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.twitch.tv/nickwan_datasci One of the recent rounds […]
F1 Drivers Rated – Version 2
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 I never committed the code to […]
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 […]
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 […]
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 Qualifying — 2
In the last blog I outlined creating a model which predicts the fastest time for each driver in F1 qualifying. theparttimeanalyst.com/2019/07/10/predicting-f1-qualifying/ Today I am going to be dissecting the model to understands its strengths and weaknesses and to look if their is any bias within the model. First lets look at the importance matrix The […]
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 […]
The Value of a Wicket
Hello, today I am going to be looking a the value of a wicket. In one daya cricket be it 20 over of 50 over you have 2 resources. The amount of balls remaining and the amount of wickets remaining. The balls remaining influences what risks the batsman takes however how much does taking a […]
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: https://theparttimeanalyst.com/2019/05/30/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 to find […]
Sport Data Science 