NBA predictions Sun, Nov 8

Win probabilities, projected scores and totals for every NBA game, plus player box-score lines. Methodology →

7 games on this slate

Power rankings: every team's model rating →

‹ ›

Updated 3h ago

Sun, Nov 8 · 6:00 PM ET

#12 Lakers

39.8% 109.9

#4 Pistons

60.2% 113.4

ModelMarket

Spread DET -3.5 DET -7.5

DET win 60.2% 62.3%

Total 223.2 217.5

Model vs line LAL +4.5 1.0 pt gap

Set at line DET -4.5

Biggest factor: Home court · DET +1.7 pts

Sun, Nov 8 · 7:00 PM ET

#29 Jazz

13.9% 105.0

#5 Timberwolves

86.1% 119.8

ModelClose

Spread MIN -14.8 MIN -12.5

MIN win 86.1% 83.2%

Total 224.8 222.5

Model vs line MIN -11.5 2.7 pt gap

Set at line MIN -11.5

Biggest factor: Home court · MIN +1.7 pts

Sun, Nov 8 · 7:30 PM ET

#21 Nets

34.8% 107.6

#20 Mavericks

65.2% 112.9

ModelMarket

Spread DAL -5.3 DAL -7.5

DAL win 65.2% 72.4%

Total 220.5 223.5

Model vs line BKN +7.5 0.3 pt gap

Biggest factor: Back-to-back (BKN) · DAL +2.0 pts

Sun, Nov 8 · 8:00 PM ET

#2 Celtics

79.6% 116.6

#27 Bucks

20.4% 105.6

ModelMarket

Spread BOS -11.1 BOS -13.5

BOS win 79.6% 84.7%

Total 222.2 221.5

Model vs line MIL +13.5 2.3 pt gap

Biggest factor: Home court · MIL +1.7 pts

Sun, Nov 8 · 9:00 PM ET

#18 Pelicans

57.1% 115.3

#24 Clippers

42.9% 112.8

ModelMarket

Spread NOP -2.4 NOP -1.5

NOP win 57.1% 52.6%

Total 228.1 226.5

Model vs line NOP -1.5 0.9 pt gap

Biggest factor: Injuries and absences · NOP +3.7 pts

Sun, Nov 8 · 9:00 PM ET

#17 Heat

70.3% 120.2

#30 Kings

29.7% 112.8

ModelMarket

Spread MIA -7.4 MIA -11.5

MIA win 70.3% 80.5%

Total 232.9 235.5

Model vs line SAC +10.5 3.8 pt gap

Set at line MIA -10.5

Biggest factor: Injuries and absences · MIA +2.0 pts

Sun, Nov 8 · 3:30 PM ET

#10 76ers

75.0% 119.0

#28 Bulls

25.0% 109.7

ModelMarket

Spread PHI -9.3 PHI -9.5

PHI win 75.0% 77.6%

Total 228.8 238.5

Model vs line CHI +9.5 0.2 pt gap

Biggest factor: Injuries and absences · PHI +2.8 pts

	LAL	DET
Offensive ratingpts/100	118.01st of 30	114.214th of 30
Defensive ratingpts/100	113.613th of 30	108.81st of 30
Net ratingpts/100	4.37th of 30	5.44th of 30
Paceposs/48	100.215th of 30	99.223rd of 30

	UTA	MIN
Offensive ratingpts/100	108.929th of 30	115.57th of 30
Defensive ratingpts/100	116.226th of 30	110.75th of 30
Net ratingpts/100	-7.328th of 30	4.85th of 30
Paceposs/48	100.99th of 30	100.312th of 30

	BKN	DAL
Offensive ratingpts/100	109.328th of 30	112.119th of 30
Defensive ratingpts/100	115.123rd of 30	114.420th of 30
Net ratingpts/100	-5.725th of 30	-2.320th of 30
Paceposs/48	99.421st of 30	100.116th of 30

	BOS	MIL
Offensive ratingpts/100	116.74th of 30	110.523rd of 30
Defensive ratingpts/100	110.64th of 30	117.228th of 30
Net ratingpts/100	6.12nd of 30	-6.726th of 30
Paceposs/48	97.528th of 30	101.16th of 30

