Recently I found this dataset on Kaggle and I am an avid football fan so I decide to create a simple project which predicts the man of the match award.
The dataset is not big, and it contains the following features (typical stats of a football match):
1. Date
2. Team
3. Opponent
4. Goal Scored
5. Ball possesion %
6. Attempts_
7. On-Target
8. Off-Target
9. Blocked
10. Corners
11. Offside
12. Pass Accuracy %
13. Saves
14. Passes
15. Distance Covered (Km)
16. Foul Committed
17. Yellow Card
18. Yellow & Red Card
19. Red
20. 1st Goal
21. Round
22. PSO
23. Goals in PSO
24. Own Goals
25. Own Goal time
The Target is the Man of the Match award.
Since the given dataset is not large, this project is created to practise feature importance/data visualization tools I learned recently.
1. SHAP summary plot
2. SHAP importance plot
3. SHAP dependence contribution plot
