Pro-Kabaddi

The Pro Kabaddi League, is a professional-level kabaddi league in India. It was launched in 2014 and is broadcast on Star Sports. The league's inception was influenced by the popularity of the kabaddi tournament at the 2006 Asian Games. The format of the competition was influenced by Indian Premier League.

Pro-Kabaddi-Seassion-1-7-Stats

Dataset containing the statististics, Pro Kabaddi Match level details and each season level summaries.

Folder: - Match_Data
In this folder you will find JSON files in each file, match level stats are availible from season-1 to present seasion-7. including information between teams and winning teams and team level details and each event happened within the play.

Summary Stats
In this folder data classified into different sub-folders. Each folder will have again list of stats related to the specific seasion.

Data Set
DS_match.csv - Contain the Match Details as per the below table
match_id :- Unique ID of for each match
match_number : Same of the above in text format
date : Date of the Match
start_time : Match begin Time on the day
result : Text field explaining what is the result
player_id_of_the_match : player of the match id (can be refered to the DS_players with the combination of Match ID and Player ID
player_name_of_the_match : Player of the match
series_id : season identifier
series_name :season name
status : status of the match
toss_winner : toss winner team id
toss_selection : toss selection
venue_id : location
venue_name : location name
home_team_id : Team ID
home_team_name : description

Dataset has been uploaded from this repository.

Tables

Ds Events

@kaggle.sripaadsrinivasan_prokabadiseassion17stats.ds_events

838.13 KB
66568 rows
41 columns


CREATE TABLE ds_events (
  "unnamed_0" BIGINT,
  "clock" VARCHAR,
  "defender_id" DOUBLE,
  "defenders" VARCHAR,
  "defending_all_out_points" DOUBLE,
  "defending_bonus_points" DOUBLE,
  "defending_capture_points" DOUBLE,
  "defending_points" DOUBLE,
  "defending_team_id" DOUBLE,
  "defending_technical_points" DOUBLE,
  "do_or_die" VARCHAR,
  "event" VARCHAR,
  "event_id" BIGINT,
  "event_no" BIGINT,
  "event_text" VARCHAR,
  "match_id" BIGINT,
  "player_id" DOUBLE,
  "raid_all_out_points" DOUBLE,
  "raid_bonus_points" DOUBLE,
  "raid_points" DOUBLE,
  "raid_technical_points" DOUBLE,
  "raid_touch_points" DOUBLE,
  "raider_bonus" DOUBLE,
  "raider_id" DOUBLE,
  "raiding_team_id" DOUBLE,
  "reason" VARCHAR,
  "reason_id" DOUBLE,
  "review_outcome" VARCHAR,
  "review_outcome_id" DOUBLE,
  "review_outcome_outcome_value" VARCHAR,
  "review_reason" VARCHAR,
  "review_reason_id" DOUBLE,
  "review_reason_reason_value" VARCHAR,
  "review_review_taken" VARCHAR,
  "review_team_id" DOUBLE,
  "score" VARCHAR,
  "status_id" DOUBLE,
  "substituted_by" DOUBLE,
  "super_raid" VARCHAR,
  "super_tackle" VARCHAR,
  "team_id" DOUBLE
);

Ds Match

@kaggle.sripaadsrinivasan_prokabadiseassion17stats.ds_match

38.28 KB
684 rows
17 columns


CREATE TABLE ds_match (
  "unnamed_0" BIGINT,
  "match_id" BIGINT,
  "match_number" VARCHAR,
  "date" VARCHAR,
  "start_time" VARCHAR,
  "result" VARCHAR,
  "player_id_of_the_match" DOUBLE,
  "player_name_of_the_match" DOUBLE,
  "series_id" BIGINT,
  "series_name" VARCHAR,
  "status" VARCHAR,
  "toss_winner" BIGINT,
  "toss_selection" VARCHAR,
  "venue_id" BIGINT,
  "venue_name" VARCHAR,
  "home_team_id" DOUBLE,
  "home_team_name" VARCHAR
);

Ds Players

@kaggle.sripaadsrinivasan_prokabadiseassion17stats.ds_players

219.16 KB
16892 rows
31 columns


CREATE TABLE ds_players (
  "unnamed_0" BIGINT,
  "index" BIGINT,
  "player_id" BIGINT,
  "player_name" VARCHAR,
  "player_short_name" VARCHAR,
  "player_skill" VARCHAR,
  "player_role" VARCHAR,
  "player_red_card" BOOLEAN,
  "player_yellow_card" BOOLEAN,
  "player_green_card" BOOLEAN,
  "player_jersey" BIGINT,
  "player_played" BOOLEAN,
  "player_captain" BOOLEAN,
  "player_on_court" BOOLEAN,
  "player_on_starter" BOOLEAN,
  "player_total_points" BIGINT,
  "player_raid_points_total" BIGINT,
  "player_raid_points_touch" BIGINT,
  "player_raid_points_raid_bonus" BIGINT,
  "player_tackle_points_total" BIGINT,
  "player_tackle_points_touch" BIGINT,
  "player_tackle_points_capture_bonus" BIGINT,
  "player_raids_total" BIGINT,
  "player_raids_successful" BIGINT,
  "player_raids_unsuccessful" BIGINT,
  "player_raids_empty" BIGINT,
  "player_tackles_total" BIGINT,
  "player_tackles_successful" BIGINT,
  "player_tackles_unsuccessful" BIGINT,
  "match_id" BIGINT,
  "team_id" BIGINT
);

Ds Team

@kaggle.sripaadsrinivasan_prokabadiseassion17stats.ds_team

2.3 MB
1368 rows
34 columns


CREATE TABLE ds_team (
  "unnamed_0" BIGINT,
  "id" BIGINT,
  "match_id" BIGINT,
  "name" VARCHAR,
  "score" BIGINT,
  "short_name" VARCHAR,
  "squad" VARCHAR,
  "state_of_play" VARCHAR,
  "state_of_play_is_raiding_now" VARCHAR,
  "state_of_play_last_raid_id" DOUBLE,
  "state_of_play_last_raid_result" VARCHAR,
  "state_of_play_players" VARCHAR,
  "state_of_play_players_on_court" DOUBLE,
  "stats_all_outs" BIGINT,
  "stats_declare" BIGINT,
  "stats_points_all_out" BIGINT,
  "stats_points_declare" BIGINT,
  "stats_points_extras" BIGINT,
  "stats_points_raid_points_raid_bonus" BIGINT,
  "stats_points_raid_points_total" BIGINT,
  "stats_points_raid_points_touch" BIGINT,
  "stats_points_tackle_points_capture" BIGINT,
  "stats_points_tackle_points_capture_bonus" BIGINT,
  "stats_points_tackle_points_total" BIGINT,
  "stats_points_total" BIGINT,
  "stats_raids_empty" BIGINT,
  "stats_raids_successful" BIGINT,
  "stats_raids_super_raids" DOUBLE,
  "stats_raids_total" BIGINT,
  "stats_raids_unsuccessful" BIGINT,
  "stats_tackles_successful" BIGINT,
  "stats_tackles_super_tackles" DOUBLE,
  "stats_tackles_total" BIGINT,
  "stats_tackles_unsuccessful" BIGINT
);