Analyzing football metrics
I'm thinking about how to provide a concise, data-driven response that references league and UEFA statistics, like goals per 90 minutes and xG percentage. I should also consider metrics like goal involvement share and usage rate. It’s wise to define the term "依赖" using these metrics. However, I must be careful about factual accuracy since my knowledge cutoff is in October 2024. If I can't provide exact numbers, I can propose how to measure or use approximate or hypothetical metrics. Transparency is key here!Exploring Real Madrid's attacking strategy

I can outline a methodology for understanding Real Madrid's attack under Ancelotti, focusing on their multi-source strategy involving players like Vinícius, Rodrygo, and Bellingham, alongside Mbappé now. Historically, teams with a star forward rely on a shared goal distribution. To test the claim of "依赖," I can look at on/off metrics like points per game with and without Mbappé, xG metrics, and goal share. I should also consider thresholds for identifying reliance, but scraping for current stats might not be the best approach!Structuring the analysis
I’m planning to provide a structured answer. First, I'll define "依赖" as high concentration and fragility. Next, I'll summarize typical data for Mbappé at PSG compared to his current situation at Real Madrid. Early in the season, his goal share is high, around 35-45%, while teammates like Vini and Bellingham contribute as well. If his xGChain percentage and shot share are over 35%, and non-Mbappé xG/90 drops by more than 25% when he's off, that indicates reliance. Without real numbers, I'll suggest stating, "根据公开赛后统计,大致范围," but avoid making definitive claims. Finally, I’ll provide actionable ways to analyze the data if the user has a dataset available.Crafting a balanced response
The user’s request for "数据告诉你答案" suggests they seek an article-like conclusion on whether Real Madrid relies on Mbappé. I can provide a balanced answer: the team performs better with him, but they’re not solely dependent on him. With players like Vinícius and Bellingham, they have a dual-core structure. While Mbappé's presence increases finishing ability, their chance creation is still diversified.
I could present a quick scoreboard with five metrics to evaluate reliance. The conclusion could state it's a moderate reliance on finishing but for creation, they aren’t dependent on him. I need to be cautious about using specific numbers, so I should clarify trends without guessing too much. I'll aim for clarity and conciseness!Evaluating reliance on Mbappé

I think I should ask if the user wants me to fetch exact current numbers from Opta or FBref if the network is available. At the end, I can pose a question: "Would you like me to grab the latest panel from Opta/FBref to provide specific values and charts?"
Now, for the final structured response in Chinese regarding whether Real Madrid relies on Mbappé, I’ll outline definitions, metrics, trends, and a conclusion. I’ll keep it concise and suggest that if they have data available, I can provide a simple Python snippet for analysis. This approach should be both informative and user-friendly!
结论先说:目前皇马对姆巴佩存在“终结端的有限依赖”,但不是“单核依赖”。他显著抬高球队上限(进球效率、转换威胁、牵制空间),而创造与控场并未高度集中在他一人身上——Vinícius 的推进/制造、Bellingham 的二线插上、边后卫与中场的传控结构,让进攻有多条路径。
怎么用数据判断“是否依赖”(给出清晰、可复现的判据)
基于公开赛后数据面板的常见“形状”(定性结论,避免硬编数值)
一句话结论
如果你想要硬数字与图表
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