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I went to College Basketball Analysis Powered by SAP Lumira & Predictive Analytics and looked to see if I could do any predictions with the data using Lumira.  It turns out because there is no time dimension in the data, I could not.  So I went to the Kaggle website that had the data by year.

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Kaggle stores the details in one table and the team name in another table, resulting in the merge shown above.

I can then filter and look to see how my team, the University of Kansas, will do.

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Last year in 2014 Kansas had a high number of field goals made but didn’t get very far in the tournament.  In 2008, Kansas had a low number of field goals yet we won the championship!

The regression projects a downward spiral.

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Then looking at three point field goals made, 2014 was high, 2008 was so-so and the linear regression shows in 2015 a projection of 35 3 point field goals, higher than 28 when Kansas won the championship.

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Then defense – similar trends with 2008 being low at 58, 2014 at 212 and a projection of 112 rebounds for 2015.

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Fouls – a number you want to go down, was high for Kansas in 2014, low in 2008 and is projected to be lower in 2015/2016

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Blocked shots – a number you want to go up, was high in 2014 but low in 2008 and projected to be lower in 2015/2016.

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I published to Lumira Cloud, but unfortunately the message above is shown. I’ll have to see if there is an idea for this on Idea Place.

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