TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:19h:20m
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This group covers markets related to the Duke vs. NC State college football game scheduled for November 7th. Markets include predicting the winner, point spreads, over/under totals for points scored, team totals, and various in-game events like touchdowns and field goals.
In the upcoming college football game between Duke and NC State, scheduled for November 7 at 12:30PM ET: This market will resolve to "Duke" if Duke win the game. This market will resolve to "NC State" if NC State win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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 if the specified team wins the Duke vs NC State college football game originally scheduled for November 7, 2026. If the game is postponed but commences within 48 hours of the original start time, the market remains open and resolves based on the final official result. If the game is cancelled or does not start within 48 hours of the scheduled time, the market resolves to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks belong to their respective owners.
In the upcoming college football game between Duke and NC State, scheduled for November 7 at 12:30PM ET: This market will resolve to "Duke" if Duke win the game. This market will resolve to "NC State" if NC State win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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 often reflect a different kind of wisdom than those found at sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market is driven by individuals incentivized to predict correctly. This can lead to discrepancies, especially when public sentiment strongly influences sportsbook lines. Generally, prediction markets are considered to be more accurate forecasters of event outcomes, though sportsbooks can offer more competitive pricing on individual bets. The current volume on this market suggests strong interest from informed traders.
Prices on Polymarket and Kalshi can diverge due to several factors. Each platform has its own user base, trading fees, and liquidity, which can influence price discovery. 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. Additionally, differing interpretations of available information or varying risk appetites among traders on each platform can lead to price discrepancies. The volume traded on each platform also plays a role; a larger volume generally indicates a more robust and accurate price signal. Currently, the differing probabilities reflect these factors.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Duke-NC State basketball game will be used to determine the winning outcome. The final score and official results will be sourced from established sports news outlets and official game statistics. This ensures a transparent and verifiable resolution process for all participants in this market.
Several factors could influence the price of this market before resolution. Any news regarding injuries to key players on either Duke or NC State would likely cause significant movement. Changes in team performance, coaching decisions, or even weather conditions could also impact predictions. Public sentiment, as reflected in media coverage and social media, can also play a role, particularly if it deviates from the initial expectations. Monitoring these signals will be crucial for traders looking to capitalize on shifts in the market.