TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Brown Bears vs. Lehigh Mountain Hawks
all
2 markets
Predict
Polymarket
consensus
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 8, 2026
Time left: 05d:20h:39m
$
This event group concerns a college basketball (CBB) game between the Brown Bears and the Lehigh Mountain Hawks. The markets resolve to which team wins the game, with a no-result provision if the game is cancelled or doesn't start by a specified date.
In the upcoming CBB game between Brown Bears and Lehigh Mountain Hawks, originally scheduled for Sunday, November 8, 2026 at 2:00 PM ET (as of creation of the first market related to the event): If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Tuesday, November 10, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
In the upcoming CBB game between Brown Bears and Lehigh Mountain Hawks, originally scheduled for Sunday, November 8, 2026 at 2:00 PM ET (as of creation of the first market related to the event): If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Tuesday, November 10, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
Prediction market odds, like those found on Polymarket and Predict, often reflect the collective wisdom of a diverse group of forecasters, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on statistical models and expert analysis, 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 diverges from expert opinion. While sportsbooks aim to profit from margins, prediction markets incentivize accurate forecasting. Therefore, comparing odds across both venues can provide a more nuanced understanding of the expected outcome of the Brown vs. Lehigh game.
Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. The differing prices on Polymarket and Predict for the Brown vs. Lehigh game stem from several factors. Each platform attracts a different user base with varying levels of expertise and access to information. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery. Furthermore, the specific mechanisms for trading and market creation differ between Polymarket and Predict, influencing how quickly and accurately probabilities are reflected in the prices. These factors contribute to the observed price discrepancies, even though both platforms address the same underlying question.
This market resolves around Nov 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Brown vs. Lehigh game will be used to determine the winning outcome. The market will settle based on the officially reported results, ensuring a transparent and objective resolution process. Traders should monitor official sources for the game’s final score to understand when and how this market will be settled. The outcome will be determined by the final score of the game.
Several signals could impact this market before Nov 8, 2026. Any news regarding injuries to key players on either the Brown Bears or the Lehigh Mountain Hawks would likely cause significant movement. Changes in team strategies, weather forecasts impacting game conditions, or even significant shifts in public sentiment could also influence trading activity. Unexpected announcements about coaching changes or player availability would also be catalysts. Monitoring sports news and team updates will be crucial for understanding potential shifts in the market’s price.