We’re now four rounds into Argentina’s newly-branded Superliga competition, which is a little premature to predict a champion (although there are some candidates) but not so much for seeing some managerial changes (three changes at San Lorenzo, Estudiantes, and most recently Defensa y Justicia). Furthermore, some storylines are starting to emerge from the opening matchdays: […]
My previous post presented my Expected Saves model, and I thank everyone for the response and interest when I tweeted it a few days ago. In this post I’ll apply this model to goalkeeper performance in the previous Primera División championship in Argentina.This analysis takes DataFactory’s match event data from the tournament and calculates expected […]
In addition to expected goals, passing network analysis has become a key element in soccer analytics. I’ve written about network analysis in a couple of Paper Discussions, but haven’t gotten around to exploring the concepts on data from a football competition. I’ll start now with an analysis of which players were most influential in the […]
A continuación doy la lista de los diez jugadores que producen la mayor xG (expectativa de gol) en la Primera División Argentina. Esta lista es válida para los partidos jugados hasta el 30 de abril, que corresponde a la fecha 22 del campeonato. (Hay tres partidos por jugar de la fecha, dos se juegan hoy […]
A couple of weeks ago I posted a list of the top players in Argentina’s Primera División by expected goals. Let’s look at how the table looks with eight matchdays to go. (There remain a couple of matches to be played in Round 22.)It’s always beneficial to compare the expected goals of shot events with […]
One of the applications of match event data is to compare the reported pre-match formation of a team with the formation indicated by their on-field involvements. Many analysts who work with such data have created maps of player positions and passing networks, so the following plots are hardly original, but I did want to see […]
Yo soy aficionado de una multitud de deportes, entre ellos el críquet. Es un juego de bate y pelota que comparte algunos rasgos con el beísbol pero en realidad son primos distantes. En ese deporte, no es inusual que un bateador marca decenas o hasta cientos de carreras, así que es interesante averiguar cómo está marcándolas […]
I’m a big cricket fan (to be honest, there are few sports that I’m not a fan of), and I’ve been fascinated by some of the visualizations that TV production teams use to communicate individual and team performance. One such visualization is the “wagon wheel” that is an overhead view of the paths of all […]
In my post a couple of weeks back on adjusted plus/minus, I said that I wasn’t comfortable with the idea of zeroing out the appearance index for players who were sent off in a football match, but hadn’t come up with a suitable alternative. I’ve arrived upon an alternative now, so I’ll update the model […]
In my previous post on the adjusted plus/minus (APM) metric I displayed the top and bottom twenty in terms of that number. The post was way too long to hold the full list, so I’m going to display it here.I also decided to employ a cutoff for the amount of playing time required to have […]
