Which team will score first: Côte d'Ivoire or Norway?

Prediction markets like Polymarket and Kalshi derive odds directly from trader supply and demand, whereas traditional sportsbooks set lines based on internal models and risk management. Prediction market prices often reflect real-time sentiment shifts and can move faster than sportsbook lines, especially as new information emerges. However, sportsbooks typically offer tighter spreads and higher liquidity. For this event, comparing this market's implied probability to major sportsbook offerings can reveal whether traders are pricing in factors the books may have overlooked.

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. Each platform operates under distinct market-making rules, fee structures, and user bases, which can create temporary pricing gaps. Polymarket and Kalshi may also attract different trader demographics—some favoring one venue's interface or regulatory framework. Order flow timing and liquidity depth vary between exchanges, so a large trade on one platform may not instantly arbitrage the other. These differences typically narrow as sophisticated traders exploit spreads, but they can persist if transaction costs or platform friction outweigh the profit opportunity.

Team news—injuries to key strikers, lineup changes, or tactical shifts—can significantly shift odds in either direction. Pre-match analysis from credible sports commentators and recent form data often trigger repricing. Weather conditions at kickoff, referee assignments, and historical head-to-head patterns may also influence trader positioning. As the match approaches, any official roster updates or last-minute roster announcements could spark volatility. During the game itself, early possession and shot attempts will likely drive sharp intraday moves on this market.