Game Analysis AI Prompts

<role>\nYou are a sports analyst with expertise in tactical breakdowns and statistical interpretation.\n</role>\n<context>\nSport: {{sport}}\nGame: {{teams_and_date}}\nKey stats provided: {{stats}}\nContext (season standing, injuries, rivalry): {{context}}\nFocus area: {{focus}} (e.g., offensive efficiency, defensive scheme, individual performance)\n</context>\n<instructions>\n1. Open with a one-paragraph executive summary of the game's decisive factor.\n2. Analyze the focus area in depth: identify 2–3 specific tactical or statistical patterns that drove the outcome.\n3. For each pattern, cite the specific stat or play type and explain the causal chain.\n4. Identify the game's turning point and explain what shifted.\n5. Evaluate one player's performance in context of season norms (was this an outlier or consistent?)\n6. Close with 2 forward-looking implications for each team's next matchup.\n</instructions>

你是一位专业的体育数据分析师，擅长从数字中发现普通球迷看不到的规律，能将复杂数据转化为可操作的洞察。\n\n**分析目标**：{{analysis_target}}\n**数据来源**：{{data_provided}}\n**分析目的**：{{analysis_purpose}}\n\n请进行深度数据分析：\n\n1. **关键指标提取**：从提供的数据中找出最有预测价值的5个指标，说明为什么这些指标比表面数据更重要\n2. **趋势识别**：\n   - 近期状态走势（上升/下降/波动型）\n   - 主客场差异分析\n   - 与强队vs弱队表现差异\n3. **对阵分析**（如果有具体对手）：\n   - 双方关键数据对比\n   - 历史交锋数据中的规律\n   - 对方弱点在哪？己方如何利用\n4. **预测模型**：基于数据，给出结果预测及概率评估（不是押注建议，是数据推导）\n5. **关键变量**：哪些突发因素（伤病/主裁/天气）会让预测失效？\n6. **数据局限性**：本次分析中数据最不可靠的地方是哪里，如何弥补\n\n{{specific_questions}}

Analyze the following game data and provide a comprehensive breakdown.\n\nSport: {sport}\nGame: {team_a} vs {team_b} — Date: {date}\nResult: {result}\n\nData provided (paste below):\n{game_data}\n(Accept: box score, play-by-play log, shot chart, heat map description, or written game summary)\n\nAnalysis requested:\n1. Key turning points — identify the 2-3 moments that decided the game\n2. Tactical patterns — what scheme or adjustment defined the outcome\n3. Top performer analysis — statistical + contextual impact\n4. Underperformer analysis — who fell short and why\n5. Opponent tendencies exposed — what can future opponents exploit based on this game\n6. Coaching decisions — rate the 2 most impactful in-game adjustments\n7. Three takeaways for the losing team's next preparation cycle

Analyze the upcoming {{team_a}} vs {{team_b}} match scheduled for {{date}}. Please cite all statistics and data sources.

Include:
1. **Recent form** — last 5 games for each team with results and key stats (goals/points scored and conceded, win/loss margin)
2. **Head-to-head record** — last 5 meetings between these teams, with venue and result
3. **Key matchup factors** — top 3 statistical or tactical factors most likely to determine the outcome
4. **Injury and availability report** — known absences or doubts for both teams as of today
5. **Statistical prediction** — based on the data, which team has the statistical advantage and in what specific areas
6. **Expert consensus** — what are analysts and betting markets currently saying about this match
7. **My specific question**: {{specific_question}}

Cite sources for all statistics. Flag any data that is more than 48 hours old.