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Austin Peay vs Vanderbilt: Overtime
kalshi

Austin Peay vs Vanderbilt: Overtime

Volume:
$33

1+ overtime periods

 - Kalshi

1+ overtime periods - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 6, 2026

Closed: Sep 5, 10:15 PM EST

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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

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

Austin Peay faces Vanderbilt in a college football contest where the game's outcome hinges on whether the teams can break a deadlock after the standard playing time ends. Overtime becomes necessary if neither side secures a winning margin by the final whistle of regulation.

Kalshi

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

Frequently asked questions

On Kalshi, the overtime outcome market dashboard tracks real-time odds, price movements, and trading volume for the chance of the game going beyond regulation time. It shows how traders on Kalshi are positioning themselves ahead of the contest, with updates reflecting shifts in market sentiment. The dashboard highlights total volume of $33 and recent 24-hour volume of $0, giving users insight into market activity and liquidity for this specific prediction.

This market resolves around Sep 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result is determined by whether the game goes into overtime according to official game records, with no additional interpretation needed beyond standard sports reporting and score verification.

Key signals that could shift this market include major player injuries, changes in team coaching strategies, weather conditions on game day, and any public statements from coaches or analysts that affect perceived match balance. Additionally, sharp trading activity on Kalshi in response to new data can cause rapid price adjustments, especially as the event draws closer and uncertainty diminishes.