Skip to content

This repository contains SQL queries for analyzing cricket match and predictions for the upcoming cricket season.

Notifications You must be signed in to change notification settings

MasterMindRomii/IPL-Prediction-Using-Pandas

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 

Repository files navigation

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.

About

This repository contains SQL queries for analyzing cricket match and predictions for the upcoming cricket season.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published