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%
Santa Clara
- Kalshi
Santa Clara - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 3, 2026
Time left: 08h:24m:17s
$
This event group concerns the outcome of a college basketball game between the Towson Tigers and the Santa Clara Broncos, scheduled for November 2nd. Markets ask who will win the game, with provisions for handling postponements and cancellations.
This event is for the CBB game between Towson Tigers and Santa Clara Broncos on November 2 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 to Yes for the specified team if they win the men's college basketball game originally scheduled for November 2, 2026. Should the game be postponed but commence within 48 hours of its scheduled start, the market stays open and resolves according to the final outcome. If the game is cancelled or fails to start within 48 hours, both markets settle at a fair price. Kalshi holds no affiliation with the NCAA, and all trademarks remain with their respective owners.
This event is for the CBB game between Towson Tigers and Santa Clara Broncos on November 2 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 on Polymarket and Kalshi for this market, often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks primarily aim to balance their books and profit from margins, while prediction markets incentivize participants to express their genuine beliefs about the outcome. This can lead to prediction markets being more accurate, particularly when significant information isn’t yet reflected in sportsbook lines. However, sportsbooks typically offer more diverse betting options than are currently available in this market. The current volume of $5,482 suggests growing interest in this event.
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 diverge due to several factors. Each platform attracts a different user base with varying expertise and information. Trading mechanisms also differ; Polymarket may have different order types or fee structures than Kalshi, influencing price discovery. Furthermore, the volume traded on each platform – currently $4,305 in the last 24 hours – can impact price volatility and create temporary discrepancies. These differences contribute to a more robust and informative overall market signal, even if the prices aren't identical.
This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Towson vs. Santa Clara game will be used to determine the winning outcome. The platform will verify the final score against publicly available and trusted sources to ensure accuracy and transparency. Traders who correctly predicted the outcome will be paid out according to the final market prices at the time of resolution. The resolution process is designed to be objective and based on verifiable data.
Several signals could significantly impact this market before it resolves around Nov 3, 2026. Key player injuries or suspensions for either Towson or Santa Clara would likely cause substantial shifts in probabilities. Unexpected news regarding team strategies, coaching changes, or even weather conditions could also influence trader sentiment. Major upsets in other games involving these teams, or significant changes in public perception based on media coverage, could also move the market. Monitoring these factors will be crucial for understanding the evolving predictions on Polymarket and Kalshi.