Baselight

ESports Earnings

Money earned by Players & Teams from eSports Tournaments

@kaggle.jackdaoud_esports_earnings_for_players_teams_by_game

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About this Dataset

ESports Earnings

Context

This is scraped data from eSportsEarning.com that provides information on earnings 💰 of eSports players and teams.

Content

Three CSV files:

  1. highest_earning_players.csv
  2. highest_earning_teams.csv
  3. country-and-continent-codes-list.csv

The data from CSV files (1) & (2) includes these games:

  1. Dota 2
  2. Counter-Strike: Global Offensive
  3. Fortnite
  4. League of Legends
  5. Starcraft II
  6. Overwatch
  7. PUBG
  8. Hearthstone
  9. Heroes of the Storm
  10. Arena of Valor

Acknowledgements

This dataset was inspired from Ran Kirshenboim's original data set - Esports Earnings 1998 - 2020. Thank you Ran, I used your data set (along with other data) to produce this Tableau story on eSports.

Inspiration

Please see the Exploratory Data Analysis task for inspiration on how to use this data set.

Tables

Country And Continent Codes List

@kaggle.jackdaoud_esports_earnings_for_players_teams_by_game.country_and_continent_codes_list
  • 13.02 KB
  • 262 rows
  • 6 columns
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CREATE TABLE country_and_continent_codes_list (
  "continent_name" VARCHAR,
  "continent_code" VARCHAR,
  "country_name" VARCHAR,
  "two_letter_country_code" VARCHAR,
  "three_letter_country_code" VARCHAR,
  "country_number" DOUBLE
);

Highest Earning Players

@kaggle.jackdaoud_esports_earnings_for_players_teams_by_game.highest_earning_players
  • 41.62 KB
  • 1000 rows
  • 8 columns
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CREATE TABLE highest_earning_players (
  "playerid" BIGINT,
  "namefirst" VARCHAR,
  "namelast" VARCHAR,
  "currenthandle" VARCHAR,
  "countrycode" VARCHAR,
  "totalusdprize" DOUBLE,
  "game" VARCHAR,
  "genre" VARCHAR
);

Highest Earning Teams

@kaggle.jackdaoud_esports_earnings_for_players_teams_by_game.highest_earning_teams
  • 22.48 KB
  • 928 rows
  • 6 columns
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CREATE TABLE highest_earning_teams (
  "teamid" BIGINT,
  "teamname" VARCHAR,
  "totalusdprize" DOUBLE,
  "totaltournaments" BIGINT,
  "game" VARCHAR,
  "genre" VARCHAR
);

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