NBA predictions Sun, Oct 25

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

7 games on this slate · model went 6–1 · 29–14 last 30 days →

‹ ›

Updated 1d ago

✓ Favorite won Final · Sun, Oct 25

Lakers

132 62.2% · proj 119.7

Jazz

123 37.8% · proj 115.5

ModelMarket

Spread LAL -4.3 LAL -6.5

LAL win 62.2% 68.1%

Total 235.2 237.5

Our bet UTA +6.5 ✗ Didn't cover

Set at line LAL -6.5 · model LAL -4.3

✓ Favorite won Final · Sun, Oct 25

Pacers

136 51.4% · proj 115.4

Nets

109 48.6% · proj 114.9

ModelMarket

Spread IND -0.5 IND -6.5

IND win 51.4% 70.0%

Total 230.3 231.5

Our bet BKN +6.5 ✗ Didn't cover

Set at line IND -6.5 · model IND -0.5

✗ Favorite lost Final · Sun, Oct 25

Magic

111 37.7% · proj 111.0

Knicks

102 62.3% · proj 115.2

ModelMarket

Spread NYK -4.2 NYK -6.5

NYK win 62.3% 71.8%

Total 226.1 224.5

Our bet ORL +7.5 ✓ Covered

Set at line NYK -7.5 · model NYK -4.2

✓ Favorite won Final · Sun, Oct 25

Raptors

94 45.2% · proj 114.1

Timberwolves

117 54.8% · proj 115.8

ModelMarket

Spread MIN -1.7 MIN -3.5

MIN win 54.8% 51.1%

Total 229.9 228.5

Our bet MIN -1.5 ✓ Covered

Set at line MIN -1.5 · model MIN -1.7

✓ Favorite won Final · Sun, Oct 25

Clippers

101 35.6% · proj 109.1

Thunder

108 64.4% · proj 114.1

ModelMarket

Spread OKC -5.0 OKC -15.5

OKC win 64.4% 89.3%

Total 223.3 223.5

Our bet LAC +15.5 ✓ Covered

Set at line OKC -15.5 · model OKC -5.0

✓ Favorite won Final · Sun, Oct 25

Pistons

106 74.8% · proj 120.3

76ers

93 25.2% · proj 111.0

ModelMarket

Spread DET -9.3 DET -1.5

DET win 74.8% 51.7%

Total 231.3 228.5

Our bet DET -1.5 ✓ Covered

Set at line DET -1.5 · model DET -4.8

✓ Favorite won Final · Sun, Oct 25

Grizzlies

123 59.1% · proj 117.7

Kings

112 40.9% · proj 114.5

ModelMarket

Spread MEM -3.2 MEM -3.5

MEM win 59.1% 60.0%

Total 232.2 234.5

Our bet SAC +3.5 ✗ Didn't cover

Set at line MEM -3.5 · model MEM -3.2

Points leaders

Darius Acuff Jr.33.0 pts
Ty Jerome30.3 pts
Scottie Barnes30.3 pts
Tyrese Maxey29.5 pts
Anthony Edwards28.6 pts

