Table 4.
Model comparison (game condition) for the Bayesian ANOVA of the technical-tactical variables.
Models
P (M|data)
BFM
BF10
Error %
<6.75-m FGM
Game condition
0.890
8.101
1.000
Null model
0.110
0.123
0.123
0.883
<6.75-m FGMs
Game condition
1.000
38260.804
1.000
Null model
2.614e-5
2.614e-5
2.614e-5
0.939
>6.75-m FGM
Game condition
1.000
3046.219
1.000
Null model
3.282e-4
3.283e-4
3.283e-4
0.872
>6.75-m FGMs
Game condition
1.000
4.109e+11
1.000
Null model
2.434e-12
2.434e-12
2.434e-12
1.123
OREB
Game condition
0.997
338.660
1.000
Null model
0.003
0.003
0.003
1.206
DREB
Game condition
1.000
3.008e+9
1.000
Null model
3.325e-10
3.325e-10
3.325e-10
1.925
STL
Null model
0.815
4.407
1.000
Game condition
0.185
0.227
0.227
1.753
AST
Game condition
0.999
1130.483
1.000
Null model
8.838e-4
8.846e-4
8.846e-4
0.782
DD
Game condition
1.000
7.815e+6
1.000
1.390
Null model
1.280e-7
1.280e-7
1.280e-7
1.390
TCHS
Game condition
1.000
3.821e+19
1.000
Null model
2.617e-20
2.617e-20
2.617e-20
0.915
Ball screen
Null model
0.761
3.184
1.000
Game condition
0.239
0.314
0.314
0.854
Off-ball screen
Game condition
0.996
222.790
1.000
Null model
0.004
0.004
0.004
1.809
The prior model probabilities were all equal (0.5). P (M|data) = posterior model probability; BFM = posterior model odds; BF10 = Bayes factor.