NBA predictions Fri, Nov 13

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

9 games on this slate · 23–8 since Nov 8 (model V6) →

Power rankings: every team's model rating →

‹

Updated 14m ago

Fri, Nov 13 · 7:00 PM ET

#7 Knicks

64.7% 111.0

#21 Pacers

35.3% 106.1

ModelMarket

Spread NYK -5.0 NYK -6.5

NYK win 64.7% 67.9%

Total 217.1 220.5

Biggest factor: Home court · IND +1.7 pts

Fri, Nov 13 · 7:00 PM ET

#29 Bucks

25.5% 105.7

#20 Magic

74.5% 114.5

ModelMarket

Spread ORL -8.8 ORL -9.5

ORL win 74.5% 76.5%

Total 220.3 222.5

Biggest factor: Home court · ORL +1.7 pts

Fri, Nov 13 · 8:00 PM ET

#13 Cavaliers

45.2% 114.5

#17 Heat

54.8% 116.1

ModelMarket

Spread MIA -1.6 MIA -2.5

MIA win 54.8% 53.2%

Total 230.6 236.5

Biggest factor: Injuries and absences · MIA +2.4 pts

Fri, Nov 13 · 8:00 PM ET

#14 Hawks

69.0% 123.0

#27 Bulls

31.0% 116.1

ModelMarket

Spread ATL -6.9 ATL -6.5

Total 239.1 246.5

Biggest factor: Home court · CHI +1.9 pts

Fri, Nov 13 · 8:00 PM ET

#11 Grizzlies

63.1% 118.1

#25 Pelicans

36.9% 113.5

ModelMarket

Spread MEM -4.6 MEM -3.5

MEM win 63.1% 60.3%

Total 231.6 234.5

Biggest factor: Home court · NOP +1.8 pts

Fri, Nov 13 · 8:30 PM ET

#30 Jazz

10.3% 102.5

#4 Rockets

89.7% 119.4

ModelMarket

Spread HOU -16.9 HOU -17.5

HOU win 89.7% 90.1%

Total 221.9 217.5

Biggest factor: Injuries and absences · HOU +2.7 pts

Fri, Nov 13 · 9:30 PM ET

#12 Warriors

25.3% 107.9

#1 Spurs

74.7% 116.9

ModelMarket

Spread SAS -8.9 SAS -13.5

SAS win 74.7% 80.4%

Total 224.8 218.5

Biggest factor: Injuries and absences · SAS +2.3 pts

Fri, Nov 13 · 10:00 PM ET

#8 Trail Blazers

76.4% 119.8

#28 Kings

23.6% 110.0

ModelMarket

Spread POR -9.8 POR -10.5

POR win 76.4% 81.5%

Total 229.8 229.5

Biggest factor: Home court · SAC +1.8 pts

Fri, Nov 13 · 10:30 PM ET

#9 Thunder

60.2% 112.9

#23 Clippers

39.8% 109.4

ModelMarket

Spread OKC -3.5 OKC -7.5

Total 222.2 221.5

Biggest factor: Home court · LAC +1.8 pts

	NYK	IND
Offensive ratingpts/100	116.27th of 30	111.124th of 30
Defensive ratingpts/100	111.66th of 30	114.219th of 30
Net ratingpts/100	4.67th of 30	-3.123rd of 30
Paceposs/48	95.930th of 30	100.66th of 30

	MIL	ORL
Offensive ratingpts/100	109.727th of 30	112.121st of 30
Defensive ratingpts/100	118.529th of 30	113.616th of 30
Net ratingpts/100	-8.730th of 30	-1.520th of 30
Paceposs/48	99.321st of 30	98.425th of 30

	CLE	MIA
Offensive ratingpts/100	116.08th of 30	113.218th of 30
Defensive ratingpts/100	114.018th of 30	113.817th of 30
Net ratingpts/100	1.911th of 30	-0.618th of 30
Paceposs/48	99.320th of 30	102.13rd of 30

	ATL	CHI
Offensive ratingpts/100	114.413th of 30	111.423rd of 30
Defensive ratingpts/100	113.312th of 30	119.030th of 30
Net ratingpts/100	1.114th of 30	-7.527th of 30
Paceposs/48	102.61st of 30	102.12nd of 30

