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.

If you are interested in E-Sports data. I would Recommend you to check out https://liquipedia.net/

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)