TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

61%

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UCLA vs Maryland: 1st Quarter Winner
kalshi

What is the result of UCLA vs Maryland?

Volume:
$30,797

Tie 1st Quarter

 - Kalshi

Tie 1st Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 26, 2026

Closed: Sep 26, 2:09 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 1st Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$14,224
N/A
N/A
$11,524
Settled
Yes
kalshi

UCLA wins 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$10,121
N/A
N/A
$5,497
Settled
No
kalshi

Maryland wins 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$6,453
N/A
N/A
$3,859
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between UCLA and Maryland. It reflects the competitive momentum and scoring efficiency of each team within the opening segment of the match.

Kalshi

If Maryland wins the 1st quarter of the UCLA vs Maryland college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If UCLA wins the 1st quarter of the UCLA vs Maryland college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the UCLA vs Maryland college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the UCLA vs Maryland 1st quarter market displays the current price of each outcome—which team will win the first quarter—along with a price history chart showing how those prices have fluctuated over time. You can also see the 24-hour trading volume, currently at $23,448, and the total overall volume traded in this market, which is $30,797. This provides a real-time view of how traders are assessing the likelihood of each team winning the opening quarter of the game.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on power rankings and expert analysis, while this market allows anyone to trade on their beliefs. If a significant number of traders believe a sportsbook is undervaluing a particular team's chances, the price in this market will adjust accordingly. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the same data. It’s common to see this market move in opposition to early sportsbook movements.

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 indicates the probability of that outcome occurring, as perceived by the market participants. As more traders buy contracts for a specific team, the price increases, reflecting growing confidence in their chances. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts to new information and changing sentiment, offering a real-time assessment of the likely first-quarter winner.

This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which team is officially declared the winner of the first quarter of the UCLA vs Maryland game by the official game statistics. The official result will be used to determine which contracts pay out, and at what value. 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 before resolution. Any news regarding injuries to key players on either the UCLA or Maryland teams would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game's style of play, could also shift trader sentiment. Furthermore, late-breaking news about team strategies or coaching decisions could also impact the market. Even public perception and betting trends observed elsewhere might influence trading activity in this market.