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 ...

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 ...

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 ...

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’...

Hello, hope you have your Yorkshire tea to hand and sitting comfortably ready to read today’s blog. In it I am going to be doing some machine learning with tidymodels to predict the outcome of some twenty20 cricket matches. I am using the data from cricsheet as used in ...

Hello, this is a new series which I will be analysing the data from Friday practice at the Grand Prix. The focus is going to be on strategy so key to a Formula 1 race. This is the first version of this analysis, lookout for more information on future races Tyre ...

Hello, welcome to the second part of this look at F1 Drivers performance in 2021 and this time we look at the top 10 so get your cup of Yorkshire tea at the ready! =9 Daniel Ricciardo 50% =9 Lando Norris 50% Lando Norris is a strange one. The first half of the season was […]

Hello and happy new year. Hope you have a nice cup of Yorkshire tea ready to read this we are going to review each driver’s performance in the 2021 season. I’m going to do this using my expected position metric detailed here theparttimeanalyst.com/2021/05/11/f1-drivers-rated-version-2/ The drivers are ...

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 ...

Hello, welcome to todays blog which I am going to go through my attmept at sliced. If you never hear of sliced its competitive data science which you have 2 hours to create a machine learning model. Catch the show here on tuesdays late a night for us Europeans https://www....

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 ...

Hello, so a year and a half a go I created a new metric for measuring F1 drivers performance based around there performance in the race and the expected the performance in the race see blog here F1 Drivers Rated Since then my laptop BSOD’ed and me being useless ...

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 ...

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 ...

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. ...

Hello readers and welcome to the batsman review of my win probability added metric review. In the first part, linked here: https://theparttimeanalyst.com/2020/06/20/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 ...

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 ...

Hello Readers, Today i’m going to do a little data explore of the data from the F1 2020 season so far. Exploring a number of questions about the season so far. First of all looking at qualifying and why a lot of teams are annoyed by (t)Racing Point and ...

Hello readers, today’s blog I will be looking at predicting the formula 1 grid using the Tidymodels collection of R packages. The idea is to use data from the practice sessions on a Friday, to give an idea of what the grid is expected to be for the race on ...

Hello readers, welcome to today’s blog. I am going to implement a win probability added model for twenty 20 cricket. Now this is nothing new a quick google and there are many sources for it. Cricviz is possibly the most famous version which you may have seen on the app. ...