2223

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

![mbers](/assets/images/B92091B4.png)

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?

几点口径和注意事项先说明:

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. ![要设最](/assets/images/24335014.jpg)
  4. 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。