	MEM	NOP
Offensive ratingpts/100	114.811th of 30	112.620th of 30
Defensive ratingpts/100	114.320th of 30	117.928th of 30
Net ratingpts/100	0.415th of 30	-5.325th of 30
Paceposs/48	100.013th of 30	100.84th of 30

	UTA	HOU
Offensive ratingpts/100	108.530th of 30	116.94th of 30
Defensive ratingpts/100	116.625th of 30	112.37th of 30
Net ratingpts/100	-8.129th of 30	4.66th of 30
Paceposs/48	100.75th of 30	97.627th of 30

	GSW	SAS
Offensive ratingpts/100	116.36th of 30	118.02nd of 30
Defensive ratingpts/100	112.911th of 30	109.71st of 30
Net ratingpts/100	3.59th of 30	8.31st of 30
Paceposs/48	99.616th of 30	99.123rd of 30

	POR	SAC
Offensive ratingpts/100	115.99th of 30	109.926th of 30
Defensive ratingpts/100	113.413th of 30	117.827th of 30
Net ratingpts/100	2.510th of 30	-7.928th of 30
Paceposs/48	100.67th of 30	100.39th of 30

	OKC	LAC
Offensive ratingpts/100	114.116th of 30	112.819th of 30
Defensive ratingpts/100	110.14th of 30	115.021st of 30
Net ratingpts/100	4.08th of 30	-2.121st of 30
Paceposs/48	99.122nd of 30	100.211th of 30

Points leaders

Shai Gilgeous-Alexander28.5 pts
Ty Jerome25.6 pts
Darius Acuff Jr.25.3 pts
Victor Wembanyama25.1 pts
Giannis Antetokounmpo25.0 pts

