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$154.4b

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$230,589,906

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2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

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40,213

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MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

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37%

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Northwestern vs Michigan St.: 1st Half Winner
kalshi

What is the result of Northwestern vs Michigan St.?

Volume:
$30,103

Michigan St.

 - Kalshi

Michigan St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 1:42 PM EST

kalshi

Kalshi

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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

Michigan St.

View
100%
Yes 100¢No 0¢
—
N/A
$5,680
N/A
N/A
$4,220
Settled
Yes
kalshi

Northwestern

0%
Yes 0¢No 100¢
—
N/A
$19,119
N/A
N/A
$9,438
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$5,304
N/A
N/A
$3,475
Settled
No
Total markets: 3

Description

This market tracks which team will lead at the end of the first half in an upcoming college football game between Northwestern and Michigan State. It focuses solely on the performance during the initial 30 minutes of play, ignoring the final outcome of the full game. The result depends exclusively on who holds the advantage when the first half concludes.

Kalshi

If Michigan St. wins the 1st half of the Northwestern vs Michigan St. college football game originally scheduled for Oct 16, 2026, then the market resolves to Yes. If Northwestern wins the 1st half of the Northwestern vs Michigan St. college football game originally scheduled for Oct 16, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Northwestern vs Michigan St. college football game originally scheduled for Oct 16, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Northwestern vs Michigan State game tracks the current odds of each team winning the first half, along with the trading volume. You can view the price history to see how the market has moved over time and observe the 24-hour volume to gauge recent trading activity. Currently, the total volume for this market is $30,103, and the 24-hour volume is $26,192. This provides a real-time view of how PredictionHero users are assessing the likelihood of each outcome in the first half of the game.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from initial sportsbook lines which are often set by experts. Sportsbooks may incorporate factors like public perception or team news more quickly, while this market allows traders to weigh information and adjust probabilities based on their own analysis. It’s common to see prediction markets move independently of sportsbook odds as new information becomes available and traders react to it. Over time, prediction markets have shown a strong ability to forecast event outcomes, sometimes outperforming traditional methods.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market’s probability of that outcome occurring; a higher price indicates a greater perceived chance of success. 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 new information and their own predictions, leading to dynamic price movements. The current market depth shows the available contracts at different price points, giving you insight into the supply and demand for each outcome.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the first half of the Northwestern vs Michigan State game will determine the winning contract. The result will be based on the official game statistics as reported by a trusted sports data source. Traders holding the winning contract will receive a payout based on the final market price at resolution, while those holding losing contracts will forfeit their investment.

Several factors could influence this market before resolution. Any significant news regarding player injuries, changes in coaching strategies, or unexpected weather conditions could shift trader sentiment. Real-time game performance during the first quarter, such as key plays or scoring drives, will likely cause rapid price adjustments. Public perception and media coverage surrounding the game can also play a role, as traders react to the overall narrative. Unexpected announcements or developments related to either team could also lead to substantial movements in the market.