TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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South Carolina vs Oklahoma: 3rd Quarter Winner
kalshi

What is the result of South Carolina vs Oklahoma?

Volume:
$4,556

South Carolina

 - Kalshi

South Carolina - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 6:56 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

South Carolina

View
100%
Yes 100¢No 0¢
—
N/A
$3,244
N/A
N/A
$1,871
Settled
Yes
kalshi

Oklahoma

0%
Yes 0¢No 100¢
—
N/A
$975
N/A
N/A
$525
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$336
N/A
N/A
$204
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the third quarter of a college football game between South Carolina and Oklahoma. It provides a way to speculate on short-term performance during a specific segment of the game, rather than the overall result.

Kalshi

If Oklahoma wins the 3rd quarter of the South Carolina vs Oklahoma college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If South Carolina wins the 3rd quarter of the South Carolina vs Oklahoma college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the South Carolina vs Oklahoma college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the South Carolina vs Oklahoma game tracks the continuously updating odds reflecting what traders are willing to pay to own a share in each potential outcome. You’ll find the current price, a history of price movements, and 24-hour volume, which currently stands at $4,380. The total volume traded on this market is $4,417. This provides a real-time view of expectations for which team will win the third quarter.

Prediction market odds often reflect the wisdom of the crowd, and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and to balance action, while this market is driven by individuals freely trading based on their own information and beliefs. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts. These differences can present opportunities for informed traders to potentially find value in either market.

On Kalshi, this market is priced through a continuous order book, where buyers and sellers set the price of contracts representing each possible outcome. The price of a contract indicates the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their bids and asks based on new information, leading to dynamic price movements. A higher price suggests greater confidence in that outcome, while a lower price indicates less confidence.

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 third quarter of the South Carolina vs Oklahoma game will be declared the winner of this market. Any official results released by the governing body of the game will be used to verify the outcome. Traders will then be able to claim their winnings based on their positions in the market.

Several factors could influence the price of this market. News regarding injuries to key players on either the South Carolina or Oklahoma teams would likely have a significant impact. Changes in betting trends at sportsbooks, or even public sentiment expressed on social media, could also shift expectations. Finally, any in-game developments during the first half of the game, such as a dominant performance by one team, could cause the market to react and adjust the probabilities accordingly.