TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 5:20 PM EST
Kalshi
This market focuses on determining which team will score more points in a specific quarter of a college football game between UCLA and Oregon. It tracks performance during a defined segment of play, offering a granular view of in-game dynamics rather than overall game results.
If Oregon wins the 2nd quarter of the UCLA vs Oregon college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If UCLA wins the 2nd quarter of the UCLA vs Oregon college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the UCLA vs Oregon college football game originally scheduled for Oct 10, 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 statistical models and expert analysis, while this market incorporates a broader range of information and perspectives from many traders. If sportsbook odds heavily favor one team, but volume in this market is distributed more evenly, it could suggest that prediction market participants believe the outcome is less certain than implied by the sportsbook. It’s a valuable comparison to consider when forming your own opinion.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each team winning the second quarter. The price of a contract reflects the market’s collective belief about that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect new information and changing expectations. The higher the price of a contract, the greater the implied probability of that outcome, and vice versa. Traders aim to profit by accurately predicting the outcome and capitalizing on price discrepancies.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the second quarter of the UCLA vs Oregon 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 adjust their strategies based on the final result.
Several factors could influence the trading activity in this market. Any news regarding player injuries, changes in team strategy, or even weather conditions could shift expectations and impact the odds. Unexpected performance in the first quarter of the game would likely cause significant movement, as traders react to the unfolding events. Public sentiment and media coverage can also play a role, influencing the flow of capital into and out of different contracts. Monitoring these signals can help you understand potential shifts in this market.