Rank by


CLE @ MIA	25.0	8.8	0.75	5.0	3.04	7.8	4.6	0.86	0.81	2.76
GSW @ SAS	25.1	7.3	1.76	5.2	2.15	7.6	2.6	0.99	3.67	1.95
UTA @ HOU	22.1	7.7	0.83	4.2	3.21	7.0	7.2	1.32	1.09	3.09
OKC @ LAC	28.5	8.0	2.14	6.1	0.58	3.4	4.5	0.99	0.86	2.20
POR @ SAC	23.7	5.7	2.06	6.2	1.00	4.8	6.4	1.22	0.30	2.97
POR @ SAC	25.3	6.3	3.00	3.6	0.47	2.7	6.7	1.10	0.06	3.40
MEM @ NOP	25.6	6.3	2.67	5.0	0.85	2.8	4.8	0.88	0.28	2.63
UTA @ HOU	21.9	5.5	1.41	6.7	0.61	5.4	3.4	0.89	1.21	2.84
GSW @ SAS	22.3	5.2	2.32	5.0	2.21	4.4	3.7	1.05	0.52	2.96
MIL @ ORL	21.6	6.5	1.47	4.3	0.91	4.3	6.4	1.15	0.00	2.94
CLE @ MIA	21.7	4.9	2.53	4.3	0.53	4.1	5.6	1.21	0.44	2.87
MEM @ NOP	18.4	4.0	2.17	3.8	1.78	7.5	5.4	0.73	0.75	3.26
ATL @ CHI	18.9	5.5	1.27	4.0	0.93	6.4	6.2	1.00	0.47	2.61
UTA @ HOU	20.5	4.8	1.97	5.0	0.47	3.4	6.1	1.01	0.15	3.37
NYK @ IND	23.5	5.9	2.31	4.7	0.63	2.6	4.3	0.69	0.29	1.62
MEM @ NOP	19.9	6.7	0.22	5.8	1.63	3.4	2.8	1.63	0.56	1.73
NYK @ IND	17.3	4.4	1.66	3.6	2.48	8.2	3.0	0.75	0.53	2.36
CLE @ MIA	17.3	5.2	0.94	4.1	2.22	5.3	3.2	1.65	0.67	1.61
MIL @ ORL	19.1	4.2	2.53	3.2	0.86	3.2	4.4	0.90	0.19	2.07
POR @ SAC	19.5	2.9	2.89	5.0	0.52	2.7	4.1	0.90	0.08	1.99
CLE @ MIA	16.5	2.5	2.46	4.2	0.52	4.1	5.6	0.87	0.45	2.74
GSW @ SAS	18.6	3.4	3.14	2.3	1.12	3.9	4.2	1.19	0.42	1.55
MEM @ NOP	16.7	5.2	1.40	2.2	1.17	3.6	5.2	1.01	0.43	2.79
ATL @ CHI	20.5	3.2	3.58	3.4	1.07	2.4	2.4	1.21	0.30	1.64
UTA @ HOU	15.9	5.9	0.27	3.3	2.99	4.0	2.9	1.29	0.67	1.76
UTA @ HOU	17.8	4.2	2.25	2.6	1.33	2.9	4.1	1.19	0.65	1.95
NYK @ IND	17.5	4.9	1.50	3.3	1.06	4.5	3.5	0.82	0.12	1.71
UTA @ HOU	16.9	3.3	2.63	2.4	1.77	5.6	2.2	1.11	1.12	1.30
OKC @ LAC	17.2	3.9	2.07	3.2	0.42	1.7	5.4	0.62	0.00	3.64
MIL @ ORL	15.8	3.7	1.66	3.4	1.05	3.8	4.6	1.38	0.67	2.04
OKC @ LAC	17.8	6.1	1.00	2.7	0.83	2.9	3.4	1.16	0.30	1.62
CLE @ MIA	14.9	3.5	2.04	1.8	0.54	1.9	7.6	1.14	0.45	2.36
POR @ SAC	17.9	3.5	2.29	3.9	0.45	2.3	2.3	0.97	0.24	2.34
GSW @ SAS	15.7	5.0	1.04	2.6	0.88	3.6	4.3	0.94	0.18	1.55
ATL @ CHI	17.8	3.0	2.04	5.7	0.37	2.0	1.6	1.24	0.00	1.57
POR @ SAC	9.8	3.5	0.19	2.2	2.89	6.8	4.8	0.83	0.06	2.65
NYK @ IND	15.2	2.3	2.06	4.3	1.33	3.1	2.1	0.94	0.47	1.57
MEM @ NOP	15.6	3.3	1.93	3.2	0.93	2.8	2.5	0.87	0.16	1.14
GSW @ SAS	13.4	3.6	1.72	1.2	1.23	3.5	4.5	0.87	0.23	2.13
