TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Gonzaga
- Kalshi
Gonzaga - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 2, 2026
Time left: 04h:19m:24s
$
This event group concerns the outcome of a college basketball game between Gonzaga and Purdue, scheduled for November 2nd. Markets predict which team will win the game, with provisions for postponed or canceled games.
This event is for the CBB game between Gonzaga Bulldogs and Purdue Boilermakers on November 2 at 7:30PM 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 official winner of the Purdue vs Gonzaga men's college basketball game scheduled for November 2, 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 fails to start within that 48-hour window, both markets resolve to a fair price, ensuring equitable treatment for all participants. Kalshi clarifies it holds no official affiliation with the NCAA, and all related trademarks remain property of their respective owners.
This event is for the CBB game between Gonzaga Bulldogs and Purdue Boilermakers on November 2 at 7:30PM 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 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 this market is driven by individuals willing to put their capital behind their beliefs. This can lead to discrepancies, especially when public sentiment strongly deviates from expert analysis. While sportsbooks may initially set odds based on power rankings and statistics, the dynamic nature of this market allows for rapid adjustments based on new information and changing perceptions. It’s a fascinating comparison to observe.
Differences in prices between Polymarket and Kalshi can arise from 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 attracts a different user base with varying levels of expertise and access to information, which can influence trading behavior. Trading volume also plays a role; a market with higher volume on one platform tends to have more efficient price discovery. Furthermore, the specific rules and fee structures of each platform can impact trading strategies and, consequently, prices. Currently, Polymarket currently favors Gonzaga Bulldogs vs. Purdue Boilermakers at 68.5%, while Kalshi leans toward Gonzaga wins at 69.0%.
This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Gonzaga vs. Purdue game, as reported by a widely recognized sports news source. Trading will cease once the result is known, and the market will settle accordingly. The outcome will be determined by which team wins the game, with no consideration for overtime or other specific game conditions beyond the final result.
Several factors could influence the price of this market before Nov 3, 2026. Any news regarding player injuries, changes in coaching strategies, or unexpected team performance in preceding games could shift trader sentiment. Significant media coverage or expert analysis predicting a change in the game’s dynamics could also have an impact. Even broader factors, such as weather conditions or public betting patterns on traditional sportsbooks, might indirectly influence trading activity. Monitoring these signals can provide insights into potential market movements and inform your trading decisions.