I've been messing with the magic value weights, and it doesn't take too much to push them in any given direction. The TEAMS_2026 should really be taken with a pinch of salt.
> Applied prospectively to the in-progress 2026 World Cup from the Round of 32, the model identifies Argentina (28.0%) and Spain (21.1%) as the leading championship candidates.
Seems weird to wait to run the "prospective" simulation until the World Cup is already in progress. Although it seems that the model also needs to use "the actual bracket and group-stage performance". So it's not prospective?
The baseline matters here: favorites win World Cups all the time. How often would "always pick the two pre-tournament favorites" have gotten the champion in these same 10 tournaments? Without that comparison, 10/10 tells us basically nothing.
Which is very reasonable. You estimate odds after seeing teams playing with the actual squad selection at that period in time. Otherwise I'd dismiss the predictions as lucky guesses in a row.
Yes. I don't like phrasing this as being prospective for the World Cup as a whole. It's for the knockout stage. (Which the abstract says! But the title doesn't.)
That almost makes it worse—like they're vaguely aware that training too heavily on too small a data set makes badly trained models, but are unaware that it has a name and is an actual identified problem.
Does the model account for the blatant favouritism in the refs? We used to laugh about it before but as the cameras have gotten better it has become a lot more visible. And in this case, is turning the tournament into a bit of a joke.
It's quite unlikely soccer is one of the few sports without a doping problem and with only very few cases where the referee was paid off.
Since ancient times in Rome where they said "bread and games" are needed to keep the commoners happy, many generations of rulers had time to optimize large-scale sports events.
My personal theory is that these kind of extremely unfair decisions in soccer are a net benefit to stability of society, and there's no incentive for the leadership to aim for full fairness in sports.
Hear me out: When a team loses in unfair manner due to bad decisions of the referee, large masses of people feel the psychological pain of being robbed of a win. This feeling of "unfairness" makes the masses more resilient to experiencing "unfairness" in their day-to-day life, for example when a billionaire is not prosecuted in the same way than a common person.
If we turn the logic around and assume that soccer would always be perfectly fair, then the masses would demand the same kind of fairness also in their day-to-day lives. Obviously this demand for fairness is not aligned with an establishment class that wants to extract the maximum value possible from their citizens, and push as far as they can without risking stability of the country.
From an establishment perspective, it makes a lot of sense to condition the masses for "unfairness", and sports is the perfect way to do it. I'm not saying that the individual referees are paid off to let a certain country win, just that the establishment who runs each country (and thereby also run international sports organizations like FIFA) have no incentive to actually create total fairness.
This might also explain issues like the IOC re-instating russia for olympic games, even though they have not retreated from Ukrainian territory yet. It triggers people who strongly feel about morals and ethics, and it brings the point home that the world is unfair and it makes no sense to push for fairness in the greater context.
The benefit is psychological conditioning for people to accept unfairness.
Good models need a lot of data. Can you really be accurate with what, 30 data points, in which the team composition is basically reset each time?
Seems weird to wait to run the "prospective" simulation until the World Cup is already in progress. Although it seems that the model also needs to use "the actual bracket and group-stage performance". So it's not prospective?
> limitations, principally the small number of tournaments available for validation and the risk of in-sample weight selection
But I agree this model is no more valuable than Paul the Octopus.
-- Egypt was robbed.
Since ancient times in Rome where they said "bread and games" are needed to keep the commoners happy, many generations of rulers had time to optimize large-scale sports events.
My personal theory is that these kind of extremely unfair decisions in soccer are a net benefit to stability of society, and there's no incentive for the leadership to aim for full fairness in sports.
Hear me out: When a team loses in unfair manner due to bad decisions of the referee, large masses of people feel the psychological pain of being robbed of a win. This feeling of "unfairness" makes the masses more resilient to experiencing "unfairness" in their day-to-day life, for example when a billionaire is not prosecuted in the same way than a common person.
If we turn the logic around and assume that soccer would always be perfectly fair, then the masses would demand the same kind of fairness also in their day-to-day lives. Obviously this demand for fairness is not aligned with an establishment class that wants to extract the maximum value possible from their citizens, and push as far as they can without risking stability of the country.
From an establishment perspective, it makes a lot of sense to condition the masses for "unfairness", and sports is the perfect way to do it. I'm not saying that the individual referees are paid off to let a certain country win, just that the establishment who runs each country (and thereby also run international sports organizations like FIFA) have no incentive to actually create total fairness.
This might also explain issues like the IOC re-instating russia for olympic games, even though they have not retreated from Ukrainian territory yet. It triggers people who strongly feel about morals and ethics, and it brings the point home that the world is unfair and it makes no sense to push for fairness in the greater context.
The benefit is psychological conditioning for people to accept unfairness.