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:

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UCF vs Oklahoma St.: 2nd Half Winner
kalshi

What is the result of UCF vs Oklahoma St.?

Volume:
$8,421

Oklahoma St.

 - Kalshi

Oklahoma St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 3:36 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

Oklahoma St.

View
100%
35%
Yes 100¢No 0¢
—
N/A
$2,714
N/A
N/A
$1,797
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$3,753
N/A
N/A
$3,741
Settled
No
kalshi

UCF

0%
Yes 0¢No 100¢
—
N/A
$1,955
N/A
N/A
$1,083
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 UCF and Oklahoma State. It captures the momentum and strategies employed after halftime, offering a snapshot of the latter portion of the contest. The outcome depends solely on second-half performance, not the overall game result.

Kalshi

If Oklahoma St. wins the 2nd half (including overtime) of the UCF vs Oklahoma St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If UCF wins the 2nd half (including overtime) of the UCF vs Oklahoma St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 2nd half (including overtime) of the UCF vs Oklahoma St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the UCF vs Oklahoma State 2nd half market tracks the current price of contracts predicting which team will win the second half, as well as a history of price movements over time. You’ll also find the 24-hour trading volume, which currently stands at $8,392, and the total volume traded to date, which is $8,421. This allows you to see how the market is reacting to news and information leading up to the game. The dashboard provides a real-time view of where traders believe the probability lies for each potential outcome.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and to balance betting action, while this market is driven purely by individuals trading on their beliefs about the outcome. If a significant number of traders believe a sportsbook is undervaluing a particular team’s chances, the price in this market will move accordingly. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts, offering potential value for informed traders.

On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing their belief about the probability of each team winning the second half. The price of a contract ranges from 0 to 100, representing the implied probability of that outcome. As more traders participate, the price fluctuates based on supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market reflects the collective intelligence of those trading, and the price changes dynamically as new information becomes available, offering a unique perspective compared to static odds.

This market resolves around Oct 10, 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 UCF vs Oklahoma State game 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 on the winning team will receive a payout, while those holding contracts on the losing team will not.

Several factors could influence the price of this market. Any news regarding key player injuries or suspensions for either UCF or Oklahoma State would likely cause significant movement. Changes in weather conditions, particularly if they favor one team’s playing style, could also impact trading activity. Additionally, late-breaking news about team morale, coaching decisions, or even unexpected lineup changes could all contribute to shifts in the market price. Public perception and analysis from sports commentators can also play a role, influencing traders’ beliefs.