TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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UCF vs Oklahoma St.: 1st Quarter Winner
kalshi

What is the result of UCF vs Oklahoma St.?

Volume:
$25,765

UCF

 - Kalshi

UCF - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 12:42 PM EST

kalshi

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

UCF

View
100%
70%
Yes 100¢No 0¢
—
N/A
$8,294
N/A
N/A
$6,107
Settled
Yes
kalshi

Oklahoma St.

0%
Yes 0¢No 100¢
—
N/A
$8,853
N/A
N/A
$6,281
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$8,618
N/A
N/A
$6,391
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will lead after the first quarter of a college football game between UCF and Oklahoma State. It reflects the competitive dynamics of the early game stages, where momentum can shift rapidly. The outcome depends solely on the scoring during the first 15 minutes of play.

Kalshi

If Oklahoma St. wins the 1st quarter 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 1st quarter 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 1st quarter 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 game tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how traders are pricing each possible outcome in the first quarter. Currently, the total volume traded on this market is $25,765, with $20,218 traded in the last 24 hours. This provides insight into market sentiment and how it's evolving as kickoff approaches. The dashboard updates in real-time, reflecting the latest activity from traders on Kalshi.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set odds based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. If a significant number of traders believe a sportsbook has mispriced an outcome, they can express that view by trading on Kalshi, potentially driving the odds closer to what they perceive as the true probability. It’s common to see prediction markets outperform traditional sportsbooks in accuracy, especially as event time nears.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract indicates the market’s implied probability of that outcome occurring. As more traders buy contracts for a particular team, the price increases, and the implied probability rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth shows the volume of contracts available at different price points, giving an indication of how easily large trades can be executed. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities accordingly.

This market resolves around Oct 10, 2026, with the outcome confirmed once the winner of the first quarter is verifiable from credible public reporting. The result will be determined by the official game statistics as reported by the governing sports organization. Traders who correctly predicted the first quarter winner will receive a payout based on the final market price of their chosen contract. It’s important to monitor the game closely as it progresses, as any unexpected events could influence the final result and the market’s resolution.

Several signals could significantly move this market. Late-breaking news regarding key player injuries for either UCF or Oklahoma State would be a major catalyst. Changes in weather forecasts, particularly if they favor one team’s playing style, could also impact trading activity. Significant betting action from sophisticated traders, often referred to as ‘smart money,’ can also shift the odds. Finally, any pre-game analysis suggesting a mispricing by the initial market consensus could prompt traders to adjust their positions, leading to price movement on Kalshi.