Coaches in basketball often need to know how specific rotation line-ups perform in either offense or defense and choose the most efficient formation, according to their specific needs. In this research, a sample of 1131 ball possession phases of Greek Basket League was utilized, in order to estimate the offensive and defensive performance of each formation. Offensive and defensive ratings for each formation were calculated as a function of points scored or received, respectively, over possessions, where possessions were estimated using a multiple regression model. Furthermore, a Markov chain model was implemented to estimate the probabilities of the associated formation’s performance in the long run. The model could allow us to distinguish between overperforming and underperforming formations and revealed the probabilities over the evolution of the game, for each formation to be in a specific rating category. The results indicated that the most dominant formation, in terms of offense, is Point Guard-Point Guard-Small Forward-Power Forward-Center, while defensively schema Point Guard-Shooting Guard-Small Forward-Center-Center had the highest rating. Such results provide information, which could operate as a supplementary tool for the coach’s decisions, related to which rotation line-up patterns are mostly suitable during a basketball game.

篮球教练经常需要知道特定的轮换阵容在进攻或防守中的表现，并根据他们的特定需求选择最有效的阵容。在这项研究中，使用了希腊篮筐联赛1131个控球阶段的样本，以评估每个编队的进攻和防守表现。计算每个编队的进攻和防守等级，分别作为在所有物品上得分或获得的得分的函数，其中使用多元回归模型估算所有物品的得分。此外，实施了马尔可夫链模型来估计相关地层的长期性能概率。该模型可以让我们区分表现优异和表现不佳的阵型，并揭示游戏演变的概率，每种阵型都属于特定的评级类别。结果表明，就进攻而言，最主要的编队是控球后卫-控球后卫-小前锋-前锋-中锋，而防守模式的控球后卫-射门后卫-小前锋-中锋则得分最高。这样的结果提供了信息，该信息可以用作教练决定的补充工具，与哪些旋转排列方式最适合在篮球比赛中使用有关。防守模式中，控球后卫，射门得分，小前锋，中锋，中锋的得分最高。这样的结果提供了信息，该信息可以用作教练决定的补充工具，与哪些旋转排列方式最适合在篮球比赛中使用有关。防守模式中，控球后卫，射门得分，小前锋，中锋，中锋的得分最高。这样的结果提供了信息，该信息可以用作教练决定的补充工具，与哪些旋转排列方式最适合在篮球比赛中使用有关。