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MLC 2024 Ball By Ball Dataset

deliveries.csv from MLC 2023

@kaggle.sahiltailor_mlc_2023_ball_by_ball_dataset

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About this Dataset

MLC 2024 Ball By Ball Dataset

UPVOTE is appreciation!

MLC 2024 Dataset

Any Queries or requirements, Please feel free to share them with me!!

Author - Sahil Tailor

Columns:

  • match_id (Primary Key Combining Season and Match_no)
  • season (Year)
  • phase (Group Stage, Playoffs)
  • match_no (Match No. in a season)
  • date (Match Date)
  • venue (Stadium name and Location)
  • batting_team (Team Name)
  • bowling_team (Team Name)
  • innings (1,2)
  • over (0.1 to 19.6)
  • striker (Player Name)
  • bowler (Player Name)
  • runs_of_bat (Runs scored by Striker)
  • extras (Runs in Extras)
  • wide (1,0)
  • legbyes (1,0)
  • byes (1,0)
  • noballs (1,0)
  • wicket_type ('Caught', 'Stumped', 'Bowled', 'Run out', 'LBW', 'Retired out', 'Retired hurt')
  • player_dismissed (Player Name)
  • fielder (Player Name)

Tables

Mlc 2023 Deliveries

@kaggle.sahiltailor_mlc_2023_ball_by_ball_dataset.mlc_2023_deliveries
  • 32.69 kB
  • 4,494 rows
  • 21 columns
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CREATE TABLE mlc_2023_deliveries (
  "match_id" BIGINT,
  "season" BIGINT,
  "phase" VARCHAR,
  "match_no" BIGINT,
  "date" TIMESTAMP,
  "venue" VARCHAR,
  "batting_team" VARCHAR,
  "bowling_team" VARCHAR,
  "innings" BIGINT,
  "over" DOUBLE,
  "striker" VARCHAR,
  "bowler" VARCHAR,
  "runs_of_bat" BIGINT,
  "extras" BIGINT,
  "wide" BIGINT,
  "legbyes" BIGINT,
  "byes" BIGINT,
  "noballs" BIGINT,
  "wicket_type" VARCHAR,
  "player_dismissed" VARCHAR,
  "fielder" VARCHAR
);

Mlc 2024 Deliveries

@kaggle.sahiltailor_mlc_2023_ball_by_ball_dataset.mlc_2024_deliveries
  • 35.24 kB
  • 5,169 rows
  • 21 columns
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CREATE TABLE mlc_2024_deliveries (
  "match_id" BIGINT,
  "season" BIGINT,
  "phase" VARCHAR,
  "match_no" BIGINT,
  "date" TIMESTAMP,
  "venue" VARCHAR,
  "batting_team" VARCHAR,
  "bowling_team" VARCHAR,
  "innings" BIGINT,
  "over" DOUBLE,
  "striker" VARCHAR,
  "bowler" VARCHAR,
  "runs_of_bat" BIGINT,
  "extras" BIGINT,
  "wide" BIGINT,
  "legbyes" BIGINT,
  "byes" BIGINT,
  "noballs" BIGINT,
  "wicket_type" VARCHAR,
  "player_dismissed" VARCHAR,
  "fielder" VARCHAR
);

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