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[quote=Anonymous][quote=Anonymous][quote=Anonymous][quote=Anonymous]I don't understand how it works across different leagues when these teams rarely play each other. [/quote]

Not sure how mathematically inclined you are, but it essentially measures EVERY game. When you do that, you can build a bigger graph and assess strength of schedule. Do this with a giant dataset and they don't have to play each other often to get a good measurement of how strong they are. It's what many college/hs/even gaming ranking algorithms do. [/quote]

Although this is generally true, the more indirect the comparison is between two teams, the more variability there will be to the comparison and the app will tend to be less accurate to predict a game between the two teams. Estimates within the same league are very accurate, but comparisons between leagues, or even between teams of different years (let's say when a team plays up in a tournament) will be less accurate. [/quote]
This is correct. If two teams play each other a lot the expected outcome will be pretty good. If teams dont play each other a lot (and the teams they play dont play each other a lot) the expected outcome will be less accurate.[/quote]

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