I think it’s up to how you measure top ten, but I am pretty sure you would be wrong on most counts. MLS is doing pretty well for itself now, although looking at Washington this must have historical MLS trophies when the league was… less good

It's honestly very cool to see and play on!

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Question: what programs are people using for budgeting? The ones with the graphs that I’ve been seeing more of lately

And Sabres...oh wait

Must be fun for the first baseman at Hundred HS to have a shot at robbing some home runs

It’s NFL titles. GB has 13.

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Green Bay has 12 championships ..is this super-bowl wins or conference titles as well ?

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West sider here. Being a cleveland fan is masochistic.

The selections are inconsistent and have no rhyme or reason to them other than showing that you can interact with them. If you insist on using a gif, start blank and then reveal in a comprehensive order (ie: Lowest to highest), then give a longer period after all are revealed so that people can take in the full chart. Though, for such a small change, I’d honestly suggest just using a flat image.

No it’s not. There’s clear boundaries. This is just random

They had to fit into space limited by existing structures.

lol

Each row in the data is a match, so ‘team1’ represents a win for the “home” team, ‘team2’ represents a win for the “away” team and ‘draw’ represents a draw.

If only one could rely on Glassdoor salaries as an accurate representation of pay for any position. Multiple articles are out there showing GD salaries are unreliable.

Hi :)

I tried to extract 2 meaningful PC’s from 59 analytics of the matches (variables like ball possession, goal attempts… etc). Then I wanted to see if the matches are clustered on these predictors according to their outcome.

They aren’t 😕 but I liked the plot

One of the most exciting World Cup matches so far. Team1 vs Team2

What is this trying to show?

Is there a soccer competition in the US&Canada that is at higher quality level?

A couple points to (partially) explain this. Metro area population, not “city limits” population, is what you should be looking at. San Antonio isn’t 5x the size of Pittsburgh, it’s ~10% larger, and Columbus isn’t bigger than Cincy and Cleveland, all three are within ~10% of each other. Second, the teams don’t necessarily reflect the biggest cities today, but years ago. Go back to 1970 and Pittsburgh was 2.5x San Antonio, Cleveland was 2.5x Columbus, and Cincy was >50% larger than Columbus.

And then there’s Green Bay.

That’s still very low for both groceries and eating out per month. But if that works for you then great!

Guy literally meant Northern most American continent! No Texas city is criminal when your including Detroit..and nothing from Florida either?

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I have used IRON486's dataset that he scraped from fifa.com and posted on Kaggle.

I have used R and posted the script as an R notebook on here.