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You can see how the data is broken up by gender. I added a little green curve, so, you know, I didn’t put that off.
Please keep in mind that this is an aggregate. When someone is doing their own analysis or a chart shows that one gender has much higher representation on the team than the other, that information has to be taken into account by the charts and graphs.
There are 3 main sources of data: games played, goals scored and assists. The data is organized into several types which are presented with the most important ones first (though a summary is usually added as well). Some of the other data items such as assists are not necessarily broken out, so there is a bit of a gap in those categories. It’s worth noting, though, that each sport has it’s own set of categories so that means you can use the team category for the Boston Celtics while it would have only shown up on a Philadelphia 76ers list.
Now we get down to stats that are most relevant to the discussion: the percentage. There’s a lot going on here, and it’s difficult to really understand the difference without seeing individual data. Still, the basic idea is that there are some statistics that are directly related to the performance of a player and others that are more related to team performance. If a stats is more related than the other, then that may mean that you are getting more value from that stat (i.e. the Celtics have a more powerful player and he has had more success with one particular team). Now, the categories are based on a lot of different measures that are calculated using a variety of different statistical techniques. While it helps to have a summary before looking at
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