> can we determine based on a player's month of birth if he could statistically become a good goalkeeper, defender, midfielder, or an attacker?
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.
"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."
I don't understand. Did you use LLM for certain data?
It would make a good API for building a world cup quiz app.
> can we determine based on a player's month of birth if he could statistically become a good goalkeeper, defender, midfielder, or an attacker?
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.
"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."
I don't understand. Did you use LLM for certain data?
It would make a good API for building a world cup quiz app.
Nice job.