International Cricket Player Performance Stats by Kaggle | Sports

About this Dataset

International Cricket Player Performance Stats

This dataset provides comprehensive performance statistics for international cricket players across three different match formats: ODI, T20, and Test.

The data includes information on individual players' batting, bowling, and fielding performance, as well as details on their matches and teams. Users can analyze the data to gain insights into the world's top cricket players and evaluate their performance across different match types.

The dataset contains over 10,000 records and includes performance data for both male and female cricket players from around the world. The data were collected from official sources and is up-to-date as of September 2021.

Data Fields

Batting

Column	Description
`id`	A unique identifier for each player
`span`	The years during which the player played Test cricket
`matches`	The number of matches played by the player
`innings`	The number of innings played by the player
`not_out`	The number of times the player remained not out
`runs`	The total runs scored by the player
`high score`	The highest score in an innings by the player
`average score`	The average score per innings by the player
`balls faced`	The number of balls faced by the player
`strike rate`	The batting strike rate of the player
`100s`	The number of centuries scored by the player
`50s`	The number of half-centuries scored by the player
`0s`	The number of times the player was dismissed without scoring
`4s`	The number of fours scored by the player
`6s`	The number of sixes scored by the player

Bowling

Column	Description
`id`	A unique identifier for each player
`sp`	The years during which the player played ODI cricket
`bbi`	The best bowling innings by the player
`bbm`	The best bowling match by the player
`bl`	The total number of balls bowled by the player
`bwa`	The bowling average of the player
`bwembwsr`	The economy rate of the player
`cd`	The number of times the player has achieved a 5-wicket haul
`fw`	The number of times the player has taken 4 wickets in an innings
`fwk`	The number of times the player has taken a wicket with their first ball in an innings
`in`	The total number of innings bowled by the player
`md`	The number of maidens bowled by the player
`mt`	The number of matches played by the player
`ov`	The total number of overs bowled by the player
`pr`	The number of times the player has achieved a 3-wicket haul
`tw`	The total number of wickets taken by the player
`wk`	The number of wickets taken by the player per match

Allrounder

Column	Description
`id`	A unique identifier for each player
`bbad`	The best bowling average against a team by the player
`bbi`	The best bowling innings by the player
`bta`	The number of balls to boundary against the player
`bwa`	The number of balls with a wicket taken by the player
`ct`	The number of catches taken by the player
`fw`	The number of five-wicket hauls taken by the player
`hn`	The highest score in an innings by the player
`hs`	The highest score in a series by the player
`pr`	The player rating based on their overall performance

All international players

Column Name	Description
id	Unique identifier of the player
name	Name of the international cricketer
gender	Gender of the player
batting_style	Style of batting of the player
bowling_style	Style of bowling of the player
playing_role	Role played by the player in the team
country_id	Unique identifier of the player's country

Country

Column Name	Description
id	Unique identifier of the country
name	Name of the country

Potential Uses

Analyzing performance trends of individual players over time
Comparing performance metrics between players and teams
Evaluating the impact of individual players on match outcomes
Conducting statistical analyses of player performance within and across different match formats

Acknowledgements

The data were collected from official cricket sources, including the International Cricket Council (ICC) and espncricinfo.

Tables

All Players

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.all_players

18.77 KB
666 rows
7 columns


CREATE TABLE all_players (
  "id" BIGINT,
  "name" VARCHAR,
  "gender" VARCHAR,
  "bating_style" VARCHAR,
  "bowling_style" VARCHAR,
  "playing_role" VARCHAR,
  "country_id" BIGINT
);

Country

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.country

2.24 KB
12 rows
2 columns


CREATE TABLE country (
  "id" BIGINT,
  "country" VARCHAR
);

Fielding

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.fielding

19.14 KB
666 rows
11 columns


CREATE TABLE fielding (
  "id" BIGINT,
  "sp" VARCHAR,
  "cf" DOUBLE,
  "ck" DOUBLE,
  "ct" DOUBLE,
  "ds" DOUBLE,
  "dspi" DOUBLE,
  "mds" VARCHAR,
  "mt" BIGINT,
  "pr" VARCHAR,
  "st" DOUBLE
);

Odi All Round

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.odi_all_round

21.95 KB
347 rows
14 columns


CREATE TABLE odi_all_round (
  "id" BIGINT,
  "bbad" DOUBLE,
  "bbi" VARCHAR,
  "bta" DOUBLE,
  "bwa" DOUBLE,
  "ct" BIGINT,
  "fw" DOUBLE,
  "hn" DOUBLE,
  "hs" VARCHAR,
  "pr" VARCHAR,
  "rn" DOUBLE,
  "st" BIGINT,
  "wk" DOUBLE,
  "sp" VARCHAR
);

