足球联赛关键球员数据统计（足球联赛核心球员数据分析）

Proposing calculation template

I’m thinking we could suggest a Python/pandas template for calculating key player metrics like contributions per 90 minutes, usage rates, and ranking. We could offer to process a CSV file if the user has one, as they might want to compute from their league dataset. I should ask about their data files, specifically their league, season, metrics needed, output format, and how often they want updates. It’d be good to propose what columns are necessary for the analysis, like player stats and various metrics.Proposing calculation formulas

I’m considering providing calculation formulas for metrics per 90 minutes, like goal contributions, non-penalty stats, usage rates, and team contribution percentages. We could offer a user-friendly Python notebook or script that takes FBref CSV exports and computes summaries. Including a code snippet would be helpful since the user might not have explicitly requested it. While we could suggest fetching data if they provide a league and season, it’s important to encourage them to use CSV exports or public APIs instead. It’s safer than scraping content directly from FBref.Proposing analysis routes

I’m thinking of proposing two approaches to the user. First, if they have raw match or player event data in CSV or JSON, I can compute rankings based on that. Second, if they want me to fetch public data, I can script a download from sources like FBref or Understat, but I will need their permission and league-season details. I also want to clarify what "关键球员" means—is it referring to a threshold?

Then, I can suggest metrics weighted by position for various player roles, including specific stats for attackers, midfielders, defenders, and goalkeepers. We might also recommend a minimum threshold of 900 minutes played and propose outputting the top 20 players per metric, along with an "impact index."Preparing implementation request

I want to create a clear request along with a minimal code skeleton for computing data from FBref exports. The code should read various CSVs: 'standard', 'shooting', 'passing', 'defense', 'possession', and 'gk', merging data on player-team and computing metrics per 90 minutes while restricting minutes to be greater than or equal to 900. I should also calculate a composite impact by position.

I'll include concise comments in the code and format it properly. While I can hold off on saving files until necessary, I want to ask for clarification and share plan options. It’s essential to gather more details from the user first.