MCFC Analytics – summary of blog posts # 1


Here are some of analysis pieces based on the #MCFCAnalytics data published in the past couple of weeks. I plan to do a weekly post linking to all the articles I come across on Twitter.

My objectives for the weekly post are:

  1. Capture all the work done using the MCFC data set
  2. Provide a forum of discussion – you are welcome to use the comments section of this blog to discuss these posts.
  3. Get to know more people working on the data set and learn from the knowledge and ideas of others.

@MarkTaylor0 goes in-depth into the short passing ability of the keeper . Data shows that keepers had the best average short pass completion rate in the 2011-12 EPL season. However, that stat is not telling the full story.

Mark also has another interesting post on how Stoke City commit more fouls than Arsenal but end the season with the same # of yellow cards

Looks like Mark is working on more posts. I will check back next week to see what is new on Mark’s blog.

@MarchiMax  has a couple of posts

Passing in EPL post looks of the delta between the average pass attempts of a team and the average pass attempts they allow their opponents. Some of the outliers like Fulham, Newcastle and Swansea are interesting.

The Passing efficiency is more interesting. It looks at the passing completion % of all the teams and attempts to identify factors that affect the passing completion %. Factors like opponent, stadium as well as the zone of the pitch in which the pass is completed.

@Philby1976 has interactive dashboard of the whole data set. This is a great tool to visualize different metrics and data points. The site’s response time might vary based on the speed of your internet and the browser you are using.

Data viz and tableau expert @acotgreave has couple of early examples of what can be done with the data set using Tableau Public. There are 3 different examples  A) # of players used by the teams  B) How did the players of two teams fare against each in the previous meetings and C) Comparing  two strikers . The post not only highlights the data set but also the different visualizations you can do using  Tableau Public.

@DanJHarrington has another great on visualization using Tableau  – How does a team pass the ball . The post visualizes how each player in a team passes the ball (# of forward, backward & sideways passes). There is another post from the same website on  who should have been England’s # 1 GK at the Euros using the MCFC data.

@JimmyCoverdale  has a post on how data gives enough evidence on Why Walcott should be moved to a central midfield role

Apart from these I have a couple of posts on this blogs so far. Correlation between goals scored and pass completions in the final third and an opposition analysis of QPR. 

If I missed any, please add them in the comments section, I will cover them in my next weekly post.

About these ads
Leave a comment

9 Comments

  1. Wow, great post. The interactive dashboard was a joy to watch and browse.

    Reply
  1. MCFC Analytics – summary of blog posts # 2 « Analyse Football
  2. MCFC Analytics–Summary of blog posts #3 « Analyse Football
  3. MCFC Analytics – Summary of blog posts #4 « Analyse Football
  4. MCFC Analytics – Summary of blog posts #5 « Analyse Football
  5. MCFC Analytics-Summary of blogposts #6 « Analyse Football
  6. MCFC Analytics – blogposts summary #7 « Analyse Football
  7. MCFC Analytics blogposts – Summary #8 « Analyse Football
  8. MCFC Analytics blogposts Summary #9 #mcfcanalytics « Analyse Football

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

Follow

Get every new post delivered to your Inbox.

Join 1,297 other followers

%d bloggers like this: