What scoring do these 2026-27 points league rankings use?

Fantasy points per game at 1 per point, 1.2 per rebound, 1.5 per assist, 3 per steal, 3 per block, minus 1 per turnover. That is close to the ESPN and Sleeper defaults; if your league weights a stat differently, read the order rather than the exact total.

Why do points leagues rank big men higher than 9-cat leagues do?

Points scoring never charges a player for a poor free throw or field goal percentage, and it pays 1.2 for every rebound and 3 for every block. A high-volume rebounder who shoots 60 percent from the line loses nothing here and loses a whole category in 9-cat.

Points league fantasy basketball rankings 2026-27

The top 200 players by fantasy points per game, led by Nikola Jokić at 62.1. The Rd column is where each rank falls in a 12-team draft.

#	Rd	Player	GP	MIN	FP/G	9-cat	PTS	REB	AST	STL	BLK	3PM	FG%	FT%	TO
1	1.01	Nikola Jokić CDEN	65	34.8	62.1	1	27.7	12.9	10.7	1.4	0.8	1.7	56.9%	83.1%	3.7
2	1.02	Luka Dončić PGLAL	64	35.8	57.7	6	33.5	7.7	8.3	1.6	0.5	4.0	47.6%	78.0%	4.0
3	1.03	Victor Wembanyama CSAS	64	29.2	53.4	2	25.0	11.5	3.1	1.0	3.1	1.9	51.2%	82.7%	2.4
4	1.04	Shai Gilgeous-Alexander PGOKCDTD	68	33.2	50.4	3	31.1	4.3	6.6	1.4	0.8	1.7	55.3%	87.9%	2.2
5	1.05	Giannis Antetokounmpo PFMIADTD	36	28.9	49.1	50	27.6	9.8	5.4	0.9	0.7	0.4	62.4%	65.0%	3.2
6	1.06	Tyrese Maxey PGPHI	70	38.0	48.6	5	28.3	4.1	6.6	1.9	0.8	3.1	46.2%	89.2%	2.4
7	1.07	Cade Cunningham PGDETDTD	64	33.9	48.6	16	23.9	5.5	9.9	1.4	0.8	2.0	46.1%	81.2%	3.7
8	1.08	Jalen Johnson PFATL	72	35.2	48.3	17	22.5	10.3	7.9	1.2	0.4	1.7	48.9%	78.8%	3.4
9	1.09	Kawhi Leonard SFTORDTD	65	32.1	45.7	4	27.9	6.4	3.6	1.9	0.4	2.6	50.5%	89.2%	2.0
10	1.10	Jaylen Brown SFPHIDTD	71	34.4	45.2	56	28.7	6.9	5.1	1.0	0.4	2.0	47.7%	79.5%	3.6
11	1.11	Joel Embiid CPHIDTD	38	31.6	44.5	22	26.9	7.7	3.9	0.6	1.2	1.4	48.9%	85.4%	2.9
12	1.12	Donovan Mitchell SGCLE	70	33.5	44.3	7	27.9	4.5	5.7	1.5	0.3	3.2	48.3%	86.5%	2.8
13	2.01	Anthony Davis CWAS	20	31.3	44.0	19	20.4	11.1	2.8	1.1	1.6	0.5	50.6%	72.8%	2.0