Rank by


TOR @ MIN	30.3	10.7	1.68	3.9	3.27	6.0	5.0	1.23	0.83	3.46
MEM @ SAC	33.0	8.8	3.15	6.0	0.62	2.1	4.5	1.46	0.00	3.30
DET @ PHI	29.5	7.4	3.05	5.5	0.59	3.3	5.3	1.48	0.98	2.92
MEM @ SAC	30.3	9.0	2.76	4.1	1.29	3.7	5.3	0.99	0.40	2.38
LAL @ UTA	26.7	5.0	3.66	5.7	0.36	7.3	5.2	1.16	0.36	2.89
TOR @ MIN	28.6	6.3	4.35	3.0	0.91	5.0	3.7	1.53	0.81	2.79
ORL @ NYK	25.9	7.9	1.57	5.3	0.93	3.5	4.9	1.04	0.90	2.96
IND @ BKN	22.5	5.8	1.59	6.2	0.95	7.7	5.4	0.91	0.85	2.56
DET @ PHI	22.0	5.6	1.94	4.9	0.69	4.1	7.6	1.35	1.77	4.53
MEM @ SAC	25.3	5.0	3.22	5.6	0.82	4.5	3.3	1.35	2.56	2.50
ORL @ NYK	24.8	6.5	2.80	3.5	0.87	5.1	5.6	1.13	0.00	3.26
MEM @ SAC	15.3	5.1	0.19	4.5	3.26	10.8	8.4	1.19	0.00	3.64
LAC @ OKC	25.9	7.1	3.13	2.4	0.96	3.7	4.1	1.37	1.08	2.04
DET @ PHI	22.8	7.4	1.68	2.9	0.85	6.2	4.7	1.41	0.34	2.50
MEM @ SAC	19.9	4.0	2.32	5.0	2.21	7.0	5.3	1.22	0.00	2.62
LAC @ OKC	24.2	5.4	3.10	4.1	0.85	2.4	4.6	1.04	0.00	3.60
TOR @ MIN	22.4	6.9	1.48	4.1	1.81	4.8	3.7	0.92	0.43	1.73
DET @ PHI	19.6	5.6	1.27	4.6	0.81	5.5	5.6	1.40	1.07	2.86
ORL @ NYK	17.6	4.6	1.58	3.6	2.37	8.4	3.2	1.08	1.17	2.63
IND @ BKN	21.8	6.9	1.42	3.7	1.19	5.5	2.3	0.92	0.00	1.81
IND @ BKN	23.0	5.0	3.53	2.3	0.68	4.5	2.6	1.70	0.00	2.09
LAL @ UTA	19.5	4.6	1.45	6.0	0.70	3.3	4.9	1.32	0.41	2.61
LAL @ UTA	18.1	7.7	0.00	2.7	2.17	5.2	2.4	1.13	2.99	1.71
LAL @ UTA	18.6	4.8	1.55	4.3	1.32	5.5	3.0	1.07	1.36	2.30
IND @ BKN	19.3	5.8	1.62	2.7	0.34	2.0	7.0	1.07	0.92	2.69
ORL @ NYK	18.3	2.4	2.81	5.1	2.14	4.5	4.2	1.10	0.45	1.97
TOR @ MIN	20.0	3.8	2.78	4.1	0.85	2.6	5.5	1.12	0.00	1.80
LAL @ UTA	18.4	2.8	2.96	4.0	0.65	6.4	3.5	1.16	0.25	2.13
LAL @ UTA	18.2	3.2	2.54	4.2	1.04	3.0	4.5	1.19	0.00	2.13
LAC @ OKC	18.9	6.0	1.39	2.8	0.55	3.7	3.4	1.02	0.29	1.77
DET @ PHI	20.0	1.0	4.53	4.4	0.65	3.2	2.6	1.34	0.00	1.70
LAC @ OKC	12.7	4.0	0.34	3.7	4.78	4.7	2.6	0.94	2.22	1.66
ORL @ NYK	14.7	3.0	2.34	1.6	1.43	6.1	4.6	1.55	0.49	1.84
ORL @ NYK	14.4	4.4	1.21	2.0	1.11	3.7	6.1	1.32	0.68	2.63
ORL @ NYK	15.1	3.9	1.48	2.8	2.04	6.3	1.9	0.96	1.44	1.28
