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Mercer vs Georgia Tech: Overtime
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What is the result of Mercer vs Georgia Tech?

Volume:
$2,910

1+ overtime periods

 - Kalshi

1+ overtime periods - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

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Resolved Sep 19, 2026

Closed: Sep 19, 3:20 PM EST

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Outcome
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Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
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1+ overtime periods

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,910
N/A
N/A
$2,900
Settled
No
Total markets: 1

Description

Mercer and Georgia Tech's college football game has the potential to include overtime if the contest remains tied after the regular periods conclude. This would mean additional play sessions are required to establish a definitive outcome beyond the standard game duration.

Kalshi

If at least 1 overtime period is played in the Mercer vs Georgia Tech college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Mercer vs Georgia Tech game tracks the current odds for overtime occurring, the price history of contracts representing different overtime lengths, and the 24-hour trading volume. Currently, the total volume for this market is $2,910, with $2,366 traded in the last 24 hours. You can see how the market is valuing the likelihood of the game going to overtime, and observe changes in sentiment as new information becomes available. This allows traders to gauge the collective prediction of whether the game will extend beyond regulation time.

Typically, prediction market odds reflect a different set of information and incentives than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, while Kalshi allows traders to directly assess the probability of overtime. This can lead to differences in implied probabilities. While sportsbooks may initially set odds based on team statistics and expert analysis, this market incorporates the wisdom of the crowd, potentially reacting more quickly to late-breaking news such as injuries or changes in weather conditions. It's common to see divergences as new information emerges and traders adjust their positions.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different overtime scenarios. The price of a contract reflects the market's assessment of the probability of that outcome occurring. As more traders buy contracts for a specific outcome, the price increases, indicating a higher perceived likelihood. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading activity provide insights into the level of confidence traders have in each possible result. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities accordingly, creating a real-time forecast of the game's potential duration.

This market resolves around Sep 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on whether the Mercer vs Georgia Tech game goes into overtime, as officially recorded by the governing body of college football. The final result will be determined by the official game statistics and verified against credible public sources. Traders holding contracts representing the correct outcome will be paid out according to the final market price at resolution, while those holding contracts on incorrect outcomes will forfeit their investment.

Several factors could significantly influence this market before resolution. Any news regarding key player injuries on either the Mercer or Georgia Tech teams would likely cause price fluctuations. Changes in weather forecasts, particularly if severe weather is expected during the game, could also impact trading activity. Unexpected news about coaching strategies or team morale could also play a role. Finally, as the game approaches, any shifts in public sentiment or expert predictions regarding the likely outcome could drive changes in the market's price, reflecting the evolving expectations of traders.