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.