Munich typically experiences mild spring temperatures in late April, with highs generally ranging from 15-20°C in the region. This question asks whether the maximum temperature will be precisely 12°C on April 28, 2026—a prediction that is significantly cooler than the seasonal average for this time of year. The 0% odds indicate traders believe this outcome is extremely unlikely, which reflects the practical challenge of weather prediction: meteorological measurements rarely land on an exact integer temperature to the degree. This market is settled against official meteorological data from Munich's designated weather observation station. The fact that 12°C represents a notably cold day for late April explains why traders have assigned near-zero probability to this outcome. Even when cold fronts move through Bavaria, temperatures typically fluctuate enough during the course of a day to fall within a range rather than land on a single precise value. The market's modest liquidity suggests limited trader interest in such a narrowly defined temperature outcome.
Deep dive — what moves this market
Munich, Bavaria's capital, sits in the Alpine foothills and experiences variable spring weather as Atlantic weather systems interact with the continental climate. Late April is typically the transition period between spring and early summer, when afternoon highs stabilize around 15-18°C on average. For the high temperature to be exactly 12°C on April 28 would require either a persistent cold trough anchored over southern Germany or an unusually strong cold front sweeping through Bavaria late in the month. Historically, Munich does occasionally experience cold snaps in late April—the city recorded 6°C on April 23, 2006, and even lower extremes in earlier decades—but these are outliers rather than typical patterns. The specificity of this prediction (not 11-13°C range, but exactly 12°C) creates inherent difficulty: weather observations include decimal places and rounding conventions, yet traders must predict a single integer value. The 0% odds suggest market participants are pricing in near-zero likelihood based on seasonal climatology and the fundamental challenge of decimal-precision weather forecasting. Current weather models for late April 2026 would favor normal to slightly warm conditions for Bavaria unless a significant upper-level trough develops in the days leading to April 28. For this outcome to occur, a cold front would need to stall over southern Germany, with cloud cover and precipitation further depressing maximum temperatures. This would represent a 2-3 standard deviation event for late-April Munich. Conversely, traders overwhelmingly favor NO because spring warming typically dominates by late April, and the likelihood of a day hitting exactly 12°C (rather than 13°C or 11°C) is extremely low from a statistical perspective. The market's lack of volume and liquidity indicates rational traders simply see no edge in predicting such a narrow outcome, especially given meteorological uncertainty at the 1-degree level. Historical April temperature records for Munich show significant variance, but concentration around the seasonal mean of 16°C is striking. Even sophisticated weather models cannot reliably distinguish between a 12°C and 13°C outcome three weeks in advance. The zero odds essentially reflect the mathematical improbability of a precise decimal-to-integer prediction in a stochastic system.
What traders watch for
European weather pattern development through late April—whether Atlantic systems deliver cold air to Bavaria or warmth persists
Official high temperature reading from Munich's designated weather station on April 28, rounded to nearest degree Celsius
Actual vs. forecast temperatures in the 11-14°C range; unexpected cold front timing or strength shifts through final week
Historical April temperature precedent for Munich; how rare such cold outcomes are in late-spring climatology
How does this market resolve?
This market resolves on April 28, 2026, based on the official high temperature recorded by Munich's designated meteorological station, rounded to the nearest whole degree Celsius. YES wins if the highest temperature is exactly 12°C; all other readings resolve as NO.
Prediction markets aggregate trader expectations into real-time probability estimates. On Polymarket Trade, every market question resolves YES or NO based on a specific event outcome; traders buy shares of the side they believe will resolve positively. Prices range 0¢ (certain no) to 100¢ (certain yes) and naturally reflect the crowd-implied probability of YES. This page summarizes the market state for readers arriving from search; for live trading (place orders, see order book depth, execute a trade) open the full interactive page linked above.
