足球联赛赛季关键球员表现排行榜（本赛季足球联赛关键球员表现榜单）

Requesting clarity on football performance

I need to respond to the user who asked about the [[NEWS.CONTENT_HTML]]quot;Key player performance leaderboard for the football league season[[NEWS.CONTENT_HTML]]quot; in Chinese. It’s a bit ambiguous, so I should ask for clarification on which league and season they mean. They might also be asking for code or a formatted article instead of just a list. Since the guidelines suggest not asking too many questions, I could propose options and provide a template for the leaderboard, including various metrics like goals and assists.Formulating a response plan

Since I don't have access to real data, I can create a template and script if the user provides a CSV. First, I need to confirm the league (like EPL, La Liga) and season (2023-24). It’s risky to fabricate a generic example with made-up stats, so I should offer a Google Sheet template instead. I could also provide a Python script that calculates the [[NEWS.CONTENT_HTML]]quot;clutch index.[[NEWS.CONTENT_HTML]]quot; For options, I can suggest producing a narrative list if they specify the league and season, or I can process their provided data if they share a CSV file.Creating a script skeleton

话我给出放 \n

I need to provide a small script skeleton that reads CSV fields like goals, assists, minutes, xG, xA, and several others. I should include definitions for the relevant formulas. Once I outline this, I’ll ask the user to upload their data. Following the CLI formatting guidelines, I can present small code blocks to make it clear and easy to follow. This way, the user can understand how to use the script effectively!Proposing a scoring formula

I’m thinking about a scoring formula for player performance. For offense, I’ll weigh metrics like goals, assists, and expected goals with specific values. Then, I want to include factors for possession, defense, and clutch impacts. Each area will have its own weight. I'll also set a normalization rule, ensuring players have more than 900 minutes to qualify and using Z-scores to avoid bias. Finally, I’ll produce a generator script based on this formula to help compute the scores!Crafting a response in Chinese

I’m preparing a Python script that reads CSV data containing player statistics like goals, assists, and tackles. Some users might not have all data, so I can compute partial metrics. I want to provide a concise response in Chinese, asking for details on the league, season, and data source. I'll outline possibilities for the output format, whether a table, report, or leaderboard image.

I’ll also offer to create a scoring formula and a minimal Python snippet, keeping everything straightforward and useful!

想做哪一个联赛与赛季的“关键球员表现排行榜”？我可以按你指定的数据源与口味产出榜单（表格+短评），也可以给你一套可复用的打分脚本。先确认这几件事：

联赛与赛季：如英超 2024-25、五大联赛合并、或中超本赛季
覆盖范围与门槛：前10/前20？最少出场分钟（如 ≥900 分钟）？是否剔除点球
输出形式：纯榜单表格、每人一句短评、或可分享的长图
数据来源：你有 CSV/Excel 吗（FBref/Opta/俱乐部统计）？还是需要我按你授权的来源处理

如果你已有球员赛季数据（CSV），我可以用下面这套“关键影响力评分”来生成榜单，保证可解释、可复现：

表示例 \n

进攻贡献（每90）：非点球进球、助攻、xG、xA、关键传球、G−xG 与 A−xA（超预期）
推进与创造（每90）：推进传球+推进带球、禁区内传球/传中
防守压迫（每90）：铲断+拦截、成功压迫（对前场球员尤重）
关键时刻：60分钟后扳平/反超进球与助攻
场上影响：净xG/90（在场时本队xG−对手xG）
处理方式：按位置组（FWD/MID/DEF）做z分数，设权重求和，并MinMax映射到0–100；守门员另表

示例权重（可按你偏好调整）：

非点球进球/90: 4.0；助攻/90: 3.0；xG/90: 2.0；xA/90: 1.5；关键传球/90: 1.2
(G−xG + A−xA)/90: 1.0；推进传+带/90: 0.6；禁区内传球/90: 0.8
铲断+拦截/90: 0.7；成功压迫/90: 0.4
关键时刻贡献/90: 2.5；净xG/90: 1.5

如果你要立刻跑分，请把数据整理成CSV，包含至少这些列：

player, team, position, minutes, goals, pens, assists, xg, xa, key_passes, prog_passes, prog_carries, passes_pa, tackles, interceptions, pressures_won, late_goals_eq, late_goals_gh, net_xg_on (或提供 on_xg_for 与 on_xg_against)

我可以用这些列生成“关键球员表现榜 Top N”，并附每名球员的分项雷达/条形拆解与一句话短评。

告诉我：