Articles by Part Time Analyst

Win Probability Added – Batsman Review

January 12, 2021 | Part Time Analyst

Hello readers and welcome to the batsman review of my win probability added metric review. In the first part, linked here: I created the metric using a logistic regression machine learning model. Now its time to apply the model to real data and look at ...
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F1 2020 Season Review

January 4, 2021 | Part Time Analyst

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 ...
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Twenty20 Win Probability Added

June 20, 2020 | Part Time Analyst

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. ...
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Cricket Moneyball, pt 2

April 12, 2020 | Part Time Analyst

Hello readers, today we have part 2 of this cricket moneyball series. If you missed the first one its here: 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 ...
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The Most Unpredictable League?

February 22, 2020 | Part Time Analyst

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 ...
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Cricket Moneyball?

January 1, 2020 | Part Time Analyst

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 ...
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F1 Drivers Rated

November 2, 2019 | Part Time Analyst

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 ...
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Finding Undervalued Air Bnb’s

September 8, 2019 | Part Time Analyst

Hello, today I am going to do an EDA (exploratory data analysis) on AirBnB in the New York area. This data set is available here on Kaggle Lets read the data into R and take a look of it So I can see there ...
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Predicting Qualifying — 2

July 28, 2019 | Part Time Analyst

In the last blog I outlined creating a model which predicts the fastest time for each driver in 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. ...
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1st Ashes Test — My Team

July 20, 2019 | Part Time Analyst

Hello welcome to today’s blog looking at something a bit different. The first ashes test starts on 1st August and England will imminently name their squad. In this piece I look at what the team for the first game might look like. First things first this is the team ... [Read more...]

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