Data Analysis report on Kaggle football dataset

Spot weaknesses and strengths in the teams/players in order to help them.
Look at the performance of teams & players.
Explore which kind of game piece the best team is using to win.
Statistical Data Analysis on the kaggle football dataset.
Detailed Analysis of Cards

What is this project?

Football Dataset Analysis is a project to analyse and extract information from the kaggle football dataset. I have mainly focused on Spanish La Liga in my analyses. Kindly see all the outputs of analysis in the pdf report above.

Tools and libraries used for development;

ditor: Jupyter Notebook
Programming language: Python 3

Libraries:
1. numpy
2. warning
3. matplotlib
4. pandas
5. seaborn

Dataset Description:

Game_info.csv
- ID: game id
- General: league, season, date and host country.
- Teams: home and away teams.
- Results: home and away goals.
- Odds: odds on (home win, away win and draw)
Events.csv:
- ID: game id and event id.
- Teams: playing team and opponent.
- Player: players involved in the event, bodypart, assist method and
- situation.
- Shot: location (in the pitch), outcome, place, and is_goal or not.

Detailed Analysis of Goals:

Most offensive teams in La Liga
Most offensive Players in La Liga
The teams with best shooting accuracy in La Liga
Goals scored by teams in the first 15 minutes and the last 15 minutes
Goal Situation & Shot Outcome: Barcelona vs Real Madrid
- Real Madrid
- Barcelona
Team analysis for red cards in La Liga
Red card occurance v/s Time
When are goals most likely to be scored in La Liga
Placement of penalties on the goal

Codes