DET @ PHI	16.0	4.5	2.10	0.7	1.86	6.3	2.2	1.08	0.44	1.47
LAC @ OKC	16.3	3.5	2.22	2.8	1.74	4.5	2.2	1.09	0.53	1.76
ORL @ NYK	17.9	2.0	3.66	2.9	0.41	4.1	2.4	1.31	0.00	1.89
IND @ BKN	15.1	4.2	0.82	4.2	0.34	3.1	5.1	1.07	0.00	2.01
TOR @ MIN	16.2	2.3	3.29	1.8	1.26	3.1	4.3	1.05	0.00	2.13
DET @ PHI	14.6	3.0	2.21	1.9	1.15	4.8	3.5	1.31	0.82	1.71
TOR @ MIN	13.7	4.7	0.81	1.8	0.79	3.4	4.8	0.82	0.88	1.62
MEM @ SAC	13.2	5.0	0.38	2.1	3.16	4.0	2.2	1.30	0.00	1.28
IND @ BKN	11.3	4.7	0.00	1.9	3.22	6.5	1.7	0.73	1.23	1.38
TOR @ MIN	13.5	4.4	1.33	0.8	2.23	3.6	2.3	1.08	1.68	1.50
LAC @ OKC	13.2	4.2	0.83	2.3	1.39	4.3	1.5	0.66	2.32	1.43
LAL @ UTA	13.3	4.6	0.57	2.5	1.19	3.6	3.4	0.91	0.00	1.75
DET @ PHI	11.3	4.1	0.41	1.8	2.38	5.6	2.8	0.91	0.00	1.44
IND @ BKN	13.3	1.4	2.58	2.8	1.08	3.2	2.9	0.88	0.00	1.80
DET @ PHI	14.8	1.8	2.84	2.8	0.63	2.4	2.0	0.79	0.40	1.23
LAC @ OKC	12.3	1.3	1.87	4.1	0.69	3.1	3.3	0.91	0.00	1.85
TOR @ MIN	8.7	2.7	0.00	3.3	3.09	6.4	2.0	0.79	0.00	2.09
IND @ BKN	9.0	3.5	0.41	0.7	2.41	5.4	2.7	0.79	2.29	1.43
IND @ BKN	13.5	2.9	1.83	2.1	0.91	2.6	2.0	0.87	0.45	1.24
ORL @ NYK	12.8	0.9	3.41	0.6	1.04	3.3	2.6	1.06	0.67	1.19
MEM @ SAC	12.8	2.1	2.04	2.4	1.51	2.6	1.9	1.17	0.00	0.88
TOR @ MIN	10.5	2.4	1.16	2.1	1.61	3.5	2.9	1.25	0.76	1.15
LAC @ OKC	11.0	3.7	0.85	1.1	1.11	3.1	3.0	1.17	0.29	1.61
DET @ PHI	9.8	2.7	0.69	2.3	0.93	3.6	3.9	0.81	0.00	2.02
MEM @ SAC	12.3	1.9	1.94	2.6	0.57	1.5	2.7	0.94	0.85	1.38
LAL @ UTA	9.0	3.0	0.18	2.4	0.65	3.8	3.0	1.04	1.83	1.49
LAC @ OKC	9.4	4.2	0.00	1.0	2.06	4.2	1.8	0.91	0.44	1.26
TOR @ MIN	10.6	1.2	2.24	1.6	1.45	2.6	2.6	1.28	0.47	1.15
LAL @ UTA	11.4	2.2	2.02	1.1	0.90	2.2	2.4	0.72	0.73	1.14
LAL @ UTA	10.0	2.9	0.37	3.1	0.60	2.2	2.8	0.65	0.00	1.67
LAC @ OKC	10.2	1.8	1.66	1.6	1.58	2.8	2.5	1.06	0.00	1.03
LAC @ OKC	6.8	0.7	1.42	1.1	0.76	4.6	4.4	1.26	1.17	1.75
ORL @ NYK	10.6	1.2	2.33	1.3	0.92	2.6	2.0	0.85	0.75	1.07
MEM @ SAC	9.0	2.5	0.65	2.0	1.69	1.6	3.2	0.79	0.47	1.68
TOR @ MIN	9.0	3.4	0.17	1.7	2.02	2.9	1.8	0.95	0.41	1.00
