Baselight

Dota2 Games Results

Dota 2 is a popular computer game with two teams of 5 players

@kaggle.joebeachcapital_dota2_games_results

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About this Dataset

Dota2 Games Results

Dota 2 is a popular computer game with two teams of 5 players. At the start of the game each player chooses a unique hero with different strengths and weaknesses. The dataset is reasonably sparse as only 10 of 113 possible heroes are chosen in a given game. All games were played in a space of 2 hours on the 13th of August, 2016

The data was collected using: https://gist.github.com/da-steve101/1a7ae319448db431715bd75391a66e1b

Attribute Information

Each row of the dataset is a single game with the following features (in the order in the vector):

  1. Team won the game (1 or -1)
  2. Cluster ID (related to location)
  3. Game mode (eg All Pick)
  4. Game type (eg. Ranked)
    • end: Each element is an indicator for a hero. Value of 1 indicates that a player from team '1' played as that hero and '-1' for the other team. Hero can be selected by only one player each game. This means that each row has five '1' and five '-1' values.

The hero to id mapping can be found here: https://github.com/kronusme/dota2-api/blob/master/data/heroes.json

Tables

Dota2test

@kaggle.joebeachcapital_dota2_games_results.dota2test
  • 270.22 kB
  • 10,293 rows
  • 117 columns
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CREATE TABLE dota2test (
  "n__1" BIGINT  -- -1,
  "n_223" BIGINT  -- 223,
  "n_8" BIGINT  -- 8,
  "n_2" BIGINT  -- 2,
  "n_0" BIGINT  -- 0,
  "n__1_1" BIGINT  -- -1.1,
  "n_0_1" BIGINT  -- 0.1,
  "n_0_2" BIGINT  -- 0.2,
  "n_0_3" BIGINT  -- 0.3,
  "n_0_4" BIGINT  -- 0.4,
  "n_0_5" BIGINT  -- 0.5,
  "n_0_6" BIGINT  -- 0.6,
  "n_1" BIGINT  -- 1,
  "n_0_7" BIGINT  -- 0.7,
  "n_0_8" BIGINT  -- 0.8,
  "n_0_9" BIGINT  -- 0.9,
  "n_0_10" BIGINT  -- 0.10,
  "n_0_11" BIGINT  -- 0.11,
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  "n_1_1" BIGINT  -- 1.1,
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  "n_1_2" BIGINT  -- 1.2,
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  "n__1_2" BIGINT  -- -1.2,
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  "n_1_3" BIGINT  -- 1.3,
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  "n_0_51" BIGINT  -- 0.51,
  "n__1_3" BIGINT  -- -1.3,
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  "n_0_55" BIGINT  -- 0.55,
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  "n_0_58" BIGINT  -- 0.58,
  "n__1_4" BIGINT  -- -1.4,
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  "n_0_60" BIGINT  -- 0.60,
  "n_0_61" BIGINT  -- 0.61,
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  "n_1_4" BIGINT  -- 1.4,
  "n_0_63" BIGINT  -- 0.63,
  "n_0_64" BIGINT  -- 0.64,
  "n_0_65" BIGINT  -- 0.65,
  "n_0_66" BIGINT  -- 0.66,
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  "n_0_70" BIGINT  -- 0.70,
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  "n_0_73" BIGINT  -- 0.73,
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  "n_0_80" BIGINT  -- 0.80,
  "n_0_81" BIGINT  -- 0.81,
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  "n_0_84" BIGINT  -- 0.84,
  "n_0_85" BIGINT  -- 0.85,
  "n_0_86" BIGINT  -- 0.86
);

Dota2train

@kaggle.joebeachcapital_dota2_games_results.dota2train
  • 1.67 MB
  • 92,649 rows
  • 117 columns
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CREATE TABLE dota2train (
  "n__1" BIGINT  -- -1,
  "n_223" BIGINT  -- 223,
  "n_2" BIGINT  -- 2,
  "n_2_1" BIGINT  -- 2.1,
  "n_0" BIGINT  -- 0,
  "n_0_1" BIGINT  -- 0.1,
  "n_0_2" BIGINT  -- 0.2,
  "n_0_3" BIGINT  -- 0.3,
  "n_0_4" BIGINT  -- 0.4,
  "n_0_5" BIGINT  -- 0.5,
  "n_0_6" BIGINT  -- 0.6,
  "n_0_7" BIGINT  -- 0.7,
  "n_0_8" BIGINT  -- 0.8,
  "n_1" BIGINT  -- 1,
  "n_0_9" BIGINT  -- 0.9,
  "n_0_10" BIGINT  -- 0.10,
  "n_0_11" BIGINT  -- 0.11,
  "n_1_1" BIGINT  -- 1.1,
  "n_0_12" BIGINT  -- 0.12,
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  "n_0_14" BIGINT  -- 0.14,
  "n__1_1" BIGINT  -- -1.1,
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  "n_0_17" BIGINT  -- 0.17,
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  "n_1_3" BIGINT  -- 1.3,
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  "n_0_23" BIGINT  -- 0.23,
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  "n_1_4" BIGINT  -- 1.4,
  "n_0_25" BIGINT  -- 0.25,
  "n_0_26" BIGINT  -- 0.26,
  "n_0_27" BIGINT  -- 0.27,
  "n_0_28" BIGINT  -- 0.28,
  "n_0_29" BIGINT  -- 0.29,
  "n__1_3" BIGINT  -- -1.3,
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  "n_0_39" BIGINT  -- 0.39,
  "n_0_40" BIGINT  -- 0.40,
  "n_0_41" BIGINT  -- 0.41,
  "n_0_42" BIGINT  -- 0.42,
  "n_0_43" BIGINT  -- 0.43,
  "n_0_44" BIGINT  -- 0.44,
  "n_0_45" BIGINT  -- 0.45,
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  "n_0_50" BIGINT  -- 0.50,
  "n_0_51" BIGINT  -- 0.51,
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);

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