TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 9:31 PM EST
Kalshi
These markets focus on predicting the point differential in the third quarter of a college football game between San Diego State and UCLA. Outcomes depend solely on which team scores more points during that specific quarter and by how much.
All markets resolve based exclusively on points scored during the third quarter of the designated San Diego State vs UCLA college football game. A 'Yes' outcome occurs when the specified team wins that quarter by exceeding the stated point margin. If the game is postponed but commences within 48 hours of its original schedule, markets remain active and resolve per the actual third-quarter result. Should the game fail to start within this window, all markets settle at a fair price. No broader game results or full-match statistics influence resolution; only third-quarter performance matters.
Prediction market odds often reflect the wisdom of the crowd, and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and to balance action, while this market aggregates the beliefs of many individual traders. It’s common to see discrepancies, especially before significant events or when public sentiment strongly favors one outcome. These differences can present opportunities for informed traders who believe the market has mispriced the probability of a particular result. Examining both sources can provide a more comprehensive view of expectations for the San Diego St vs UCLA game.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the third quarter. The price of each contract reflects the market's assessment of the probability of that spread occurring. As more traders buy a contract, its price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations as the game approaches. Trading volume and order flow are key indicators of market sentiment and potential price movements.
This market resolves around Sep 13, 2026, with the outcome confirmed once the official result of the San Diego St vs UCLA 3rd quarter spread is verifiable from credible public reporting. The final point spread achieved in the third quarter will be compared to the contract spreads offered on Kalshi to determine which contracts will pay out. The resolution process is designed to be objective and based on publicly available data, ensuring a transparent and reliable outcome for all participants in this market.
Several signals could influence trading activity in this market. Any news regarding injuries to key players on either the San Diego St or UCLA teams would likely cause significant shifts in the price of contracts. Changes in weather forecasts, particularly if they are expected to impact the game's style of play, could also be a factor. Furthermore, any major line movements observed at traditional sportsbooks might prompt traders to reassess their positions. Public sentiment, reflected in social media or other polls, could also contribute to price fluctuations as traders react to perceived shifts in momentum.