A Factor Analysis Approach to Evaluate Batting and Bowling Performance in International Cricket Formats (Tests, ODIs, and T20Is)
DOI:
https://doi.org/10.13052/jrss0974-8024.1914Keywords:
Factor analysis, Kaiser-Meyer-Olkin test, Bartlett’s test of Sphericity, rotated component matrix, eigenvalues, scree plot, communalities, cricketAbstract
Batting and bowling performances are crucial to evaluating the overall contribution of cricket players across all international formats. This study applies factor analysis to assess player performance in Test, ODI, and T20I formats. The dataset comprises 192 players from the 2021–2023 ICC World Test Championship (Test), 149 players from the 2023 ICC Cricket World Cup (ODI), and 193 players from the 2022 ICC T20 World Cup (T20I). The analysis reveals that in the limited-overs formats – ODIs and T20Is – batting performance tends to dominate, accounting for 45.66% and 46.77% of the variance, respectively, compared to bowling performance, which contributes 34.36% in ODIs and 35.61% in T20Is. However, the test format exhibited a near-equal distribution of variance with batting 40.61% and bowling 39.80% of the total variance.
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