14	2.02	Anthony Edwards SGMINGTD	61	35.0	43.9	13	28.8	5.0	3.7	1.4	0.8	3.4	48.9%	79.6%	2.9
15	2.03	Alperen Şengün CHOUDTD	72	33.3	43.9	42	20.4	8.9	6.2	1.2	1.1	0.6	51.9%	69.1%	3.2
16	2.04	Jamal Murray PGDEN	75	35.4	42.9	9	25.4	4.4	7.1	0.9	0.4	3.3	48.3%	88.7%	2.3
17	2.05	Deni Avdija PFPOR	66	33.3	42.9	67	24.2	6.9	6.7	0.8	0.6	1.9	46.2%	80.2%	3.8
18	2.06	James Harden PGCLE	70	34.8	42.4	23	23.6	4.8	8.0	1.1	0.4	3.1	43.4%	88.4%	3.5
19	2.07	Scottie Barnes PFTOR	80	33.5	42.0	12	18.1	7.5	5.9	1.4	1.4	0.8	50.7%	81.5%	2.6
20	2.08	Kevin Durant SFHOUDTD	78	36.4	41.6	15	26.0	5.5	4.8	0.8	0.9	2.4	52.0%	87.4%	3.2
21	2.09	Josh Giddey PGCHI	54	32.1	41.6	60	17.0	8.3	9.1	1.0	0.5	1.9	44.8%	76.3%	3.6
22	2.10	LeBron James PFPHIDTD	60	33.1	41.4	43	20.9	6.1	7.2	1.2	0.6	1.3	51.5%	73.7%	3.0
23	2.11	Lauri Markkanen PFUTAGTD	42	34.4	41.2	8	26.7	6.9	2.1	1.0	0.5	2.7	47.7%	89.6%	1.5
24	2.12	Bam Adebayo CMIADTD	73	32.4	40.8	32	20.1	10.0	3.2	1.2	0.7	1.7	44.2%	77.8%	1.6
25	3.01	Paolo Banchero PFORL	72	34.8	40.8	111	22.2	8.4	5.2	0.7	0.6	1.2	45.9%	77.5%	3.1
26	3.02	Jalen Brunson PGNYK	74	35.0	40.5	49	26.0	3.3	6.8	0.8	0.1	2.6	46.7%	84.1%	2.4
27	3.03	Karl-Anthony Towns CNYK	75	31.0	40.5	21	20.1	11.9	3.0	0.9	0.5	1.5	50.1%	85.8%	2.5
28	3.04	Pascal Siakam PFIND	62	33.2	39.9	92	24.0	6.6	3.8	1.1	0.4	1.7	48.4%	69.3%	2.2
29	3.05	Evan Mobley CCLE	65	31.9	39.9	41	18.2	9.0	3.6	0.7	1.7	1.0	54.6%	60.6%	1.9
30	3.06	Kevin Porter PGMIL	38	33.2	39.9	14	17.4	5.2	7.4	2.2	0.5	1.2	46.5%	87.8%	2.9
31	3.07	Devin Booker SGPHXDTD	64	33.5	39.9	63	26.1	3.9	6.0	0.8	0.3	1.9	45.6%	87.3%	3.1
32	3.08	Cooper Flagg SGDAL	70	33.5	39.8	35	21.0	6.7	4.5	1.2	0.9	1.0	46.8%	82.7%	2.3
33	3.09	Stephen Curry PGGSW	43	30.9	39.7	10	26.6	3.6	4.7	1.1	0.4	4.4	46.8%	92.3%	2.8
34	3.10	Amen Thompson SGHOU	79	37.4	39.5	28	18.3	7.8	5.3	1.5	0.6	0.3	53.4%	77.9%	2.4
35	3.11	Michael Porter SFBKNGTD	52	32.5	38.8	25	24.2	7.1	3.0	1.1	0.3	3.4	46.3%	85.9%	2.3
36	3.12	Austin Reaves SGLAL	51	34.5	38.7	24	23.3	4.7	5.5	1.1	0.4	2.3	49.0%	87.1%	3.0
37	4.01	Jalen Duren CDETDTD	70	28.2	38.2	27	19.5	10.5	2.0	0.8	0.8	0.0	65.0%	74.7%	1.9
