Evaluating player data
I can ask what specifically the user wants, like if they need data comparison, tactical analysis, or key improvement highlights. We'll need certain statistics, like goals and assists per 90 minutes, shot-creating actions, and more. The player we're discussing is Rafael Leão from AC Milan, who joined for the 2019-20 season. Seven seasons will last until 2025-26. Currently, the user claims this season is his best, but I can't verify that. I could offer to pull the latest stats if the user permits me.Analyzing player performance
The harness indicates that if I’m unsure about network sandboxing, I should assume it's enabled, but it’s wise to ask when needed. I can analyze without exact numbers by highlighting signs of improved performance, such as decision-making, final passes, and defensive work rate. I might mention Leão's synergy with teammates like Pulisic and Loftus-Cheek, which creates space. It’s crucial to be cautious regarding seasons' cutoff points. We can discuss known strengths and areas for improvement, like decision-making speed and using his weak foot, even if he doesn’t take many set pieces.Crafting performance analysis

I can propose metrics for comparison, focus on what to look for in videos, and explore reasons for tactical changes, like the coaching shift to Paulo Fonseca in June 2024. Under Fonseca, AC Milan might use a 4-2-3-1 or 4-3-3 formation, potentially optimizing Leão’s play by allowing him more central touches. I can present concise bullet points about what the "best season" means, how to verify it, and discuss improved tactics. I should also ask if the user wants fresh stats, highlight reel timecodes, or a tweet-length summary!
看点和验证思路给你先梳好,咱们再决定要不要拉实时数据做对比。
可能为何被评为“最佳赛季”
战术层面可能的助推
怎么客观验证(建议做的几项对比)
参考基线
需要我做什么

回复数字即可。若选1,我会抓取权威数据源并给出图表与结论摘要。
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