TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Wisconsin vs Penn St.: Overtime
kalshi

What is the result of Wisconsin vs Penn St.?

Volume:
$2,332

1+ overtime periods

 - Kalshi

1+ overtime periods - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 27, 2026

Closed: Sep 26, 8:39 PM EST

kalshi

Kalshi

View
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%
5%
Yes 0¢No 100¢
100¢
N/A
$2,332
N/A
N/A
$1,758
Settled
No
Total markets: 1

Description

The Wisconsin vs Penn St. college football game could extend beyond regulation time if the score is tied at the end of the fourth quarter, leading to an overtime period. Overtime occurs when both teams have an equal number of points after the standard game duration, requiring additional rounds of play to determine a winner.

Kalshi

If at least 1 overtime period is played in the Wisconsin vs Penn St. college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Wisconsin vs Penn State game tracks the current odds of overtime occurring, the price history of contracts representing different overtime lengths, and the 24-hour trading volume. Currently, the volume is $2,332 and the total volume traded on this market is $2,332. You can see how the market is valuing the probability of a tie game extending into overtime, and observe shifts in sentiment as new information becomes available. The dashboard provides a real-time view of where traders stand on the likelihood of this particular game going to overtime.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the game’s outcome. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the teams’ strengths and weaknesses. It’s common to see prediction markets move independently of sportsbook lines, especially as new information surfaces closer to the game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the likelihood of overtime. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their bids and asks based on their own analysis and expectations, creating a dynamic price discovery process. Higher demand for a particular outcome will drive up its price, while increased selling pressure will lower it. This creates a real-time assessment of the game’s potential for going into overtime.

This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether the Wisconsin vs Penn State game officially goes into overtime, as determined by the official game results. The final score and official game statistics will be used to verify if overtime occurred. The market will settle to 100 if overtime happens, and 0 if the game concludes within regulation time. Traders should monitor official sources for the final game results to understand the resolution.

Several signals could significantly impact this market. Any news regarding key player injuries for either Wisconsin or Penn State would likely cause a shift in the odds. Changes in weather forecasts, particularly if severe weather is predicted, could also influence trading activity. Late-breaking news about team strategy or coaching decisions might also move the market. Furthermore, as the game approaches, public sentiment and expert analysis could sway traders’ opinions, leading to price fluctuations. Unexpected upsets in other games affecting team morale could also play a role.