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%
NC St.
- Kalshi
NC St. - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 2, 2026
Time left: 05h:46m:28s
$
This event group concerns the outcome of a college basketball game between the Campbell Fighting Camels and the North Carolina State Wolfpack, scheduled for November 2nd. The markets aim to determine which team wins the game, with provisions for postponed or canceled games.
This event is for the CBB game between Campbell Fighting Camels and North Carolina State Wolfpack on November 2 at 7:30PM ET. 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 based on the winner of the Campbell vs NC State men’s college basketball game scheduled for November 2, 2026. If the game is postponed but begins within 48 hours of the originally scheduled start time, the market remains open and resolves according to the official final result. If the game is cancelled or does not start within 48 hours of the scheduled time, both markets resolve to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks, logos, and brand names are the property of their respective owners.
This event is for the CBB game between Campbell Fighting Camels and North Carolina State Wolfpack on November 2 at 7:30PM ET. 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, like those found in this market, often reflect a wisdom-of-the-crowd effect, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow traders to freely express their beliefs. This can lead to discrepancies, especially when new information emerges or public sentiment shifts. The implied probabilities in this market may differ from those offered by sportsbooks, providing an alternative way to assess the likelihood of various outcomes for the Campbell vs. NC State game.
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. Price discrepancies between Polymarket and Kalshi are common due to variations in user base, trading incentives, and market design. Polymarket currently favors Campbell Fighting Camels vs. North Carolina State Wolfpack at 3.4%, while Kalshi leans toward NC St. wins at a different probability. These differences can also stem from varying levels of liquidity and differing interpretations of pre-game information. Furthermore, the trading fees and maximum bet sizes on each platform can influence price discovery, contributing to the observed divergence in predictions for the Campbell vs. NC State game.
This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official result of the Campbell vs. NC State game, as reported by a trusted source for college basketball scores. The final outcome of this market will reflect the actual game result, providing a clear and objective resolution based on publicly available information. Traders should monitor official sources for updates as the resolution date approaches.
Several signals could influence trading activity in this market before Nov 3, 2026. Key player injuries or suspensions for either Campbell or NC State would likely cause significant shifts in probabilities. Unexpected news regarding team performance, coaching changes, or even weather conditions could also impact the market. Major media coverage or influential analysts’ predictions could sway public opinion and drive trading volume. Any information that alters perceptions of the teams’ relative strengths will likely be reflected in the prices within this market.