TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 4:24 PM EST
Kalshi
This set of markets tracks the total points scored by both teams in the first quarter of an upcoming college football game. Each market corresponds to a different threshold of points, allowing participants to speculate on whether the combined score will exceed specific values.
All markets resolve based on the total points scored by both teams combined during the first quarter of the UCLA vs Oregon college football game scheduled for October 10, 2026. Each market has a specific threshold (e.g., 2.5, 5.5, up to 27.5 points); if the actual combined score exceeds the threshold, the market resolves to 'Yes.' If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the final result. If the game does not start within 48 hours, all markets resolve to a fair price. Only points scored in the first quarter count toward resolution.
Prediction market odds often reflect the wisdom of the crowd, which can differ from sportsbook odds established by professional oddsmakers. Sportsbooks may initially set lines to balance action, while this market aggregates the beliefs of many individuals. It’s common to see discrepancies, especially early on, as prediction markets can incorporate information and perspectives that sportsbooks might overlook. However, as the event approaches, the two may converge as more information becomes available and the market becomes more efficient. Analyzing these differences can provide valuable insights.
On Kalshi, this market is priced through a continuous double auction, meaning buyers and sellers set the price based on their expectations. Traders place bids (buy orders) and asks (sell orders), and the market price reflects the midpoint between the best bid and ask. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price represents the probability that the total score of the first quarter will be above that value. As more traders participate and new information emerges, the price will adjust to reflect the collective forecast. This dynamic pricing mechanism allows for efficient discovery of the market's expectation.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final total score of the first quarter between UCLA and Oregon will be used to determine whether the market settles above or below the contract value. The resolution will be based on official game statistics, ensuring a transparent and objective outcome. Traders will be able to see the final result and whether their predictions were accurate shortly after the game concludes.
Several factors could significantly influence this market. Any news regarding key player injuries for either UCLA or Oregon would likely cause price movement. Changes in weather conditions, particularly if they are expected to impact scoring, could also shift the market. Additionally, late-breaking news about team strategies or coaching decisions might influence trader sentiment. Finally, even significant shifts in public perception, driven by media coverage or social media, can impact the price as traders react to new information and adjust their forecasts.