Four Factors Adjusted Ratings were created by Pat Oxford (@HoopsMetrOX relative to the strength of their opponent in that game. For example: if the opposing team normally allows an eFG% of 54.0%, but the team only puts up a mark of 52.0%, they are listed at -2.0 in the eFG% column. The first table lists offensive FFAR, while the lower table has defensive (opponent) FFAR. Clicking on the + will display more information about the game.
Offensive Four Factors Adjusted Ratings
FFAR Minnesota Off
21/12/2018
-16.6
-21.7
-21.6
-14.81%
-1.20%
-5.23%
19.3
@
SAS
L
98
124
19/12/2018
5.0
-4.8
4.6
-4.50%
7.84%
2.28%
2.4
vs.
DET
L
123
129
17/12/2018
16.3
29.4
14.0
1.27%
5.88%
6.12%
11.5
vs.
SAC
W
132
105
15/12/2018
-15.1
-18.1
-14.3
-10.32%
4.11%
-3.87%
-9.4
@
PHX
L
99
107
12/12/2018
16.2
-12.3
19.3
5.17%
5.28%
4.72%
1.7
@
SAC
L
130
141
10/12/2018
-2.4
3.9
-4.7
-0.84%
-2.16%
-4.65%
9.7
@
GSW
L
108
116
08/12/2018
-5.8
-3.9
-8.3
-4.25%
0.47%
0.51%
-2.2
@
POR
L
105
113
05/12/2018
10.1
16.9
9.8
7.39%
-1.87%
6.20%
-3.0
vs.
CHA
W
121
104
03/12/2018
1.3
18.3
-3.2
-3.17%
0.12%
6.97%
3.5
vs.
HOU
W
103
91
01/12/2018
2.0
-2.5
2.4
-0.59%
-1.00%
-1.25%
11.9
vs.
BOS
L
109
118
28/11/2018
13.9
44.5
19.7
4.99%
1.00%
15.27%
-6.6
vs.
SAS
W
128
89
26/11/2018
-5.6
2.0
-9.5
-5.61%
3.15%
-1.36%
-2.1
@
CLE
W
102
95
24/11/2018
-6.3
2.7
-5.1
-11.68%
-1.08%
18.10%
0.8
vs.
CHI
W
111
96
23/11/2018
2.6
7.0
4.8
0.52%
5.85%
-6.21%
-3.0
@
BKN
W
112
102
21/11/2018
-4.9
2.5
-4.2
-1.85%
-5.09%
-0.21%
8.8
vs.
DEN
L
101
103
18/11/2018
-16.3
-16.3
-17.8
-5.81%
-5.48%
1.02%
-7.5
vs.
MEM
L
87
100
16/11/2018
1.7
18.9
4.8
4.85%
0.57%
-2.29%
-10.6
vs.
POR
W
112
96
14/11/2018
-9.1
2.4
-10.9
-4.11%
-2.14%
-3.18%
1.7
vs.
NOP
W
107
100
12/11/2018
11.0
12.8
5.6
7.82%
-8.95%
9.49%
13.4
vs.
BKN
W
120
113
09/11/2018
-7.3
-9.5
-8.2
-8.23%
-0.62%
3.82%
5.7
@
SAC
L
110
121
07/11/2018
-1.4
-6.8
1.2
4.88%
-2.47%
-1.64%
-10.6
@
LAL
L
110
114
05/11/2018
1.0
-8.1
-0.7
-1.99%
1.49%
-0.27%
5.5
@
LAC
L
109
120
04/11/2018
-20.1
-30.2
-23.8
-15.05%
1.57%
-2.29%
-1.0
@
POR
L
81
111
02/11/2018
-8.9
-8.8
-10.5
-6.94%
8.14%
-8.25%
-10.3
@
GSW
L
99
116
31/10/2018
19.1
8.2
21.1
14.56%
-1.97%
3.18%
0.0
vs.