38	4.02	Keyonte George PGUTA	54	33.1	38.2	36	23.6	3.7	6.1	1.1	0.3	2.5	45.6%	89.2%	3.1
39	4.03	LaMelo Ball PGMINGTD	72	28.0	38.1	40	20.1	4.8	7.1	1.2	0.2	3.8	40.7%	89.9%	2.8
40	4.04	Julius Randle PFBKN	79	33.0	37.9	68	21.1	6.7	5.0	1.1	0.2	1.4	48.1%	80.2%	2.7
41	4.05	Trey Murphy SGNOP	66	35.5	37.8	11	21.5	5.7	3.8	1.5	0.4	3.2	47.0%	88.6%	1.8
42	4.06	Jimmy Butler SFGSWOUT	38	31.1	37.4	20	20.0	5.6	4.9	1.4	0.2	0.8	51.9%	86.4%	1.6
43	4.07	Chet Holmgren COKCDTD	69	28.9	36.3	18	17.1	8.9	1.7	0.6	1.9	1.3	55.7%	79.2%	1.6
44	4.08	Alex Sarr CWAS	48	27.2	35.9	45	16.3	7.4	2.7	0.8	2.0	1.0	48.2%	69.2%	1.7
45	4.09	Ja Morant PGPOR	20	28.4	35.8	147	19.4	3.3	8.1	1.0	0.3	1.0	41.0%	89.7%	3.5
46	4.10	Brandon Ingram SFLACOUT	77	33.8	35.7	78	21.5	5.6	3.7	0.8	0.7	1.8	47.7%	82.0%	2.4
47	4.11	Derrick White SGBOS	77	34.1	35.3	29	16.5	4.4	5.4	1.1	1.3	2.7	39.4%	90.2%	1.7
48	4.12	Stephon Castle SGSAS	68	30.0	35.2	149	16.7	5.3	7.4	1.1	0.3	1.2	47.1%	73.4%	3.2
49	5.01	Zion Williamson PFNOP	62	29.7	35.2	102	21.0	5.7	3.2	1.0	0.5	0.0	60.0%	71.6%	2.0
50	5.02	Donovan Clingan CPOR	77	27.2	34.7	30	12.1	11.6	2.1	0.6	1.7	1.1	52.0%	68.0%	1.2
51	5.03	De'Aaron Fox PGSASGTD	72	31.0	34.5	71	18.6	3.8	6.2	1.2	0.3	1.8	48.6%	76.0%	2.3
52	5.04	Jaren Jackson CUTA	48	30.3	34.5	44	19.4	5.7	2.0	1.1	1.4	1.8	47.6%	80.3%	2.2
53	5.05	Dyson Daniels SGATL	76	33.2	34.3	39	11.9	6.8	5.9	2.0	0.4	0.3	51.7%	61.5%	1.8
54	5.06	Ryan Rollins PGMIL	74	32.1	34.2	47	17.3	4.6	5.6	1.5	0.4	2.5	47.2%	79.6%	2.7
55	5.07	Nickeil Alexander-Walker SGATLGTD	78	33.4	33.9	26	20.8	3.4	3.7	1.3	0.5	3.2	45.9%	90.2%	2.1
56	5.08	Franz Wagner SFORL	34	30.0	33.9	75	20.6	5.2	3.3	0.9	0.3	1.4	48.1%	82.3%	1.7
57	5.09	Onyeka Okongwu CATL	74	31.0	33.8	34	15.2	7.6	3.1	1.1	1.1	1.9	48.0%	75.7%	1.7
58	5.10	Desmond Bane SGORLDTD	82	33.6	33.7	37	20.1	4.1	4.1	1.0	0.5	2.0	48.4%	90.8%	2.0
59	5.11	Tyler Herro SGMIL	33	31.3	33.7	48	20.5	4.8	4.1	0.7	0.4	2.5	48.0%	91.7%	1.9
60	5.12	Paul George SFBOS	37	30.7	33.7	33	17.3	5.3	3.6	1.7	0.4	2.7	43.9%	82.0%	1.7
61	6.01	Brandon Miller SFCHA	65	30.3	33.6	53	20.2	4.9	3.3	1.0	0.7	3.1	43.5%	89.2%	2.5