	NOP	LAC
Offensive ratingpts/100	113.317th of 30	111.721st of 30
Defensive ratingpts/100	115.325th of 30	114.117th of 30
Net ratingpts/100	-2.019th of 30	-2.421st of 30
Paceposs/48	101.54th of 30	100.214th of 30

	MIA	SAC
Offensive ratingpts/100	113.118th of 30	110.225th of 30
Defensive ratingpts/100	114.218th of 30	118.229th of 30
Net ratingpts/100	-1.117th of 30	-8.029th of 30
Paceposs/48	102.53rd of 30	101.08th of 30

	PHI	CHI
Offensive ratingpts/100	111.720th of 30	110.126th of 30
Defensive ratingpts/100	111.76th of 30	118.230th of 30
Net ratingpts/100	0.015th of 30	-8.130th of 30
Paceposs/48	99.919th of 30	103.11st of 30

Points leaders

Luka Dončić32.6 pts
Giannis Antetokounmpo26.2 pts
Jayson Tatum25.8 pts
Tyrese Maxey24.5 pts
Cade Cunningham24.4 pts

Rank by


LAL @ DET	32.6	5.4	4.60	8.1	0.41	6.1	6.6	1.32	0.50	4.21
MIA @ SAC	26.2	8.8	0.91	5.9	3.34	7.9	5.1	1.00	1.02	2.97
BOS @ MIL	25.8	5.9	2.16	7.5	0.48	4.8	6.6	0.84	0.50	2.33
LAL @ DET	24.4	6.1	2.45	4.8	0.48	4.2	7.0	1.47	0.73	3.79
BKN @ DAL	21.9	6.3	1.33	5.3	1.01	5.1	5.4	1.57	0.79	2.71
BKN @ DAL	21.7	5.3	1.72	5.9	1.71	4.8	5.4	0.98	0.09	3.42
PHI @ CHI	24.5	5.9	2.46	5.3	0.37	3.0	4.8	1.28	0.79	2.04
MIA @ SAC	23.3	5.9	2.85	3.0	0.44	2.7	6.7	0.88	0.11	3.14
BKN @ DAL	22.8	3.9	3.59	4.2	0.73	5.6	1.9	1.32	0.53	2.07
UTA @ MIN	20.3	4.9	1.99	4.5	0.49	3.1	6.1	0.96	0.22	3.66
PHI @ CHI	18.5	5.2	0.95	5.2	1.45	6.5	3.5	0.74	1.11	2.47
PHI @ CHI	20.8	6.0	1.86	3.2	1.36	4.8	3.7	1.15	0.55	1.98
MIA @ SAC	18.5	5.8	0.97	4.0	2.27	5.1	3.1	1.69	0.74	1.85
LAL @ DET	19.9	4.8	1.82	4.9	0.53	2.8	4.2	1.02	0.26	3.44
UTA @ MIN	19.0	3.1	3.39	2.6	0.77	3.3	5.8	1.54	0.13	3.46
NOP @ LAC	19.4	4.8	2.26	3.1	0.49	1.9	6.0	0.80	0.00	4.34
BOS @ MIL	19.8	4.3	2.79	2.9	1.03	3.5	4.5	0.97	0.09	2.22
PHI @ CHI	15.7	4.9	1.08	2.7	0.74	5.3	6.1	1.26	1.12	2.50
UTA @ MIN	18.5	5.8	1.65	2.0	0.87	3.9	4.3	1.30	0.59	2.08
UTA @ MIN	18.2	5.8	1.70	1.5	1.60	4.2	3.5	1.07	0.84	1.75
BOS @ MIL	17.6	3.7	2.66	2.3	0.65	4.0	3.8	1.61	0.62	2.21
PHI @ CHI	17.6	3.9	2.35	2.7	1.56	4.5	2.3	1.28	0.73	2.17
