Reading Time: 10 minutes This is an update to last year’s web scraping tutorial. I focus on getting data from my beloved fbref.com for Manchester City, the English Premier League 2021-22 champions. This guide uses R programming.
Tag: football
EURO 2020 Series: The Statistical Breakdown of Full Backs
Reading Time: 10 minutes Moving forward to our second article of the EURO 2020 series, we present to you the statistical breakdown of full backs. As I have already written in the introduction these articles do not aim to analyse every aspect of the game and cannot possibly include an analysis of every different role and style of play of individual positions. Therefore, full-backs, wing backs, and complete wing backs will feature the present article.
EURO 2020 SERIES: The Statistical Breakdown of Central Defenders
Reading Time: 9 minutes We present different central defenders and their EURO 2020 stats, having analysed their performance over nine different categories.
EURO 2020 Introduction to the Statistical Breakdown of Every Position
Reading Time: 3 minutes Some days after I watched the EURO 2020 Final, I was contemplating what should be our farewell to the competition. I had already decided that I was not interested in writing an analysis of the Final and instead I believed that it would be more interesting to focus on the best performers. After a discussion with Bill, the idea of a series of articles focused on the players’ statistical breakdown was born.
Messi and Neymar Top the 2021 Copa América Player Stats Leaderboards
Reading Time: 5 minutes In a hard fought final against Brazil, Argentina won their 1st Copa América title since 1993. Messi gave it all he had and won his first ever international title. He really wanted to lift the trophy and the stats we gather prove that!
EURO 2020 Semi-Finals analysis and a breakdown of the final
Reading Time: 7 minutes Italy went for a different approach, struggled against the ball-dominant Spain but Donnarumma saved the day. England was the better team, missed plenty of chances but needed some extra help to qualify to the Final.
Advanced Soccer Analytics: EURO 2020 Final Predictions (A Shot of Poisson)
Reading Time: 7 minutes What a EURO it has been! It’s had it all: emotions, tension, goals, own goals, records broken, controversial decisions. The EURO 2020 will definitely be remembered for years to come! The final will be played at the Wembley Stadium in London. Can England lift their first EURO trophy in their home ground? Is “football coming home” or is “football coming to Rome”?
EURO 2020 Player Clusters: The Good, the Bad, and the Awesome (Semi-Finals Edition)
Reading Time: 7 minutes This EURO’s semi-finals contain a very impressive group of players. There are so many players that stand out from each team, each for their own
Advanced Soccer Analytics: EURO 2020 Semi-Finals Predictions (I got the Poisson, I got the Remedy)
Reading Time: 7 minutes The EURO2020 is turning out as the tournament of surprises and high scores. The model managed to successfully predict the good and efficient performance of Belgium and England. It also predicted that the match between Spain and Croatia would be balanced (with a slight advantage in favor of Spain, as it turned out in overtime). Italy had a hard time but eventually progressed while in the other knockout matches we had surprises that were difficult to predict by a model or experts of the sport. The definition of the model is given in detail at the end of this article.
Betting Value: Finding Value in the Bookmakers’ Odds (EURO 2020 Quarter-Finals Day 2)
Reading Time: 5 minutes Our attempt here is to find where bookmakers’ overvalue or undervalue an outcome. To do that, we compare the probabilities and odds of the bookmakers to those of the bivariate Poisson model.
Advanced Soccer Analytics: EURO 2020 Quarter-Finals Predictions (Choose Your Poisson)
Reading Time: 7 minutes The EURO2020 is turning out as the tournament of surprises and high scores. The model managed to successfully predict the good and efficient performance of Belgium and England. It also predicted that the match between Spain and Croatia would be balanced (with a slight advantage in favor of Spain, as it turned out in overtime). Italy had a hard time but eventually progressed while in the other knockout matches we had surprises that were difficult to predict by a model or experts of the sport. The definition of the model is given in detail at the end of this article.
EURO 2020 Goalkeepers: What Do the Stats Tell us?
Reading Time: 3 minutes What kind of stats would a coach want to see for his goalkeeper? Of course, 0 saves off of 0 shots on target. The better the defense the happier the manager! But, in a realistic scenario such as this year’s EUROs, keepers must be able to block shots and also play with their feet.
Betting Value: Finding the Bookmakers’ Mistakes (EURO 2020 Quarter-Finals Day 1)
Reading Time: 5 minutes Our attempt here is to find where bookmakers’ overvalue or undervalue an outcome. To do that, we compare the probabilities and odds of the bookmakers to those of the bivariate Poisson model.
UEFA EURO 2020 Group Stage Stats Recap: Top Players – Part 4 of 4 (Round 16 Matchday 4)
Reading Time: 3 minutes Team Stats leaders that play on June 28 knockout games: Toni Kroos, Kalvin Phillips, Alexander Isak, Andriy Yarmolenko
UEFA EURO 2020 Group Stage Stats Recap: Top Players – Part 3 of 4 (Round 16 Matchday 3)
Reading Time: 3 minutes Team Stats leaders that play on June 27 knockout games: Memphis Depay (3rd), Cristiano Ronaldo (5th), Kevin De Bruyne (14th), Patrik Schick