xG Data Sources for FPL

Below are advantages and disadvantages of xG data sources one can use for FPL. Why xG and expected assists (xA) are better stats than goals and assists has been widely discussed. For example, Michael Caley (@MC_of_A) has done a lot of work on the benefits of xG: https://cartilagefreecaptain.sbnation.com/2014/2/28/5452786/shot-matrix-tottenham-hotspur-stats-analysis-expected-goals This twitter thread is another explanation on… Continue reading xG Data Sources for FPL

Predicting Titanic Survivors

Kaggle is a website which hosts machine learning competitions. I recently completed the Titanic competition on Kaggle. The task was to predict who died and who survived on the Titanic, given data on approximately 900 passengers. I did this by using a random forest model to classify the passengers. I managed to correctly classify 74%… Continue reading Predicting Titanic Survivors

Making Data Visualizations

I entered the data visualization competition run by Chance Analytics. We were given a full season’s data from the Chinese Super League and told to visualize it as best as possible. I wanted to write about my visualization and creating data visualizations in general. For my entry, I plotted the locations of low crosses which… Continue reading Making Data Visualizations