# Visualisations

## Match Report Part 6 - Shooting Analysis

In part 6 of our match report series, find out how to dig a little deeper in to your data with a simple shooting analysis of the match.

## Match Report Part 5 - Season Ranking

In Part 5 of our match report series, we look back at what we have done so far and also add performance of our team throughout the season. Check it out today!

## Match Report Part 4 - Recent Performance

In Part 4 of our match report series we will show performance over recent matches to help visualise how the team is trending.

## Plotting Event Data in Matplotlib

In this Python Tutorial I will plot event data from StatsBomb in a few different scenarios. This will include shots and passes from a single match. This data will be called using the StatsBomb python library and reformatted entirely in Python. I hope you enjoy.

## Match Report Part 3 - Today's Performance

In Part 3 of our match report series we add some stats to show the performance of the team in the given match.

## Tutorial - Team Shot Dashboard

Hi guys, In this weeks tutorial, we are expanding on the shot plot we created in R by adding some extra information to easily understand the plot and some context around it.

## Match Report Part 2 - Set-Up Page

In Part 2 of our match report series we add a set-up page to filter our report page. This page will help to filter our reports to a given match for a team.

## Match Report Part 1 - Data Load

Hi all, Welcome to a new series of videos I am starting this week, creating a match report using StatsBomb event data. This series will run over a few videos, starting with this first video walking through loading data in to Power Bi.

## Tutorial - Ranking Player Performance

Hi all, In this video I am going to show you an easy way of ranking players within a given context. For this I will create a measure that defines the percentile of players within the positional and season context of your choosing.

## Tutorial - Plotting Shots With R Part 2

Hi all, In my next video, I build upon the shot plot we created a couple of videos ago using R. This plot was built using ggplot2 and ggsoccer, which allows us to more accurately plot our data.