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Table 11 Effects of variables on match results obtained from the hierarchical Bayesian ordered probit model

From: Win-stay lose-shift strategy in formation changes in football

Data set

Variable

Mean

2.5%

97.5%

J-League

Formation change (\(\beta_{\mathrm{f}}\))

0.004

−0.081

0.088

 

Home (\(\beta_{\mathrm{h}}\))

0.150

0.113

0.186

 

Win (\(\beta_{\mathrm{w}}\))

0.078

0.003

0.152

 

Loss (\(\beta_{\ell}\))

0.068

−0.007

0.143

Bundesliga

Formation change (\(\beta_{\mathrm{f}}\))

−0.029

−0.062

0.003

 

Home (\(\beta_{\mathrm{h}}\))

0.421

0.401

0.442

 

Win (\(\beta_{\mathrm{ w}}\))

0.016

−0.020

0.051

 

Loss (\(\beta_{\ell}\))

0.012

−0.024

0.047