TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 8:22 PM EST
Kalshi
These markets evaluate different scoring thresholds for the second half of a college football game between Tulane and Duke. Each threshold represents a specific point total that, if exceeded by both teams combined, determines the outcome of that particular market.
All markets resolve based on the total points scored by both teams during the second half (excluding overtime) of the Tulane vs Duke college football game scheduled for September 5, 2026. For any market, if the combined score exceeds the specified threshold, it resolves to 'Yes.' If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the final result. If the game does not start within 48 hours, the market resolves to a fair price. All markets are independent, each corresponding to a different point total threshold, ranging from 2.5 to 41.5 points.
Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by analysts who may have biases or limitations in their models. This market, however, allows a large number of individuals to express their beliefs about the likely outcome, leading to a potentially more accurate forecast. It's common to see differences emerge, especially as new information becomes available or public sentiment shifts, but the comparison can provide valuable insight for informed decision-making.
This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the second half of the Tulane vs Duke game will be used to determine whether the total points scored exceeded or fell short of the threshold established in the market. The resolution will be based on official game statistics, ensuring a transparent and verifiable result. Traders will then be paid out or have their contracts settled based on the final outcome.
Several factors could influence the price movement of this market. Any news regarding injuries to key players on either the Tulane or Duke teams could significantly impact expectations. Changes in weather conditions, particularly if they are expected to affect scoring, could also play a role. Furthermore, in-game performance during the first half, such as a dominant offensive showing by one team, might lead traders to adjust their predictions. Public sentiment and betting trends observed elsewhere could also contribute to shifts in this market’s pricing.