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.