UTA @ HOU	14.0	3.7	1.96	0.8	1.65	4.3	2.1	0.91	1.15	1.74
MEM @ NOP	13.1	3.9	0.97	2.4	0.63	3.6	4.1	1.19	0.39	2.00
UTA @ HOU	13.9	1.8	2.90	1.7	0.60	3.3	5.0	1.35	0.17	1.58
MEM @ NOP	12.4	2.7	1.97	1.2	1.54	6.3	2.8	1.30	0.28	1.65
ATL @ CHI	10.7	2.9	1.15	1.4	0.76	3.8	7.2	0.72	0.26	3.10
MIL @ ORL	15.8	2.1	3.18	2.1	0.55	2.9	2.1	0.84	0.53	1.60
POR @ SAC	10.0	2.9	0.92	1.4	3.48	6.6	1.9	0.64	2.05	1.49
GSW @ SAS	11.8	2.9	0.97	3.0	0.57	3.2	5.2	1.09	0.42	2.16
ATL @ CHI	13.6	2.6	1.74	3.3	0.79	3.7	2.0	0.67	0.53	2.39
NYK @ IND	13.1	2.8	1.68	2.4	0.32	2.0	6.1	0.59	0.25	1.92
MIL @ ORL	13.7	3.5	1.45	2.4	1.46	3.2	2.6	0.74	0.09	1.66
ATL @ CHI	12.4	3.1	1.49	1.7	2.01	4.8	2.6	0.89	0.67	1.08
CLE @ MIA	12.7	3.4	1.38	1.8	1.09	3.2	2.9	0.81	1.60	1.51
ATL @ CHI	9.7	3.7	0.40	1.1	2.85	3.7	4.8	2.15	0.30	1.21
OKC @ LAC	13.9	2.9	2.18	1.7	0.84	3.2	2.3	1.00	0.27	1.73
OKC @ LAC	8.6	3.6	0.06	1.2	2.81	6.3	3.9	1.13	0.36	1.87
CLE @ MIA	10.8	3.9	0.15	2.5	2.02	5.3	1.7	0.67	1.11	1.00
OKC @ LAC	13.6	3.1	1.90	1.7	0.79	4.2	1.6	0.82	0.10	1.38
POR @ SAC	12.3	1.8	2.24	2.1	0.92	2.6	4.0	1.02	0.14	1.55
POR @ SAC	13.2	2.5	1.98	2.2	0.94	3.9	1.5	0.57	0.07	1.33
OKC @ LAC	9.5	4.0	0.03	1.4	2.68	4.5	1.9	0.46	1.95	1.67
MEM @ NOP	10.4	3.1	0.27	3.4	1.01	4.5	2.1	0.71	0.66	1.65
ATL @ CHI	11.2	2.2	1.85	1.2	1.68	4.8	1.9	0.58	1.19	1.02
MIL @ ORL	10.0	2.7	0.69	2.5	1.91	5.5	1.2	0.82	0.87	1.11
ATL @ CHI	12.6	3.2	1.55	1.5	0.53	1.6	3.2	0.82	0.50	1.56
UTA @ HOU	11.4	3.1	1.30	1.3	1.74	3.7	1.3	1.05	0.99	1.17
POR @ SAC	12.6	1.6	2.71	1.3	1.34	3.0	1.8	0.93	0.37	1.21
MIL @ ORL	10.7	2.4	1.22	2.3	2.07	3.1	2.6	0.75	0.16	1.34
GSW @ SAS	11.1	1.3	2.25	1.8	1.03	3.3	2.5	1.07	0.37	1.45
OKC @ LAC	11.3	3.4	0.99	1.7	1.10	4.2	1.1	0.48	0.98	0.97
CLE @ MIA	13.8	1.2	3.58	0.7	0.19	2.2	2.0	0.46	0.78	1.05
ATL @ CHI	13.0	2.5	2.48	0.6	0.55	2.6	2.1	0.80	0.26	1.07
CLE @ MIA	12.7	2.7	2.26	0.5	0.92	2.5	1.6	1.02	0.34	1.14
OKC @ LAC	11.1	1.5	1.44	3.8	0.47	2.4	2.6	0.59	0.20	1.42
MIL @ ORL	13.0	1.8	3.00	0.4	1.09	2.3	1.6	0.57	0.38	1.03
MIL @ ORL	9.4	2.9	0.87	1.1	0.75	2.7	4.2	1.20	0.33	1.83
ATL @ CHI	10.9	3.4	0.38	2.8	0.76	1.5	2.8	0.91	0.09	1.36
UTA @ HOU	8.3	3.1	0.02	2.0	1.89	4.4	1.8	0.97	1.05	1.40
CLE @ MIA	9.8	1.9	1.03	2.9	1.00	2.5	3.0	1.00	0.06	1.51
MIL @ ORL	9.6	2.3	1.38	0.9	1.01	2.8	3.6	0.70	0.28	1.84
