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首页 / 近10年欧冠门将零封率:拉亚54%第1,布冯47%第2,奥纳纳上榜(过去十年欧冠门将零封率榜:拉亚54%居首,布冯47%次席,奥纳纳入围)

近10年欧冠门将零封率:拉亚54%第1,布冯47%第2,奥纳纳上榜(过去十年欧冠门将零封率榜:拉亚54%居首,布冯47%次席,奥纳纳入围)

路径
news/2026-02-16-news-57406
更新时间
2026-02-16

with

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

![thatR](/assets/images/7B8D7335.jpeg)

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:

  • “零封率”通常=零封场次/出场场次(仅算欧冠正赛);需要设最低出场门槛(如≥10或≥20场)避免小样本失真。
  • “近10年”可以有两种划法:按自然年回溯10年,或按赛季回溯10个赛季(常用14/15→23/24)。
  • 俱乐部与赛段要统一:只算欧冠,不含欧联/资格赛;外租/转会跨队的门将要合并统计。
  • 拉亚在欧冠出场样本较小,54%可能受小样本放大;布冯样本大但晚年赛季也在窗口内;奥纳纳22/23赛季零封很多,确实容易上榜。

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. ![eyw](/assets/images/7690B5A4.jpeg)
  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。