MIA @ SAC	11.2	4.2	0.15	2.4	3.08	8.3	5.4	0.83	0.10	3.06
BKN @ DAL	18.9	4.5	2.58	2.2	0.88	2.4	3.8	1.07	0.41	1.70
UTA @ MIN	17.6	2.4	3.19	3.1	1.20	4.8	2.3	0.82	0.53	1.69
MIA @ SAC	15.3	3.9	2.05	1.3	0.52	1.8	7.4	1.31	0.56	2.52
MIA @ SAC	17.5	3.5	2.15	4.0	0.51	2.4	2.6	0.88	0.47	2.28
NOP @ LAC	15.8	5.5	0.19	4.3	1.30	2.9	2.4	1.59	0.42	1.46
PHI @ CHI	17.6	2.9	2.01	5.7	0.41	2.4	1.8	1.09	0.00	1.61
NOP @ LAC	14.3	4.5	0.91	2.6	0.58	3.7	4.3	1.39	0.59	2.18
NOP @ LAC	15.0	4.7	1.15	2.1	1.22	2.9	4.1	0.97	0.36	2.24
LAL @ DET	17.7	1.6	3.74	3.4	0.30	2.1	2.3	1.63	0.17	1.33
NOP @ LAC	15.7	3.6	2.10	2.1	0.87	4.8	1.9	0.96	0.19	1.78
UTA @ MIN	14.3	3.4	1.71	2.5	1.19	2.5	3.9	1.11	0.85	1.62
LAL @ DET	11.2	4.6	0.00	1.9	3.13	6.1	1.4	1.09	1.79	1.40
BKN @ DAL	14.5	2.6	2.20	2.7	1.62	4.7	1.5	0.68	0.78	1.49
UTA @ MIN	13.9	3.0	1.87	2.2	1.38	4.2	2.8	1.21	1.01	1.07
LAL @ DET	12.5	4.9	0.36	1.5	2.34	4.6	2.5	1.21	0.65	1.80
BOS @ MIL	14.2	3.9	1.46	2.1	1.72	3.4	2.7	0.61	0.14	1.78
LAL @ DET	10.7	4.1	0.15	2.0	1.39	5.4	4.3	1.04	0.44	2.18
PHI @ CHI	10.0	2.6	1.15	1.3	0.76	4.7	7.3	0.65	0.30	2.61
PHI @ CHI	13.2	3.6	1.69	0.9	1.13	4.6	2.9	1.27	0.58	1.42
BKN @ DAL	8.9	2.7	0.46	2.1	3.03	4.9	4.2	0.69	1.37	1.99
PHI @ CHI	12.5	2.5	1.42	3.3	0.97	4.2	2.1	0.61	0.46	2.13
BOS @ MIL	12.5	2.8	1.71	1.7	0.98	2.4	4.5	1.13	0.36	2.05
BOS @ MIL	12.2	2.6	1.41	2.9	2.28	3.4	2.6	0.74	0.09	1.54
UTA @ MIN	12.5	3.4	1.70	0.7	1.72	4.1	2.0	0.63	1.18	1.68
NOP @ LAC	12.1	3.5	1.16	1.7	1.16	4.5	1.3	0.64	1.56	1.20
BKN @ DAL	13.0	3.4	1.48	1.8	0.54	1.6	3.3	1.27	0.62	1.85
NOP @ LAC	13.6	3.2	1.50	2.6	0.83	2.5	2.0	0.84	0.19	1.12
MIA @ SAC	12.7	2.5	1.84	2.1	0.78	4.6	1.6	0.58	0.14	1.31
UTA @ MIN	8.6	2.9	0.10	2.5	3.15	6.1	1.4	0.68	1.07	1.04
MIA @ SAC	10.8	2.2	0.99	3.5	0.76	3.0	3.4	1.20	0.11	1.56
BOS @ MIL	12.0	2.4	1.64	2.3	0.65	1.8	3.2	0.74	0.20	1.29
NOP @ LAC	11.1	1.6	1.34	3.9	0.57	2.6	2.6	0.59	0.29	1.47
NOP @ LAC	11.2	2.2	1.58	2.2	0.64	2.8	2.9	0.87	0.23	1.29
BKN @ DAL	10.8	3.5	0.96	1.0	0.67	2.3	4.0	0.88	0.35	1.55
NOP @ LAC	11.4	0.7	2.90	1.2	0.82	2.9	3.8	0.76	0.00	1.35
UTA @ MIN	11.7	1.9	1.66	2.8	0.50	2.9	2.2	0.60	0.12	1.22
