基于网络科学的足球战术优化——以Huskies队为例

The Soccer Tactics Optimization Based on Network Science—Based on the Huskies Team of MLB

摘要: 在竞争激烈的足球比赛中，球队的战绩往往是简单地以每个球员的实力加成来估算。然而，团队合作的力量远比简单的加法要大得多。为了探究队内球员合作的动态特点，并拿出有效的策略来指导下赛季的比赛取胜，本文提出了三套模型，依次是针对球队阵型布置的无向图模型、针对球队水平评价的多指标分析的回归模型，及融合上述两套模型的综合评价模型。为了验证模型有效性，本文根据某联赛Huskies队的数据，对其本身及对手情况进行分析，为其下赛季的战术布置及策略给出建议。

Abstract: In the competitive game of football, the performance of a team is often estimated simply by the addition of the strength of each player. Yet the power of teamwork is far greater than the simple addition. In order to explore the dynamic characteristics of the cooperation of the players in the team and come up with effective strategies to guide the winning game next season, we put forward 3 series of models, which are non-directive graph for team pattern, multi-index model for level assessment, and comprehensive model for the combination of the models above. For the validity of the model, we adopt the competition dataset of Huskies team in American, analyzed the situation of the teams respectively, and put forward the suggestions for the tactics and strategies next season.