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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South Carolina vs Oklahoma: 2nd Quarter Winner
kalshi

What is the result of South Carolina vs Oklahoma?

Volume:
$5,319

South Carolina

 - Kalshi

South Carolina - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 6:03 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
$3,749
N/A
N/A
$2,771
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$925
N/A
N/A
$643
Settled
No
kalshi

Oklahoma

0%
Yes 0¢No 100¢
—
N/A
$645
N/A
N/A
$601
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second 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 2nd 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 2nd 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 2nd 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 current odds for each team to win the second quarter, the total volume traded on the market—currently $4,352—and the 24-hour volume, which is $4,330. You can also view a price history chart to see how the probabilities have shifted over time. This allows you to understand market sentiment and how traders are reacting to news and information related to the game. The dashboard provides a real-time view of where the crowd believes the advantage lies in this matchup.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market’s prices are driven purely by traders expressing their beliefs about the likelihood of each outcome. Discrepancies can arise due to differing information sources, biases, or simply the dynamic nature of a continuously updating market. If a significant difference exists, it may present an opportunity for arbitrage, where traders can profit by simultaneously betting on both the prediction market and a sportsbook.

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 reflects the probability of that outcome occurring, as perceived by the market participants. As more traders buy contracts for a particular team, the price increases, indicating a higher perceived probability of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading volume provide insights into the level of confidence behind each price. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities accordingly.

This market resolves around Oct 31, 2026, with the outcome confirmed once the winner of the second quarter of the South Carolina vs Oklahoma game is verifiable from credible public reporting. The official game results will be used to determine which contract pays out. The market will then settle, and traders who held winning contracts will receive a payout based on the final market price at resolution. It’s important to monitor the game’s progress and official results as they become available to understand the resolution process.

Several signals could significantly impact this market. Any news regarding player injuries, changes in coaching strategy, or even weather conditions could shift trader sentiment. Unexpected performance in the first quarter of the game would likely cause a rapid adjustment in probabilities. Furthermore, large volume trades from informed participants could also indicate a shift in expectations. Monitoring news sources, sports analysts’ opinions, and the real-time trading activity on Kalshi will provide valuable insights into potential market movements before Oct 31, 2026.