NOP @ LAC	7.9	2.1	0.82	1.3	0.67	3.8	4.0	1.82	0.76	1.67
BOS @ MIL	7.9	1.6	1.42	0.5	1.48	4.8	2.3	0.73	2.50	1.63
MIA @ SAC	13.2	1.1	3.44	0.6	0.23	2.2	1.8	0.49	0.59	1.11
NOP @ LAC	9.3	3.1	0.23	2.4	0.92	4.0	2.0	0.60	0.30	1.43
BOS @ MIL	9.9	2.7	1.16	1.0	1.03	2.5	3.3	0.58	0.37	1.71
BOS @ MIL	8.5	3.0	0.10	2.2	1.99	4.3	1.4	0.47	1.29	0.87
PHI @ CHI	9.0	1.7	1.52	1.0	1.56	5.3	1.8	0.48	0.78	1.00
PHI @ CHI	9.8	3.0	0.24	3.0	0.88	1.7	3.1	0.76	0.10	1.23
NOP @ LAC	9.7	2.2	1.50	0.7	1.49	3.1	1.6	1.01	1.23	1.13
UTA @ MIN	7.0	2.7	0.03	1.5	1.91	4.5	2.1	0.88	1.35	1.42
BKN @ DAL	9.7	1.0	2.11	1.5	0.97	3.8	2.3	0.54	0.00	1.37
BOS @ MIL	8.9	2.5	0.90	1.3	2.42	3.5	0.9	0.46	0.79	1.21
BOS @ MIL	9.1	2.2	1.32	0.6	1.23	3.3	2.7	0.89	0.00	1.43
MIA @ SAC	8.7	3.4	0.35	1.0	1.61	3.4	1.2	0.92	1.48	0.82
NOP @ LAC	9.6	1.7	1.61	1.4	0.58	2.8	2.0	0.93	0.13	1.28
LAL @ DET	9.0	1.9	1.25	1.3	0.63	1.9	3.8	0.61	0.05	1.69
BKN @ DAL	9.7	2.7	0.78	2.0	0.95	2.2	1.4	0.70	0.12	0.96
LAL @ DET	8.9	2.9	0.80	0.7	1.53	3.4	0.9	0.61	0.51	1.04
MIA @ SAC	9.3	2.1	1.26	1.3	0.32	1.0	3.8	0.49	0.10	1.51
BOS @ MIL	8.7	1.7	1.27	1.5	2.02	2.5	1.6	0.54	0.35	0.80
BKN @ DAL	6.3	2.5	0.03	1.3	2.10	3.4	1.6	0.62	1.67	1.16
MIA @ SAC	9.3	2.4	1.01	1.5	1.08	2.0	1.2	0.80	0.00	0.76
BKN @ DAL	7.4	2.5	0.31	1.5	2.04	2.7	1.4	0.54	0.10	1.12
MIA @ SAC	8.3	2.1	1.21	0.6	1.11	2.0	1.5	0.66	0.84	0.97
UTA @ MIN	6.0	2.5	0.00	0.9	2.02	3.8	1.0	0.43	1.05	0.71
MIA @ SAC	6.6	1.3	1.16	0.5	0.68	4.5	1.6	0.63	0.42	0.86
LAL @ DET	7.2	1.6	0.94	1.2	0.83	2.8	1.5	0.66	0.48	0.82
UTA @ MIN	6.9	0.9	1.27	1.3	0.94	3.6	1.1	0.68	0.34	0.79
UTA @ MIN	8.4	1.4	1.63	0.8	0.30	1.1	2.3	0.61	0.33	0.93
NOP @ LAC	7.1	1.4	1.15	0.8	0.77	3.2	1.1	0.69	0.34	0.92
BKN @ DAL	6.9	1.3	1.08	1.1	0.54	2.0	2.7	0.54	0.11	1.08
MIA @ SAC	5.8	2.1	0.00	1.5	1.74	2.6	1.3	0.48	1.08	0.61
BKN @ DAL	6.3	1.5	0.86	0.7	1.08	2.9	1.2	0.91	0.92	0.77
BKN @ DAL	6.4	1.2	0.88	1.4	0.88	3.1	1.1	0.52	0.43	0.82
PHI @ CHI	7.3	1.5	0.95	1.4	0.58	0.9	1.8	0.56	0.76	0.89
LAL @ DET	7.4	1.8	0.84	1.2	0.60	1.2	1.8	0.45	0.27	1.03
UTA @ MIN	5.6	1.7	0.18	1.6	0.42	1.6	3.2	0.36	0.00	1.52