ORL @ NYK	9.8	2.4	1.45	0.6	1.06	2.2	3.0	0.93	0.35	1.25
LAL @ UTA	9.6	1.7	1.25	2.5	0.61	2.0	2.9	0.93	0.39	1.16
LAL @ UTA	9.4	2.6	0.90	1.5	0.97	2.4	2.4	1.00	0.35	1.09
LAC @ OKC	7.7	3.6	0.00	0.5	2.31	2.9	2.6	0.72	0.58	1.50
IND @ BKN	9.9	1.0	1.66	2.8	0.90	2.3	2.0	0.61	0.00	1.19
DET @ PHI	10.9	1.0	2.36	1.8	0.84	2.5	1.0	0.57	0.50	0.69
TOR @ MIN	9.9	1.0	1.84	2.3	0.70	2.2	1.6	0.58	0.81	1.28
MEM @ SAC	7.4	2.2	0.72	0.9	0.91	5.2	2.2	0.88	0.84	0.96
MEM @ SAC	8.5	2.3	0.92	1.2	0.99	3.9	1.3	0.52	0.73	1.10
IND @ BKN	10.0	2.3	1.57	0.8	0.61	1.6	2.6	0.73	0.00	1.19
ORL @ NYK	8.0	3.3	0.00	1.3	2.03	2.8	1.9	0.55	0.51	0.75
TOR @ MIN	4.3	1.2	0.00	2.0	2.29	6.2	1.8	1.00	0.93	1.12
LAC @ OKC	9.1	1.7	1.74	0.5	0.68	3.1	1.8	1.14	0.00	0.91
DET @ PHI	8.0	0.7	2.01	0.6	0.43	4.0	2.2	0.80	0.42	1.19
DET @ PHI	7.3	1.4	1.10	1.3	1.50	1.9	2.0	0.61	2.05	0.85
IND @ BKN	7.9	1.1	1.70	0.5	0.56	2.2	2.7	1.13	0.71	1.16
TOR @ MIN	5.3	1.5	0.00	2.3	1.13	2.8	3.8	0.78	0.00	1.79
LAC @ OKC	7.0	1.1	1.30	1.0	0.99	3.1	2.7	0.84	0.32	0.97
ORL @ NYK	8.5	1.1	1.75	1.0	0.77	2.2	2.1	0.72	0.00	1.06
DET @ PHI	7.3	0.7	1.66	0.9	0.65	3.8	1.7	1.06	0.34	0.92
LAC @ OKC	8.8	1.1	1.85	1.0	0.93	1.6	1.7	0.69	0.00	1.10
DET @ PHI	5.5	0.0	1.13	2.1	1.32	2.8	2.0	1.24	1.07	1.33
IND @ BKN	8.5	1.6	1.57	0.5	0.27	2.5	1.6	0.80	0.35	0.77
MEM @ SAC	6.7	1.7	0.60	1.4	0.59	4.1	1.6	0.72	0.00	0.82
DET @ PHI	8.5	0.7	1.93	1.3	0.41	2.1	1.4	0.63	0.00	0.98
IND @ BKN	6.3	1.3	0.72	1.5	0.56	2.7	1.6	0.66	0.99	0.84
LAL @ UTA	5.9	1.6	0.53	1.0	1.15	3.1	2.0	0.77	0.00	0.99
ORL @ NYK	6.0	1.9	0.41	1.0	0.36	1.7	2.6	0.53	1.30	1.01
TOR @ MIN	5.8	2.5	0.00	0.8	3.24	2.0	1.0	0.41	0.00	0.83
IND @ BKN	7.1	1.3	0.70	2.3	0.72	1.4	1.5	0.44	0.00	0.94
LAL @ UTA	7.0	1.1	1.45	0.5	0.58	1.5	1.6	0.87	0.75	0.95
IND @ BKN	6.8	1.3	0.99	1.2	0.56	2.6	1.3	0.74	0.00	0.73
LAC @ OKC	6.7	2.1	0.25	1.7	0.60	2.3	0.9	0.45	0.39	0.78
LAC @ OKC	5.9	0.2	1.51	0.9	0.35	3.7	2.0	0.50	0.00	0.92
LAL @ UTA	7.0	1.6	1.06	0.7	0.68	1.8	1.6	0.68	0.00	0.86
