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Table 4 Effects of variables on match results as obtained from the ordered probit model

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

Data set

Variable

Coefficient

SE

p -value

J-League

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

0.112

0.063

0.075

 

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

0.087

0.033

0.009

 

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

0.082

0.099

0.405

 

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

0.193

0.100

0.053

 

Strength (\(\beta_{\mathrm{r}}\))

2.889

0.169

<0.001

Bundesliga

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

−0.011

0.016

0.509

 

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

0.420

0.011

<0.001

 

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

−0.060

0.018

0.001

 

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

−0.006

0.018

0.738

 

Strength (\(\beta_{\mathrm{r}}\))

2.792

0.060

<0.001

  1. SE: standard error.