Who will win Milic vs Plans?

Prediction markets like these operate on crowd-sourced pricing: traders buy and sell shares based on their belief in each outcome, and the market price reflects the collective forecast. Unlike traditional sportsbooks, which set odds to balance liability and extract margin, prediction markets aggregate dispersed information from many participants. This often produces sharper, less biased estimates—especially for niche events like lower-tier tennis matches where sportsbook coverage is sparse. However, prediction market liquidity can be lower, potentially widening bid-ask spreads compared to major betting venues.

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 different market-making rules, fee structures, and user bases. Polymarket and Kalshi may have varying levels of liquidity, leading to different marginal prices at any given moment. Additionally, traders on one platform may have access to different information or hold different risk tolerances, causing temporary price divergence. These gaps typically narrow as informed traders arbitrage between venues, but they can persist if transaction costs or withdrawal friction make cross-platform trading uneconomical.