62	6.02	Jusuf Nurkić CUTAOUT	41	26.4	33.5	115	10.9	10.4	4.8	1.3	0.5	0.6	50.3%	54.9%	2.5
63	6.03	Jalen Williams PFOKCDTD	33	28.4	33.3	83	17.1	4.6	5.5	1.2	0.3	0.7	48.4%	83.7%	1.9
64	6.04	VJ Edgecombe SGPHI	75	35.0	33.1	54	16.0	5.6	4.2	1.4	0.5	2.0	43.8%	81.8%	1.8
65	6.05	Rudy Gobert CMINGTD	76	31.3	33.0	77	10.9	11.5	1.7	0.8	1.6	0.0	68.2%	52.6%	1.4
66	6.06	Immanuel Quickley PGTOR	70	31.9	32.9	51	16.4	4.0	5.9	1.3	0.1	2.5	44.3%	82.1%	1.5
67	6.07	Nikola Vučević CORL	64	28.4	32.6	57	15.1	8.4	3.3	0.6	0.6	1.6	49.3%	82.8%	1.3
68	6.08	Andrew Nembhard PGIND	57	31.3	32.5	125	16.9	2.8	7.7	0.9	0.1	1.9	44.2%	82.5%	2.4
69	6.09	Jarrett Allen CCLE	56	27.1	32.4	55	15.4	8.5	1.8	1.0	0.8	0.0	63.8%	70.9%	1.3
70	6.10	Darius Garland PGLAC	45	29.9	32.2	99	18.8	2.4	6.7	1.0	0.2	2.7	46.0%	86.1%	2.9
71	6.11	RJ Barrett SFTOR	57	30.3	32.0	146	19.3	5.3	3.3	0.7	0.3	1.7	49.1%	71.7%	1.7
72	6.12	Ivica Zubac CIND	48	30.1	31.9	94	14.1	10.6	2.2	0.4	0.8	0.0	59.8%	71.1%	1.8
73	7.01	Norman Powell SFCHI	58	29.6	31.8	69	21.7	3.5	2.5	1.1	0.2	2.7	47.0%	82.7%	1.9
74	7.02	Shaedon Sharpe SGPOROUT	50	29.4	31.6	156	20.8	4.3	2.6	1.4	0.1	2.1	45.2%	78.7%	2.9
75	7.03	Jrue Holiday PGPOR	53	29.4	31.6	101	16.3	4.6	6.1	1.0	0.1	2.6	45.1%	83.8%	2.8
76	7.04	Jalen Suggs PGORLDTD	57	27.6	31.6	46	13.8	3.9	5.5	1.8	0.7	2.1	43.5%	85.5%	2.7
77	7.05	OG Anunoby PFNYK	67	33.2	31.2	31	16.7	5.2	2.2	1.6	0.7	2.3	48.4%	82.8%	1.8
78	7.06	Matas Buzelis PFCHI	77	29.2	30.9	66	16.3	5.8	2.1	0.7	1.5	2.2	46.3%	78.6%	2.1
79	7.07	DeMar DeRozan SFDEN	77	31.2	30.9	72	18.4	2.9	4.1	1.0	0.3	0.6	49.7%	86.8%	1.2
80	7.08	Kon Knueppel SGCHADTD	81	31.5	30.8	62	18.5	5.3	3.4	0.7	0.2	3.4	47.5%	86.3%	2.0
81	7.09	Payton Pritchard PGBOS	79	32.4	30.7	70	17.0	3.9	5.2	0.7	0.1	2.7	46.4%	89.0%	1.4
82	7.10	Kyshawn George SFWAS	48	29.0	30.7	100	14.8	5.1	4.5	1.0	0.9	2.1	43.8%	80.2%	2.6
83	7.11	Kristaps Porziņģis CGSWDTD	32	24.0	30.7	73	16.7	5.2	2.5	0.6	1.2	1.7	44.6%	84.2%	1.3
84	7.12	CJ McCollum PGATL	76	29.8	30.6	113	18.7	3.3	3.9	0.8	0.5	2.5	45.5%	77.2%	1.8
85	8.01	Miles Bridges PFPHXDTD	77	31.0	30.6	103	17.1	5.8	3.2	0.6	0.4	1.9	46.0%	82.2%	1.4
