The answer is no, there is no direction correlation between a successful soccer player in a certain position and their birth month... There are some months that stand out year over year but then you compare them to the GOATs and in most cases GOATs behave as outliers. It was a fun aspect to research though. There are many more scenarios to dig through - venue altitude (https://api.zafronix.com/wc-explorer/stadiums/), player age groups (https://api.zafronix.com/wc-explorer/players/)... data is there... I'm curious to see if there is a scenario that is currently not covered that would be fun to add to enhance the dataset further.
I was typing on my phone and might have accidentally pasted the "the LLMs" piece, but to answer your question - yes, LLMs were used to enhance my existing data set. As for the quiz app - the API offers the /trivia endpoint already and one of my early adopters - siono.app - uses it for fun polls, etc. Technically, yes, you can build the whole trivia bank just on World Cup using the data.
Rotten.com felt like one of the first moments where the internet stopped pretending to be curated civilization and instead exposed itself as raw human curiosity.
People often remember the gore, but what I remember more was the texture of the early web: sparse HTML, no engagement optimization, no algorithmic feed, no “creator economy.” You had to intentionally go looking for things. That changed the psychology completely.
Today’s internet is arguably more manipulative, even if it’s less graphic.