GSW @ SAS	10.5	2.2	1.37	1.9	0.62	2.6	2.5	1.21	0.25	1.05
NYK @ IND	8.2	3.3	0.00	1.7	2.45	4.2	1.3	0.37	0.59	1.18
MEM @ NOP	10.1	1.6	1.25	3.1	0.50	1.3	2.7	0.78	0.67	1.26
MIL @ ORL	7.4	1.5	1.33	0.5	1.29	4.2	2.5	0.67	2.19	1.55
POR @ SAC	10.5	2.8	0.98	1.8	0.77	2.0	1.2	0.87	1.15	0.80
GSW @ SAS	8.7	2.9	0.41	1.7	2.18	2.8	2.3	0.74	0.00	1.20
MEM @ NOP	10.9	1.6	2.06	1.5	0.95	2.2	1.4	0.91	0.19	0.87
POR @ SAC	8.8	3.3	0.42	1.1	1.78	3.4	1.1	0.97	0.83	0.98
NYK @ IND	10.6	1.8	1.68	1.9	0.65	2.1	1.7	0.69	0.33	1.19
MIL @ ORL	9.2	1.8	1.55	0.9	0.99	3.0	2.4	0.92	0.42	1.37
POR @ SAC	10.3	2.1	1.30	2.3	0.77	1.5	1.7	0.66	0.09	1.79
MEM @ NOP	10.3	2.5	1.32	1.4	0.80	1.4	1.9	0.60	1.05	1.13
NYK @ IND	7.6	1.3	1.46	0.5	0.86	4.8	2.9	1.24	0.19	1.40
MIL @ ORL	8.3	2.4	0.67	1.4	2.22	3.3	1.0	0.53	1.08	1.20
MEM @ NOP	8.0	1.6	1.38	0.7	0.73	2.3	4.6	0.74	0.18	1.67
GSW @ SAS	4.2	1.3	0.37	0.6	1.07	3.8	6.7	0.85	0.62	2.46
OKC @ LAC	9.8	1.1	2.27	0.7	1.24	2.1	3.0	0.54	0.00	0.97
GSW @ SAS	8.0	2.9	0.10	1.9	1.86	4.0	0.9	0.34	0.87	0.73
OKC @ LAC	8.9	2.0	1.32	1.0	1.36	2.7	1.4	0.83	0.94	0.98
OKC @ LAC	9.3	1.5	1.62	1.5	0.59	2.5	2.3	0.77	0.09	1.38
ATL @ CHI	7.2	2.4	0.00	2.4	1.23	3.8	1.7	0.50	1.26	0.84
UTA @ HOU	10.4	1.3	2.43	0.5	0.35	1.7	2.1	1.05	0.00	1.10
ATL @ CHI	7.8	2.5	0.67	0.8	0.74	1.8	3.9	0.73	0.31	1.79
POR @ SAC	5.9	2.3	0.00	1.4	2.56	4.2	1.7	0.82	1.08	1.05
OKC @ LAC	6.9	1.8	0.71	1.2	0.60	3.1	3.2	1.28	0.42	1.36
MEM @ NOP	8.4	1.5	1.31	1.5	0.59	1.7	3.1	0.50	0.52	1.07
MEM @ NOP	8.5	2.6	0.69	1.2	1.59	2.7	1.0	0.48	0.70	0.78
NYK @ IND	8.8	2.3	1.07	1.1	1.06	2.2	1.4	0.58	1.04	0.74
CLE @ MIA	8.4	1.6	1.54	0.6	0.95	2.3	2.6	0.62	0.42	1.19
POR @ SAC	8.4	1.0	1.45	2.0	1.11	2.1	2.1	0.69	0.32	0.79
OKC @ LAC	6.8	0.6	1.45	1.2	0.84	3.6	2.9	0.89	0.43	1.10
GSW @ SAS	8.8	1.9	1.46	0.7	1.01	2.4	1.6	0.61	0.16	1.10
UTA @ HOU	7.0	2.0	0.37	1.9	0.44	2.2	3.5	0.44	0.00	1.73
UTA @ HOU	9.0	1.7	1.45	1.2	0.70	2.2	1.4	0.56	0.24	1.11
OKC @ LAC	6.5	2.7	0.03	0.9	1.95	3.3	1.6	0.74	0.61	1.23
ATL @ CHI	8.8	1.4	1.57	1.2	1.02	2.3	1.5	0.78	0.24	0.64
GSW @ SAS	8.7	0.4	2.39	0.7	0.46	3.1	1.5	0.93	0.36	0.83
MEM @ NOP	7.4	1.4	1.25	0.7	0.94	4.0	1.5	0.71	0.43	1.12
CLE @ MIA	9.3	1.5	1.34	2.2	1.18	1.6	0.8	0.39	0.35	0.61
CLE @ MIA	7.6	1.6	1.17	0.9	0.65	3.1	2.7	0.64	0.00	0.83