UTA
W
128
125
29/10/2018
6.2
1.9
6.1
-1.82%
-0.47%
11.36%
7.0
vs.
LAL
W
124
120
26/10/2018
-16.6
-17.9
-21.6
-12.77%
3.04%
1.91%
-10.2
vs.
MIL
L
95
125
24/10/2018
-1.1
-0.8
-0.9
-0.92%
-1.24%
8.66%
-8.6
@
TOR
L
105
112
22/10/2018
-2.3
12.6
-4.1
-5.35%
0.88%
1.40%
7.8
vs.
IND
W
101
91
20/10/2018
15.7
-1.0
12.7
8.78%
-2.76%
-2.54%
21.6
@
DAL
L
136
140
19/10/2018
8.3
-1.7
5.7
-0.51%
-0.45%
3.14%
19.5
vs.
CLE
W
131
123
17/10/2018
0.5
-5.7
0.8
-7.11%
0.90%
9.77%
8.8
@
SAS
L
108
112
23/12/2018
3.1
5.8
4.4
5.44%
-1.68%
-5.01%
1.5
@
OKC
W
114
112
26/12/2018
6.6
14.1
12.1
1.92%
1.12%
7.20%
-3.3
@
CHI
W
119
94
28/12/2018
-3.0
-8.0
-5.6
-4.27%
1.48%
3.57%
-2.6
vs.
ATL
L
120
123
30/12/2018
2.1
3.6
4.6
-7.41%
3.06%
7.80%
10.6
@
MIA
W
113
104
31/12/2018
4.3
-6.3
4.7
-2.41%
5.86%
1.12%
0.8
@
NOP
L
114
123
02/01/2019
-0.2
-3.3
-0.3
0.61%
-0.60%
0.95%
-2.2
@
BOS
L
102
115
04/01/2019
15.7
21.5
18.8
8.12%
2.27%
3.03%
1.4
vs.
ORL
W
120
103
06/01/2019
-1.4
20.6
-1.6
1.08%
1.23%
-5.34%
-3.0
vs.
LAL
W
108
86
08/01/2019
13.3
5.4
12.5
-3.66%
6.12%
9.29%
15.3
@
OKC
W
119
117
11/01/2019
2.4
-5.8
4.8
-1.62%
-0.16%
14.26%
-8.7
vs.
DAL
L
115
119
12/01/2019
-3.3
4.4
-3.9
-4.01%
-0.84%
4.62%
1.1
vs.
NOP
W
110
106
15/01/2019
-2.8
-30.9
-6.2
-4.33%
2.10%
-1.98%
4.6
@
PHI
L
107
149
18/01/2019
3.5
0.8
-0.7
-5.11%
0.40%
4.97%
18.1
vs.
SAS
L
113
116
20/01/2019
-6.0
-11.5
-5.8
-8.32%
-0.89%
2.93%
11.5
vs.
PHX
W
116
114
22/01/2019
-2.8
9.9
-4.0
-4.02%
1.11%
10.23%
-11.4
@
PHX
W
118
91
24/01/2019
6.2
11.2
7.1
-3.82%
-0.27%
18.66%
2.5
@
LAL
W
120
105
25/01/2019
-0.1
1.2
0.8
-3.84%
-1.87%
11.58%
1.4
@
UTA
L
102
106
27/01/2019
9.0
-4.1
11.2
8.56%
-1.87%
-5.72%
7.2
vs.
UTA
L
111
125
30/01/2019
-9.1
-6.9
-6.3
-9.01%
2.12%
4.92%
-5.7
vs.
MEM
W
99
97
02/02/2019
4.6
-0.3
3.5
0.95%
2.91%
5.19%
-7.4
vs.
