NBA predictions Tue, Oct 20

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

3 games on this slate · model went 1–2 · 29–14 last 30 days →

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Updated 6d ago

✓ Favorite won Final · Tue, Oct 20

Celtics

113 44.8% · proj 112.3

Pistons

121 55.2% · proj 114.2

ModelMarket

Spread DET -1.9 BOS -1.5

DET win 55.2% 47.4%

Total 226.5 220.5

Our bet DET +1.5 ✓ Covered

Set at line BOS -1.5 · model DET -1.9

✗ Favorite lost Final · Tue, Oct 20

76ers

106 39.8% · proj 112.5

Knicks

100 60.2% · proj 116.2

ModelMarket

Spread NYK -3.8 NYK -4.5

NYK win 60.2% 61.6%

Total 228.7 230.5

Our bet PHI +4.5 ✓ Covered

Set at line NYK -4.5 · model NYK -3.8

✗ Favorite lost Final · Tue, Oct 20

Thunder

116 47.2% · proj 113.9

Spurs

104 52.8% · proj 114.9

ModelMarket

Spread SAS -1.0 OKC -1.5

SAS win 52.8% 50.0%

Total 228.8 229.5

Our bet SAS +1.5 ✗ Didn't cover

Set at line OKC -1.5 · model SAS -1.0

Points leaders

Shai Gilgeous-Alexander28.6 pts
Victor Wembanyama24.5 pts
Chet Holmgren23.4 pts
Jalen Brunson22.8 pts
Karl-Anthony Towns22.0 pts

