https://github.com/mastermindromii/ipl-prediction-using-pandas
This repository contains SQL queries for analyzing cricket match and predictions for the upcoming cricket season.
https://github.com/mastermindromii/ipl-prediction-using-pandas
analysis cricket ipl pandas predictions
Last synced: 3 months ago
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This repository contains SQL queries for analyzing cricket match and predictions for the upcoming cricket season.
- Host: GitHub
- URL: https://github.com/mastermindromii/ipl-prediction-using-pandas
- Owner: MasterMindRomii
- Created: 2024-04-11T08:36:15.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-11T09:13:31.000Z (about 1 year ago)
- Last Synced: 2025-01-08T08:46:27.069Z (5 months ago)
- Topics: analysis, cricket, ipl, pandas, predictions
- Language: Jupyter Notebook
- Homepage:
- Size: 502 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Cricket Data Analysis
This repository contains SQL queries for analyzing cricket match data. These queries are designed to extract valuable insights from various tables including `dim_match_summary`, `dim_players`, `fact_batting`, and `fact_bowling`. Below are the queries along with explanations and predictions for the upcoming cricket season.
## Tables
- `dim_match_summary`: Contains summary data of cricket matches.
- `dim_players`: Contains information about players.
- `fact_batting`: Contains batting statistics.
- `fact_bowling`: Contains bowling statistics.
## Queries
1. **Top 10 Batsmen by Total Runs (Past 3 Years)**
- Identifies the top 10 batsmen based on the total runs scored in the past three years.
2. **Top 10 Batsmen by Batting Average (Past 3 Years)**
- Lists the top 10 batsmen based on batting average, considering a minimum of 60 balls faced in each season.
3. **Top 10 Batsmen by Strike Rate (Past 3 Years)**
- Ranks the top 10 batsmen by strike rate, with a minimum of 60 balls faced in each season.
4. **Top 10 Bowlers by Total Wickets Taken (Past 3 Years)**
- Highlights the top 10 bowlers based on the total wickets taken in the past three years.
5. **Top 10 Bowlers by Bowling Average (Past 3 Years)**
- Lists the top 10 bowlers based on bowling average, considering a minimum of 60 balls bowled in each season.
6. **Top 10 Bowlers by Economy Rate (Past 3 Years)**
- Identifies the top 10 bowlers based on economy rate, with a minimum of 60 balls bowled in each season.
7. **Top 5 Batsmen by Boundary Percentage (Past 3 Years)**
- Lists the top 5 batsmen based on the percentage of boundaries (fours and sixes) scored.
8. **Top 5 Bowlers by Dot Ball Percentage (Past 3 Years)**
- Highlights the top 5 bowlers based on the percentage of dot balls bowled.
9. **Top 4 Teams by Winning Percentage (Past 3 Years)**
- Identifies the top 4 teams based on their winning percentage in the past three years.
10. **Top 2 Teams by Wins Chasing Targets (Past 3 Years)**
- Highlights the top 2 teams with the highest number of wins achieved by chasing targets.
## Predictions for 2024
### Orange and Purple Cap Players
- **Orange Cap**: Awarded to the player with the highest total runs in the season. Predicts potential contenders based on consistent growth in runs scored.
- **Purple Cap**: Awarded to the player with the most wickets. Predicts potential contenders based on total wickets taken and consistent performance.
### Top 4 Qualifying Teams Predictions
- Predicts the top 4 teams likely to qualify for the upcoming season based on past performance.
### Winner and Runner-up Prediction
- Predicts the potential winner and runner-up for the upcoming season based on the analysis of the last three years' data.
## Note
- These predictions are based on historical data and should be used as a reference for analysis purposes only. Actual outcomes may vary.
- Data accuracy and completeness may influence the accuracy of predictions.