POR @ SAC	6.4	2.7	0.00	1.1	1.80	3.4	1.1	0.67	1.03	0.83
OKC @ LAC	8.9	1.3	1.74	1.0	0.30	1.8	1.7	0.86	0.18	0.95
NYK @ IND	7.4	1.8	0.84	1.4	0.48	2.3	2.3	0.88	0.21	1.01
ATL @ CHI	7.0	1.6	0.92	1.0	0.74	2.4	2.3	0.75	0.62	0.91
CLE @ MIA	7.1	1.7	1.10	0.5	1.08	3.4	1.5	0.56	0.42	0.84
UTA @ HOU	5.5	2.1	0.00	1.3	2.28	3.5	0.9	0.46	1.41	0.66
NYK @ IND	8.4	1.9	1.19	1.1	0.62	2.2	1.3	0.35	0.15	0.72
NYK @ IND	8.4	1.0	1.83	1.0	0.56	1.7	1.9	0.49	0.13	0.89
NYK @ IND	9.7	0.5	2.64	0.8	0.52	1.5	1.1	0.36	0.00	0.53
MEM @ NOP	7.1	2.0	0.86	0.4	0.60	2.5	1.4	0.87	0.49	1.17
CLE @ MIA	7.8	1.9	1.20	0.5	0.90	1.8	1.3	0.52	0.60	0.86
OKC @ LAC	7.4	1.2	1.33	0.9	0.99	2.7	1.5	0.42	0.16	0.66
MIL @ ORL	7.2	1.8	0.87	1.0	0.87	2.1	0.8	0.61	0.35	0.80
CLE @ MIA	6.1	1.2	1.13	0.5	0.62	4.0	1.4	0.55	0.27	0.74
OKC @ LAC	7.5	2.2	0.71	1.0	0.76	1.9	0.8	0.51	0.22	0.67
MIL @ ORL	7.3	1.1	1.32	1.1	0.56	2.7	0.7	0.55	0.08	0.83
MIL @ ORL	7.0	1.7	0.98	0.6	0.60	1.4	2.0	0.62	0.71	0.69
CLE @ MIA	7.2	1.0	1.49	0.8	0.68	2.0	1.7	0.65	0.00	0.71
NYK @ IND	7.4	0.8	1.82	0.5	0.62	1.8	1.3	0.73	0.33	0.60
GSW @ SAS	5.8	0.9	1.24	0.2	0.57	2.9	2.0	0.49	0.84	0.76
POR @ SAC	6.7	1.5	0.82	1.2	0.23	0.8	2.6	0.44	0.04	1.19
NYK @ IND	4.4	1.8	0.02	0.7	2.12	3.6	1.2	0.34	0.45	0.64
ATL @ CHI	6.2	1.1	0.65	2.0	0.91	1.4	1.3	0.59	0.29	0.73
GSW @ SAS	5.8	1.3	0.63	1.4	0.82	2.2	1.3	0.44	0.45	0.82
MEM @ NOP	6.2	1.4	0.79	1.0	0.55	2.3	1.0	0.38	0.56	0.97
NYK @ IND	6.1	1.8	0.71	0.3	0.68	1.6	1.6	0.67	0.47	0.80
GSW @ SAS	7.9	1.0	1.77	0.6	0.24	0.6	1.6	0.27	0.00	0.62
ATL @ CHI	7.1	1.1	1.42	0.6	0.16	1.9	0.9	0.50	0.24	0.60
UTA @ HOU	5.0	0.9	0.60	1.4	1.05	2.6	1.2	0.62	0.11	0.92
ATL @ CHI	5.9	1.2	0.70	1.3	1.05	1.8	0.8	0.46	0.30	0.66
MEM @ NOP	7.1	1.6	1.07	0.7	1.14	0.6	0.7	0.22	0.00	0.35
POR @ SAC	4.8	0.4	1.23	0.4	0.78	2.2	1.5	1.02	0.55	0.45
OKC @ LAC	3.9	1.0	0.18	1.5	0.74	2.4	1.1	0.43	1.01	0.77
GSW @ SAS	6.0	1.9	0.64	0.3	0.87	1.4	0.7	0.55	0.00	0.67
NYK @ IND	4.8	0.8	0.84	0.6	0.59	2.3	1.1	0.36	0.35	0.80
ATL @ CHI	4.2	1.0	0.49	0.8	1.13	2.2	1.4	0.28	0.30	0.79
ATL @ CHI	7.0	1.3	1.31	0.4	0.13	1.0	0.7	0.32	0.00	0.37
MIL @ ORL	5.9	0.7	1.34	0.6	0.34	1.4	1.2	0.41	0.00	0.49
MIL @ ORL	4.6	1.0	0.49	1.2	0.40	1.2	2.1	0.41	0.03	1.03
GSW @ SAS	5.3	1.2	0.76	0.6	0.89	1.1	1.0	0.51	0.18	0.58
