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$154.6b

24H VOL:

$333,432,169

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2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

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MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

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Rutgers vs Maryland: 1st Quarter Winner
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What is the result of Rutgers vs Maryland?

Volume:
$6,320

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 1:18 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
$1,348
N/A
N/A
$1,325
Settled
Yes
kalshi

Maryland

0%
Yes 0¢No 100¢
—
N/A
$4,387
N/A
N/A
$3,643
Settled
No
kalshi

Rutgers

0%
Yes 0¢No 100¢
—
N/A
$585
N/A
N/A
$503
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between Rutgers and Maryland. It focuses solely on the scoring dynamics of the opening quarter, ignoring the rest of the game’s outcome. The result depends on whether Rutgers, Maryland, or neither team (in case of a tie) scores more points in that initial period.

Kalshi

If Maryland wins the 1st 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 1st 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 1st 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 game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of each outcome shifts over time as traders buy and sell contracts. Currently, the total volume for this market is $6,299, with $6,299 traded in the last 24 hours. This provides a real-time view of where the crowd stands on who will win the first quarter of this college football matchup.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to freely express their beliefs, potentially leading to more accurate probabilities. However, as the event approaches, sportsbook odds and the prices seen here may converge as more information becomes available and both markets react to news and analysis. It's common to see discrepancies, especially early on, as differing factors influence each type of market.

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 implied probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect the collective assessment of the event. The current price indicates what a trader would pay to own a contract that pays out if their predicted outcome wins the first quarter of 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 winner of the first quarter of the Rutgers vs Maryland game will determine the winning contract. The official result, as reported by a trusted sports data provider, will be used to settle this market. Traders holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will not.

Several factors could influence the price of this market. News regarding key player injuries for either Rutgers or Maryland would likely cause significant movement. Unexpected changes in weather conditions, such as heavy rain or strong winds, could also impact the perceived likelihood of each team winning the first quarter. Additionally, any major shifts in public sentiment, perhaps driven by expert analysis or updated betting trends, could lead to price adjustments as traders react to new information and refine their predictions.