TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

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Kalshi:

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Wisconsin vs Notre Dame: 4th Quarter Winner
kalshi

What is the result of Wisconsin vs Notre Dame?

Volume:
$3,840

Notre Dame wins 4th Quarter

 - Kalshi

Notre Dame wins 4th Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 7, 2026

Closed: Sep 6, 11:07 PM EST

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

Notre Dame wins 4th Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,890
N/A
N/A
$1,804
Settled
Yes
kalshi

Wisconsin wins 4th Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$1,360
N/A
N/A
$1,202
Settled
No
kalshi

Tie 4th Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$590
N/A
N/A
$578
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the final quarter of an upcoming college football game between Wisconsin and Notre Dame. It provides a way to speculate on the momentum and performance of each team specifically in the last quarter of play, excluding any overtime periods.

Kalshi

The market resolves based on which team scores more points in the fourth quarter of the Wisconsin vs. Notre Dame college football game scheduled for September 6, 2026, excluding any overtime periods. If Notre Dame scores more points in the fourth quarter, the 'Notre Dame wins 4th Quarter' market resolves to Yes. If Wisconsin scores more points in the fourth quarter, the 'Wisconsin wins 4th Quarter' market resolves to Yes. If both teams score the same number of points in the fourth quarter, the 'Tie 4th Quarter' market resolves to Yes. Should the game be postponed but commence within 48 hours of its original scheduled start time, all markets remain open and resolve according to the official result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price. Only points scored during the fourth quarter—excluding overtime—are considered for resolution.

Frequently asked questions

On Kalshi, the dashboard for the Wisconsin vs Notre Dame game tracks the current odds for each potential winner of the 4th quarter, along with a price history showing how those odds have changed over time. You can also view the 24-hour trading volume, which currently stands at $3,840, and the total volume traded to date, which is $3,840. This provides a real-time view of where traders are placing their bets and how the market perceives the likelihood of each outcome. The dashboard is updated continuously to reflect the latest trading activity.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on models and internal analysis, while this market is driven by individuals willing to put their money behind their beliefs. It’s common to see discrepancies, especially before significant events or when new information emerges. While sportsbooks may initially lean heavily on statistical analysis, this market can quickly incorporate subjective factors and breaking news, potentially leading to more accurate predictions as the event approaches.

This market resolves around Sep 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will determine which team is winning at the end of the 4th quarter of the Wisconsin vs Notre Dame game. The result will be based on official game statistics and verified by sources covering college football. Traders will then be paid out based on whether their chosen outcome aligns with the final result reported by these sources.

Several factors could influence the odds in this market. Any news regarding key player injuries for either Wisconsin or Notre Dame would likely cause significant movement. Changes in coaching strategies or unexpected weather conditions could also impact trader sentiment. Furthermore, major upsets in other college football games might shift overall perceptions of team strength and influence betting behavior. Even public opinion, as reflected in polls or analyst predictions, could contribute to shifts in this market, as traders react to the evolving narrative surrounding the game.