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Table 3 Analysis of the influencing factors of the total number of passes and the passing success rate

From: Analysis of influencing factors of passes in the chinese super league

 

Total number of passes

 

Passing success rate

 

β

SE

t

P

 

β

SE

t

P

Fixed effect parameter

         

Intercept

354.188

10.681

33.159

< 0.001

 

0.748

0.008

92.305

< 0.001

Early stage

3.787

3.538

1.070

0.285

 

-0.006

0.002

-2.660

0.008

Middle stage

-6.676

3.530

-1.891

0.059

 

0.011

0.002

4.665

< 0.001

Late stage

0#

0

   

0#

0

  

Home

33.284

2.975

11.188

< 0.001

 

0.012

0.002

6.193

< 0.001

Away

0#

0

   

0#

0

  

Low-level group

-27.103

20.939

-1.294

0.198

 

-0.013

0.016

-0.782

0.436

Lower-level group

-30.046

20.007

-1.502

0.136

 

-0.010

0.015

-0.642

0.523

Upper-level group

-14.830

10.392

-1.427

0.157

 

-0.005

0.008

-0.629

0.531

High-level group

0#

0

   

0#

0

  

Between the last eight

44.964

18.149

2.477

0.015

 

0.160

0.014

1.156

0.251

Last eight vs. first eight

0.523

18.101

0.029

0.977

 

-0.002

0.014

-0.156

0.877

First eight vs. last eight

57.664

4.173

13.817

< 0.001

 

0.024

0.003

9.038

< 0.001

Between the first eight

0#

0

   

0#

0

  

Loss of two or more goals

29.603

4.655

6.359

< 0.001

 

0.017

0.003

5.753

< 0.001

One goal loss

19.709

4.412

4.467

< 0.001

 

0.005

0.003

1.588

0.112

One goal win

-21.113

4.430

-4.766

< 0.001

 

-0.005

0.003

-1.729

0.084

Win of two or more goals

-7.767

4.707

-1.650

0.099

 

0.009

0.003

2.802

0.005

Draw

0#

0

   

0#

0

  

Covariance parameter

         

Residual

5975.105

160.229

37.291

(Wald z)

< 0.001

 

0.003

6.716E-5

37.249

(Wald z)

< 0.001

Season

678.307

118.746

5.712

(Wald z)

< 0.001

 

0.0004

7.294E-5

5.873

(Wald z)

< 0.001

  1. Note: # it is parameter redundancy, so it is set to zero (the same below)