cricket_data

This repository will act as a backend for the cricket data processed from Cricsheet

General format of each game type

Each game type has a folder with 11 files in it. These files contain ball by ball data, meta information about the game and meta information about the file itself. The 11 files are:

  1. Bowl out Dataframe - information about who participated in the Bowl out if it occurred for a match - bowl_out_cf.csv
  2. Dates dataframe - date or dates of when each match was played - dates_df.csv
  3. Info Dataframe - information about where and when each match occurs. It also contains the player of the match - info_df.csv
  4. Innings Dataframe - ball by ball information on each match - innings_df.csv
  5. Meta Dataframe - meta information about the file containing match details - meta_df.csv
  6. Outcome Dataframe - information about which team won the match and by what margin - outcome_df.csv
  7. Player of match Dataframe - information about the player or players of the match. There have been matches where there were more than 1 player of the match - pom_df.csv
  8. Supersub Dataframe - information about who participates in the supersub format. - supersub_df.csv
  9. Team Dataframe - information about which teams are participating in the match - team_df.csv
  10. Toss Dataframe - information about which team won the toss and whether they chose to bat or field - toss_df.csv
  11. Umpires Dataframe - information about who were on field umpires in each match - umpires_df.csv

Game types available

Game Type Abbreviation Link
Afghanistan Premier League apl APL Data
Big Bash League bbl BBL Data
Bangladesh Premier League bpl BPL Data
Caribbean Premier League cpl CPL Data
Indian Premier League IPL IPL Data
Lanka Premier League lpl LPL Data
Mzansi Super League msl MSL Data
Natwest T20 Blast ntb NTB Data
Pakistan Super League PSL PSL Data
T20 Internationals t20s T20I Data
Women’s Big Bash wbb WBB Data
Women’s Cricket Super League wsl WSL Data
Women’s T20 Challenge wtc WTC Data

How to use the API to fetch data

  1. The base url for a dataframe of any game type is “https://sawlachintan.github.io/cricket_data/”
  2. If the game type required is “IPL” and the dataframe required is toss, then append “ipl_data/toss_df.csv” to the base url.

Note

For any issues with the files, raise an issue in the repo.

Strucutre of the dataframes

Meta

Name Type Desc
key string A common ID to relate info across dataframes
data_version float version of the file from where data is fetched
created date date on which the file was created
revision int number of times the file was revised.

Info

Name Type Desc
key string A common ID to relate info across dataframes
city string name of the city where the match is played
competition string name of the competition
date date date of the match
gender string gender of the players in the match
match_type string format of the game
player_of_match string name of the first player of the match
venue string name of the stadium where the match is held
neutral_venue boolean if the match is played at a neutral venue or not

Dates

Name Type Desc
key string A common ID to relate info across dataframes
date date dates of when the matches were held

Player of Match

Name Type Desc
key string A common ID to relate info across dataframes
player_of_match string name of the players of match

Umpires

Name Type Desc
key string A common ID to relate info across dataframes
umpire string Names of the umpires for the match

Outcome

Name Type Desc
key string A common ID to relate info across dataframes
by_innings int number of innings the match was won by
by_type string how the winning team won - runs or wickets
by_margin string number by which the team won
bowl_out string name of the team who won the bowl_out
eliminator boolean if the match was an eliminator match or not
method string different method of winning D/L or 1st innings score
result string draw, no result, or tie when no team won the match
winner string name of the team who won the match

Teams

Name Type Desc
key string A common ID to relate info across dataframes
team string Names of the teams participating in the match

Toss

Name Type Desc
key string A common ID to relate info across dataframes
decision string Choice of team winning the toss
winner string Name of the team winning the toss for the match

Innings

Name Type Desc
key string A common ID to relate info across dataframes
inning_no int Innings number of the particular match
delivery_no float ball and over number of the innings
batting_team string name of the team batting in that innings
batter string name of the batsman facing the ball
bowler string name of the bowler bowling the ball
non_striker string name of the person on the other end of the pitch
runs_batter int number of runs scored by the batsman in that ball
runs_extras int extra runs gotten off the delivery
runs_non_boundary int runs that were more than 4 but not from a boundary
runs_total int total runs scored from the delivery
wicket_fielder string name of the fielder who is part of getting the wicket
wicket_kind string manner in which batsman/non_striker lost the wicket
wicket_player_out string name of the player who got out in that delivery
extras_type string name of the way in which the extra runs were rewarded
extras_run int runs rewarded from the type of extras
over int over number of the innings
n_ball int ball of the over