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%
Time left: 03d:00h:18m
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This event group concerns the outcome of a college basketball game between Cornell Big Red and Lehigh Mountain Hawks, originally scheduled for November 5, 2026. The markets resolve to either Cornell winning or Lehigh winning, with a no-result provision for cancellation or abandonment.
In the upcoming CBB game between Cornell Big Red and Lehigh Mountain Hawks, originally scheduled for Thursday, November 5, 2026 at 7:00 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 Saturday, November 7, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
The event resolves based on the official result of the Cornell vs Lehigh men's college basketball game scheduled for November 5, 2026. If either team wins the game as officially recorded, the corresponding market will resolve to Yes. Should the game be postponed but commence within 48 hours of its original scheduled start time, the market remains open and resolves according to the final official result. If the game is cancelled or fails to start within 48 hours of the scheduled time, both markets resolve to a fair price, ensuring equitable treatment for all participants. Kalshi clarifies that it holds no official affiliation with the NCAA, and all trademarks remain property of their respective owners.
In the upcoming CBB game between Cornell Big Red and Lehigh Mountain Hawks, originally scheduled for Thursday, November 5, 2026 at 7:00 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 Saturday, November 7, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
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. Price discrepancies between Polymarket and Predict for the Cornell vs. Lehigh game can occur due to variations in trader demographics, market liquidity, and differing interpretations of available information. Polymarket may attract a different user base than Predict, leading to distinct betting patterns. Additionally, the volume on each platform influences price discovery; lower volume can result in greater price volatility. These factors contribute to the observed differences in probabilities, even though both markets ultimately aim to predict the same outcome.
This market resolves around Nov 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official outcome of the Cornell vs. Lehigh game, as reported by a recognized sports authority. The platform will verify the final score and declare the winning outcome based on this publicly available information. Traders will then be able to claim their winnings or adjust their positions based on the verified result. This ensures a transparent and objective resolution process for this market.
Several factors could influence the price of this market before Nov 6, 2026. Any news regarding team injuries, changes in coaching staff, or significant shifts in player performance could impact predictions. Unexpected weather conditions on game day could also play a role. Furthermore, large trading volume from informed participants could signal new information or a change in sentiment. Public opinion and media coverage surrounding the game could also contribute to price movements, as traders react to evolving narratives and expectations. Monitoring these signals can help assess potential shifts in this market.