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Clarifying details for analysis

I should ask if the user wants a top 10 table, a definition with a 10-year window, and clarification on sample size threshold, matches played, and methodology for the competition seasons from 2014-2024. I should clear up what "零封率" means, which is clean sheet percentage per appearance. It might help to ask about sources or if they want a full list and methodology. I'll mention that Raya's UCL career is limited, playing for Brentford and Arsenal, with some matches.Analyzing clean sheet statistics

I'm considering Onana's notable runs at Ajax and Inter, especially his 2022-23 UCL performance. He recorded 8 clean sheets, but we probably need a minimum games threshold, like 10 matches, to assess clean sheet rates accurately. I want to clarify: do they want me to verify this and provide a complete list or address potential limitations? Without access to data, I can suggest ways to calculate using StatsBomb or Opta, or even offer to create a scraper for UEFA if they have CSV data. My response will include options in Chinese too.Crafting a helpful response

I’ve noticed that Ederson frequently has high clean sheet numbers, but considering the last 10 years includes his early career, his rate might be consistent with others. I should frame my response clearly and concisely. I’m thinking I should ask if they want me to verify and provide a complete list and methodology. I'll include key caveats in bullet points and propose a few options for moving forward without needing to call any shell commands.

你是想看这份榜单的完整数据和来源,还是要我帮你核实并按统一口径重算一版?

方式告

几点口径和注意事项先说明:

deta

我可以提供三种帮助:

  1. 我来联网核实并给出前10、数据源链接与统计口径说明(需要你允许我联网)。
  2. 你给我一份比赛级明细CSV(比赛id/赛季、门将、是否零封、是否出场),我写脚本计算零封率并输出榜单与可视化。
  3. 如果只想大致对比,我按公开可查的赛季数据给出估算区间和样本规模,标注不确定性。

选一个方式告诉我;如果走脚本方案,我给你准备CSV字段模板和可运行代码。