Name: Ipl First Inning Scores
Creator: Kaggle
License: https://www.apache.org/licenses/

About this Dataset

Ipl First Inning Scores

Description:

This comprehensive dataset captures the essence of Indian Premier League (IPL) cricket matches by focusing on the first innings. It provides a rich source of information for predictive modeling and analysis, offering a nuanced understanding of the dynamics that unfold during these crucial phases of the game.

Features:

mid: Denotes the inning of the match, distinguishing between the first and second innings.
date: Represents the date of the match, offering temporal context to the data.
venue: Specifies the venue or ground where the match took place, influencing team strategies.
bat_team: Indicates the team currently batting, a critical aspect of understanding team dynamics.
bowl_team: Identifies the team currently bowling, shaping the match strategy.
batsman: Highlights the batsman on strike, a pivotal player in scoring runs.
bowler: Designates the bowler currently in action, a key figure in taking wickets.
runs: Quantifies the total runs scored by the batting team until the current moment in the inning.
wickets: Tracks the total number of wickets fallen until the current moment, affecting team performance.
overs: Records the total number of overs bowled until the current moment, influencing the pace of the game.
runs_last_5: Details the runs scored in the last 5 balls, offering insights into recent team performance.
wickets_last_5: Specifies the wickets taken in the last 5 balls, indicating recent breakthroughs or challenges.
striker: Represents the total runs made by the batsman on strike, a key contributor to the team's score.
non-striker: Indicates the total runs made by the non-striker, providing a holistic view of team contributions.
total: Serves as the target variable, representing the cumulative total runs aimed by the batting team for the inning.

Use Case:

This dataset is particularly valuable for tasks such as predictive modeling, where it can be employed to forecast the total runs a team is likely to score in the first inning based on a myriad of match-related parameters. Additionally, it enables in-depth statistical analysis to uncover patterns and factors influencing team performance in the dynamic landscape of IPL cricket matches.

Note:

The entries are organized chronologically, each capturing a specific moment in the inning.
The target variable (total) encapsulates the cumulative total runs made by the batting team, serving as the focal point for predictive endeavors.

Tables

Ipl 1

@kaggle.maso0dahmed_ipl_first_inning_scores.ipl_1

391.67 KB
76014 rows
15 columns


CREATE TABLE ipl_1 (
  "mid" BIGINT,
  "date" TIMESTAMP,
  "venue" VARCHAR,
  "bat_team" VARCHAR,
  "bowl_team" VARCHAR,
  "batsman" VARCHAR,
  "bowler" VARCHAR,
  "runs" BIGINT,
  "wickets" BIGINT,
  "overs" DOUBLE,
  "runs_last_5" BIGINT,
  "wickets_last_5" BIGINT,
  "striker" BIGINT,
  "non_striker" BIGINT,
  "total" BIGINT
);