TOTAL VOLUME:

$154.1b

24H VOL:

$172,394,893

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,821,572,886

404,136

Markets across

40,075

events

MATCHED EVENTS:

4,369

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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South Carolina vs Florida: 1st Half Winner
kalshi

What is the result of South Carolina vs Florida?

Volume:
$90,863

South Carolina wins 1st Half

 - Kalshi

South Carolina wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 2:23 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 wins 1st Half

View
100%
Yes 100¢No 0¢
—
N/A
$24,567
N/A
N/A
$18,109
Settled
Yes
kalshi

Tie 1st Half

0%
8%
Yes 0¢No 100¢
—
N/A
$44,113
N/A
N/A
$18,576
Settled
No
kalshi

Florida wins 1st Half

0%
Yes 0¢No 100¢
—
N/A
$22,184
N/A
N/A
$13,502
Settled
No
Total markets: 3

Description

This market tracks which team will lead at halftime in an upcoming college football game between South Carolina and Florida. It focuses solely on the first half performance, ignoring the final outcome of the full game. The result depends on whether Florida, South Carolina, or neither team (in case of a tie) scores more points before halftime.

Kalshi

If Florida wins the 1st half of the South Carolina vs Florida college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If South Carolina wins the 1st half of the South Carolina vs Florida college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 1st half of the South Carolina vs Florida college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the South Carolina vs Florida game tracks the current odds of each team winning the first half, the total volume traded on the market, and a price history chart showing how those odds have changed over time. You can also see the 24-hour volume, which indicates how much trading activity has occurred in the last day. Currently, the total volume for this market is $90,863 and the 24-hour volume is $90,671. This provides a real-time view of where traders are placing their bets and how the perceived probability of each outcome is evolving.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or initial public perception. Sportsbooks set lines to balance action, while this market allows traders to freely express their beliefs about the likelihood of each team winning the first half. If a significant discrepancy exists between the two, arbitrage opportunities may arise, where traders can profit by betting on both the prediction market and a sportsbook. It's common to see convergence as the event approaches, with both sets of odds becoming more aligned.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which team is leading at the end of the first half of the South Carolina vs Florida game. Official game statistics will be used to determine the winner, and any disputes will be handled according to Kalshi’s market rules. Traders will then be paid out based on the final result and the contracts they hold.

Several factors could influence the trading activity in this market. Any news regarding injuries to key players on either the South Carolina or Florida team would likely cause significant movement. Changes in team strategy, weather conditions, or even pre-game analysis from sports commentators could also shift trader sentiment. Unexpected line movements in sportsbooks could also trigger adjustments in this market as traders seek to capitalize on perceived discrepancies. Overall team performance in recent games and head-to-head records may also play a role in shaping the market’s predictions.