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%
Duke wins by over 4.5 points
- Kalshi
Duke wins by over 4.5 points - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 7, 2026
Time left: 04d:23h:19m
$
This set of markets tracks the point differential in an upcoming college football game, allowing participants to speculate on how decisively either team might win. Each market corresponds to a specific point margin threshold, enabling detailed analysis of potential outcomes.
All markets resolve based on the official final point differential from the Duke vs NC State college football game scheduled for November 7, 2026. If the game is postponed but commences within 48 hours of its original start time, all markets remain open and resolve according to the final result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, determined under unspecified conditions to ensure equitable treatment for all participants. The markets cover a range of point differentials for both teams, from narrow margins to larger victories, allowing participants to assess varying degrees of competitive imbalance.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the opinions of many individual traders. Often, prediction markets are more accurate than traditional forecasts, especially when considering the incentive structure for traders to be correct. However, sportsbook odds are readily available and provide a useful benchmark for comparison, though discrepancies can occur due to differing information and motivations.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes for the Duke vs NC State spread. The price of each contract reflects the market's assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set accurate prices, as they profit from correctly predicting the event's outcome. As more traders participate and new information becomes available, the prices adjust to reflect the evolving consensus. This dynamic pricing mechanism aims to provide a real-time assessment of the likely spread in this game.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the Duke vs NC State basketball game will be used to determine the winning contracts. Specifically, the market will settle based on the official result reported by a recognized sports data provider. Traders holding contracts corresponding to the correct spread will receive a payout, while those holding losing contracts will forfeit their investment. The resolution process ensures a transparent and objective determination of the market's outcome.
Several factors could influence the Duke vs NC State spread market before resolution. Any news regarding key player injuries on either team would likely cause significant movement. Changes in coaching strategies or unexpected team performance in preceding games could also shift market sentiment. Public opinion, as reflected in polls and expert analysis, can also play a role, although the market is driven primarily by trader activity. Finally, late-breaking news related to weather conditions or other external factors that might affect the game could also impact the price of contracts in this market.