A lot of ink has been wasted discussing the OT rules in the NFL. The argument goes that a lot of power is given to a random coin flip. In particular, a few years back it used to be the case that the team that would receive the kick-off (which was decided based on a… Read More NFL OT: Where randomness prevails…or not?
How costly are turnovers in a basketball game? How does a 1% increase in the FG percentage affect the probability of winning a game? These are questions that a data-oriented, sports-loving person might have. While the qualitative answers to similar questions might be obvious for the dedicated fans of the game, the exact quantitative answer requires data analysis. Similar questions serve as… Read More Understanding regression through the NBA boxscores
One of the problems with being into data analytics is, well the lack of data! In many cases data come hard and are not even available. Here, I will provide some links to APIs and datasets that you can use for free for your analysis: nflgame API in Python: https://github.com/BurntSushi/nflgame NBAstats API in Python: https://github.com/bradleyfay/NBAStats mlbgame API in Python: https://github.com/zachpanz88/mlbgame nhl… Read More Sports data sources
I am a keen sports fan and I am also a data and statistics junkie. So I thought why not combine the two and try to understand some of the sports better through data! Bare with me as I am analyzing data from football, basketball, soccer etc. and I hope you will find the blog useful,… Read More Why this blog?