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Cricket Analysis

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Cricket Match Trends

Data Science in Sports

Machine Learning

Cricket Analytics

Sports Data

Match Performance

Player Statistics

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Cricket Analysis Dataset on Opendatabay data marketplace

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Free

About

This dataset contains detailed ball-by-ball information from various cricket matches. It provides an in-depth view of match events, such as player performance, wickets, and scoring patterns, enabling analysis of team strategies, individual contributions, and overall match outcomes.

Dataset Features:

  • Match ID: A unique identifier for each match.
  • Date: The date on which the match was played.
  • Venue: The stadium or location where the match took place.
  • Bat First: The team that batted first in the match.
  • Bat Second: The team that batted second in the match.
  • Innings: The innings number (1 or 2) during the match.
  • Over: The over in which the ball was bowled.
  • Ball: The specific ball in the over.
  • Batter: The player on strike facing the delivery.
  • Non-Striker: The player at the non-striker's end.
  • Bowler: The bowler delivers the ball.
  • Batter Runs: The runs scored by the batter from a specific ball.
  • Extra Runs: Additional runs awarded due to extras (integer value.).
  • Runs From Ball: Total runs scored off the delivery, including extras.
  • Ball Rebowled: Indicates whether the ball was re-bowled (Yes - 1/No - 0).
  • Wicket: Indicates whether a wicket was taken (Yes - 1/No - 0).
  • Method: Describes how the batter got out (e.g., bowled, caught, LBW).
  • Player Out: The name of the player dismissed.
  • Innings Runs: Total runs scored in the respective innings.
  • Innings Wickets: Total wickets lost in the innings.
  • Target Score: The score the batting team is chasing (if applicable).
  • Runs to Get: Runs needed to win at that point in the match.
  • Balls Remaining: Number of balls left in the innings.
  • Winner: The team that won the match.
  • Chased Successfully: Indicates whether the target was successfully chased (1 for Yes, 0 for No).

Usage:

This dataset is ideal for cricket analytics and machine learning tasks, including:
  • Analysing player and team performance trends.
  • Training predictive models for match outcomes.
  • Developing simulation tools for cricket strategy optimisation.
  • Identifying key moments and contributors in matches.

Coverage:

The dataset encompasses critical match and ball-level details, capturing the intricacies of cricket gameplay. It is suitable for exploring various analytical dimensions, such as player efficiency, bowling performance, and team tactics.

License:

CC0 (Public Domain)

Who can use it:

This dataset is designed for data scientists, sports analysts, machine learning practitioners, and cricket enthusiasts interested in leveraging data for sports analytics.

How to use it:

  • Build predictive models for match outcomes and player performances.
  • Analyse player contributions in different match contexts.
  • Conduct exploratory data analysis on cricket match events.
  • Simulate match scenarios to evaluate team strategies.

Dataset Information

VIEWS

13

DOWNLOADS

2

LICENSE

CC0

REGION

GLOBAL

UDQSSQUALITY

5 / 5

VERSION

1

Free