TOTAL VOLUME:
$154.1b
24H VOL:
$181,481,432
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,827,991,073
405,996
Markets across
40,551
events
MATCHED EVENTS:
4,368
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Georgia Tech
- Kalshi
Georgia Tech - Kalshi
1W
News
Positive
Negative
Neutral
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Vol.
·
Resolves Nov 3, 2026
Time left: 01d:11h:07m
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This event group concerns the outcome of a college basketball game between the Hampton Pirates and the Georgia Tech Yellow Jackets, scheduled for November 3rd. The markets ask who will win the game, with provisions for postponed or canceled games.
This event is for the CBB game between Hampton Pirates and Georgia Tech Yellow Jackets on November 3 at 7:00PM 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 event resolves based on the official winner of the Hampton vs Georgia Tech men's college basketball game scheduled for November 3, 2026. If the game is postponed but starts within 48 hours of its original time, the market remains open and resolves according to the final result. If the game is cancelled or does not start within 48 hours of the scheduled time, both markets resolve to a fair price. Kalshi clarifies that it is not affiliated with the NCAA, and all trademarks remain property of their respective owners.
This event is for the CBB game between Hampton Pirates and Georgia Tech Yellow Jackets on November 3 at 7:00PM 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 on Polymarket and Kalshi, often reflect the collective wisdom of a diverse group of bettors, whereas sportsbook odds are typically set by a smaller team of professionals. This can lead to differences, as prediction markets may incorporate information not immediately factored into traditional sportsbooks. However, both aim to accurately predict the outcome of the Hampton vs. Georgia Tech game. Sportsbooks often adjust their lines based on betting action, similar to how prices change in prediction markets, but the underlying methodologies and participant pools differ. It’s useful to compare both to get a broader perspective.
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. Prices on Polymarket and Kalshi can diverge due to several factors. These platforms have different user bases, trading limits, and fee structures, all of which can influence price discovery. Furthermore, the liquidity available on each platform impacts how quickly prices react to new information. Currently, Polymarket currently favors Hampton Pirates vs. Georgia Tech Yellow Jackets at 25.0%, while Kalshi leans toward Georgia Tech wins at 90.0%. These differences highlight the independent nature of price formation on each exchange, even for the same underlying event.
This market resolves around Nov 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Hampton vs. Georgia Tech game, as reported by official sources, will determine the winning outcome. The platform will verify the result against these sources to ensure accuracy and finalize the market. The outcome will be based on the official result of the game, and any potential adjustments or corrections made by the governing sports body will be considered.
Several signals could significantly impact this market before it resolves around Nov 4, 2026. Key player injuries or suspensions for either Hampton or Georgia Tech would be major catalysts. Unexpected news regarding team morale, coaching changes, or even weather conditions could also shift the probabilities. Major media coverage or public endorsements could influence trader sentiment, particularly on Kalshi. Any significant updates related to the teams’ performance in preceding games or practices will likely be reflected in the market prices. Monitoring these factors will be crucial for understanding price movements.