PHI @ CHI	7.9	0.8	1.75	1.0	0.38	1.7	1.2	0.59	0.18	0.68
NOP @ LAC	5.7	1.3	0.23	2.4	0.47	2.9	1.2	0.60	0.47	0.83
LAL @ DET	5.9	1.2	0.89	0.9	0.92	1.9	1.6	0.65	0.99	1.03
LAL @ DET	7.0	1.1	1.47	0.5	0.43	1.7	1.8	0.74	0.39	0.91
MIA @ SAC	7.3	1.2	1.37	0.8	0.68	1.7	1.5	0.70	0.00	0.65
PHI @ CHI	6.1	1.3	0.91	0.7	1.15	2.7	1.2	0.36	0.51	0.94
UTA @ MIN	6.9	1.3	1.05	1.2	0.77	1.6	1.1	0.83	0.24	0.72
BOS @ MIL	5.3	2.1	0.00	1.0	2.16	2.7	0.7	0.48	0.67	0.62
LAL @ DET	6.9	1.0	1.35	1.0	0.70	1.6	1.4	0.94	0.07	0.63
LAL @ DET	5.9	0.9	0.76	1.8	0.51	2.0	1.9	0.72	0.05	1.07
LAL @ DET	4.8	0.9	0.79	0.7	1.43	2.4	1.6	1.07	0.67	1.21
UTA @ MIN	4.6	1.8	0.00	1.1	2.34	2.4	0.7	0.40	0.98	0.53
MIA @ SAC	5.4	0.5	1.31	0.6	0.90	2.3	1.7	1.08	0.59	0.55
BKN @ DAL	5.5	1.8	0.00	1.8	1.19	2.1	1.2	0.35	0.00	0.82
BOS @ MIL	5.0	0.8	0.63	1.5	0.46	1.7	2.8	0.46	0.05	1.36
BOS @ MIL	6.5	0.3	1.83	0.4	0.62	2.0	1.7	0.41	0.12	0.87
UTA @ MIN	6.7	1.1	1.16	0.9	0.42	1.6	1.1	0.38	0.23	0.94
BOS @ MIL	5.6	1.0	1.08	0.3	0.96	2.7	1.4	0.68	0.00	0.79
NOP @ LAC	6.1	0.9	0.83	1.9	0.35	0.9	1.9	0.53	0.26	0.72
BOS @ MIL	6.7	0.4	1.90	0.1	0.67	2.4	1.2	0.46	0.16	0.40
UTA @ MIN	4.6	0.9	0.58	1.0	0.99	2.9	1.4	0.65	0.21	1.03
NOP @ LAC	6.3	1.9	0.55	0.9	0.59	1.8	0.7	0.42	0.29	0.66
BOS @ MIL	6.3	1.6	0.64	1.1	0.79	1.7	0.7	0.41	0.26	0.65
LAL @ DET	6.0	0.4	1.28	1.4	0.40	2.4	0.8	0.59	0.33	0.44
LAL @ DET	5.6	0.5	1.33	0.7	0.35	1.4	1.1	1.15	0.68	0.87
PHI @ CHI	5.6	0.9	0.66	1.7	0.95	1.3	1.1	0.45	0.29	0.60
NOP @ LAC	5.6	1.5	0.72	0.5	0.46	1.9	1.0	0.71	0.16	0.93
PHI @ CHI	5.3	1.2	0.62	1.2	1.18	1.8	0.7	0.47	0.20	0.73
BKN @ DAL	4.9	0.9	0.92	0.4	0.39	1.5	1.7	0.90	1.06	0.70
BKN @ DAL	5.6	1.2	0.83	0.7	0.96	1.3	1.1	0.57	0.28	0.77
PHI @ CHI	3.8	0.6	0.64	0.6	0.97	2.2	1.7	1.10	0.51	0.61
PHI @ CHI	4.8	1.4	0.19	1.4	0.97	2.0	0.8	0.33	0.00	0.34
BOS @ MIL	4.9	0.8	0.71	1.1	0.64	1.8	0.7	0.47	0.18	0.46
BOS @ MIL	4.7	0.8	0.91	0.4	0.79	2.3	0.8	0.53	0.09	0.50
PHI @ CHI	4.6	1.1	0.75	0.3	0.55	1.5	1.4	0.38	0.11	0.81
NOP @ LAC	3.0	0.8	0.00	1.4	0.75	2.4	1.1	0.38	0.74	0.58
MIA @ SAC	4.7	0.6	1.08	0.3	0.31	1.5	0.9	0.53	0.31	0.52
