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$154.1b

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$185,665,189

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2,983,476,643

OPEN INTEREST:

$1,833,875,329

407,365

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4,365

PLATFORM COVERAGE:

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Clemson vs Florida St.: Overtime
kalshi

What is the result of Clemson vs Florida St.?

Volume:
$5,047

Game goes to overtime

 - Kalshi

Game goes to overtime - Kalshi

1W

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Positive

Negative

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Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 10:54 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Game goes to overtime

View
0%
Yes 0¢No 100¢
—
N/A
$5,047
N/A
N/A
$4,250
Settled
No
Total markets: 1

Description

This market determines if the Clemson versus Florida St. college football game set for October 31, 2026, goes into overtime. Overtime is triggered when the game continues past regulation time, with any started period counting toward the outcome. The market also considers games that are delayed but begin within 48 hours of the original start time.

Kalshi

If at least 1 overtime period is played in the Clemson vs Florida St. college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Clemson vs Florida State game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts in real-time as traders buy and sell contracts. Currently, the total volume for this market is $5,047, with $5,047 traded in the last 24 hours. This provides a clear view of market activity and sentiment surrounding the game’s potential results. The dashboard is a central hub for understanding how the prediction market is assessing the likelihood of various scenarios.

Typically, prediction market odds tend to reflect a more accurate forecast than traditional sportsbook odds, as they aggregate the wisdom of many individuals. Sportsbooks often incorporate a 'vig' or commission into their odds, which can skew the probabilities. This market, like others on Kalshi, allows traders to directly express their beliefs about the game's outcome, potentially leading to a more efficient price discovery process. While sportsbook odds are readily available, they may not always capture the collective intelligence present in a prediction market like this one, especially as new information emerges.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market's current assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust accordingly, providing a dynamic and real-time estimate of the game's likely result. The market depth and trading volume indicate the level of confidence and agreement among participants regarding the potential for each outcome in the Clemson vs Florida State game.

This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will reflect the final result of the Clemson vs Florida State game, specifically whether the game goes to overtime. The platform will utilize publicly available sources to determine the official outcome and settle the contracts accordingly. This ensures a transparent and objective resolution process, providing clarity for all participants in this market and ensuring accurate payouts based on the actual game result.

Several factors could influence the price movement of this market before Nov 1, 2026. Any significant news regarding player injuries, changes in coaching strategies, or even weather forecasts could impact trader sentiment and shift the odds. Unexpected announcements about team performance or key player availability would likely cause substantial price fluctuations. Furthermore, public opinion shifts, as reflected in sports news and analysis, can also play a role in driving trading activity and altering the probabilities reflected in this market. Monitoring these signals is crucial for understanding potential market movements.