TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Siena
- Kalshi
Siena - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 2, 2026
Time left: 07h:23m:41s
$
This event group concerns the outcome of a college basketball game between the Siena Saints and the Bryant Bulldogs on November 2nd. Markets ask whether Siena or Bryant will win the game, with provisions for handling postponements or cancellations.
This event is for the CBB game between Siena Saints and Bryant Bulldogs on November 2 at 8:00PM 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 official winner of the Siena vs Bryant men’s college basketball game scheduled for November 2, 2026. If the game is postponed but starts within 48 hours of the 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 is not affiliated with the NCAA, and all trademarks remain property of their respective owners.
This event is for the CBB game between Siena Saints and Bryant Bulldogs on November 2 at 8:00PM 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, incorporating a profit margin. In contrast, this market allows traders to freely express their beliefs, leading to odds that can diverge from sportsbook lines. These differences can arise from varying information access, analytical approaches, or simply differing opinions among participants. Monitoring both can provide a more comprehensive view of the event’s potential outcomes.
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 may differ due to variations in user base, trading volume, and market design. Each platform attracts a different set of traders with potentially varying expertise and information. Furthermore, the specific rules and fee structures on each platform can influence trading behavior and price discovery. Lower volume on one platform can also lead to greater price volatility and divergence. Even with the same underlying event, these factors contribute to distinct price formations across Polymarket and Kalshi.
This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official result of the Siena Saints versus Bryant Bulldogs game. The platform will verify the outcome against widely available and trusted sources to ensure accuracy and transparency. Traders who correctly predicted the outcome will be rewarded based on the odds at the time of their trade, while those who predicted incorrectly will forfeit their stake.
Several factors could influence the price of this market before Nov 3, 2026. Key player injuries or suspensions on either the Siena Saints or Bryant Bulldogs would likely cause significant shifts in probabilities. Unexpected news regarding team performance, coaching changes, or even weather conditions could also impact trader sentiment. Furthermore, large-volume trades on either Polymarket or Kalshi can create momentum and drive price movements. Monitoring these signals and staying informed about the teams involved will be crucial for understanding potential market fluctuations.