Rank by


OKC @ SAS	28.6	8.4	1.45	7.5	0.64	3.5	4.5	1.30	0.68	1.87
OKC @ SAS	24.5	6.7	1.95	5.2	1.67	7.5	3.7	0.96	2.43	2.17
PHI @ NYK	22.0	6.3	1.40	5.3	2.51	7.1	6.3	0.72	0.51	3.23
OKC @ SAS	23.4	6.7	1.87	4.5	1.93	6.7	5.2	0.62	2.00	2.36
PHI @ NYK	21.9	6.1	1.20	6.0	1.51	4.6	5.6	0.47	1.16	2.52
BOS @ DET	20.8	7.9	0.00	4.9	3.21	5.9	4.4	0.58	0.71	2.23
BOS @ DET	21.3	4.5	2.85	3.8	0.75	6.5	6.3	1.17	0.21	2.54
PHI @ NYK	22.8	6.1	2.05	4.4	0.42	2.7	4.9	0.73	0.13	2.10
BOS @ DET	16.3	4.4	1.40	3.4	0.71	3.6	6.3	0.90	0.64	2.48
PHI @ NYK	17.7	5.2	1.16	3.8	0.92	4.4	2.1	0.76	0.23	2.27
PHI @ NYK	13.9	4.5	0.79	2.6	0.60	4.0	6.6	0.86	0.47	2.18
OKC @ SAS	11.4	4.6	0.05	2.0	2.61	5.1	5.8	0.78	0.72	2.18
PHI @ NYK	16.8	4.2	1.76	3.1	0.31	2.8	2.9	1.26	0.54	1.38
PHI @ NYK	14.2	2.5	2.27	2.4	1.13	3.6	3.8	1.34	0.99	2.09
OKC @ SAS	13.1	3.5	0.94	3.3	1.25	3.1	4.6	1.09	0.14	2.32
OKC @ SAS	14.5	5.0	0.62	2.7	0.86	3.5	3.5	0.98	0.12	1.62
BOS @ DET	11.1	4.5	0.08	1.9	2.63	4.0	3.7	0.69	1.27	1.46
OKC @ SAS	14.5	4.1	1.45	2.0	0.50	2.5	3.2	1.10	0.18	1.70
BOS @ DET	13.9	3.1	2.16	1.3	0.76	2.2	2.2	0.63	0.15	1.26
BOS @ DET	12.3	2.5	1.88	1.7	0.42	2.7	3.3	1.04	0.21	1.41
OKC @ SAS	12.5	3.6	1.23	1.6	1.42	2.9	1.9	0.54	0.10	1.07
BOS @ DET	11.6	1.9	1.99	1.9	0.92	2.4	2.2	0.95	0.69	1.55
BOS @ DET	11.2	3.5	0.97	1.4	1.29	3.1	2.0	0.58	0.55	1.31
BOS @ DET	7.2	3.1	0.00	0.9	3.64	3.3	2.5	0.81	1.25	1.09
BOS @ DET	9.8	2.5	0.93	1.9	0.82	2.0	3.1	0.83	0.35	1.50
PHI @ NYK	7.8	2.0	0.93	1.0	1.21	5.1	2.7	0.96	0.18	1.56
PHI @ NYK	7.8	2.3	0.77	1.0	2.23	3.9	2.9	0.45	0.88	1.20
OKC @ SAS	9.2	2.7	0.78	1.5	0.70	3.0	2.8	0.79	0.37	1.14
PHI @ NYK	9.9	2.7	1.11	1.2	1.18	3.0	1.3	1.00	0.45	1.03
BOS @ DET	9.6	2.6	0.99	1.4	1.97	1.5	2.3	0.36	0.36	0.97
OKC @ SAS	9.4	3.1	0.70	1.1	0.69	2.2	1.9	0.77	0.31	1.18
OKC @ SAS	8.2	1.2	1.63	1.0	0.77	3.7	2.2	0.72	0.41	1.14
BOS @ DET	6.6	2.7	0.04	1.1	1.71	3.2	1.3	1.35	1.34	0.98
PHI @ NYK	10.2	1.4	2.21	0.7	0.52	1.8	0.5	0.76	0.60	0.44
BOS @ DET	9.0	1.1	1.97	0.8	0.26	1.7	2.7	0.38	0.13	0.78
BOS @ DET	8.1	0.9	2.01	0.2	0.17	2.6	2.7	0.48	0.21	1.22
PHI @ NYK	8.3	2.2	1.10	0.6	0.72	2.3	1.1	1.04	0.77	0.42
OKC @ SAS	8.2	2.3	0.68	1.5	0.56	2.0	1.3	0.86	0.23	0.82
BOS @ DET	7.2	2.0	0.63	1.2	0.82	2.4	1.8	0.73	0.36	1.11
OKC @ SAS	5.7	2.2	0.00	1.3	1.92	2.5	2.9	0.40	0.33	0.80
OKC @ SAS	8.8	1.5	1.57	1.0	0.44	2.6	0.0	0.77	0.19	0.81
BOS @ DET	7.8	2.1	0.71	1.5	0.76	1.6	0.9	0.70	0.19	1.19
BOS @ DET	7.4	0.7	1.94	0.2	0.63	2.3	2.0	0.46	0.23	0.77
OKC @ SAS	4.5	0.5	0.95	0.8	0.53	4.3	3.1	0.42	0.50	1.09
BOS @ DET	7.2	1.7	1.10	0.6	0.45	2.5	1.0	0.62	0.28	0.64
BOS @ DET	6.2	0.8	1.42	0.4	0.96	2.8	0.0	0.68	0.08	0.83
OKC @ SAS	7.4	1.5	1.25	0.6	0.41	1.7	0.0	0.50	0.06	0.55
BOS @ DET	7.8	0.6	1.87	1.0	0.36	1.7	0.0	0.44	0.05	0.30
PHI @ NYK	4.3	1.5	0.14	0.9	1.34	2.2	1.6	0.62	0.73	0.66
PHI @ NYK	5.5	1.4	0.68	0.6	0.94	2.7	0.0	0.96	0.22	0.76
OKC @ SAS	5.5	0.9	1.00	0.8	0.57	1.3	2.1	0.51	0.07	0.90
BOS @ DET	5.5	1.0	0.71	1.3	0.35	1.6	1.2	0.68	0.19	0.59
PHI @ NYK	6.4	1.4	1.07	0.4	0.40	1.3	0.8	0.40	0.03	0.70
PHI @ NYK	6.7	0.8	1.41	0.8	0.43	1.5	0.0	0.60	0.20	0.23
PHI @ NYK	3.5	1.3	0.01	0.8	1.50	2.3	0.9	0.35	0.71	0.65
OKC @ SAS	4.5	1.1	0.67	0.4	0.70	1.9	0.4	1.42	0.43	0.26
PHI @ NYK	5.8	2.0	0.38	0.8	0.66	0.8	0.0	0.35	0.09	0.52
PHI @ NYK	4.8	1.2	0.56	0.8	0.27	1.3	0.8	0.51	0.07	0.59
OKC @ SAS	3.6	0.6	0.63	0.4	0.61	2.1	1.3	0.34	0.34	0.77
BOS @ DET	4.8	0.7	0.84	0.9	0.59	1.7	0.0	0.75	0.23	0.29
PHI @ NYK	4.4	1.0	0.67	0.4	0.34	0.9	1.5	0.62	0.06	0.53
PHI @ NYK	3.3	0.5	0.64	0.3	0.65	2.3	1.7	0.49	0.26	0.34
PHI @ NYK	4.0	0.9	0.63	0.3	0.24	1.3	1.5	0.57	0.11	0.62
OKC @ SAS	3.5	0.6	0.63	0.4	0.47	1.9	0.5	0.99	0.17	0.52
PHI @ NYK	3.6	0.7	0.65	0.3	0.28	1.3	1.6	0.31	0.05	0.68
PHI @ NYK	3.0	1.2	0.00	0.5	0.51	1.3	1.8	0.23	0.15	0.71
OKC @ SAS	2.2	0.7	0.20	0.2	0.40	0.9	1.9	0.31	0.00	1.39
OKC @ SAS	3.5	0.9	0.47	0.3	0.72	1.4	0.1	0.34	0.02	0.32
BOS @ DET	2.5	0.5	0.38	0.3	0.72	1.3	0.0	0.40	0.33	0.34
BOS @ DET	1.4	0.3	0.21	0.1	0.52	1.3	0.0	0.33	0.14	0.34
OKC @ SAS	2.0	–	–	–	–	–	–	–	–	–
OKC @ SAS	0.0	–	–	–	–	–	–	–	–	–

NBA predictions Tue, Oct 20

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