Odi Batting

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.odi_batting

25.68 KB
347 rows
15 columns


CREATE TABLE odi_batting (
  "id" BIGINT,
  "span" VARCHAR,
  "matches" BIGINT,
  "innings" DOUBLE,
  "not_out" DOUBLE,
  "runs" DOUBLE,
  "high_score" VARCHAR,
  "average_score" DOUBLE,
  "ball_faced" DOUBLE,
  "strike_rate" DOUBLE,
  "n_100s" DOUBLE,
  "n_50" DOUBLE,
  "n_0s" DOUBLE,
  "n_4s" DOUBLE,
  "n_6s" DOUBLE
);

Odi Bowling

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.odi_bowling

25.53 KB
347 rows
18 columns


CREATE TABLE odi_bowling (
  "id" BIGINT,
  "sp" VARCHAR,
  "bbi" VARCHAR,
  "bbm" VARCHAR,
  "bl" VARCHAR,
  "bwa" DOUBLE,
  "bwe" DOUBLE,
  "bwsr" DOUBLE,
  "cd" DOUBLE,
  "fw" DOUBLE,
  "fwk" DOUBLE,
  "in" DOUBLE,
  "md" DOUBLE,
  "mt" BIGINT,
  "ov" DOUBLE,
  "pr" VARCHAR,
  "tw" DOUBLE,
  "wk" DOUBLE
);

T20 All Round

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.t20_all_round

19.78 KB
327 rows
14 columns


CREATE TABLE t20_all_round (
  "id" BIGINT,
  "bbad" DOUBLE,
  "bbi" VARCHAR,
  "bta" DOUBLE,
  "bwa" DOUBLE,
  "ct" BIGINT,
  "fw" DOUBLE,
  "hn" DOUBLE,
  "hs" VARCHAR,
  "pr" VARCHAR,
  "rn" DOUBLE,
  "st" BIGINT,
  "wk" DOUBLE,
  "sp" VARCHAR
);

T20 Batting

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.t20_batting

23.43 KB
327 rows
15 columns


CREATE TABLE t20_batting (
  "id" BIGINT,
  "span" VARCHAR,
  "matches" BIGINT,
  "innings" DOUBLE,
  "not_out" DOUBLE,
  "runs" DOUBLE,
  "high_score" VARCHAR,
  "average_score" DOUBLE,
  "ball_faced" DOUBLE,
  "strike_rate" DOUBLE,
  "n_100s" DOUBLE,
  "n_50" DOUBLE,
  "n_0s" DOUBLE,
  "n_4s" DOUBLE,
  "n_6s" DOUBLE
);

T20 Bowling

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.t20_bowling

25.52 KB
347 rows
18 columns


CREATE TABLE t20_bowling (
  "id" BIGINT,
  "sp" VARCHAR,
  "bbi" VARCHAR,
  "bbm" VARCHAR,
  "bl" VARCHAR,
  "bwa" DOUBLE,
  "bwe" DOUBLE,
  "bwsr" DOUBLE,
  "cd" DOUBLE,
  "fw" DOUBLE,
  "fwk" DOUBLE,
  "in" DOUBLE,
  "md" DOUBLE,
  "mt" BIGINT,
  "ov" DOUBLE,
  "pr" VARCHAR,
  "tw" DOUBLE,
  "wk" DOUBLE
);

Test All Round

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.test_all_round

19.4 KB
257 rows
14 columns


CREATE TABLE test_all_round (
  "id" BIGINT,
  "bbad" DOUBLE,
  "bbi" VARCHAR,
  "bta" DOUBLE,
  "bwa" DOUBLE,
  "ct" BIGINT,
  "fw" DOUBLE,
  "hn" BIGINT,
  "hs" VARCHAR,
  "pr" VARCHAR,
  "rn" BIGINT,
  "st" BIGINT,
  "wk" DOUBLE,
  "sp" VARCHAR
);

Test Batting

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.test_batting

22.01 KB
257 rows
15 columns


CREATE TABLE test_batting (
  "id" BIGINT,
  "span" VARCHAR,
  "matches" BIGINT,
  "innings" BIGINT,
  "not_out" BIGINT,
  "runs" BIGINT,
  "high_score" VARCHAR,
  "average_score" DOUBLE,
  "ball_faced" BIGINT,
  "strike_rate" DOUBLE,
  "n_100s" BIGINT,
  "n_50" BIGINT,
  "n_0s" BIGINT,
  "n_4s" BIGINT,
  "n_6s" BIGINT
);

Test Bowling

@kaggle.ijajdatanerd_intl_cricketer_stats_odi_t20_tests.test_bowling

25.55 KB
347 rows
18 columns


CREATE TABLE test_bowling (
  "id" BIGINT,
  "sp" VARCHAR,
  "bbi" VARCHAR,
  "bbm" VARCHAR,
  "bl" VARCHAR,
  "bwa" DOUBLE,
  "bwe" DOUBLE,
  "bwsr" DOUBLE,
  "cd" DOUBLE,
  "fw" DOUBLE,
  "fwk" DOUBLE,
  "in" DOUBLE,
  "md" DOUBLE,
  "mt" BIGINT,
  "ov" DOUBLE,
  "pr" VARCHAR,
  "tw" DOUBLE,
  "wk" DOUBLE
);