TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Rutgers vs Maryland: 1st Half Team Total
kalshi

What is the result of Rutgers vs Maryland?

Volume:
$4,030

Maryland over 20.5 points

 - Kalshi

Maryland over 20.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 2:10 PM EST

kalshi

Kalshi

View
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 over 20.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$1,634
N/A
N/A
$1,545
Settled
Yes
kalshi

Rutgers over 10.5 points

100%
Yes 100¢No 0¢
—
N/A
$449
N/A
N/A
$449
Settled
Yes
kalshi

Maryland over 8.5 points

100%
Yes 100¢No 0¢
—
N/A
$325
N/A
N/A
$325
Settled
Yes
kalshi

Rutgers over 7.5 points

100%
Yes 100¢No 0¢
—
N/A
$325
N/A
N/A
$325
Settled
Yes
kalshi

Rutgers over 2.5 points

100%
Yes 100¢No 0¢
—
N/A
$324
N/A
N/A
$324
Settled
Yes
kalshi

Maryland over 14.5 points

100%
Yes 100¢No 0¢
—
N/A
$314
N/A
N/A
$314
Settled
Yes
kalshi

Maryland over 11.5 points

100%
Yes 100¢No 0¢
—
N/A
$271
N/A
N/A
$271
Settled
Yes
kalshi

Maryland over 2.5 points

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

Maryland over 5.5 points

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

Maryland over 17.5 points

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

Rutgers over 4.5 points

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

Rutgers over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$270
N/A
N/A
$187
Settled
No
kalshi

Maryland over 23.5 points

0%
Yes 0¢No 100¢
—
N/A
$108
N/A
N/A
$108
Settled
No
kalshi

Maryland over 26.5 points

0%
Yes 0¢No 100¢
—
N/A
$1
N/A
N/A
$1
Settled
No
kalshi

Rutgers over 22.5 points

0%
Yes 0¢No 100¢
—
N/A
$1
N/A
N/A
$1
Settled
No
kalshi

Rutgers over 16.5 points

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

Rutgers over 19.5 points

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

Rutgers over 25.5 points

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 18

Description

This set of markets tracks how many points each team scores in the first half of an upcoming college football game. Participants can speculate on whether a team will exceed various scoring thresholds within that timeframe.

Kalshi

All markets resolve based on the official points scored by each team in the first half of the Rutgers vs Maryland college football game scheduled for October 17, 2026. Each market has a specific threshold for Maryland or Rutgers: if the designated team scores more than the stated threshold (e.g., Maryland over 2.5 points, Rutgers over 10.5 points), that market resolves to Yes; otherwise, it resolves to No. If the game is postponed but starts within 48 hours of the original time, all open markets remain active and resolve based on the final result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of when or if the game is played.

Frequently asked questions

On Kalshi, the dashboard for the Rutgers vs Maryland 1st half market displays the current price, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes has shifted over time, giving you insight into where the crowd currently believes the game is headed. The current volume is $4,030, and the total volume traded on this market is $4,030. This allows you to gauge market interest and potential liquidity for your trades. The dashboard provides a real-time view of how traders are assessing the potential for each team's first-half performance.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals trading based on their own information and analysis. As a result, prediction markets often provide more accurate forecasts, particularly closer to the event, as more information becomes available and is incorporated into the price. It's common to see discrepancies, especially early on, as the market develops its own consensus.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing different potential outcomes. The price of a contract reflects the market's collective probability of that outcome occurring. As more traders participate, the price adjusts to reflect the latest information and sentiment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market price is determined solely by supply and demand among traders on Kalshi, and there is no central bookmaker setting the odds. This dynamic pricing mechanism allows for a highly liquid and informative market.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official first-half team totals for Rutgers and Maryland will be used to determine the winning contracts. The resolution will be based on the official statistics reported by the governing body of college basketball. Traders will be able to see the final results and contract payouts shortly after the game concludes and the official data is released. The outcome is determined by the actual game results, not by any subjective judgment.

Several factors could significantly influence this market. Any news regarding key player injuries or suspensions for either Rutgers or Maryland would likely cause a shift in the odds. Changes in weather conditions, if the game is played outdoors, could also play a role. Furthermore, late-breaking news about team strategies or coaching decisions could impact trader sentiment. Even significant shifts in public perception, driven by media coverage or expert analysis, can move the market. Finally, large volume trades on Kalshi itself can create short-term price fluctuations.