Mobile Legends: Bang Bang

Mlbb is an MOBA game available to play on both Android and IOS. This is my first dataset on Kaggle and want to work with domain I am familiar with.

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The Dataset contains all the information about the heroes used in MPL ID Season 10.

Mobile legends: Bang Bang is huge in Indonesia and philippines. In fact it is so huge that the professional players playing in the MPL Indonesia have a six figure annual salary.

Column Description:

There were a total of 172 games played in MPL ID Season 10

Total_games = 172

Hero: Name of the Hero.
Hero_picked: Total number of times the hero was picked.
T_wins: Total number of matches won with that hero.
T_lose: Total number of matches lost with that hero.
T_winrate: (T_wins / Total_games )
T_pickpercentage: (Hero_picked / Total_games)
Bs_picked: Number of times the hero picked by blue side.
Bs_won: Number of times the blue side won with the hero.
Bs_lost: Number of times the blue side lost with the hero.
Bs_winrate: (Bs_won / Bs_picked)
Rs_picked: Number of times the hero picked by Red side.
Rs_won: Number of times the Red side won with the hero.
Rs_lost: Number of times the Red side lost with the hero.
Rs_winrate: (Rs_won / Rs_picked)
Hero_banned: Number of times the hero was banned.
Ban_percentage: (Hero_banned / Total_games)
Pick&Ban: Number of times the hero was either picked or banned.
Pick&Ban percentage: (Pick&Ban / Total_games)

Tables

Mpl Id S10

@kaggle.kishan9044_mpl_id_season10.mpl_id_s10

16.73 KB
78 rows
18 columns


CREATE TABLE mpl_id_s10 (
  "hero" VARCHAR,
  "hero_picked" BIGINT,
  "t_wins" BIGINT,
  "t_lose" BIGINT,
  "t_winrate" VARCHAR,
  "t_pickpercentage" VARCHAR,
  "bs_picked" BIGINT,
  "bs_won" BIGINT,
  "bs_lost" BIGINT,
  "bs_winrate" VARCHAR,
  "rs_picked" BIGINT,
  "rs_won" BIGINT,
  "rs_lost" BIGINT,
  "rs_winrate" VARCHAR,
  "hero_banned" BIGINT,
  "ban_percentage" VARCHAR,
  "pick_ban" BIGINT,
  "pick_ban_percentage" VARCHAR
);