UTA @ MIN	5.0	0.9	0.99	0.3	0.41	1.0	1.0	0.59	0.00	0.60
BKN @ DAL	4.6	0.5	1.13	0.3	0.18	1.6	1.1	0.41	0.12	0.79
PHI @ CHI	4.0	0.5	0.79	0.5	0.59	1.7	1.1	0.64	0.27	0.49
NOP @ LAC	4.5	1.2	0.48	0.7	0.40	0.9	1.0	0.31	0.00	0.65
MIA @ SAC	4.9	0.4	1.14	0.7	0.27	1.0	0.6	0.29	0.16	0.40
LAL @ DET	4.0	1.9	0.00	0.3	1.01	0.7	0.8	0.19	0.00	0.36
MIA @ SAC	3.3	0.6	0.48	0.6	0.49	1.7	0.9	0.34	0.31	0.45
BKN @ DAL	3.7	0.8	0.64	0.2	0.18	0.8	1.3	0.26	0.05	0.61
UTA @ MIN	3.0	0.6	0.52	0.3	0.78	1.1	0.9	0.57	0.09	0.50
BKN @ DAL	3.0	0.4	0.59	0.4	0.76	1.6	0.7	0.44	0.00	0.54
BKN @ DAL	2.5	0.3	0.55	0.3	0.54	1.4	1.3	0.54	0.30	0.55
PHI @ CHI	1.3	0.3	0.00	0.7	1.90	1.6	0.7	0.29	1.02	0.38
MIA @ SAC	3.4	0.6	0.67	0.2	0.39	0.9	0.4	0.25	0.07	0.21
NOP @ LAC	3.0	1.0	0.24	0.3	0.38	0.9	0.5	0.15	0.00	0.26
NOP @ LAC	1.5	0.4	0.07	0.4	0.43	1.7	0.7	0.28	0.63	0.52
MIA @ SAC	2.7	0.2	0.62	0.6	0.10	1.0	0.8	0.26	0.00	0.42
PHI @ CHI	3.1	0.8	0.37	0.4	0.19	0.6	0.5	0.15	0.00	0.35
BOS @ MIL	3.1	0.3	0.77	0.2	0.29	0.7	0.6	0.20	0.00	0.23
NOP @ LAC	2.9	0.8	0.29	0.4	0.29	0.6	0.4	0.21	0.00	0.31
LAL @ DET	2.3	0.9	0.00	0.5	0.73	0.8	0.3	0.17	0.22	0.24
PHI @ CHI	3.1	0.4	0.63	0.4	0.08	0.6	0.4	0.15	0.00	0.27
BOS @ MIL	2.5	0.4	0.49	0.2	0.32	0.8	0.7	0.24	0.00	0.34
LAL @ DET	3.2	0.5	0.63	0.2	0.09	0.2	0.4	0.15	0.00	0.23
LAL @ DET	0.8	0.3	0.00	0.2	0.75	1.9	0.7	0.26	0.24	0.40
LAL @ DET	2.6	0.7	0.27	0.4	0.14	0.4	0.5	0.15	0.00	0.30
LAL @ DET	2.0	0.0	0.47	0.6	0.24	1.1	0.5	0.29	0.00	0.33
BOS @ MIL	1.9	0.0	0.54	0.3	0.11	0.5	0.7	0.29	0.68	0.42
BOS @ MIL	2.6	0.2	0.64	0.3	0.23	0.5	0.5	0.19	0.00	0.27
NOP @ LAC	2.1	0.4	0.34	0.2	0.18	0.6	0.7	0.19	0.00	0.28
NOP @ LAC	2.0	0.5	0.12	0.6	0.15	0.5	0.6	0.34	0.10	0.27
BKN @ DAL	1.7	0.3	0.26	0.4	0.29	0.8	0.4	0.18	0.00	0.22
MIA @ SAC	2.4	0.1	0.66	0.2	0.07	0.4	0.3	0.11	0.20	0.15
MIA @ SAC	1.4	0.1	0.29	0.4	0.45	0.6	0.6	0.28	0.00	0.40
BKN @ DAL	0.6	0.0	0.00	0.6	0.26	1.0	1.2	0.27	0.00	0.42
UTA @ MIN	1.4	0.4	0.11	0.3	0.24	0.5	0.4	0.22	0.00	0.32
UTA @ MIN	1.6	0.7	0.00	0.2	0.15	0.5	0.3	0.09	0.00	0.18
LAL @ DET	1.0	0.1	0.17	0.2	0.33	0.5	0.4	0.14	0.37	0.22
