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%
VS.
Kalshi:
61%
Closed: Sep 26, 2:09 PM EST
Kalshi
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.
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.
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.