86	8.02	Jabari Smith PFHOU	77	35.1	30.4	80	15.8	6.9	1.9	0.7	0.9	2.3	45.0%	77.5%	1.4
87	8.03	Saddiq Bey SFNOP	72	31.2	30.3	81	17.7	5.6	2.5	0.9	0.1	2.1	45.1%	84.1%	0.9
88	8.04	Josh Hart SGNYK	66	30.2	30.3	76	12.0	7.4	4.8	1.1	0.3	1.5	50.8%	72.0%	1.9
89	8.05	Andrew Wiggins SFMIADTD	68	30.3	30.1	58	15.4	4.8	2.7	1.1	1.0	2.0	47.5%	78.4%	1.5
90	8.06	Keegan Murray PFSAC	23	34.5	30.0	82	14.0	5.7	1.7	1.0	1.6	1.3	42.0%	77.6%	1.2
91	8.07	Santi Aldama PFDALDTD	43	27.9	29.9	98	14.0	6.7	2.9	0.9	0.7	1.6	47.9%	66.7%	1.3
92	8.08	P.J. Washington PFDAL	56	31.0	29.7	128	14.2	7.0	1.8	1.0	1.1	1.4	45.0%	68.7%	1.7
93	8.09	Mikal Bridges SFNYK	82	32.8	29.7	38	14.4	3.8	3.7	1.3	0.8	1.9	49.0%	82.7%	1.0
94	8.10	Nic Claxton CCHIDTD	69	27.8	29.5	138	11.7	6.9	3.7	0.7	1.1	0.0	57.1%	61.6%	1.4
95	8.11	Isaiah Hartenstein COKCDTD	47	24.2	29.4	89	9.2	9.4	3.5	1.0	0.8	0.0	62.2%	61.0%	1.7
96	8.12	Anthony Black SGORLDTD	64	29.8	29.4	123	15.0	3.8	3.7	1.4	0.7	1.6	44.7%	73.2%	2.1
97	9.01	Jaime Jaquez PFMIL	75	28.3	29.3	164	15.4	5.0	4.7	0.7	0.3	0.8	50.7%	76.9%	2.0
98	9.02	Derik Queen CNOP	81	25.0	29.2	130	11.7	7.1	3.7	1.0	0.9	0.3	47.3%	79.5%	2.3
99	9.03	Grayson Allen SFCHADTD	51	28.8	29.1	79	16.5	3.0	3.8	1.4	0.3	3.1	40.3%	85.7%	1.6
100	9.04	Dillon Brooks SFPHX	56	30.4	29.0	155	20.2	3.6	1.8	1.0	0.2	2.3	43.5%	84.2%	1.8
101	9.05	Ausar Thompson SGDET	73	26.0	28.8	84	9.9	5.7	3.1	2.0	0.9	0.1	52.5%	57.1%	1.5
102	9.06	Naz Reid CCHA	77	26.1	28.7	85	13.6	6.2	2.2	1.0	1.0	2.1	45.6%	73.2%	1.6
103	9.07	Aaron Gordon PFDEN	36	27.9	28.7	122	16.2	5.8	2.7	0.6	0.3	1.7	49.7%	76.7%	1.1
104	9.08	Bennedict Mathurin SFNOP	54	30.0	28.6	160	17.6	5.4	2.4	0.8	0.2	1.4	43.0%	86.9%	2.2
105	9.09	Jaden McDaniels SFMINGTD	73	31.7	28.6	61	14.8	4.2	2.7	1.1	1.0	1.4	51.5%	83.5%	1.8
106	9.10	Tre Jones SGCHIDTD	65	27.0	28.5	74	14.1	3.1	5.4	1.2	0.2	0.6	55.3%	84.1%	1.4
107	9.11	Neemias Queta CBOS	76	25.3	28.1	59	10.2	8.4	1.7	0.8	1.3	0.0	65.3%	70.3%	1.0
108	9.12	Jalen Green SGPHX	32	25.9	28.1	212	17.8	3.6	2.8	1.1	0.3	2.2	42.2%	74.7%	2.3
