The excitement of Formula 1 racing lies in the intense competition between drivers and teams as they navigate the twists and turns of each race to claim the coveted championship title. In recent years, data-driven predictions have become increasingly popular in sports, and F1 is no exception. Inspired by FiveThirtyEight’s comprehensive soccer predictions, we set […]
Kaggle Playground Series – Tidymodels
Hello readers, we are entering another Kaggle playground competition, so get your Yorkshire tea ready and enjoy the process of joining. This month the competition I entered is this one https://www.kaggle.com/competitions/playground-series-s3e7It’seiew It’s looks like looks are canncellations from hotels and spoiler alert – I had a lot of fun with this dataset. EDA First, I […]
Cricket Weighted Batting Average in R
Hello, I hope you have your Yorkshire tea ready as today I am going to be exploring weighted averages using R. I used the code above to generate the table of the top 15 players by batting average in the 2022 county championship. Now the whole point of this blog is to devise a weighted […]
Kaggle January Playground Series – Tidymodels
Hello, hope you have your Yorkshire tea ready this is going to be a new series on the blog in which each month I am going to be tackling Kaggles monthly playground series. Find the link to Januarys below feel free https://www.kaggle.com/competitions/playground-series-s3e1 So let’s get started EDA Above is the structure of the training dataset. […]
F1 Strategy Analysis
I was recently browsing reddit and found this AMA from a former mercedes strategy engineer The most surprising thing was that most of the race strategy was calculated using VBA in excel. This isn’t some start up outfit this is the mighty Mercedes winners of the last 7 constructors and drivers championships. In this blog […]
FPL – Point Project Part 3
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 […]
WPA – Bowler Review
Hello readers, and today is the next in m series of reviewing the WPA metric and what it can show. If this is the first one you are reading then go catch the other two linked here Win Probability Added – Batsman Review Twenty20 Win Probability Added The first blog covers the building of the model the […]
Win Probability Added – Batsman Review
Hello readers and welcome to the batsman review of my win probability added metric review. In the first part, linked here: Twenty20 Win Probability Added I created the metric using a logistic regression machine learning model. Now its time to apply the model to real data and look at what insights it can show. The first […]
F1 2020 Season Review
Hello readers, its Monday the 4th January and this is the first of my hopefully weekly blogs in 2021. We will see how long that lasts! Today I’m going to be looking at the data underpinning the 2020 F1 season. The story of the season is clear Lewis Hamilton dominated to win his 7th world […]
Sport Data Science 