MEM @ SAC	6.5	1.3	1.13	0.5	0.67	1.8	2.1	0.59	0.00	1.33
IND @ BKN	6.6	1.2	1.20	0.5	1.09	1.6	1.8	0.68	0.00	1.28
MEM @ SAC	7.3	2.8	0.37	0.6	0.27	1.0	1.8	0.44	0.00	0.88
ORL @ NYK	5.4	1.6	0.00	2.2	1.41	1.9	1.1	0.40	0.68	0.57
LAL @ UTA	6.1	1.1	1.07	0.7	0.73	2.2	1.6	0.60	0.00	0.80
LAL @ UTA	6.2	1.2	0.95	1.0	0.32	1.2	2.0	1.05	0.00	0.91
LAL @ UTA	6.7	1.2	1.12	1.0	0.29	1.4	1.4	0.50	0.26	0.83
LAC @ OKC	5.0	1.3	0.68	0.5	0.34	2.2	2.3	0.78	0.00	0.92
MEM @ SAC	6.7	1.5	1.09	0.5	0.51	1.5	1.0	0.60	0.00	0.54
IND @ BKN	4.3	1.0	0.64	0.5	0.51	2.6	1.8	0.50	0.40	1.35
IND @ BKN	3.2	1.0	0.00	1.1	0.73	1.9	1.6	0.65	1.75	0.96
MEM @ SAC	3.7	1.1	0.33	0.5	0.70	2.3	0.9	0.66	2.31	0.47
MEM @ SAC	4.3	1.1	0.53	0.5	0.96	2.2	1.1	0.59	0.86	0.72
LAC @ OKC	4.5	1.9	0.00	0.8	1.54	1.3	1.1	0.46	0.56	0.70
MEM @ SAC	4.0	1.1	0.36	0.7	1.21	2.2	1.2	0.62	0.00	0.78
TOR @ MIN	4.7	0.5	0.76	1.3	0.53	2.1	1.2	0.43	0.00	0.64
TOR @ MIN	3.6	1.1	0.22	0.8	1.64	1.3	0.8	0.47	1.67	0.51
TOR @ MIN	4.5	0.9	0.78	0.4	1.27	1.6	0.7	0.51	0.00	0.47
IND @ BKN	4.7	1.1	0.68	0.5	0.43	1.2	1.1	0.30	0.00	0.55
IND @ BKN	4.5	1.6	0.00	1.3	0.51	0.7	0.8	0.29	0.00	0.59
ORL @ NYK	4.7	0.3	1.23	0.5	0.18	1.6	0.9	0.40	0.00	0.56
ORL @ NYK	3.2	0.6	0.41	0.7	0.30	1.9	1.6	0.60	0.00	0.73
MEM @ SAC	2.7	0.0	0.71	0.6	0.75	1.0	1.1	0.43	0.84	0.47
ORL @ NYK	4.3	1.9	0.00	0.5	0.27	0.6	0.5	0.13	0.00	0.23
DET @ PHI	1.8	0.4	0.25	0.3	0.84	2.4	0.7	0.38	0.66	0.36
LAL @ UTA	3.6	0.5	0.71	0.4	0.17	1.0	0.6	0.21	0.00	0.40
LAC @ OKC	2.6	1.0	0.00	0.5	0.43	1.2	1.0	0.28	0.00	0.58
LAL @ UTA	3.5	1.1	0.35	0.3	0.29	0.4	0.5	0.17	0.00	0.28
LAL @ UTA	1.9	0.8	0.00	0.3	0.44	1.9	0.6	0.25	0.00	0.32
MEM @ SAC	2.2	0.7	0.17	0.3	0.28	0.7	1.1	0.33	0.00	0.58
TOR @ MIN	2.6	0.2	0.66	0.3	0.26	0.7	0.6	0.19	0.00	0.44
LAL @ UTA	2.2	0.6	0.16	0.5	0.37	0.5	0.7	0.38	0.00	0.41
LAC @ OKC	1.9	0.0	0.55	0.3	0.36	1.0	0.6	0.21	0.00	0.27
LAL @ UTA	1.5	0.0	0.37	0.4	0.20	1.0	0.7	0.29	0.00	0.38
TOR @ MIN	1.5	0.6	0.00	0.3	0.17	0.6	0.7	0.22	0.00	0.34
ORL @ NYK	1.7	0.7	0.00	0.3	0.34	0.5	0.5	0.19	0.00	0.24