UTA @ MIN	1.1	0.4	0.00	0.3	0.28	0.7	0.3	0.14	0.00	0.22
NOP @ LAC	1.0	0.4	0.00	0.2	0.09	0.4	0.3	0.08	0.73	0.18
PHI @ CHI	1.2	0.3	0.14	0.1	0.18	0.3	0.3	0.08	0.00	0.16
PHI @ CHI	1.2	0.5	0.00	0.1	0.22	0.3	0.2	0.07	0.00	0.10
LAL @ DET	0.6	0.2	0.00	0.2	0.26	0.8	0.2	0.11	0.00	0.13
NOP @ LAC	1.0	0.4	0.00	0.2	0.17	0.3	0.2	0.08	0.00	0.14
BKN @ DAL	0.9	0.3	0.00	0.2	0.25	0.5	0.1	0.06	0.00	0.09
BKN @ DAL	1.2	0.5	0.06	0.1	0.04	0.1	0.2	0.05	0.00	0.10
BKN @ DAL	1.0	0.2	0.20	0.1	0.14	0.2	0.2	0.06	0.00	0.07
LAL @ DET	0.8	0.2	0.07	0.1	0.15	0.2	0.3	0.09	0.00	0.16
LAL @ DET	0.9	0.0	0.17	0.3	0.03	0.3	0.2	0.08	0.00	0.12
BOS @ MIL	0.2	0.0	0.00	0.2	0.50	0.6	0.3	0.18	0.00	0.17
UTA @ MIN	0.9	0.0	0.27	0.1	0.05	0.3	0.2	0.08	0.00	0.12
UTA @ MIN	0.6	0.1	0.08	0.2	0.23	0.2	0.3	0.14	0.00	0.15
LAL @ DET	0.6	0.2	0.08	0.1	0.07	0.2	0.1	0.05	0.22	0.10
PHI @ CHI	0.2	0.0	0.00	0.2	0.11	0.5	0.3	0.11	0.00	0.15
MIA @ SAC	0.4	0.1	0.04	0.1	0.10	0.5	0.2	0.06	0.00	0.10
MIA @ SAC	0.3	0.0	0.00	0.3	0.07	0.3	0.2	0.06	0.11	0.11
LAL @ DET	0.2	0.0	0.00	0.2	0.09	0.2	0.2	0.09	0.00	0.13
LAL @ DET	0.1	0.0	0.00	0.1	0.04	0.2	0.1	0.04	0.41	0.06
LAL @ DET	0.4	0.0	0.11	0.1	0.04	0.1	0.1	0.04	0.00	0.06
PHI @ CHI	0.0	0.0	0.00	0.0	0.02	0.1	0.1	0.02	0.00	0.03

Games

Model vs line

Model vs market

Movement

How the numbers are built

Team comparison

Who is out

Conditions

Model vs line

Model vs market

Movement

How the numbers are built

Team comparison

Who is out

Conditions

Model vs line

Model vs market

Movement

How the numbers are built

Team comparison

Who is out

Conditions

Model vs line

Model vs market

Movement

How the numbers are built

Team comparison

Who is out

Conditions

Model vs line

Model vs market

Movement

How the numbers are built

Team comparison

Who is out

Conditions

Model vs line

Model vs market

Movement

How the numbers are built

Team comparison

Who is out

Conditions

Model vs line

Model vs market

Movement

How the numbers are built

Team comparison

Who is out

Conditions

Players

Points leaders