Name: Indian Super League Statistics 2014-2023
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Indian Super League Statistics 2014-2023

Indian Super League Statistics (2014-2023) - Season-wise and All-time Combined

This dataset presents detailed statistics from the Indian Super League (ISL) spanning the years 2014 to 2023. It encompasses both individual season-wise data and all-time combined statistics, providing valuable insights into the performance of football clubs that have participated in the Indian Super League.

The dataset offers a wealth of information, including the number of matches played, wins, losses, draws, goals scored for and against, points gained, and goal difference for each club across multiple seasons. It provides a comprehensive overview of the teams' performances throughout the league's history, shedding light on their strengths, weaknesses, and overall competitiveness.

It's important to note that the dataset focuses solely on the league stage matches and does not include data from the knockout stage matches. This ensures a more accurate analysis of the clubs' performance during the regular season, where they compete for points and standings.

Researchers, analysts, and football enthusiasts will find this file invaluable for studying and comparing the performances of different clubs over the years. It enables detailed statistical analysis, identification of trends, and the assessment of various metrics that play a crucial role in team performance evaluation.

Whether you're exploring individual seasons or examining the all-time combined statistics, this dataset provides a comprehensive and reliable resource for gaining a deeper understanding of the Indian Super League and the clubs that have shaped its history.

Tables

All Time Combined

@kaggle.surajsuresh29_indian_super_league_statistics_2014_2023.all_time_combined

6.91 kB
14 rows
9 columns

CREATE TABLE all_time_combined (
  "squad" VARCHAR,
  "mp" BIGINT,
  "w" BIGINT,
  "d" BIGINT,
  "l" BIGINT,
  "gf" BIGINT,
  "ga" BIGINT,
  "gd" BIGINT,
  "pts" BIGINT
);

N 2014

@kaggle.surajsuresh29_indian_super_league_statistics_2014_2023.n_2014

6.53 kB
8 rows
9 columns

CREATE TABLE n_2014 (
  "squad" VARCHAR,
  "mp" BIGINT,
  "w" BIGINT,
  "d" BIGINT,
  "l" BIGINT,
  "gf" BIGINT,
  "ga" BIGINT,
  "gd" BIGINT,
  "pts" BIGINT
);

N 2015

@kaggle.surajsuresh29_indian_super_league_statistics_2014_2023.n_2015

6.54 kB
8 rows
9 columns

CREATE TABLE n_2015 (
  "squad" VARCHAR,
  "mp" BIGINT,
  "w" BIGINT,
  "d" BIGINT,
  "l" BIGINT,
  "gf" BIGINT,
  "ga" BIGINT,
  "gd" BIGINT,
  "pts" BIGINT
);

N 2016

@kaggle.surajsuresh29_indian_super_league_statistics_2014_2023.n_2016

6.56 kB
8 rows
9 columns

CREATE TABLE n_2016 (
  "squad" VARCHAR,
  "mp" BIGINT,
  "w" BIGINT,
  "d" BIGINT,
  "l" BIGINT,
  "gf" BIGINT,
  "ga" BIGINT,
  "gd" BIGINT,
  "pts" BIGINT
);

N 2017–2018

@kaggle.surajsuresh29_indian_super_league_statistics_2014_2023.n_2017_2018

6.67 kB
10 rows
9 columns

CREATE TABLE n_2017_2018 (
  "squad" VARCHAR,
  "mp" BIGINT,
  "w" BIGINT,
  "d" BIGINT,
  "l" BIGINT,
  "gf" BIGINT,
  "ga" BIGINT,
  "gd" BIGINT,
  "pts" BIGINT
);

N 2018–2019

@kaggle.surajsuresh29_indian_super_league_statistics_2014_2023.n_2018_2019

6.64 kB
10 rows
9 columns

CREATE TABLE n_2018_2019 (
  "squad" VARCHAR,
  "mp" BIGINT,
  "w" BIGINT,
  "d" BIGINT,
  "l" BIGINT,
  "gf" BIGINT,
  "ga" BIGINT,
  "gd" BIGINT,
  "pts" BIGINT
);

N 2019–2020

@kaggle.surajsuresh29_indian_super_league_statistics_2014_2023.n_2019_2020

6.67 kB
10 rows
9 columns

CREATE TABLE n_2019_2020 (
  "squad" VARCHAR,
  "mp" BIGINT,
  "w" BIGINT,
  "d" BIGINT,
  "l" BIGINT,
  "gf" BIGINT,
  "ga" BIGINT,
  "gd" BIGINT,
  "pts" BIGINT
);

N 2020–2021

@kaggle.surajsuresh29_indian_super_league_statistics_2014_2023.n_2020_2021

6.69 kB
11 rows
9 columns

CREATE TABLE n_2020_2021 (
  "squad" VARCHAR,
  "mp" BIGINT,
  "w" BIGINT,
  "d" BIGINT,
  "l" BIGINT,
  "gf" BIGINT,
  "ga" BIGINT,
  "gd" BIGINT,
  "pts" BIGINT
);

N 2021–2022

@kaggle.surajsuresh29_indian_super_league_statistics_2014_2023.n_2021_2022

6.7 kB
11 rows
9 columns

CREATE TABLE n_2021_2022 (
  "squad" VARCHAR,
  "mp" BIGINT,
  "w" BIGINT,
  "d" BIGINT,
  "l" BIGINT,
  "gf" BIGINT,
  "ga" BIGINT,
  "gd" BIGINT,
  "pts" BIGINT
);

N 2022–2023

@kaggle.surajsuresh29_indian_super_league_statistics_2014_2023.n_2022_2023

6.7 kB
11 rows
9 columns

CREATE TABLE n_2022_2023 (
  "squad" VARCHAR,
  "mp" BIGINT,
  "w" BIGINT,
  "d" BIGINT,
  "l" BIGINT,
  "gf" BIGINT,
  "ga" BIGINT,
  "gd" BIGINT,
  "pts" BIGINT
);