Hello, this is part 3 of building a model to project the points a player might score in a given game week. If you have not read part 1 or 2 links below Part 1 – https://theparttimeanalyst.com/2021/03/09/building-a-model-in-r-to-predict-fpl-points/ Part 2 – https://theparttimeanalyst.com/2021/04/22/fpl-point-projection-in-r-part-2/ Now that the estimate of the score is created its time to work out […]
FPL Point Projection in R – Part 2
Hello, welcome to part 2 of the series building a model to predict fantasy premier league points. If you missed the first part which i did some initial EDA go check it out here Building a Model in R to Predict FPL Points As I identified before the first part of this they key parts of […]
Building a Model in R to Predict FPL Points
Fantasy premier league. That yearly ritual of thinking your team you spend hours agonising over whether to select this player or that player. I find you need to watch a lot of football to keep up with it so the challenge is how can I use data to shortcut this. This is probably the biggest […]
The Most Unpredictable League?
Hello, I watch a lot of football in the championship and often the commentators on sky sports will say “this is the most unpredictable league in the world”. The thought occurred to me that this is actually quite easy to test. All you need is a model which predicts a range of league. The model […]
Replacing Nikita — 3
Hello, Welcome to the third and final part of my replacing Nikita Parris series. If you haven’t caught the first 2 blogs go check out before this one as they take you through the various parts of the process. We identified our 3 best candidates to replace Nikita Parris: Francesca Kirby, Millie Farrow and Vivianne […]
Replacing Nikita – 2
Today I’m going to doing the second part, if you didn’t read the first part go check it out: Replacing Nikita 1 I’m summary, Nikita Parris is leaving her team last season Man City, and I need to find players suitable to replace her. I did a bit of an exploratory analysis of Nikita Parris […]
Replacing Nikita 1
Today I have a challenge go through. Done by FC Rstats however the submission was a few weeks ago and I did it in a rush and I don’t think it was my best work. Therefore this is a re hash of my submission so could end up with different results. The challenge is simple […]
Tidy Tuesday – Films Dataset
Hello, today we are going to be looking at this weeks tidy Tuesday dataset. This is just quick EDA as i got a bit carried away with just the dataset. I initially set out to do just one interesting graph but kept finding more and more interesting insights. So below you can see the structure […]
World Cup Group F
Hello, welcome to the preview of Group F in the world cup. Thanks for all the support so far on these previews. I would love to hear peoples thoughts and predictions on the competition. Today we will be looking at group F which contains Germany, Mexico, South Korea and Sweden. The first thing to look […]
World Cup Group E
Todays World Cup preview we are going to be looking at group E. This group contains Brazil, Serbia, Switzerland and Costa Rica. As mentioned previously this is all part of my series previewing the world cup so please go check the others out and let me know your thoughts. So lets first look at the […]
Sport Data Science 