TOTAL VOLUME:

$154.6b

24H VOL:

$323,326,361

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,969,435,260

419,363

Markets across

40,411

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Baylor vs UCF: 2nd Half Winner
kalshi

What is the result of Baylor vs UCF?

Volume:
$26,028

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
$21,212
N/A
N/A
$17,959
Settled
Yes
kalshi

UCF

0%
Yes 0¢No 100¢
—
N/A
$4,091
N/A
N/A
$3,516
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$724
N/A
N/A
$689
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second half of a college football game between Baylor and UCF. It highlights the importance of second-half performance, where momentum and strategy adjustments often play a critical role in the outcome of the game.

Kalshi

If UCF wins the 2nd half (including 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 2nd half (including 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 2nd half (including 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 2nd half market tracks the current price, price history, and 24-hour trading volume. Currently, the volume is $26,024 and the total volume for this market is $26,028. You can see how the price of a 'yes' outcome has fluctuated over time, giving you insight into trader sentiment. The dashboard provides a real-time view of where traders believe the probability lies for each team winning the second half of the game, and how that belief is changing as new information emerges.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from those offered by sportsbooks. Sportsbooks set initial lines to balance action, incorporating a profit margin, while this market is driven purely by individuals predicting the outcome. If a significant number of people believe one team will win the second half, the price will move accordingly, potentially offering better value than traditional sportsbook odds. However, sportsbooks also adjust their lines based on information, so discrepancies aren’t always large, and can shift over time.

On Kalshi, this market is priced through a continuous auction format, meaning traders buy and sell contracts representing the probability of each outcome. The price of a contract directly corresponds to the implied probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price converges towards what the market believes is the true probability. The price reflects the collective assessment of all participants, making it a dynamic and informative indicator of potential game results. Buying a contract is essentially betting that the outcome will happen, while selling is betting against it.

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 second half of the Baylor vs UCF game will be declared the winner, and that result will determine the settlement of contracts on Kalshi. The resolution will be based on the official game statistics and final score as reported by a trusted sports data source. Traders will then be paid out or have their funds returned based on whether their predictions aligned with the actual result.

Several factors could influence the price of this market. Late-breaking news regarding key player injuries or suspensions for either Baylor or UCF would likely cause significant movement. Changes in weather conditions, particularly if they favor one team's playing style, could also shift trader sentiment. Even public perception, fueled by media coverage or expert analysis, can impact trading activity. Any information that alters the perceived probability of either team winning the second half has the potential to move this market before Oct 31, 2026.