Name: NBA Matches Dataset W Player Stats
Creator: Kaggle
License: https://creativecommons.org/licenses/by-sa/4.0/

About this Dataset

NBA Matches Dataset W Player Stats

Context

This Dataset About NBA Matches Every Data Line include required columns to analysis this dataset.
We collect all these datas from nba official api therefore we don't put in a claim for this dataset.We just want to collect these data and share public :)

Content

Dataset Columns Similar to NBA Stats.
You can look up to Stats

Tables

All Player Stats

@kaggle.yalcinberkay_nba_matches_dataset_w_player_stats.all_player_stats

75.45 kB
1,221 rows
22 columns

CREATE TABLE all_player_stats (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "player_name" VARCHAR,
  "min" DOUBLE,
  "fgm" DOUBLE,
  "fga" DOUBLE,
  "fg_pct" DOUBLE,
  "fg3m" DOUBLE,
  "fg3a" DOUBLE,
  "fg3_pct" DOUBLE,
  "ftm" DOUBLE,
  "fta" DOUBLE,
  "ft_pct" DOUBLE,
  "oreb" DOUBLE,
  "dreb" DOUBLE,
  "reb" DOUBLE,
  "ast" DOUBLE,
  "stl" DOUBLE,
  "blk" DOUBLE,
  "to" DOUBLE,
  "pf" DOUBLE,
  "pts" DOUBLE,
  "plus_minus" DOUBLE
);

Matches W Player Stats

@kaggle.yalcinberkay_nba_matches_dataset_w_player_stats.matches_w_player_stats

3.72 MB
8,065 rows
534 columns

CREATE TABLE matches_w_player_stats (
  "n_0021100065" BIGINT  -- 0021100065,
  "lac" VARCHAR,
  "por" VARCHAR,
  "win" VARCHAR,
  "n_240" BIGINT  -- 240,
  "n_93" BIGINT  -- 93,
  "n_21" BIGINT  -- 21,
  "n_23" BIGINT  -- 23,
  "n_25" BIGINT  -- 25,
  "n_24" BIGINT  -- 24,
  "n_88" BIGINT  -- 88,
  "n_17" BIGINT  -- 17,
  "n_19" BIGINT  -- 19,
  "n_16" BIGINT  -- 16,
  "n_36" BIGINT  -- 36,
  "n_36_1" BIGINT  -- 36.1,
  "n_75" BIGINT  -- 75,
  "n_0_4800" DOUBLE  -- 0.4800,
  "n_6" BIGINT  -- 6,
  "n_24_1" BIGINT  -- 24.1,
  "n_0_2500" DOUBLE  -- 0.2500,
  "n_15" BIGINT  -- 15,
  "n_24_2" BIGINT  -- 24.2,
  "n_0_6250" DOUBLE  -- 0.6250,
  "n_8" BIGINT  -- 8,
  "n_30" BIGINT  -- 30,
  "n_38" BIGINT  -- 38,
  "n_25_1" BIGINT  -- 25.1,
  "n_11" BIGINT  -- 11,
  "n_2" BIGINT  -- 2,
  "n_21_0000" DOUBLE  -- 21.0000,
  "n_18_0000" DOUBLE  -- 18.0000,
  "n_30_0000" DOUBLE  -- 30.0000,
  "n_0_5435" DOUBLE  -- 0.5435,
  "n_0_5200" DOUBLE  -- 0.5200,
  "n_1_2400" DOUBLE  -- 1.2400,
  "n_66_2500" DOUBLE  -- 66.2500,
  "n_55_2083" DOUBLE  -- 55.2083,
  "n_95_4262" DOUBLE  -- 95.4262,
  "n_90_2957" DOUBLE  -- 90.2957,
  "n_0_4091" DOUBLE  -- 0.4091,
  "caron_butler" VARCHAR,
  "n_41" BIGINT  -- 41,
  "n_7" BIGINT  -- 7,
  "n_16_1" BIGINT  -- 16.1,
  "n_0_438" DOUBLE  -- 0.438,
  "n_2_1" BIGINT  -- 2.1,
  "n_8_1" BIGINT  -- 8.1,
  "n_0_25" DOUBLE  -- 0.25,
  "n_3" BIGINT  -- 3,
  "n_5" BIGINT  -- 5,
  "n_0_6" DOUBLE  -- 0.6,
  "n_0" BIGINT  -- 0,
  "n_5_1" BIGINT  -- 5.1,
  "n_5_2" BIGINT  -- 5.2,
  "n_2_2" BIGINT  -- 2.2,
  "n_1" BIGINT  -- 1,
  "n_0_1" BIGINT  -- 0.1,
  "n_2_3" BIGINT  -- 2.3,
  "n_2_4" BIGINT  -- 2.4,
  "n_19_1" BIGINT  -- 19.1,
  "n_7_0" DOUBLE  -- 7.0,
  "blake_griffin" VARCHAR,
  "n_37" BIGINT  -- 37,
  "n_6_1" BIGINT  -- 6.1,
  "n_11_1" BIGINT  -- 11.1,
  "n_0_545" DOUBLE  -- 0.545,
  "n_0_3" BIGINT  -- 0.3,
  "n_0_7" BIGINT  -- 0.7,
  "n_0_0" DOUBLE  -- 0.0,
  "n_8_2" BIGINT  -- 8.2,
  "n_10" BIGINT  -- 10,
  "n_0_8" DOUBLE  -- 0.8,
  "n_1_1" BIGINT  -- 1.1,
  "n_9" BIGINT  -- 9,
  "n_10_1" BIGINT  -- 10.1,
  "n_4" BIGINT  -- 4,
  "n_1_2" BIGINT  -- 1.2,
  "n_0_9" BIGINT  -- 0.9,
  "n_5_3" BIGINT  -- 5.3,
  "n_4_1" BIGINT  -- 4.1,
  "n_20" BIGINT  -- 20,
  "n_2_0" DOUBLE  -- 2.0,
  "deandre_jordan" VARCHAR,
  "n_38_1" BIGINT  -- 38.1,
  "n_4_2" BIGINT  -- 4.2,
  "n_6_2" BIGINT  -- 6.2,
  "n_0_667" DOUBLE  -- 0.667,
  "n_0_10" BIGINT  -- 0.10,
  "n_0_11" BIGINT  -- 0.11,
  "n_0_0_1" DOUBLE  -- 0.0.1,
  "n_1_3" BIGINT  -- 1.3,
  "n_4_3" BIGINT  -- 4.3,
  "n_0_25_1" DOUBLE  -- 0.25.1,
  "n_4_4" BIGINT  -- 4.4,
  "n_7_1" BIGINT  -- 7.1,
  "n_11_2" BIGINT  -- 11.2,
  "n_1_4" BIGINT  -- 1.4,
  "n_3_1" BIGINT  -- 3.1,
  "n_1_5" BIGINT  -- 1.5
);

Player List

@kaggle.yalcinberkay_nba_matches_dataset_w_player_stats.player_list

18.92 kB
1,220 rows
2 columns

CREATE TABLE player_list (
  "unnamed_0" DOUBLE  -- Unnamed: 0,
  "unnamed_1" VARCHAR  -- Unnamed: 1
);