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 what insights it can show. The first question I […]
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 […]
F1 2020 -Season So Far and Why Racing Point’s Method of Designing the Car is Controversial
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 the strategy they have used to […]
Pole Position Prediction- A tidymodels Example
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 Sunday before qualifying on Saturday. […]
Twenty20 Win Probability Added
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. The idea is the model […]
Cricket Moneyball, pt 2
Hello readers, today we have part 2 of this cricket moneyball series. If you missed the first one its here: https://wordpress.com/view/theparttimeanalyst.com In it I looked at calculating the Pythagorean win percentage for each team in the IPL and then moving that forward to calculating the how many extra runs are needed to win one extra […]
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 […]
Cricket Moneyball?
Moneyball. That horrific word coined by the book written by Michael Lewis and later hammered further into the public consciousness with the film starring Brad Pitt. Now anything in sport using stats is termed Moneyball when the truth couldn’t be further from that. In this blog I am going to look at some concepts of […]
F1 Drivers Rated
Hello, welcome to today’s blog and in it I’m going to be developing methods to evaluate F1 drivers. Currently there is no real way to tell if an F1 driver is any good. It seems sort of arbitrary how a racing driver is decided if they are good or not. Being a data fan I […]
Predicting F1 Qualifying
Hello, welcome to this blog a few days ago I tweeted the below graph in a tweet It was the output from the model I have created which predicts the qualifying time for each driver. I will get into the review of the outputs of the model in the next blog but today im going […]
