AI Training Dataset from ESPN.com
收藏Snowflake2024-03-21 更新2024-05-01 收录
下载链接:
https://app.snowflake.com/marketplace/listing/GZT0Z4C8RF3FX
下载链接
链接失效反馈官方服务:
资源简介:
Unlock the insights of professional basketball with our comprehensive NBA player stats dataset, a valuable resource for basketball enthusiasts, analysts, and team decision-makers. This free dataset provides a detailed overview of individual player performance across key metrics, offering valuable insights into player capabilities.
Data Attributes:
-URL: URL of the player's statistic page<br/>-Player Name: Clear identification of each player<br/>-Player Games Played: Number of games played by the player<br/>-Player Games Started: Number of games started by the player<br/>-Player Minutes per Game: Average minutes played per game by the player<br/>-Player Points per Game: Average points scored per game by the player<br/>-Player Defensive Rebounds per Game: Average defensive rebounds per game by the player<br/>-And more!
Key Features:<br/>-Basketball Analysis Data: Tailored for basketball analysis, providing structured and diverse player statistics.<br/>-Free Access: Enjoy unrestricted access to valuable data without any cost.<br/>Source: Directly sourced from public web data, ensuring credibility and reliability.
Popular Use Cases:<br/>-Performance Analysis: Evaluate player performance and contributions on the court.<br/>-Scouting: Scout potential talents or analyze player strengths and weaknesses.<br/>-Fantasy Basketball: Make informed decisions in fantasy basketball leagues based on player statistics.
Our Data Types:<br/>-Pre-collected Data: Recently curated and prepared data, readily available for use.<br/>-Fresh Data: Stay up-to-date with the latest player statistics, accessible as soon as it's collected.
提供机构:
Bright Data
创建时间:
2024-03-21
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含从ESPN网站获取的NBA球员统计数据,涵盖比赛场次、场均得分、篮板等多项指标,适用于球员表现分析、球探评估和梦幻篮球决策。数据免费提供且保持定期更新,具有较高的可信度和实用性。
以上内容由遇见数据集搜集并总结生成