LAL @ UTA	1.5	0.5	0.00	0.4	0.32	0.4	0.5	0.21	0.00	0.33
ORL @ NYK	1.5	0.6	0.00	0.3	0.37	0.6	0.5	0.13	0.00	0.23
ORL @ NYK	1.0	0.0	0.25	0.3	0.32	1.2	0.5	0.15	0.00	0.24
TOR @ MIN	1.6	0.6	0.00	0.4	0.31	0.3	0.4	0.16	0.00	0.22
IND @ BKN	1.3	0.0	0.33	0.3	0.24	0.6	0.5	0.18	0.00	0.32
MEM @ SAC	0.6	0.0	0.00	0.6	0.63	0.4	0.5	0.20	0.00	0.26
DET @ PHI	1.4	0.0	0.37	0.2	0.13	0.4	0.4	0.13	0.00	0.23
TOR @ MIN	1.0	0.2	0.00	0.5	0.18	0.4	0.5	0.11	0.00	0.23
MEM @ SAC	0.5	0.0	0.00	0.5	0.22	0.6	0.6	0.30	0.00	0.37
LAC @ OKC	1.2	0.5	0.00	0.1	0.15	0.3	0.2	0.06	0.00	0.11
LAC @ OKC	1.2	0.0	0.34	0.1	0.07	0.2	0.2	0.07	0.00	0.12
TOR @ MIN	0.7	0.0	0.17	0.2	0.09	0.3	0.2	0.10	0.00	0.15
TOR @ MIN	0.6	0.1	0.00	0.3	0.08	0.2	0.2	0.09	0.00	0.18
TOR @ MIN	0.4	0.1	0.00	0.2	0.15	0.2	0.2	0.09	0.00	0.17
IND @ BKN	0.4	0.0	0.09	0.2	0.09	0.2	0.2	0.10	0.00	0.15
LAC @ OKC	0.5	0.0	0.14	0.1	0.05	0.3	0.2	0.05	0.00	0.09
DET @ PHI	0.2	0.0	0.00	0.2	0.09	0.4	0.2	0.08	0.00	0.12
ORL @ NYK	0.2	0.0	0.00	0.2	0.09	0.3	0.2	0.08	0.00	0.11
TOR @ MIN	0.1	0.0	0.00	0.1	0.07	0.3	0.2	0.07	0.00	0.12
LAC @ OKC	0.1	0.0	0.00	0.1	0.07	0.2	0.2	0.06	0.00	0.10
IND @ BKN	0.1	0.0	0.00	0.1	0.06	0.1	0.1	0.04	0.00	0.08
LAC @ OKC	0.1	0.0	0.00	0.1	0.05	0.1	0.2	0.05	0.00	0.07
DET @ PHI	0.0	0.0	0.00	0.0	0.02	0.1	0.1	0.02	0.00	0.03
DET @ PHI	0.0	0.0	0.00	0.0	0.02	0.1	0.1	0.02	0.00	0.03

NBA predictions Sun, Oct 25

Market

Recommended bet

Model vs market

Market

Recommended bet

Model vs market

Market

Recommended bet

Model vs market

Market

Recommended bet

Model vs market

Market

Recommended bet

Model vs market

Market

Recommended bet

Model vs market

Market

Recommended bet

Model vs market

Points leaders

Games

Recommended bet

Model vs market

Recommended bet

Model vs market

Recommended bet

Model vs market

Recommended bet

Model vs market

Recommended bet

Model vs market

Recommended bet

Model vs market

Recommended bet

Model vs market

Players

Points leaders