109	10.01	Peyton Watson SFCLE	54	29.6	28.0	108	14.6	4.9	2.1	0.9	1.1	1.5	49.1%	73.0%	1.7
110	10.02	Jerami Grant PFMEM	57	29.7	28.0	144	18.6	3.5	2.1	0.7	0.6	2.4	45.3%	81.4%	2.1
111	10.03	Naji Marshall SFDAL	74	29.5	27.7	152	15.2	4.7	3.3	1.1	0.1	0.8	51.0%	76.0%	1.6
112	10.04	Kel'el Ware CMIL	77	22.1	27.7	52	11.1	9.0	0.7	0.8	1.1	1.2	53.0%	74.0%	0.8
113	10.05	Brandin Podziemski PGGSW	82	28.5	27.7	114	13.8	5.1	3.7	1.1	0.2	1.9	45.5%	79.7%	1.6
114	10.06	Isaiah Collier PGUTA	59	25.7	27.3	201	11.7	2.5	7.2	1.1	0.3	0.5	49.5%	72.2%	2.5
115	10.07	Collin Gillespie PGPHX	80	28.5	27.3	86	12.7	4.1	4.6	1.2	0.2	2.9	41.8%	87.4%	1.6
116	10.08	Mark Williams CPHXOUT	60	23.6	27.1	64	11.7	8.0	1.0	0.9	0.9	0.0	64.4%	77.1%	1.1
117	10.09	Reed Sheppard PGHOU	82	26.2	27.0	65	13.5	2.9	3.4	1.5	0.7	2.8	43.0%	80.2%	1.5
118	10.10	Zach LaVine SGSAC	39	31.4	27.0	119	19.2	2.8	2.3	0.7	0.3	2.5	47.9%	88.0%	1.9
119	10.11	Deandre Ayton CWAS	72	27.2	26.7	91	12.5	8.0	0.8	0.6	1.0	0.0	67.1%	64.5%	1.2
120	10.12	Kelly Oubre PFIND	50	31.5	26.7	96	14.1	5.0	1.6	1.4	0.5	1.7	46.7%	76.6%	1.4
121	11.01	Coby White PGCHADTD	50	25.0	26.7	226	17.4	3.4	4.0	0.5	0.1	2.3	44.6%	81.7%	2.6
122	11.02	Kyle Filipowski CUTADTD	77	23.4	26.6	135	11.4	7.2	2.6	0.9	0.5	1.0	49.2%	75.0%	1.6
123	11.03	Wendell Carter CORL	78	29.3	26.6	107	11.8	7.4	2.0	0.8	0.6	0.9	51.2%	79.2%	1.3
124	11.04	Donte DiVincenzo SGMINOUT	82	30.4	26.4	88	12.2	4.1	3.8	1.3	0.4	3.0	40.6%	74.3%	1.4
125	11.05	Cedric Coward SGMEM	62	25.8	26.3	145	13.6	5.9	2.8	0.6	0.4	1.5	47.1%	84.3%	1.7
126	11.06	Bilal Coulibaly SFWAS	56	26.2	26.3	129	11.7	4.3	2.6	1.3	1.0	1.2	42.5%	74.6%	1.4
127	11.07	Myles Turner CMIL	71	26.9	26.3	87	11.9	5.3	1.5	0.7	1.6	2.1	44.0%	74.0%	1.2
128	11.08	Ajay Mitchell PGOKCDTD	57	25.8	26.3	97	13.6	3.3	3.6	1.2	0.3	1.1	48.5%	87.0%	1.4
129	11.09	Ayo Dosunmu SGMINGTD	69	27.3	26.3	93	14.8	3.4	3.6	0.8	0.3	1.8	51.7%	87.6%	1.4
130	11.10	Jeremiah Fears PGNOP	82	25.8	26.2	195	14.3	3.7	3.4	1.2	0.4	1.2	43.4%	78.9%	2.2
131	11.11	Toumani Camara SFPOR	82	33.3	26.2	118	13.4	5.1	2.5	1.1	0.4	2.7	44.0%	70.8%	1.8
132	11.12	Tobias Harris PFSASDTD	63	27.7	26.2	106	13.3	5.1	2.5	0.9	0.4	1.3	46.9%	86.6%	1.0
