TOTAL VOLUME:

$154.3b

24H VOL:

$219,029,434

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,869,293,526

411,051

Markets across

40,408

events

MATCHED EVENTS:

4,377

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Rutgers vs Maryland
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What is the result of Rutgers vs Maryland?

Volume:
$2,483,920

Rutgers

 - Kalshi

Rutgers - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 4:05 PM EST

kalshi

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
$1,220,766
N/A
N/A
$499,767
Settled
Yes
kalshi

Maryland

0%
Yes 0¢No 100¢
—
N/A
$1,263,155
N/A
N/A
$647,790
Settled
No
Total markets: 2

Intro

This market tracks whether Rutgers will win its college football game against Maryland. Currently, Kalshi gives Rutgers a win probability of 84.0%, while Maryland is at 15.0%. The market resolves based on the outcome of the Rutgers vs Maryland college football game originally scheduled for October 16, 2026, as reported by the game’s official result. Keep a close eye on the game itself on October 16, 2026, as the result of that contest will determine the market’s resolution.

Kalshi

The market resolves to Yes for the respective team if they win the college football game originally scheduled for October 16, 2026. If the game is postponed but begins within 48 hours of the originally scheduled start time, the market stays open and resolves based on the official final result. If the game is cancelled or not started within 48 hours of the original schedule, the market resolves to a fair price. Kalshi is not associated with the NCAA, and all trademarks are the property of their respective owners.

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 different outcomes shifts over time, reflecting the collective predictions of traders. Currently, the total volume for this market is $2,483,920, with $2,270,924 traded in the last 24 hours. This provides a real-time view of market sentiment regarding the outcome of this contest. The dashboard also highlights the most likely outcome according to traders on Kalshi.

Prediction market odds often reflect a different kind of wisdom than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market aggregates the beliefs of a diverse group of traders. Typically, prediction markets are considered more accurate forecasters of event outcomes than traditional betting markets, especially when a significant amount of volume is traded. However, sportsbook odds can still be a useful point of comparison, offering insight into public perception and potential biases. It’s common to see some initial divergence before the market approaches the event date.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Rutgers vs Maryland game, as reported by a trusted sports data source. Traders who correctly predicted the outcome will receive a payout based on the final market price at resolution. This allows for a clear and objective determination of the winning outcome, ensuring fairness and transparency for all participants in this market.

Several factors could influence the price movement of this market. Any significant news regarding team injuries, coaching changes, or unexpected player performance could shift trader sentiment. Major upsets in other games involving these teams, or changes in weather forecasts impacting game conditions, could also play a role. Public opinion, as reflected in polls and expert analysis, can also indirectly affect trading activity. Monitoring these signals and understanding their potential impact is key to successful trading in this market.