TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Northwestern vs Michigan St.: 2nd Quarter Winner
kalshi

What is the result of Northwestern vs Michigan St.?

Volume:
$3,717

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 1:42 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

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$1,411
N/A
N/A
$1,294
Settled
Yes
kalshi

Northwestern

0%
Yes 0¢No 100¢
—
N/A
$1,262
N/A
N/A
$1,068
Settled
No
kalshi

Michigan St.

0%
Yes 0¢No 100¢
—
N/A
$1,044
N/A
N/A
$989
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of an upcoming college football game between Northwestern and Michigan State. It provides a way to speculate on short-term performance during the second quarter of the contest.

Kalshi

If Michigan St. wins the 2nd quarter of the Northwestern vs Michigan St. college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Northwestern wins the 2nd quarter of the Northwestern vs Michigan St. college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Northwestern vs Michigan St. college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Northwestern vs Michigan State game tracks the current price of each outcome – which team will win the 2nd quarter – along with a price history chart showing how those prices have fluctuated over time. You’ll also find the 24-hour trading volume, currently at $3,717, and the total volume traded to date, which is $3,717. This allows you to see how much activity there is in this market and how sentiment is shifting as people buy and sell contracts predicting the 2nd quarter winner.

Prediction market odds often reflect the wisdom of the crowd, and can differ from 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 trade based on their own information and beliefs. It's common to see discrepancies, especially as new information emerges or public sentiment shifts. Generally, prediction markets tend to be more accurate than traditional polls, but comparing them to sportsbook odds can provide a broader perspective on the perceived probabilities of each outcome.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, which team wins the 2nd quarter. The price of a contract represents the probability of that outcome occurring, as perceived by the market participants. As more people buy contracts for a particular outcome, its price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts to incorporate new information and changing opinions, providing a real-time assessment of the likely winner.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the 2nd quarter of the Northwestern vs Michigan State game will be declared the winner of this market. The resolution will be based on official game statistics and verified against credible public sources. Trading will cease once the outcome is known, and contracts will be settled accordingly, paying out $1.00 per contract for the winning outcome and $0.00 for all others.

Several factors could influence the price movement of this market. Any news regarding player injuries, changes in coaching strategy, or even weather conditions could impact perceptions of each team’s chances. Unexpected performance in the first quarter of the game will likely cause significant shifts in the market, as traders react to the unfolding events. Public sentiment, reflected in social media and sports news, can also play a role, although the market tends to be more driven by informed trading activity than general hype.