UTA @ HOU	4.7	0.8	0.78	0.7	1.08	1.4	1.3	0.63	0.07	0.64
GSW @ SAS	3.6	1.4	0.00	0.9	1.83	2.1	1.0	0.29	0.48	0.54
MIL @ ORL	4.0	1.3	0.00	1.4	1.07	2.3	0.7	0.33	0.63	0.34
NYK @ IND	4.5	0.8	0.74	0.7	0.54	2.4	0.8	0.26	0.54	0.56
CLE @ MIA	5.2	0.7	1.15	0.4	0.67	2.1	0.7	0.35	0.00	0.45
NYK @ IND	4.2	1.9	0.00	0.4	0.26	1.1	2.3	0.33	0.41	0.85
POR @ SAC	6.0	1.7	0.76	0.4	0.46	0.4	0.8	0.47	0.00	0.53
NYK @ IND	5.3	1.9	0.39	0.4	1.01	0.9	0.7	0.32	0.26	0.41
UTA @ HOU	5.3	1.1	0.97	0.2	0.35	1.0	1.2	0.64	0.00	0.63
GSW @ SAS	5.6	0.5	1.14	1.2	0.59	0.9	0.4	0.36	0.18	0.44
NYK @ IND	3.5	0.8	0.54	0.3	0.45	1.0	3.5	0.43	0.11	0.70
ATL @ CHI	4.7	1.1	0.76	0.3	0.50	1.2	1.3	0.43	0.12	0.79
MEM @ NOP	2.2	0.4	0.00	1.3	1.03	3.1	1.0	0.43	1.09	0.54
OKC @ LAC	4.3	1.1	0.56	0.5	1.35	1.8	0.5	0.63	0.12	0.38
NYK @ IND	3.1	0.7	0.27	1.0	0.76	1.9	0.9	0.53	0.69	0.64
MEM @ NOP	4.4	0.5	0.83	0.9	0.45	1.9	0.6	0.31	0.17	0.44
ATL @ CHI	3.9	0.8	0.57	0.5	0.76	1.6	0.8	0.30	0.37	0.66
POR @ SAC	4.6	0.6	1.04	0.2	0.28	1.3	0.7	0.63	0.14	0.48
ATL @ CHI	3.0	0.8	0.32	0.4	1.06	1.9	1.0	0.36	0.51	0.50
UTA @ HOU	3.9	1.2	0.26	0.6	0.65	1.3	0.8	0.39	0.00	0.70
GSW @ SAS	4.4	0.5	1.02	0.4	0.42	1.0	0.9	0.34	0.19	0.56
NYK @ IND	3.5	0.4	0.69	0.6	0.54	1.4	1.4	0.30	0.19	0.59
MIL @ ORL	4.3	0.3	1.17	0.2	0.24	0.7	1.5	0.51	0.00	0.50
ATL @ CHI	4.2	1.0	0.63	0.4	0.18	1.0	0.7	0.23	0.82	0.28
MIL @ ORL	3.1	0.6	0.52	0.3	0.67	1.8	1.1	0.22	0.39	0.41
POR @ SAC	2.6	0.3	0.33	0.9	0.65	2.1	0.7	0.35	0.25	0.59
MIL @ ORL	3.7	0.2	1.05	0.2	0.37	1.2	1.0	0.29	0.14	0.53
CLE @ MIA	3.1	0.6	0.46	0.6	0.48	1.7	0.9	0.30	0.26	0.43
OKC @ LAC	3.2	0.8	0.52	0.2	0.32	1.4	1.3	0.36	0.00	0.64
NYK @ IND	2.6	0.8	0.19	0.4	0.11	0.8	2.0	0.58	0.24	0.88
CLE @ MIA	4.2	0.4	0.89	0.6	0.22	0.9	0.5	0.22	0.11	0.36
ATL @ CHI	2.9	0.7	0.34	0.5	0.48	1.2	1.1	0.37	0.00	0.76
MIL @ ORL	2.5	0.6	0.33	0.3	0.86	2.0	0.8	0.46	0.00	0.43
NYK @ IND	3.1	0.4	0.64	0.4	0.46	1.4	0.5	0.47	0.13	0.42
ATL @ CHI	3.9	0.5	0.83	0.4	0.31	0.4	0.8	0.22	0.08	0.45
ATL @ CHI	3.2	0.9	0.39	0.2	0.41	1.4	0.7	0.27	0.00	0.39
GSW @ SAS	3.0	0.8	0.30	0.6	0.97	0.9	0.7	0.23	0.10	0.32
CLE @ MIA	1.6	0.4	0.17	0.3	0.75	1.4	1.6	0.42	0.30	0.77
UTA @ HOU	3.2	0.4	0.64	0.4	0.17	1.1	0.7	0.31	0.00	0.45
POR @ SAC	2.6	0.7	0.32	0.2	0.33	1.4	0.6	0.25	0.57	0.42
