Årets Eliteseriesesong er over, og da er det greit å ta et statistisk tilbakeblikk på hvordan det har gått. Jeg har allerede oppsummert hvor godt AMELO-modellen gjorde det i forhold til andre sannsynlighetsmodeller. I denne artikkelen tenkte jeg å ta en kikk på et annet område der god analyse kan gi et fortrinn, og om […]
Tag Archives: analytics
Evaluating Eliteserien Prediction Models
There were a few Eliteserien prediction models for the 2017 season, including the one on this site. Now that the season has ended, it’s time to evaluate these models and see how well they did. The models I’ll be comparing are our own ELO-model, the FiveThirtyEight Club Soccer Predictions, as well as the betting odds […]
Just Hit the Target! Redux.
In previous articles, I’ve explored the relationship between a players ability to hit the target and over/under-performing his expected goals (xG). In this article I will continue this exploration of the data from the xG Ineractive Tables from American Soccer Analysis, focusing on the 2015-2017 MLS seasons. As seen in Exploring Shots in MLS, some […]
Exploring Shots in Major League Soccer 2015-2017
In a previous article, Finishing Skill and Its Effect on Expected Goals, I used data from the 2017 season to explore shots in MLS, and the effect the number of shots on target could have on xG. That was a small sample size, but the preliminary findings were interesting. There does indeed seem to be […]
Expected Goals and Clean Sheets
The concept of Expected Goals (xG) has been around for quite a while, and xG maps add value when analyzing a game. One thing that I would like to see in these maps though is the relationship between expected goals and clean sheets. Specifically, what was the chance of a team having a clean sheet […]