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Nicholls St. vs Kansas St.: Overtime
kalshi

What is the result of Nicholls St. vs Kansas St.?

Volume:
$33

1+ overtime periods

 - Kalshi

1+ overtime periods - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Sep 6, 2026

Closed: Sep 5, 10:20 PM EST

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

1+ overtime periods

View
0%
3%
Yes 0¢No 100¢
100¢
N/A
$33
N/A
N/A
$33
Settled
No
Total markets: 1

Description

Nicholls State and Kansas State compete in a college football game that may extend beyond regulation if the score remains level when time expires. Such ties often arise from balanced offensive strategies and strong defensive performances, leading fans to anticipate potential extra periods.

Kalshi

If at least 1 overtime period is played in the Nicholls St. vs Kansas St. college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes.

Frequently asked questions

The dashboard for the Nicholls St. vs Kansas St. overtime market shows real-time odds, price fluctuations, and 24-hour volume on Kalshi. It provides a snapshot of trader sentiment and market dynamics for this specific event, allowing users to monitor how probabilities evolve as the game approaches. The interface updates continuously to reflect the latest activity and volume of $0 in this market.

This market resolves around Sep 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result depends on whether the Nicholls St. and Kansas St. game goes beyond regulation time, and the platform will finalize the market based on official game records and widely accepted sports news sources.

Injuries, weather conditions, coaching strategies, and key player performances can all shift this market as the game nears. Traders will also react to any last-minute lineup changes or shifts in public betting trends. Media analysis and expert predictions released closer to the matchup may cause noticeable swings in odds, reflecting evolving expectations about the likelihood of overtime.