| Hi HN — my previous post got flagged for some reason so re-posting to spread the word as well as get some actionable feedback. When I was a kid and was playing soccer in my home town, my Dad had an idea - what if there was a correlation between a successful soccer player in a specific position and the birth month - i.e., can we determine based on a player's month of birth if he could statistically become a good goalkeeper, defender, midfielder, or an attacker? Obviously, back then the data was hard to come by and I did not think too much about it until recently. Now, I'm my Dad's age when he vocalized the idea to me, he is still alive, and I felt an obligation to to build something to help him his own stats. That's main the reason I started to build the dataset for the World Cup API, which eventually grew as more data points were introduced. over a few weekends because LLMs are genuinely. What you can find right now is - every World Cup since 1930, every group standing, every squad, every scorer, every match, every venue, etc. etc. etc. In addition to the API, I've also wrapped it in an MCP and published it out for folks to play around and provide feedback. I've also built a live sample dashboard if you want to preview without installing anything: https://api.zafronix.com/wc-explorer/ Otherwise, you can get started with a free API key takes 30 seconds, 1,000 req/day, no card. Repo + install: https://glama.ai/mcp/servers/zafronix/wc-mcp or find it on ChatGPT and Claude marketplace. Like I said, looking for constructive feedback. Thanks HN! |
So, what’s the answer? My guess would be a “no”.
Because of the way age categories are defined, there is a correlation between month of birth and becoming a professional soccer player (https://medium.com/@giacorada/the-fascinating-birth-trend-am...), but I don’t see why these trends would differ between, say, goalkeepers and attackers.