Venice's 2026 mayoral election will determine the city's political direction for the next five years, with three prominent candidates emerging as serious contenders for the position. This event aggregator brings together prediction markets on Michele Boldrin, Giovanni Andrea Martini, and Andrea Martella—each representing distinct political and policy perspectives that could shape how the centuries-old city navigates contemporary challenges including tourism, climate resilience, and civic infrastructure. By grouping these three candidate markets together, readers can compare relative probabilities across the field and assess race dynamics in real time. The prices reflected in these markets represent distributed estimates from thousands of participants weighing available information—polling data, candidate visibility, endorsement patterns, historical voting behavior, and evolving public sentiment. Unlike traditional opinion polling, which captures a snapshot at a single moment, prediction market prices aggregate continuous information flows and individual conviction levels, offering an alternative lens for understanding race momentum and intensity of support. When examining the odds below, look for convergence or divergence between candidates. If market prices for all three remain relatively stable while new information emerges, it may suggest participants remain uncertain about underlying facts or that information is pricing in gradually. Conversely, sharp price movements on one or more candidates often signal that new information has reached market participants with force. Consider the implicit probabilities across all three markets—they won't necessarily sum to exactly 100%, a reflection of both the possibility of other outcomes and the cost structure of prediction market liquidity. These markets update continuously as developments occur through public statements, media coverage, and political events. Participants trade based on their own analysis and judgment, creating price discovery that illuminates how different constituencies and information sources view the competitive landscape. Whether analyzing Italian politics, studying prediction market behavior, or tracking Venice's local elections, these markets provide a transparent and quantifiable view of the race.