||The purposes of this study are to construct a team performance evaluation model of the FIVB Volleyball Women's World Cup using the multicriteria decision-making (MCDM) concept, and to conduct an empirical analysis of the teams in the 2019 competition. Research data collected the report of match player rankings (P3) from the Volleyball Information System (VIS), which were based on 198 matches played in 2007, 2011, and 2015. This study employs grey relational analysis (GRA) for performance evaluation, and ranks the results using the Spearman rank-order correlation coefficient for verification. The results show that the 12 criteria used to evaluate teams' performance had different effects on the teams' game-winning rates. The 5 key evaluation skill criteria were: spike points, spike faults, dig faults, serve aces, and kill blocks. It concludes that considering the volleyball teams' performance in both scoring and non-scoring skills provides a better explanatory power for win rates, and as such, our findings confirm that the performance of non-scoring skills contributes to match outcomes. This study suggests that the non-scoring skills training in these skills should be emphasized to improve a team's win rate.