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Project #1, predicting Premier League games

  12/18/18 21:06, by Isaac

For my project, I took statistics from all 20 teams in the Premier League and used google sheets to manipulate the data so I could predict the games on December 22nd. I copied and pasted the team stats from a website onto the sheet, then found the averages and found out how the different categories were correlated to games won. I took the categories that were highly, positively correlated to games won and used those to say who will win the different matches on the 22nd.
I could find more information using google sheets and probably make my predictions even more accurate, but I need to wrap up this project and get going on other ones.
I spent a few hours on this project, learned a lot of new things about google sheets, and I am counting it as one project credit. I am looking forward to seeing how my predictions turn out!

Here is a link to the spreadsheet, let me know if there is a problem with it.

https://docs.google.com/spreadsheets/d/1OxNqbkdwOyjEoSH16s6qBdX6qcYNGDo93vixItEfasM/edit?usp=sharing

John, is there anything important information missing from the spreadsheet/conclusion?

15 comments

Comment from: [Member]

Very cool:)

9/10

12/18/18 @ 21:09
Comment from: [Member]

Looks cool!
9/10

12/19/18 @ 09:02
Comment from: [Member]

(I just looked up synonyms to ‘interesting’ and one of them was ‘bloggable’)

Bloggable! 9/10!

12/19/18 @ 14:14
Comment from: [Member]

Great project Isaac, can’t wait to see the outcome on the 22nd.

10/10

12/19/18 @ 17:24
Comment from: [Member]

Cool! 9/10

12/19/18 @ 20:04
Comment from: [Member]

It looks like you spent a lot of time on this project. I give it 10/10!

12/19/18 @ 20:22
Comment from: [Member]

Can you give us an quantitative rating – based on sheer numbers – instead of a qualitative rating based in you looking at the numbers –for example, can you have the machine give a confidence prediction – which of these matches is (by the numbers) the most likely vs least likely —

12/19/18 @ 21:08
Comment from: [Member]

10/10

12/19/18 @ 21:32
Comment from: [Member]

Looks awesome! 9/10

12/19/18 @ 22:01
Comment from: [Member]

I really like this! I give it 9/10

12/20/18 @ 10:28
Comment from: [Member]

Let me know how the results turn out!

8/10

12/21/18 @ 18:20
Comment from: [Member]

Very well done 10/10

12/22/18 @ 11:01
Comment from: [Member]

9/10

01/11/19 @ 10:41
Comment from: [Member]
Cayleigh

well done 9/10

01/17/19 @ 09:22
Comment from: [Member]

Nice.
8/10

01/17/19 @ 21:49


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