
Analyzing basketball factors
I'm thinking about key factors for analysis: team pace, offensive and defensive ratings, rotation depth, injuries, center versus guard matchups, and 3-point attempts. I should also consider coaching style and crunch-time performance. Presenting bracket scenarios could be useful.
It seems essential to clarify the season and current bracket, but I can offer a sample along with a predictive take for the 2023-24 season. I'll provide a framework for team profiles and how to assess each round while considering probabilities using ELO ratings and adjusted net ratings.Explaining series formats and predictions
I should provide an example formula for simulating best-of series in the CBA, which historically has changed formats. For the 2023-24 season, it looks like there's a best-of-3 in the first round (12-to-8), quarterfinals best-of-5, and semis and finals best-of-7.
I can suggest win probabilities using the Bradley-Terry logistic model or Pythagorean expectation. I could also prompt for specific matchups and insert predictions, along with a hypothetical bracket template and guidelines on key factors like net rating, injuries, and offensive efficiency, while keeping formatting light.
想法对上,但需要两点信息来给出更准的结论:

先给你一个可直接套用的预测框架;你把对阵填上,我按这套法给出系列赛胜率和场次判断。
预测框架(实用派)

系列赛胜率简易模型(给你数字就能算)

常见强队画像(不依赖具体赛季,便于对照)

输出模板(我会按这个给每组对阵结论)
你把具体对阵贴上来(含主客顺序更好),我立刻给到每组系列赛的胜率、比分和理由。如果你愿意提供常规赛的进攻/防守效率、净效率和主客场战绩,我还能给出量化的百分比预测。

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