In this research, the basic pattern of seasonal performances of soccer teams is investigated. We propose a clustering method to reveal the seasonal performance. In the proposed method, a new performance indicator called situational score line is used as a feature describing the seasonal performance. It consists of score line, opponent rating, and away rating. Using k-means, the features are clustered into four clusters. Cluster 1, which has a pattern of decreasing performance, is the basic pattern of Italian Serie A and German Bundesliga. Cluster 2 has a stable performance, which is mostly shown in English Premier League, Italian Serie A, and Spanish La Liga. Cluster 3 has the highest competitiveness and is one of the most common patterns in French Ligue 1 and Spanish La Liga. Finally, Cluster 4, which has a rising performance, is the basic pattern of the English Premier League.
CITATION STYLE
Wibowo, C. P. (2016). Clustering seasonal performances of soccer teams based on situational score line. Communications in Science and Technology, 1(1), 1–6. https://doi.org/10.21924/cst.1.1.2016.11
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