133	12.01	Jakob Poeltl CTOR	46	25.0	25.6	109	10.7	7.0	2.0	0.9	0.7	0.0	70.0%	60.2%	1.2
134	12.02	Moussa Diabaté CCHA	73	26.0	25.5	110	7.9	8.7	1.9	0.8	1.0	0.0	63.1%	65.9%	1.0
135	12.03	Maxime Raynaud CSACOUT	74	26.5	25.4	143	12.5	7.5	1.4	0.5	0.5	0.3	57.1%	78.6%	1.3
136	12.04	Devin Vassell SFSAS	67	30.5	25.2	116	13.9	4.0	2.5	0.9	0.4	2.5	43.7%	81.5%	0.9
137	12.05	Draymond Green PFGSW	68	27.5	25.2	189	8.4	5.5	5.5	0.9	0.6	1.5	41.8%	70.2%	2.7
138	12.06	Bobby Portis CMIA	67	24.2	25.1	142	13.7	6.4	1.6	0.6	0.2	2.0	48.8%	70.6%	1.0
139	12.07	Jaylon Tyson SFCLE	66	26.9	24.9	132	13.2	5.1	2.2	0.8	0.4	2.0	49.3%	73.8%	1.5
140	12.08	John Collins PFDET	69	27.1	24.9	104	13.6	5.3	1.0	0.9	0.7	1.3	55.2%	76.6%	1.4
141	12.09	Collin Sexton SGLALDTD	68	23.7	24.8	151	15.4	2.3	3.3	1.1	0.1	1.6	48.5%	85.5%	2.1
142	12.10	Ace Bailey SFUTA	72	27.6	24.6	168	13.8	4.2	1.8	0.8	0.7	1.9	44.3%	75.0%	1.5
143	12.11	Quentin Grimes SGLAL	75	29.4	24.6	165	13.4	3.6	3.3	0.9	0.4	1.7	45.0%	84.0%	1.8
144	12.12	Daniel Gafford CDAL	55	21.7	24.3	121	9.5	6.9	1.1	0.8	1.3	0.0	65.5%	68.3%	1.1
145	13.01	Scoot Henderson PGPOR	30	24.9	24.2	227	14.2	2.7	3.7	0.9	0.3	1.9	41.8%	84.0%	2.4
146	13.02	Brandon Williams PGGSW	66	22.2	24.1	234	13.0	2.9	3.9	0.9	0.3	0.5	47.2%	79.3%	1.9
147	13.03	Davion Mitchell PGMIADTD	70	28.6	24.1	167	9.3	2.7	6.5	1.0	0.2	1.3	49.0%	64.6%	1.5
148	13.04	Precious Achiuwa PFSAC	73	23.9	24.1	176	10.1	6.7	1.4	0.9	0.7	0.4	52.8%	55.4%	0.9
149	13.05	De'Anthony Melton SGGSW	49	23.0	24.1	163	12.3	3.2	2.6	1.6	0.4	1.5	40.7%	82.6%	1.9
150	13.06	Kyle Kuzma PFMIL	69	26.2	23.9	216	13.0	4.5	2.7	0.7	0.4	1.2	49.2%	72.6%	1.7
151	13.07	Tari Eason SGHOU	60	25.8	23.9	153	10.4	6.3	1.5	1.2	0.5	1.6	41.6%	77.6%	1.4
152	13.08	Cam Spencer SGMEM	72	23.8	23.8	117	11.1	2.5	5.6	0.7	0.2	2.0	47.3%	94.0%	1.3
153	13.09	Christian Braun SGDEN	44	31.8	23.7	162	12.0	4.8	2.7	0.7	0.3	1.0	51.9%	78.2%	1.0
154	13.10	Dylan Harper SGSAS	69	22.6	23.6	186	11.8	3.4	3.9	0.8	0.3	0.9	50.5%	75.6%	1.4
155	13.11	Aaron Nesmith SFIND	45	29.7	23.5	190	13.8	4.2	1.9	0.6	0.5	2.3	41.4%	82.9%	1.4
