IPL2020 Players Dataset

predict perfect11 using EDA and ML

@kaggle.daredevil2404_ipl2020_players_dataset

Table List

3 tables(48.31 KB)

Allrounders

Batsmen

Bowlers

Bowlers

@kaggle.daredevil2404_ipl2020_players_dataset.bowlers

14.14 KB
64 rows
15 columns

team Team	name_of_player Name Of Player	country Country	style Style	bowling_variation Bowling Variation	matches Matches	inning_bowled Inning Bowled	balls_bowld Balls Bowld	runs_conceded Runs Conceded	wickets Wickets	bbm BBM	eco Eco	bowl_avg Bowl Avg	ball_sr Ball SR
CSK	Imran Tahir	South Africa	Right-Arm Bowler	LegSpinner	55	55	1226	1611	79	12/5	7.88	20.39	15.52
CSK	Lungi Ngidi	South Africa	Right-Arm Bowler	Fast	7	7	156	156	11	4/10	6	14.18	14.18
CSK	Deepak Chahar	India	Right-Arm Bowler	Medium	34	34	688	875	33	3/15	7.63	26.52	20.85
CSK	KM Asif	India	Right-Arm Bowler	Medium	2	2	36	75	3	2/43	12.5	25	12
CSK	Shardul thakur	India	Right-Arm Bowler	Medium	36	35	707	1065	36	3/19	9.04	29.58	19.64
CSK	Karn Sharma	India	Right-Arm Bowler	LegSpinner	63	61	1108	1445	54	4/16	7.82	26.76	20.52
CSK	Josh Hazlewood	Australia	Right-Arm Bowler	Fast-Medium						0
DC	Kagiso Rabada	South Africa	Right-Arm Bowler	Fast	18	18	410	556	31	4/21	8.14	17.94	13.23
DC	Anrich Nortje	South Africa	Right-Arm Bowler	Fast						0
DC	Sandeep Lamichhane	Nepal	Right-Arm Bowler	LegSpinner	9	9	210	292	13	3/36	8.34	22.46	16.15


CREATE TABLE bowlers (
  "team" VARCHAR,
  "name_of_player" VARCHAR,
  "country" VARCHAR,
  "style" VARCHAR,
  "bowling_variation" VARCHAR,
  "matches" BIGINT,
  "inning_bowled" BIGINT,
  "balls_bowld" BIGINT,
  "runs_conceded" BIGINT,
  "wickets" BIGINT,
  "bbm" VARCHAR,
  "eco" DOUBLE,
  "bowl_avg" DOUBLE,
  "ball_sr" DOUBLE,
  "n_5w" BIGINT
);