The idea of the project to display interactive visualizations which includes match-level and season level analysis:
Visualizations are shown at season level and at team level.
Using {worldfootballR} package for extracting data for 2023-24 season.The data includes season level and match level data
The worldfootballR package extracts fbref site data where in there are inbuilt functions to get the statistics for match/season level
Using other R libraries like tidyverse,tidyr ,rvest-for scraping team logos from transfermarkt etc for data cleaning and manipulations
Table packages {reactable} and {reactablefmtr} is used to display the tables in the dashboard)
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Match Summaries
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Match report
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Season Level analysis
Visualizations are shown at season level and at team level.
1.Match Summaries
Every event in a match plays a crucial role in the game of football
From goals to assists to cards etc
Below graphs is represented where in the user selects a team and a corresponding match,
Each event in a match is represented as dot in the graph and when hover over a point the event details are displayed
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"⬆️⬇️"-Substitution
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"🟥"-Red Card
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"🟨"-Yellow Card
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⚽-Goal
.png)
This following match shows event level analysis for particular match-Chelsea vs Manchester City in the above example
Each team is assigned different hex codes according to their kit colour
2.Match Report
Match report table displays the Stats like(Goals Scored,Team Name,Xg,Cards,Goal Scorers etc.)
3.Season Level analysis
In the above season level analysis for the season 2023-24 overall data is displayed with all the numbers like
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Goals Scored,Goals Against
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Win,Loss,Draw
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Points
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Top Goal Scorer of the team
Additional Form column represents the team form overall for 38 week match-season
The top Blue bar represents team won that game and the lower blue point represents the team has drawn the game and red indicates the team has lost the game
Using bindCache() functions in Shiny for optimized performance of the dashboard
Application Link: PL-Analysis