DEN
L
106
107
05/02/2019
1.2
-4.9
4.6
-2.01%
-2.68%
13.52%
-1.9
@
MEM
L
106
108
07/02/2019
7.0
-8.5
10.7
0.62%
0.37%
15.93%
-8.5
@
ORL
L
112
122
08/02/2019
-3.3
-3.1
-4.3
1.99%
-2.04%
-4.98%
-2.1
@
NOP
L
117
122
11/02/2019
15.3
8.6
14.8
3.71%
-0.21%
10.63%
11.4
vs.
LAC
W
130
120
13/02/2019
15.8
15.9
19.7
7.43%
4.32%
6.47%
-6.8
vs.
HOU
W
121
111
22/02/2019
-1.5
3.6
-4.4
-0.53%
0.49%
-5.23%
4.2
@
NYK
W
115
104
23/02/2019
13.0
-4.3
18.9
4.33%
3.34%
6.41%
-0.6
@
MIL
L
128
140
25/02/2019
-6.9
6.7
-12.8
1.97%
-4.12%
-10.88%
3.2
vs.
SAC
W
112
105
27/02/2019
-4.3
-11.6
-5.8
-5.27%
7.98%
-10.23%
-1.2
@
ATL
L
123
131
28/02/2019
11.8
-0.7
11.6
-0.05%
-3.62%
22.70%
7.7
@
IND
L
115
122
03/03/2019
1.0
-16.3
4.1
0.69%
3.24%
-1.83%
-6.6
@
WAS
L
121
135
05/03/2019
21.7
17.7
19.7
6.44%
6.42%
4.29%
8.8
vs.
OKC
W
131
120
06/03/2019
-1.7
-24.7
3.2
4.40%
-0.56%
-9.72%
-3.6
@
DET
L
114
131
09/03/2019
2.1
0.6
4.5
-5.61%
6.54%
5.37%
-2.2
vs.
WAS
W
135
130
10/03/2019
-8.8
-3.8
-9.7
-5.53%
1.39%
1.97%
-10.3
vs.
NYK
W
103
92
12/03/2019
-2.3
-21.2
-0.2
0.65%
-3.49%
6.39%
-7.3
@
DEN
L
107
133
14/03/2019
-0.7
-14.2
1.1
-0.54%
2.73%
0.48%
-8.5
@
UTA
L
100
120
17/03/2019
-7.7
-13.4
-11.8
-9.07%
0.62%
8.87%
-3.3
@
HOU
L
102
117
19/03/2019
-1.5
1.9
-2.6
-5.34%
0.34%
3.15%
8.8
vs.
GSW
L
107
117
21/03/2019
-6.1
-5.6
-10.2
-3.61%
1.13%
-6.30%
2.6
@
CHA
L
106
113
23/03/2019
5.1
7.2
7.3
3.49%
-4.18%
8.82%
0.4
@
MEM
W
112
99
26/03/2019
-4.4
-2.6
-5.2
-2.49%
3.09%
-7.37%
-1.0
vs.
LAC
L
111
122
29/03/2019
4.8
8.3
3.6
0.16%
-0.56%
5.05%
6.1
vs.
GSW
W
131
130
30/03/2019
0.4
-6.5
0.5
0.07%
3.30%
-7.88%
2.6
vs.
PHI
L
109
118
01/04/2019
9.9
-6.5
12.9
3.25%
3.27%
4.61%
-1.9
vs.
POR
L
122
132
03/04/2019
-1.3
0.2
0.8
2.08%
2.74%
-12.04%
-0.9
@
DAL
W
110
108
05/04/2019
0.7
2.9
3.2
3.89%
-4.64%
1.80%
-0.8
vs.
MIA
W
111
109
07/04/2019
13.6
-3.5
17.0
7.44%
3.42%
-5.61%
7.5
vs.
OKC
L
126
132
09/04/2019
-11.3
-22.2
-11.7
-4.82%
3.16%
-11.54%
-4.6
vs.
TOR
L
100
120
10/04/2019
-10.3
-1.8
-8.3
-2.45%
3.11%
-7.91%
-15.4
@
DEN
L
95
99
Defensive Four Factors Adjusted Ratings
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