GSW @ SAS	3.0	1.0	0.17	0.4	0.42	0.4	1.0	0.32	0.00	0.55
MEM @ NOP	2.4	0.9	0.11	0.2	0.27	0.9	0.9	0.24	0.45	0.41
OKC @ LAC	2.7	0.6	0.41	0.2	0.21	1.2	0.6	0.43	0.16	0.41
NYK @ IND	2.4	0.4	0.44	0.2	0.06	0.9	1.2	0.31	0.19	0.75
POR @ SAC	2.7	0.3	0.49	0.6	0.35	1.1	0.5	0.24	0.09	0.38
MEM @ NOP	2.8	1.1	0.12	0.2	0.19	1.2	0.6	0.16	0.00	0.30
MEM @ NOP	2.2	0.1	0.54	0.3	0.67	0.7	0.6	0.33	0.59	0.29
NYK @ IND	3.1	0.7	0.45	0.3	0.26	0.7	0.4	0.16	0.00	0.23
CLE @ MIA	2.6	0.2	0.58	0.5	0.10	1.0	0.8	0.23	0.00	0.40
CLE @ MIA	3.0	0.2	0.74	0.4	0.07	0.5	0.3	0.13	0.17	0.19
POR @ SAC	2.8	0.0	0.72	0.6	0.14	0.7	0.5	0.16	0.00	0.25
NYK @ IND	2.0	0.2	0.49	0.2	0.18	1.3	0.6	0.23	0.16	0.32
GSW @ SAS	1.7	0.7	0.00	0.3	0.68	1.2	0.4	0.15	0.15	0.36
UTA @ HOU	1.5	0.4	0.00	0.6	0.46	1.4	0.4	0.25	0.10	0.29
MIL @ ORL	2.7	0.2	0.73	0.2	0.13	0.5	0.4	0.19	0.00	0.25
NYK @ IND	1.4	0.6	0.00	0.2	0.80	1.1	0.3	0.18	0.49	0.26
MIL @ ORL	2.4	0.5	0.31	0.5	0.24	0.7	0.5	0.14	0.00	0.23
POR @ SAC	2.4	0.3	0.53	0.2	0.30	0.7	0.3	0.23	0.03	0.17
MEM @ NOP	1.5	0.5	0.00	0.5	0.75	0.5	0.4	0.22	0.47	0.20
CLE @ MIA	0.8	0.0	0.13	0.4	0.56	1.4	0.9	0.26	0.00	0.34
OKC @ LAC	1.3	0.4	0.02	0.5	0.32	0.7	0.7	0.22	0.12	0.25
GSW @ SAS	2.0	0.7	0.13	0.3	0.18	0.4	0.3	0.15	0.00	0.24
GSW @ SAS	2.6	0.4	0.53	0.1	0.07	0.2	0.2	0.07	0.00	0.14
MIL @ ORL	0.8	0.3	0.03	0.2	0.74	1.0	0.6	0.29	0.11	0.37
OKC @ LAC	1.6	0.4	0.23	0.2	0.18	0.5	0.6	0.18	0.00	0.26
GSW @ SAS	1.1	0.3	0.13	0.2	0.23	1.0	0.3	0.18	0.50	0.23
OKC @ LAC	1.7	0.5	0.17	0.3	0.21	0.4	0.3	0.15	0.00	0.22
UTA @ HOU	1.3	0.5	0.00	0.3	0.40	0.8	0.3	0.14	0.07	0.17
CLE @ MIA	0.9	0.1	0.03	0.7	0.29	0.6	0.4	0.12	0.18	0.23
MIL @ ORL	0.8	0.3	0.00	0.2	0.17	0.3	0.2	0.07	0.08	0.10
UTA @ HOU	0.8	0.0	0.21	0.1	0.08	0.3	0.2	0.12	0.37	0.12
ATL @ CHI	0.8	0.0	0.23	0.2	0.07	0.4	0.3	0.11	0.00	0.14
UTA @ HOU	0.7	0.2	0.09	0.1	0.25	0.3	0.2	0.10	0.00	0.11
MIL @ ORL	0.4	0.1	0.00	0.2	0.23	0.5	0.3	0.14	0.00	0.15
UTA @ HOU	0.9	0.3	0.10	0.1	0.07	0.2	0.2	0.10	0.00	0.14
CLE @ MIA	0.3	0.1	0.03	0.1	0.10	0.5	0.2	0.05	0.00	0.09
NYK @ IND	0.1	0.0	0.00	0.1	0.04	0.1	0.1	0.03	0.00	0.05

Games

Model vs market

Movement

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

Movement

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

Players

Points leaders