After the 100 day shutdown of football and consequently the Fantasy Premier League competition the return to football was greatly anticipated. Even without fan presence at games people were desperate for the return of the beautiful game. The return of football was interesting as allowances had to be made so that the season could be finished as swiftly and as uninterrupted as possible. This resulted in a ‘festival of football’ in which there was games almost every day for six weeks. To account for the delay and how the season has changed over the last 100 days Fantasy Premier League (FPL) allowed unlimited free transfers before the first game of the return. …
This will probably be my last post about FPL for a couple of reasons. Firstly, I have other things to work on and secondly my friends have been reading these and they are starting to catch me up.
Therefore, to leave off I’ve created a very simple fantasy cheat sheet that incorporates both ROI (see my previous posts for an explanation) and upcoming fixtures. It therefore, combines both major aspects of picking a player: their form as well as their next few opponents.
Therefore, I wont dwell on it and will get straight to the point. Below is an embedded Jupyter notebook which will show both the simple code used to generate the stats (please highlights any errors if there is any) as well as the resulting pandas dataframes. If you don’t care about the code just scroll to the bottom and work your way up. …
I crunched the numbers on Fantasy Premier league (FPL) this season so you don’t have to.
If you haven’t read my last post on this topic, then please go ahead. It shows how I used similar methods to get into the top 1% on the return to FPL after lockdown.
You do not have to have read it to be able to understand this, however.
I will use very simple maths and a little bit of coding (Python) to help find the ultimate FPL starting team for this season.
The theory is the same as last time: Maximum ROI = Maximum…
This piece will look specifically at the role Behavioural Economics can play in combatting pandemics with special attention being paid to the current Covid-19 Virus.
Covid-19 and human decision making
Stopping the Coronavirus is fundamentally a human decision making problem. If every single person in the world made the decision to increase their hygiene levels and self isolate properly there would not be much else we could do to combat the issue. At least until a vaccination is created.
Economists treat public health as a public good, and public good problems are notoriously tricky to solve. There is an intrinsic conflict within every individual between their personal needs and the greater societal needs. In this specific case, individuals personal interests (going outside, socialising with friends and, not stockpiling food) contrast with the greater social interests (staying inside, not socialising and, continuing to buy food at normal, stable, market levels). …