Modeling the Badminton Stroke Pattern Through the Sequential Pattern Discovery Using Equivalent Classes (SPADE) Algorithm

Badminton is one of the most popular sports in world, especially Asia. It has a parent organization called World Federation (BWF). Discussion about player strategies winning various championships held by BWF an interesting topic to discuss. This paper aims analyze hitting patterns badminton players paying attention sequence types strokes made players, including lobs, netting, smashes, drives, and dropshots. Sequential pattern discovery using equivalent class algorithm (SPADE) appropriate method identify these problems because it can determine rules probabilities player's based on order strokes. In this paper, we stroke two top-ranked men's singles sector at Malaysia Open 2022 championship, where Viktor Axelsen Kento Momota met final. Based results research, recommended from information players' patterns. The study, general, be used as for understand opponent's performance or strategy before competing.