Nepal Premier League Dataset
Discover and Analyze Nepal Premier League Data for Insights and Predictions
@kaggle.sujalgyawali_npl_dataset
Discover and Analyze Nepal Premier League Data for Insights and Predictions
@kaggle.sujalgyawali_npl_dataset
Nepal Premier League (NPL) Dataset
This dataset contains detailed information about the Nepal Premier League, Nepal's premier cricket league featuring top domestic and international players. It is designed to support a wide range of cricket data analysis tasks, from exploratory analysis to predictive modeling.
Features of the Dataset:
Match Details: Information about matches, including teams, dates, venues, and results.
Player Statistics: Individual player performance metrics such as runs scored, wickets taken, strike rates, and economy rates.
Team Performance: Insights into team strategies and win/loss records.
Potential Use Cases:
Performance Analysis: Analyze player and team performance trends.
Match Prediction: Use machine learning to predict match outcomes.
Strategy Insights: Gain insights into team or player strategies for better decision-making.
Visualization: Create dashboards or charts to visualize key metrics such as top scorers, partnerships, or winning streaks.
Fan Engagement: Build applications or platforms to engage cricket fans with interesting stats and trends.
Why Use This Dataset?
Perfect for beginners and experts in sports analytics.
A real-world dataset for applying machine learning and data visualization techniques.
Promotes insights into the rising popularity of cricket in Nepal.
File Information:
File Name: Nepal_Premier_League(1).csv
Contents: This file contains detailed information about all matches in the Nepal Premier League, including team details, match outcomes, and key player performances.
Column Descriptions:
Team 1: Name of the first team playing the match.
Team 2: Name of the second team playing the match.
Toss: Team that won the toss and their decision (e.g., bat or field).
Series: The series or tournament name (e.g., Nepal Premier League 2024).
Season: The year or season of the match.
Player Of The Match: Name of the player awarded for outstanding performance in the match.
Match Days: Number of days the match was played.
Umpires: Names of the umpires officiating the match.
TV Umpire: Name of the umpire overseeing video replays.
Reserve Umpire: Name of the backup or reserve umpire.
Match Referee: Name of the official match referee.
Points: Points awarded to the teams based on the match outcome.
Match Info: Additional match details such as format (e.g., T20, ODI).
Target: The target score set for the chasing team (if applicable).
Winner_Team: Name of the team that won the match.
Won_By_Margin: Margin of victory (e.g., runs or wickets).
Feel free to download, explore, and share your analysis with the Kaggle community!
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