Name: Indian Super League
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Indian Super League

Detailed Team, Match, and Transfer Information

By Ajai Govind G [source]

About this dataset

The Hero Indian Super League dataset contains detailed information about the teams, managers, matches and transfers that have taken place within it. This includes a breakdown of team profiles such as year founded and home ground, records of each team's managers from past to present with their country of origin and date of birth details, a comprehensive summary of individual matches with details such as referee names and stadium location, as well as an overview of all transfers including transfer values.

In addition to providing comprehensive coverage on what has already taken place in the Hero Indian Super League (ISL), this dataset also holds promise for further analysis by hosting additional data points in its tables. These may include records on match attendance numbers or even more detailed information offering insight into players’ career arcs within the ISL itself. By delving deeper into this dataset now we can gain greater clarity into how different clubs have developed over time since its establishment in 2014 up until today

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How to use the dataset

Research Ideas

Analyzing the performance of teams in relation to their coaches/managers to find out which personnel help ensure a team's success in the Hero Indian Super League. By looking at win ratios, points earned, goals scored and conceded, etc., it can be determined which managers are best suited for helping a team reach its goals.

Comparing player transfers across seasons to observe any trends or patterns within the league regarding how many players change clubs each season and in what positions they are transferring too. This analysis could be used to predict which teams may have an advantage or disadvantage when it comes to transfers that year and make predictions as to who may finish higher/lower on the table due to this factor.

Identifying top performing players within key statistical categories such as number of goals scored, assists provided, saves made by goalkeepers etc., This analysis could then be used by teams scouting for new talent or even used by fantasy football managers looking for potential bargain pickups!

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: Season_Teams.csv

File: Teams_Manager_History.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Ajai Govind G.

Tables

All Matches

@kaggle.thedevastator_hero_indian_super_league_dataset_analysis.all_matches

11.65 kB
278 rows
2 columns

CREATE TABLE all_matches (
  "index" BIGINT,
  "season_matchid_round_date_time_pso_aet_team1_code_team_13783b72" VARCHAR  -- Season|\"MatchID\"|\"Round\"|\"Date Time\"|\"PSO\"|\"AET\"|\"Team1 Code\"|\"Team1 Name\"|\"HT Team1 Goals\"|\"FT Team1 Goals\"|\"ET Team1 Goals\"|\"PS Team1 Goals\"|\"Team2 Code\"|\"Team2 Name\"|\"HT Team2 Goals\"|\"FT Team2 Goals\"|\"ET Team2 Goals\"|\"PS Team2 Goals\"
);

All Transfers

@kaggle.thedevastator_hero_indian_super_league_dataset_analysis.all_transfers

68.73 kB
1,443 rows
2 columns

CREATE TABLE all_transfers (
  "index" BIGINT,
  "season_team_player_dob_age_nationality_current_club_he_9f575c56" VARCHAR  -- Season|\"team\"|\"player\"|\"dob\"|\"age\"|\"nationality\"|\"current.club\"|\"height.cm\"|\"foot\"|\"joined\"|\"contract.start\"|\"contract.end\"|\"curr.market.value.EUR\"|\"prev.market.value.EUR\"
);

Match Info

@kaggle.thedevastator_hero_indian_super_league_dataset_analysis.match_info

11.61 kB
278 rows
2 columns

CREATE TABLE match_info (
  "index" BIGINT,
  "stadium_attendance_referee_asst_referee_1_asst_referee_3803761e" VARCHAR  -- Stadium|\"Attendance\"|\"Referee\"|\"Asst Referee 1\"|\"Asst Referee 2\"|\"MatchID\"
);

Match Report

@kaggle.thedevastator_hero_indian_super_league_dataset_analysis.match_report

247 kB
11,167 rows
2 columns

CREATE TABLE match_report (
  "index" BIGINT,
  "jersey_no_player_card_time_substitution_time_p_s_team__eac17d1d" VARCHAR  -- Jersey No|\"Player\"|\"Card Time\"|\"Substitution Time\"|\"P S\"|\"Team Code\"|\"Goal Time\"|\"MatchID\"
);

Player Bio

@kaggle.thedevastator_hero_indian_super_league_dataset_analysis.player_bio

39.2 kB
1,388 rows
2 columns

CREATE TABLE player_bio (
  "index" BIGINT,
  "season_player_team_dob_height_cm_position" VARCHAR  -- Season|\"player\"|\"team\"|\"dob\"|\"height.cm\"|\"position\"
);

Season Teams

@kaggle.thedevastator_hero_indian_super_league_dataset_analysis.season_teams

3.18 kB
34 rows
2 columns

CREATE TABLE season_teams (
  "index" BIGINT,
  "season_team_name_playoff_team_code" VARCHAR  -- Season|\"Team Name\"|\"Playoff\"|\"Team Code\"
);

Teams Manager History

@kaggle.thedevastator_hero_indian_super_league_dataset_analysis.teams_manager_history

4.13 kB
33 rows
2 columns

CREATE TABLE teams_manager_history (
  "index" BIGINT,
  "team_period_manager_country_born" VARCHAR  -- Team|\"Period\"|\"Manager\"|\"Country\"|\"Born\"
);

Teams Profile

@kaggle.thedevastator_hero_indian_super_league_dataset_analysis.teams_profile

4.14 kB
10 rows
2 columns

CREATE TABLE teams_profile (
  "index" BIGINT,
  "country_founded_full_name_homepage_nickname_stadium_te_da4169aa" VARCHAR  -- Country|\"Founded\"|\"Full Name\"|\"Homepage\"|\"Nickname\"|\"Stadium\"|\"Team\"|\"Stadium Capacity\"|\"Team Code\"
);