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fabioricardo7

22 karma · joined June 6, 2026

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fabioricardo7··on Show HN: A Monte Carlo model that called the World Cup finalists 2 weeks ago
Thanks for your question. It's Monte Carlo, so individual simulated tournaments produce all sorts of champions, Argentina wins ~28% of the 100k iterations. What's stable is the aggregate: Argentina and Spain consistently come out as the two highest-probability teams, and that barely moves across different seeds.
fabioricardo7··on Show HN: For 10 World Cups, my model's 2 favorites had the champion every time
I appreciate everyone's feedback. This is a preprint, and I was looking exactly for this kind of constructive scrutiny to help improve the work. The data is limited, and I'm well aware of that. I just thought this would be a good first step, with encouraging results (and, after today's match, accurate ones too).
fabioricardo7··on Show HN: For 10 World Cups, my model's 2 favorites had the champion every time
Hahaha, as a Brazilian, this hurts. But as a man of science, I can't argue with the numbers. Congratulations, hermano.
fabioricardo7··on Show HN: For 10 World Cups, my model's 2 favorites had the champion every time
That was exactly the point I was trying to make in this preprint. I appreciate your comment.
fabioricardo7··on Show HN: For 10 World Cups, my model's 2 favorites had the champion every time
Maybe in an alternate reality. Jokes aside, discovering the right weights to match the current fixture, along with the limited data available, were the key challenges in forecasting at such an early stage.
fabioricardo7··on Show HN: One More Letter
This is great! I've been looking for an alternative to this for a while: https://g1.globo.com/jogos/dito/ This is definitely the kind of game I'd play on a flight.
fabioricardo7··on Show HN: A Monte Carlo model that called the World Cup finalists 2 weeks ago
Link to preprint: https://papers.ssrn.com/abstract=7013338 Constructive feedback very much appreciated!