执教俱乐部前1000场场均积分前10：瓜迪奥拉第1，穆里尼奥第2（俱乐部执教前1000场场均积分TOP10：瓜迪奥拉居首，穆里尼奥次席）

Calculating PPG Context

I need to confirm we can fetch online data unless restricted. For now, I'll provide a concise answer about how PPG is computed. It’s important to note the context, especially regarding leagues and the three-point era impact, particularly before 1995.

I have approximate values: Guardiola around 2.34, Mourinho about 2.19, and Conte close to 2.12. However, Conte's PPG may be lower with clubs like Spurs. Ancelotti is around 2.04, while Wenger and Benitez hover around 1.91 and 1.93, respectively. Should I ask for a source to better clarify this?Clarifying Next Steps

The instruction suggests that I should ask questions to avoid misinformation when necessary. Here are some next steps I can propose: I could fetch data from Opta or Transfermarkt to compute the PPG by league. Alternatively, if the user wants a trending headline from Weibo, I can summarize the top ten into a micro-article with appropriate caveats.

I should confirm if they want exact PPG data or require methodology explanations while keeping it concise, possibly in Chinese. Do they want league matches only or all competitions?Keeping It Concise

The instruction emphasizes being very concise, so I need to keep my response short. I can offer two optional deliverables: 1) data verification with a ranking chart (PNG), and 2) a reusable script for scraping or calculating PPG.

Since I’m capable of writing a script if we have network access, I should ask, "Do you want me to fetch data from Opta or Transfermarkt to generate the top 10 rankings and visualization?" Now, let's craft a concise reply in Chinese.