TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 3:14 PM EST
Kalshi
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.
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.
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.