Current research uses TOPSIS to evaluate 14 Cricket World Cup 2023
teams. Data from the Espn Cricinfo website was used in this analysis. A
comprehensive set of criteria (P1 to P11) was used to evaluate each
squad, encompassing various game aspects. A numerical labeling system
(A1 to A14) and parameter system (P1 to P11) were used to idenMfy team
names and qualiMes more efficiently. The research calculates the
normalized matrix and weighted matrix, then finds the best and worst
values using TOPSIS. A normalized matrix creates a consistent and
uniform framework for evaluaMng and comparing factors, ensuring
imparMality and jusMficaMon. In contrast, the weighted matrix integrates
each criterion’s proporMonal importance into the evaluaMon process. For
each criterion, the ideal best and ideal worst values indicate the best
and worst performance. The TOPSIS analysis placed Australia first,
Bangladesh second, and New Zealand third. In fourth and fiXh place were
India and Sri Lanka. Afghanistan, West Indies, England, South Africa,
and Pakistan rated sixth to tenth. Nepal was tenth, Ireland, the US, and
Zimbabwe fourteenth.To understand team performance, the TOPSIS technique
must be accepted. It is important to acknowledge that the Cricket World
Cup 2023 results may vary owing to many factors. This study provides a
systematic and comprehensive approach to team performance, making it a
useful resource for cricket fans and experts interested in the event’s
competitive dynamics.