Analyzing basketball possessions and performance
I think suggesting per 100 possessions could be more meaningful, along with considering schedule and bench factors. I should keep things concise and provide quick bullet points. It's essential not to assert external facts beyond what the user knows. Potential reasons for performance changes include bench depth, lineup adjustments, and player integration.
To verify this, I can mention sources like Basketball-Reference and Cleaning the Glass. Computing the net swing of points throughout the season is interesting!Computing basketball metrics
I can help compute on/off split metrics if the user provides the minutes. I might ask, "要不要我查最新数据？" but I shouldn't request network access by default. Instead, I'll focus on what I can deliver: a concise interpretation with limitations and suggestions.
- It's an on/off split: When he plays, the team wins by 103 points; when he doesn't, they lose by 149. That's a significant swing of 252 points!
- Stats can be influenced by sample size, opponents, and garbage time. A more steady metric is per-100 possessions.
- I can help calculate per-100 on/off efficiency if given the minutes and total team possessions. Would you like me to check for the latest data?
这就是典型的 on/off 分差：他在时全队合计赢了103分，不在时合计输了149分，赛季到目前为止的“摆动”是+252分，说明对球队影响极大。
但要小心解读：
- 总分差受样本量、对手强弱、垃圾时间和轮换搭档强烈影响
- 比“总分差”更稳健的是每100回合的净效率 on/off（Net Rating），以及分阵容搭档的表现
- 看无他但有核心持球人（如利拉德）的阵容是否仍能打正值，能定位到板凳/轮换问题
想更准确：
- 我可以帮你换算每100回合的 on/off，只需他的在场分钟数或球队回合数
- 也可以按阵容组合（与布鲁克、米德尔顿、利拉德同场/不同时）拆分看净效率变化
- 若需要，我可以去查最新官方/参考站点的数据并附来源
需要我：1) 直接帮你换算每100回合；2) 按搭档拆分做个小分析；还是 3) 查最新权威数据核对一下？