Cricket Analytics for Performance Optimization in T20 Leagues

 

 Cricket Analytics Project

 Introduction

This report presents an analysis of cricket data focusing on player performance, team statistics, and insights derived from three years of data. The dataset includes information about matches, players, batting and bowling statistics, as well as additional data for the 2024 season. The analysis aims to provide valuable insights for team management, player selection, and strategic decision-making in cricket tournaments.

 Data Import and Preprocessing

 Libraries

- Imported necessary libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data manipulation, analysis, and visualization.

 Dataset

- Imported four datasets: `dim_match_summary`, `dim_players`, `fact_bating_summary`, and `fact_bowling_summary`.

- Preprocessed the datasets by adjusting data types, handling missing values, and converting date formats where necessary.

 Primary Insights

 1. Top 10 Batsmen by Total Runs Scored (Past 3 Years)

- Identified the top 10 batsmen based on their total runs scored over the past three years.

- Insights:

  - Shubman Gill, Faf du Plessis, and Ruturaj Gaikwad are among the top run-scorers.

 2. Top 10 Batsmen by Batting Average (Past 3 Years)

- Analyzed the batting average of players with a minimum of 60 balls faced in each season.

- Insights:

  - Quinton de Kock, Yashasvi Jaiswal, and Sanju Samson have the highest batting averages.

3. Top 10 Batsmen by Strike Rate (Past 3 Years)

- Examined the strike rate of players with a minimum of 60 balls faced in each season.

- Insights:

  - Quinton de Kock, Yashasvi Jaiswal, and Sanju Samson exhibit the highest strike rates.

4. Top 10 Bowlers by Total Wickets Taken (Past 3 Years)

- Identified the top 10 bowlers based on the total number of wickets taken.

- Insights:

  - Mohammed Shami, Yuzvendra Chahal, and Harshal Patel lead in wicket-taking.

 5. Top 10 Bowlers by Bowling Average (Past 3 Years)

- Examined the bowling average of bowlers with a minimum of 60 balls bowled in each season.

- Insights:

  - Mark Wood, Mohit Sharma, and Michael Bracewell have the lowest bowling averages.

 6. Top 10 Bowlers by Economy Rate (Past 3 Years)

- Analyzed the economy rate of bowlers with a minimum of 60 balls bowled in each season.

- Insights:

  - David Willey, Mitchell Santner, and Sunil Narine exhibit the most economical bowling rates.

 7. Top 5 Batsmen by Boundary Percentage (Fours and Sixes)

- Calculated the percentage of boundaries (fours and sixes) based on the number of matches played.

- Insights:

  - Vivrant Sharma, Chris Lynn, and Jos Buttler have the highest boundary percentages.

 8. Top 5 Bowlers by Dot Ball Percentage

- Determined the percentage of dot balls bowled by each player.

- Insights:

  - Fabian Allen, Basil Thampi, and Mark Wood have the highest dot ball percentages.

 9. Top 4 Teams by Winning Percentage

- Identified the top four teams based on their winning percentages.

- Insights:

  - Titans, Super Giants, RCB, and Super Kings have the highest winning percentages.

 10. Top 2 Teams with Highest Number of Wins by Chasing Targets

- Identified the top two teams with the highest number of wins achieved by chasing targets.

- Insights:

  - KKR and Capitals have the most wins while chasing targets.

 Secondary Insights

1. Orange and Purple Cap Players

- Identified potential candidates for the Orange and Purple caps based on their performance.

- Insights:

  - Players like Virat Kohli and Jasprit Bumrah are strong contenders.

2. Top 4 Qualifying Teams

- Identified the top four teams more likely to qualify for the playoffs.

- Insights:

  - Rajasthan Royals, Lucknow Super Giants, Kolkata Knight Riders, and Sunrisers Hyderabad are strong contenders.

3. Winner and Runner-Up

- Determined the winner and runner-up of the 2024 IPL season.

- Insights:

  - Rajasthan Royals secured the first position, followed by Kolkata Knight Riders.

4. Best 11 Players Selection

- Proposed a selection of the best 11 players based on their positions, three years of performance data, and additional research.

- Insights:

  - The team includes players like Faf du Plessis, Jos Buttler, Mohammed Shami, and MS Dhoni.

 Conclusion

The analysis provides valuable insights into player performance, team statistics, and potential outcomes for the 2024 cricket season. These insights can aid team management, player selection strategies, and overall decision-making processes in cricket tournaments. By leveraging data-driven approaches, teams can optimize their performance and increase their chances of success in competitive cricket leagues.