter. 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 reflects the collective intelligence of all participants, constantly adjusting to new information and changing sentiment.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the team leading at the end of the fourth quarter will be declared the winner. The resolution will be based on the official game results as reported by a trusted sports data source. Traders holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will not. This ensures a clear and objective determination of the market’s outcome.

Several factors could influence the price movement of this market. Any news regarding player injuries, changes in coaching strategies, or even weather conditions could shift expectations and impact trading activity. Unexpected performance in earlier quarters of the game could also lead to significant price adjustments. Furthermore, large trading volume from informed participants could signal a change in sentiment, causing the market to react accordingly. Monitoring these signals will be crucial for understanding how this market evolves leading up to its resolution.