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, 6:15 PM EST
Kalshi
This market tracks the total points scored by both teams during a specific quarter of a college football game. Bettors predict whether the combined score will exceed certain thresholds, offering varying levels of difficulty and potential return.
All markets resolve based on the total points scored by both teams specifically during the third quarter of the UCLA vs Oregon college football game scheduled for October 10, 2026. Each market has a different threshold (ranging from 2.5 to 27.5 points), with the market resolving to 'Yes' if the combined third-quarter points exceed the specified threshold. If the game is postponed but starts within 48 hours of the original time, the market remains active and resolves based on the actual result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants. Only points scored during the third quarter count toward resolution, and Kalshi explicitly states it is not affiliated with the NCAA.
On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing their belief about the outcome of the UCLA vs Oregon 3rd quarter total points. 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. Traders are incentivized to provide accurate predictions, as profitable trades depend on correctly anticipating the market's direction. The more traders who believe an outcome is likely, the higher the contract price will rise, and vice versa.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the 3rd quarter between UCLA and Oregon will be used to determine whether the total points scored fall above or below the threshold defined by the market. The resolution will be based on official game statistics, ensuring a transparent and objective determination of the result. Traders will then be paid out or have their contracts settled based on the final outcome.
Several factors could influence this market leading up to and during the game. Injury reports for key players on either the UCLA or Oregon teams would be significant, as they directly impact scoring potential. Unexpected changes in weather conditions, such as heavy rain or strong winds, could also affect the game's pace and scoring. Furthermore, in-game performance – early scoring drives, turnovers, or defensive adjustments – could all cause the market to react and shift prices as traders adjust their expectations based on the unfolding events.