This project explores the surprising overlaps—and critical differences—between digital economies and global financial markets by comparing Counter-Strike 2 (CS2) item prices and player behavior with real-world economic data. Using live data pulled from Steam Stats, Pricempire, and FRED, we analyze how global events like inflation spikes, market crashes, and game updates ripple across the economy. For example, did CS2 item prices drop after the 2022 crypto crash? Or spike during periods of peak Steam player activity? This site not only visualizes these trends with live, interactive data, but also offers tools to zoom in on specific dates, explore narrative scenarios, and understand how digital marketplaces may serve as reflections of real-world economies. We focused on the Counter-Strike market because it has had the most consistent users and highest transaction volume of any game to date. Since 2015, the Counter-Strike economy can be compared to that of an independent country or simulation, making it the perfect data set to contrast against global markets.
Global markets plummeted due to COVID-19 pandemic lockdowns
Sharp dip in item value
Massive drop (30%+)
First major wave of global infections
COVID-19 case numbers surged again in many regions
Stabilization and slow growth as gaming surged during lockdowns
Sustained recovery despite case numbers
Second major wave of global infections
Cryptocurrency markets collapsed, affecting digital asset confidence
Minor decline in high-tier skins
Volatile correction period
Endemic levels of infection with less economic impact
Valve announced Counter-Strike 2 as successor to CS:GO
Price spike across inventory
Flat movement
Minimal impact with manageable case levels
Tip: For the best view of market reactions to specific events, select an event, zoom to 30-40%, and adjust detail to 50-70%.
For more on how we interpret this data and our research methodology, please visit our Findings page.
Our approach combines quantitative data analysis with qualitative assessment of market events. We've collected historical price data for both CS2 items and the S&P 500 index, normalized these datasets for comparison, and identified key events that might have influenced both markets.
Through interactive visualizations, we enable users to explore these relationships themselves, drawing their own conclusions about how virtual and real economies interact. We've also conducted user research to refine our presentation and ensure our findings are accessible to both economists and gamers alike.