TOTAL VOLUME:

$154.4b

24H VOL:

$235,918,089

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,884,820,873

413,109

Markets across

40,428

events

MATCHED EVENTS:

4,364

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Rutgers vs Maryland: 4th Quarter Winner
kalshi

What is the result of Rutgers vs Maryland?

Volume:
$15,867

Rutgers

 - Kalshi

Rutgers - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 4:08 PM EST

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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

Rutgers

View
100%
Yes 100¢No 0¢
—
N/A
$7,103
N/A
N/A
$5,693
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$7,118
N/A
N/A
$5,407
Settled
No
kalshi

Maryland

0%
Yes 0¢No 100¢
—
N/A
$1,646
N/A
N/A
$1,420
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points specifically in the fourth quarter of a college football game between Rutgers and Maryland. It highlights the importance of late-game performance, where momentum and strategy often decide the outcome of the final quarter.

Kalshi

If Maryland wins the 4th quarter (excluding overtime) of the Rutgers vs Maryland college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Rutgers wins the 4th quarter (excluding overtime) of the Rutgers vs Maryland college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 4th quarter (excluding overtime) of the Rutgers vs Maryland college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Rutgers vs Maryland game tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how traders are pricing the likelihood of each team winning the fourth quarter. Currently, the total volume traded on this market is $15,867, with $5,919 traded in the last 24 hours. This allows you to see how sentiment shifts as new information becomes available and how actively people are trading on this particular outcome. The dashboard provides a real-time view of the market’s dynamics.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which may be influenced by factors like house bias or initial public perception. Sportsbooks typically set lines to balance betting action and ensure profitability, while this market relies on individuals directly expressing their beliefs about the probability of each team winning the fourth quarter. It’s common to see discrepancies, especially before significant events or when new information emerges. Comparing the two can offer a broader perspective on the perceived likelihood of different outcomes for the Rutgers vs Maryland game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each team winning the fourth quarter. The price of a contract directly reflects the market’s assessment of that outcome's likelihood; a higher price indicates a greater perceived chance of occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders adjust their bids and asks based on their own analysis and expectations, creating a dynamic pricing mechanism. This means the odds are constantly evolving as new information becomes available and more people participate in the market for the Rutgers vs Maryland game.

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 fourth quarter of the Rutgers vs Maryland game will be declared the winner of this market. The resolution will be based on the official game results as reported by a trusted sports data source. The platform will verify the outcome against these sources to ensure accuracy and transparency, finalizing the settlement for all participants in this market.

Several factors could influence the trading activity in this market before resolution. Key injuries to star players on either the Rutgers or Maryland team would likely cause significant shifts in the odds. Unexpected news regarding team strategy or coaching changes could also impact trader sentiment. Even real-time game developments during the first three quarters – such as a dominant performance by one team – could lead to substantial price movements. Public perception, fueled by media coverage and expert analysis, can also play a role in shaping the market’s direction until the final whistle.