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Ultimate IPL Fantasy Cricket Dataset
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About
Fantasy cricket enthusiasts and data scientists, drawing on detailed match records which have been meticulously cleaned and enhanced to offer a rich foundation for fantasy cricket analysis and dream team generation. Player performances in batting, bowling, and fielding are translated into fantasy points using a detailed scoring system similar to popular platforms like Dream11. The dataset also identifies optimal dream teams for each match, complete with captain and vice-captain selections derived from statistical analysis and fantasy scoring metrics.
Columns
- match_id: A unique numeric identifier for each match, used to link records to specific matches.
- season: The year the match was played, providing seasonal context.
- match_name: A string representing the teams involved in the match, for example, "GT v CSK".
- home_team: The team that hosted the match based on the location.
- away_team: The visiting team that played against the host.
- venue: The name and location of the stadium where the match took place.
- bowling_team: The team that was bowling during the innings for which the record is logged.
- batting_team: The team to which the batsman belongs, crucial for aggregating team batting performance.
- batting_innings: A numeric field indicating whether the record is from the 1st or 2nd innings of the match.
- fullName: The full name of the batsman, allowing for individual performance tracking across matches and seasons.
- batting_position: The player's position in the batting order, important for analysing performance relative to batting position.
- runs: The total runs scored by the batsman in their innings.
- balls: The number of balls faced by the batsman, used to calculate the strike rate.
- fours: The total number of four-run boundaries hit by the batsman.
- sixes: The total number of sixes hit by the batsman during their innings.
- strike_rate: The batting strike rate, calculated as (runs scored / balls faced) * 100, which assesses a batsman's efficiency and aggressiveness.
- Batting_FP: Fantasy points earned by the batsman based on performance metrics like runs, strike rate, fours, and sixes.
Distribution
The data is organised into separate CSV files for easy access and manipulation:
Match_details.csv, Batting_data.csv, Bowling_data.csv, Fielding_data.csv, and Final_Fantasy_data.csv. The Batting_data.csv file has a size of 1.76 MB and contains 17 columns.Usage
- Fantasy Team Optimisation: Ideal for users looking to craft the perfect fantasy lineup.
- Historical Analysis: Allows for the exploration of trends and performances across seasons.
- Statistical Modelling: A great resource for predictive modelling and machine learning to forecast player performances, match outcomes, or optimal team selections.
Coverage
The dataset covers all seasons of the Indian Premier League (IPL) from 2008 to 2023. It includes information on teams, players, and match venues across these seasons.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: Can use this dataset for statistical modelling and sports analytics.
- Fantasy Cricket Aficionados: Can leverage the data for optimising their fantasy team selections.
- Sports Analysts: Can perform historical analysis of player and team performance trends.
Dataset Name Suggestions
- IPL Fantasy Cricket Dream Team Data
- IPL All Seasons Fantasy Points & Dream Teams
- Fantasy Cricket Analytics: IPL Dream Team Selections
- IPL Player Performance & Fantasy Points
- Ultimate IPL Fantasy Cricket Dataset
Attributes
Original Data Source:Ultimate IPL Fantasy Cricket Dataset
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