Baselight

E-Basketball : 2K Basketball Regular Cup

Digital Dunks: Decoding the Dynamics of E-Basketball

@kaggle.dyominov_basketball

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About this Dataset

E-Basketball : 2K Basketball Regular Cup

2K Basketball Regular Cup: A Digital Hoops Odyssey

Description:

Dive into the virtual arena of the 2K Basketball Regular Cup, where pixels meet passion, and data drives every dunk. This unique dataset offers a comprehensive look into the electrifying world of e-basketball, capturing the essence of competitive gaming through the lens of one of the most beloved sports.

Features:

- _id: Unique identifier for each match, ensuring every moment of digital glory is captured distinctly.
- awayScore & homeScore: The heart-pounding final scores from the away and home teams, painting a picture of virtual victory and defeat.
- awayTeam & homeTeam: The contenders in the cyber court, where virtual athletes from diverse backgrounds clash in a display of skill and strategy.
- competition: The prestigious 2K Basketball Regular Cup, a battleground where e-athletes prove their prowess.
- date: The timeline of digital dreams, marking when each pixelated play unfolded.
- Quarterly Scores: A quarter-by-quarter breakdown, offering a granular view of the game's dynamics, from the opening tip-off to the final buzzer.

Insights:

Embark on a data-driven journey through high-stakes virtual matches, exploring the strategies that lead to e-sport supremacy. Analyze the ebb and flow of virtual games, uncover patterns in play, and predict outcomes in the rapidly evolving world of competitive e-basketball.

Whether you're a data scientist, a sports enthusiast, or an e-sports aficionado, this dataset provides a unique opportunity to explore the intersection of sports, gaming, and data analytics. Unleash your analytical skills and dive deep into the digital domain of the 2K Basketball Regular Cup, where every statistic tells a story of virtual athleticism, strategy, and the unyielding pursuit of digital excellence.

© text created ChatGPT-4

Tables

Basketball

@kaggle.dyominov_basketball.basketball
  • 1.36 MB
  • 66,443 rows
  • 16 columns
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CREATE TABLE basketball (
  "n__id" BIGINT  -- Id,
  "awayscore" BIGINT,
  "awayteam" VARCHAR,
  "competition" VARCHAR,
  "date" VARCHAR,
  "firstquarterawayscore" BIGINT,
  "firstquarterhomescore" BIGINT,
  "fourthquarterawayscore" BIGINT,
  "fourthquarterhomescore" BIGINT,
  "homescore" BIGINT,
  "hometeam" VARCHAR,
  "region" VARCHAR,
  "secondquarterawayscore" BIGINT,
  "secondquarterhomescore" BIGINT,
  "thirdquarterawayscore" BIGINT,
  "thirdquarterhomescore" BIGINT
);

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