TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Rutgers vs Northwestern: 2nd Half Winner
kalshi

What is the result of Rutgers vs Northwestern?

Volume:
$5,140

Northwestern

 - Kalshi

Northwestern - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 3:27 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

Northwestern

View
100%
Yes 100¢No 0¢
—
N/A
$903
N/A
N/A
$747
Settled
Yes
kalshi

Rutgers

0%
Yes 0¢No 100¢
—
N/A
$4,231
N/A
N/A
$3,871
Settled
No
kalshi

Tie

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

Description

This market focuses on determining which team will score more points in the second half of a college football game between Rutgers and Northwestern. It specifically tracks performance from halftime onward, including any overtime periods, to decide the outcome.

Kalshi

If Northwestern wins the 2nd half (including overtime) of the Rutgers vs Northwestern college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Rutgers wins the 2nd half (including overtime) of the Rutgers vs Northwestern college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 2nd half (including overtime) of the Rutgers vs Northwestern college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Rutgers-Northwestern 2nd half market tracks the current price of contracts predicting which team will win the second half. You can view the price history to see how the market has moved over time, as well as the 24-hour trading volume, which currently stands at $5,045. The total volume traded on this market is $5,140. This allows you to gauge overall interest and activity in the market, providing insight into where traders are placing their bets for the second half of the game.

Generally, prediction market odds reflect the wisdom of the crowd and can sometimes differ from those offered by sportsbooks. Sportsbooks set initial lines to balance action, while this market’s price is driven purely by supply and demand among traders. If a significant number of traders believe Rutgers is likely to win the second half, the price for Rutgers will increase, potentially moving beyond what sportsbooks are offering. Discrepancies can arise due to differing information, biases, or simply variations in opinion about the likely outcome of the game.

On Kalshi, this market is priced through a continuous order book, meaning traders buy and sell contracts representing their belief about the outcome. The price of a contract ranges from 0 to 100, representing the probability of that outcome occurring. A price of 50 indicates a 50% probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders dynamically adjust these prices based on new information and their own analysis, creating a real-time assessment of the likelihood of each team winning the second half. The current price reflects the collective judgment of all participants in this market.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official result of which team won the second half of the Rutgers versus Northwestern game will determine the winning contract. The resolution will be based on the official game statistics and score as reported by a trusted sports data source. The platform will verify the outcome against these sources to ensure an accurate and transparent resolution process for all traders.

Several factors could influence the price of this market before resolution. Any news regarding player injuries, changes in coaching strategy, or even weather conditions could shift trader sentiment. A strong performance by one team in the first half could also significantly impact the market, as traders adjust their predictions based on observed gameplay. Unexpected events during the game, such as key turnovers or penalties, could also cause rapid price movements in this market as traders react to the unfolding events.