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PLATFORM COVERAGE:

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UCLA vs Maryland: 1st Half Winner
kalshi

What is the result of UCLA vs Maryland?

Volume:
$92,798

UCLA wins 1st Half

 - Kalshi

UCLA wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 26, 2026

Closed: Sep 26, 3:14 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

UCLA wins 1st Half

View
100%
Yes 100¢No 0¢
100¢
N/A
$44,487
N/A
N/A
$26,482
Settled
Yes
kalshi

Maryland wins 1st Half

0%
42%
Yes 0¢No 100¢
100¢
N/A
$41,080
N/A
N/A
$33,248
Settled
No
kalshi

Tie 1st Half

0%
8%
Yes 0¢No 100¢
100¢
N/A
$7,232
N/A
N/A
$6,662
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between UCLA and Maryland. It focuses solely on which team leads at halftime, without considering the final game result. The market accounts for potential game delays or cancellations with specific resolution guidelines.

Kalshi

If Maryland wins the 1st half 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 half 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 half 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 half market provides a real-time view of how traders are pricing the likelihood of each team winning the first half. You can see the current odds, the price history showing how those odds have changed over time, and the 24-hour trading volume, which is currently $85,591. The total volume traded on this market is $92,798. This allows you to gauge market sentiment and track how predictions evolve as new information becomes available before the game.

Often, prediction market odds reflect a different perspective than those offered by traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market represents the collective wisdom of traders who are incentivized to accurately predict the outcome. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the teams' strengths. If you find significant differences between the odds here and those at a sportsbook, it could signal an opportunity for value betting, depending on your own assessment of the game.

On Kalshi, this market is priced through a continuous auction where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, the prices adjust dynamically, providing a real-time assessment of the likelihood of each team winning the first half. The market's efficiency stems from the incentive for traders to accurately forecast the result, leading to prices that often outperform traditional forecasting methods.

This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first half of the UCLA vs Maryland game will be declared the winner of this market. The resolution will be based on the official game results as reported by a trusted sports data source. Traders will then be able to claim their winnings or fulfill their losing positions based on the final result.

Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries or changes in starting lineups for either UCLA or Maryland would likely cause significant movement. Unexpected weather conditions, particularly if they impact the style of play favored by either team, could also shift the odds. Furthermore, late-breaking analysis from sports analysts or significant betting patterns observed elsewhere could all contribute to changes in the market’s pricing as traders react to new information and adjust their predictions.