Some Football Analytics Snippets https://znstrider.github.io/ Der Relative Age Effect in deutschen Fußball Nachwuchsleistungszentren Zusammengefasst: 1) In allen U19 Teams der deutschen Fußball Nachwuchsleistungszentren (NLZ) sind in den ersten Monaten geborene Spieler deutlich überrepräsentiert (Relative Age Effect). 2) Von diesen U19 Spielern schaffen es spätgeborene häufiger in den Profifußball (Reverse Relative Age Effect). 3) Von der... Tue, 06 Oct 2020 00:00:00 -0700 https://znstrider.github.io/2020-10-06-Relative-Age-Effect-in-den-U19-Mannschaften-der-deutschen-Nachwuchsleistungszentren/ https://znstrider.github.io/2020-10-06-Relative-Age-Effect-in-den-U19-Mannschaften-der-deutschen-Nachwuchsleistungszentren/ Alone in the Corner Part 3: The Expected Value of a Corner Sequence In Part One of this series, I introduced my corner delivery zone visualization. In my second piece I used that to look at the differences between corners overall and inswinging vs outswinging corners. I finished that up... Thu, 28 Feb 2019 00:00:00 -0800 https://znstrider.github.io/2019-02-28-Alone-In-The-Corner-Part-3-The-Expected-Value-of-a-Corner-Sequence/ https://znstrider.github.io/2019-02-28-Alone-In-The-Corner-Part-3-The-Expected-Value-of-a-Corner-Sequence/ Alone in the Corner - Part 2 In my first piece on corners I gave a brief motivation on my work on corners and introduced my method of seperating deliveries based on the zone of first contact. In this piece, I will have a further look into how corners are... Thu, 17 Jan 2019 00:00:00 -0800 https://znstrider.github.io/2019-01-17-Alone-in-the-Corner-Part2/ https://znstrider.github.io/2019-01-17-Alone-in-the-Corner-Part2/ Alone in the Corner For a long time I - as many people - was under the impression that goals from corners are largely due to randomness. Whenever my team conceded a goal from a corner I would lament the recurrent luck of the opposing team, and wish that luck... Thu, 10 Jan 2019 00:00:00 -0800 https://znstrider.github.io/2019-01-10-Alone-In-The-Corner/ https://znstrider.github.io/2019-01-10-Alone-In-The-Corner/ Finding Patterns in Statsbomb Data: Non-Negative Matrix Factorization Applications import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns sns.set_style('darkgrid') %matplotlib inline from PyFootballPitch.drawpitch import drawpitch import warnings warnings.filterwarnings('ignore') Let’s first read in the data. If you have not read my article on getting... Wed, 14 Nov 2018 00:00:00 -0800 https://znstrider.github.io/2018-11-14-SBData-Non-Negative-Matrix-Factorization/ https://znstrider.github.io/2018-11-14-SBData-Non-Negative-Matrix-Factorization/ Getting Started with Statsbomb Data 1) Get the Data Go to https://github.com/statsbomb/open-data, click on the green ‘Clone or download’ button and choose download ZIP to your harddrive. Unpack the zip. 2) Take the time to read their terms and conditions. From their github page: “Whilst we are keen to share... Sun, 11 Nov 2018 00:00:00 -0800 https://znstrider.github.io/2018-11-11-Getting-Started-with-StatsBomb-Data/ https://znstrider.github.io/2018-11-11-Getting-Started-with-StatsBomb-Data/ Marek Kwiatkowski and Garry Gelade (1) (2) have included the visible angle of the goal (which is the angle at the shooter of the triangle shooter, left post, right post) in their xG-Models. What I have not seen is a visualization of those angles and a discussion of how this concept... Thu, 08 Nov 2018 00:00:00 -0800 https://znstrider.github.io/2018-11-08-Analysing-the-Importance-of-Shot-Angles/ https://znstrider.github.io/2018-11-08-Analysing-the-Importance-of-Shot-Angles/