Most Wednesday’s I enjoy reading The Knowledge blog on the Guardian’s website and reading the football trivia therein. When time (and questions) allow, I like to answer some of the questions posed, example of which are here, here, and here.
League of Nations The first question comes from
Which player had the nationality with the lowest FIFA World Ranking at the time of him winning the Premier League? — The Tin Boonie (@TheTinBoonie) June 18, 2019 a similar question is also answered in this weeks column:
For anyone watching football, being able to predict matches is a key aspect of the hobby. Whether explicitly (e.g. when betting on matches, or deciding on recruitment for an upcoming season), or more implicitly when discussing favourites to win the league in the pub, almost all discussion of the sport on some level require predictions about some set of upcoming games.
The first step of prediction is some form of quantification of ability.
When studying why people make the economic choices they do, we need some way of quantifying the value to the person of the offered choices. For instance, when deciding whether to ride to my office by bike or instead catch the bus, there are myriad factors that my brain feeds into an equation to get two values:
the utility of taking the bus the utility of riding my bike For instance, if it looks like it might rain, I’m more likely to take the bus as getting soaked reduces the utility of cycling to work.
In what is becoming a repeated series, I enjoy answering trivia questions from The Guardian’s The Knowledge football trivia column.
There’s a few questions that built up that seemed amenable to coding answers so I’ve taken a stab at them here
#munging library(tidyverse) library(data.table) library(zoo) #english football data library(engsoccerdata) #web data scraping library(rvest) #plotting library(openair) Calendar Boys The first question this week concerns players scoring on (or nearest to) every day of the year