Analyzing predictive approaches in martial arts research

Background and Study Aim. Predicting the results of martial arts competitions is an important task that attracts attention both sports analysts fans these sports. The objective this study to perform analytical examination publications on prediction, with aim identifying primary research directions in field. Materials Methods. bibliometric analysis PubMed database data was used create a sample studies at 18.05.2023. keywords "prediction", "martial arts" were for search. A total 151 found. first publication dated 1983. VOSviewer 1.6.19 program used: keyword method direct citation construction maps, visualization cluster density, weights – citations. Results. 51 journals from 21 countries identified. unconditional leader among United States (16 journals). Between 1983 May 18, 2023, 741 scientific works involved 67 authors whose link strength more than 0. Eight clusters They characterized by presence 271 links 276. number items did not have significant difference; can be explained popularity all research. seventh eighth had most publications. To visualize network 63 (keywords) selected. grouped into 4 clusters. includes 951 links; 4027. popular are highlighted. These include following keywords: "humans", arts", "female", "male", "athletes", "young adult", "middle aged". Conclusions. maps revealed tendencies highlighted priority areas. relevance problem prediction confirmed. An increase over past decade has been observed. main areas arts, health, training, humans. Most focus utilizing artificial intelligence machine learning techniques predicting competition outcomes. Additionally, they explore application tools uncover patterns identify critical factors impact results. Modern technologies availability big open up new possibilities competitive success arts.