Talk:Big Data in Sports

1. The length of the article is 1078. I liked how the article clearly defined what Big Data is and then made an attempt to show what the ethical issues are withing Big Data in Sports. However, I would recommend that when you are talking about Big Data specifically on the field metrics or off the field metric you should give examples for the reader to better understand what you are referencing. Personally I was able to understand what you were describing when you mentioned on the on the field metrics but I feel most non sports fans would not understand. For example when talking about player performance data you can talk about Offensive and Defensive War in baseball or maybe True Shooting percentage in Basketball. Similarly, I would give an example of specific off the field metric to help the reader understand what these are. Another recommendation I have while reading your article was giving a historical background in Big Data in Sports.

2. I do believe you have all 3 major components of a good article. There is an opening paragraph that summarizes the issue in the overview though I'd recommend talking about the history of Big Data in sports as mentioned above. The body of the article is within in the types of data in Sports analytics and Ethics sections though I would recommend giving examples as stated earlier. There are clear references and reliable sources backing up the info.

3. The issues and the ethics behind the issues seems very clear to me. Though I do once again recommend that you give example for all the analytics you explain throughout the article. There were a few grammatical issue that I fixed when I saw them.

4. From what I read I did not see any bias in the article. It seemed the article was written from a neutral point of view with plenty of references to back up the information with evidence for all viewpoints.