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%
San Diego St.
all
3 markets
Kalshi
Polymarket
Predict
consensus
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 4, 2026
Time left: 01d:08h:15m
$
This event group concerns the outcome of a college basketball game between Cal State Fullerton Titans and San Diego State Aztecs scheduled for November 3rd. Markets ask who will win the game, with provisions for postponed or canceled games.
This event is for the CBB game between Cal State Fullerton Titans and San Diego State Aztecs on November 3 at 10:00PM ET. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
The market resolves based on the outcome of the men's college basketball game between Cal State Fullerton and San Diego State scheduled for November 3, 2026. If San Diego State wins, the market for San Diego State resolves to Yes; if Cal State Fullerton wins, the market for Cal State Fullerton resolves to Yes. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, both markets will resolve to a fair price.
This event is for the CBB game between Cal State Fullerton Titans and San Diego State Aztecs on November 3 at 10:00PM ET. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Prediction market odds, like those found for this market, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow anyone to trade and express their opinion, leading to potentially more accurate probabilities. However, sportsbook odds are typically more liquid and readily available. Differences can arise due to varying information access, biases, and the incentives of participants in each venue. This market provides an alternative data point for assessing the likely outcome of the game.
Prices on Polymarket and Kalshi may diverge due to several factors. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has a different user base, trading volume, and fee structure, all of which can influence price discovery. Additionally, information flow and interpretation can vary between the two venues. Currently, Polymarket currently favors Cal State Fullerton at an implied probability, while Kalshi leans toward San Diego State. These differing probabilities reflect the unique perspectives of traders on each platform and their assessment of the available information regarding the Cal State Fullerton vs. San Diego State game.
This market resolves around Nov 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Cal State Fullerton vs. San Diego State game, as reported by official sources, will determine the winning outcome in this market. Traders will be able to see the final result and the corresponding payout based on their positions. The platform will verify the outcome against widely available and trusted sources to ensure accuracy and fairness for all participants.
Several signals could influence trading activity in this market before Nov 4, 2026. Any news regarding player injuries, changes in coaching strategies, or unexpected team performance in preceding games could significantly shift probabilities. Public sentiment, reflected in social media and sports news, can also impact trading volume and price movements. Major upsets in other related games or even weather forecasts affecting game-day conditions could also contribute to shifts in this market. Monitoring these factors can provide insights into potential changes in the perceived likelihood of different outcomes.