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.
World Cups have to alternate with continental competitions (Copa America, Asian Cup, European Cup, Africa Cup of Nations) which are on similar cycles. They could technically be held every two years (and current FIFA leadership is pushing towards that), but federations and clubs are resistant (because every summer tournament places even more stress on an already-long club season, and it would likely devalue other competitions).
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 football 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 football 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 football 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.
One of the founders of Renaissance Technologies, which runs some of the most successful quant funds of all time, said ""We’re right 50.75% of the time... but we’re 100% right 50.75% of the time."
I've updated the magic weights, and I too can get the result I want:
It's coming home!Probably the human pseudonym of Paul the Octopus (https://en.wikipedia.org/wiki/Paul_the_Octopus).
It's worth noting that there has only been 24 world cups
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.
Isn't that essentially how AI works?
but does the model predict the right match up along way? if not it's just wrong wrong make a right
Also, being able to predict football with complete accuracy is impossible
> 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?
It predicts likely winners based on the round of 32 performance (plus prior data). That's still "prospective" with respect to the finals
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.
There is no MODEL for pure Argentine magic. vamos carajos! vamooooooooo con todo!!! Our time has come again.
Survivor bias
> the model identifies Argentina (28.0%) and Spain (21.1%) as the leading championship candidates
Why is the world cup so infrequent anyway? I assume to match olympics?
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?
Clubs want their star players focused on club championships, and the star players make their real money playing on their club teams.
World Cups have to alternate with continental competitions (Copa America, Asian Cup, European Cup, Africa Cup of Nations) which are on similar cycles. They could technically be held every two years (and current FIFA leadership is pushing towards that), but federations and clubs are resistant (because every summer tournament places even more stress on an already-long club season, and it would likely devalue other competitions).
How does this paper not even mention the word "overfitting"?
The abstract does say
> 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.
A good AI would calculate refereeing decisions and put Argentina at 100% unless England can pull off a miracle against FIFA today.
No good AI would cherry-pick data to this extent. Only people are capable of that
Make sure your email is on file with every horrible news outlet in the world so they can write over 9000 stories about you before the next World Cup.
Get a few nice glamorshots and make sure you have something else in the queue before then to plug during the interviews.
!remindme tomorrow
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.
-- Egypt was robbed.
The FIFA-planned game schedule is also surprising. Argentina have not had to face a single 'big' contender through the tournament, until now.
It's quite unlikely football 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 football 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 football 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.
edit: replaced "soccer" with "football"
how statistic significant is it.
and how many models did you model?
now back your claim with money and bet accordingly on betting sites to see if you uncovered some actual alpha here
"They've done studies, you know. 60% of the time, it works every time." - Brian Fantana, Anchorman
One of the founders of Renaissance Technologies, which runs some of the most successful quant funds of all time, said ""We’re right 50.75% of the time... but we’re 100% right 50.75% of the time."