TOTAL VOLUME:

$154.1b

24H VOL:

$185,665,189

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,833,875,329

407,365

Markets across

40,470

events

MATCHED EVENTS:

4,365

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Rutgers vs Maryland: 2nd Quarter Winner
kalshi

What is the result of Rutgers vs Maryland?

Volume:
$8,045

Maryland

 - Kalshi

Maryland - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 2:06 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

Maryland

View
100%
Yes 100¢No 0¢
—
N/A
$3,619
N/A
N/A
$3,568
Settled
Yes
kalshi

Rutgers

0%
Yes 0¢No 100¢
—
N/A
$2,565
N/A
N/A
$2,457
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,861
N/A
N/A
$1,841
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second quarter of a college football game between Rutgers and Maryland. It provides a way to speculate on short-term performance during a specific segment of the game, rather than the overall result.

Kalshi

If Maryland wins the 2nd quarter of the Rutgers vs Maryland college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Rutgers wins the 2nd quarter 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 2nd quarter 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 2nd quarter market tracks the current odds offered for each team to win the second quarter, along with a price history showing how those odds have changed over time. You can also see the total 24-hour volume traded on this market, currently at $2,083, and the overall volume since the market opened, which is $8,045. This allows you to gauge market sentiment and trading activity related to the potential winner of the second quarter of this college football game.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance betting action, while this market allows traders to express their own beliefs about the probability of each outcome. Often, you’ll find that prediction markets are more accurate forecasts than traditional odds, especially as the event approaches and more information becomes available. However, sportsbook odds may offer different value depending on your own assessment of the 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 second quarter. The price of a contract reflects the market's collective belief about that outcome's likelihood. As more traders participate, the price adjusts to reflect new information and opinions. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price indicates what traders are willing to pay for a contract that pays out if their chosen team wins the second quarter, and it’s a dynamic measure of expectation.

This market resolves around Oct 17, 2026, with the outcome confirmed once the winner of the second quarter is verifiable from credible public reporting. The team leading at the end of the second quarter, as officially recorded by game officials, will be declared the winner for the purposes of this market. The resolution process relies on publicly available game results and does not involve subjective interpretation or external data feeds beyond official scores.

Several factors could influence the price of this market. Any news regarding player injuries, changes in coaching strategy, or even weather conditions could shift trader sentiment. Unexpected performance in the first quarter of the game, or even pre-game reports about team morale, could also cause significant movement. Furthermore, large volume trades from informed participants could quickly alter the odds, reflecting new insights or a change in overall market perception. Monitoring these signals can help you understand potential shifts in the market.