156	13.12	Jarace Walker PFIND	76	25.7	23.3	229	11.6	5.1	2.5	0.8	0.3	1.8	41.9%	74.9%	1.8
157	14.01	Jonathan Kuminga PFMINGTD	36	23.1	23.2	271	12.2	5.6	2.3	0.6	0.3	1.0	46.3%	72.4%	1.9
158	14.02	Julian Champagnie SFSAS	82	27.6	23.2	112	11.1	5.8	1.5	0.8	0.5	2.4	43.7%	84.4%	0.8
159	14.03	Mitchell Robinson CBOS	60	19.6	23.1	133	5.7	8.8	0.9	0.9	1.2	0.0	72.3%	40.8%	0.7
160	14.04	Sandro Mamukelashvili CLAL	80	21.9	23.0	127	11.2	4.9	1.9	0.8	0.5	1.4	52.3%	74.7%	0.8
161	14.05	Day'Ron Sharpe CBKNGTD	62	18.7	23.0	179	8.7	6.7	2.3	1.1	0.4	0.1	60.1%	67.8%	1.7
162	14.06	Cameron Johnson SFDEN	54	30.5	23.0	124	12.2	3.8	2.4	0.7	0.4	2.0	48.0%	83.9%	0.9
163	14.07	Keldon Johnson PFSAS	82	23.3	22.9	172	13.2	5.4	1.4	0.6	0.1	1.2	51.9%	79.4%	0.9
164	14.08	Jalen Smith CCHI	53	20.7	22.8	159	10.2	6.7	1.2	0.5	0.8	1.5	48.3%	74.2%	1.0
165	14.09	Jay Huff CIND	82	21.0	22.7	95	9.5	4.0	1.5	0.5	1.9	1.5	47.6%	82.8%	0.9
166	14.10	Royce O'Neale PFCHA	78	28.4	22.7	120	9.8	4.8	2.7	1.1	0.4	2.7	42.1%	71.1%	1.3
167	14.11	Noah Clowney PFBKN	66	27.0	22.4	206	12.3	4.1	1.6	0.8	0.7	2.0	39.6%	80.4%	1.5
168	14.12	Al Horford CGSW	45	21.5	22.4	126	8.3	4.9	2.6	0.7	1.1	1.6	42.6%	84.6%	0.9
169	15.01	Marvin Bagley CDEN	60	20.0	22.4	182	10.4	6.1	1.4	0.5	0.7	0.4	61.8%	66.0%	1.0
170	15.02	Brice Sensabaugh SFUTAGTD	75	23.5	22.4	204	14.9	3.1	1.9	0.7	0.2	2.2	46.0%	82.6%	1.7
171	15.03	Dennis Schröder PGCHA	70	24.2	22.4	253	10.8	2.7	4.9	0.8	0.2	1.1	40.5%	83.4%	1.8
172	15.04	GG Jackson PFMEM	55	21.4	22.4	211	12.5	4.3	1.5	0.6	0.8	1.2	49.6%	74.2%	1.5
173	15.05	De'Andre Hunter PFSAC	45	26.1	22.3	244	13.7	4.1	2.0	0.7	0.1	1.7	41.5%	86.7%	1.7
174	15.06	Dylan Cardwell CSACDTD	44	20.6	22.3	139	5.4	7.5	1.4	0.7	1.5	0.0	58.7%	51.0%	0.9
175	15.07	Moses Moody SFGSWOUT	60	25.7	22.2	134	12.1	3.3	1.6	1.0	0.6	2.5	44.0%	77.0%	0.9
176	15.08	Isaiah Stewart CMEMOUT	58	22.7	22.2	157	10.0	5.0	1.1	0.3	1.6	0.7	55.0%	75.6%	1.2
177	15.09	Jock Landale CATL	68	22.1	22.2	198	10.6	5.7	1.7	0.5	0.5	1.1	51.5%	63.5%	0.9
178	15.10	Cason Wallace SGOKCDTD	77	26.6	22.2	90	8.6	3.1	2.6	1.9	0.4	1.3	43.2%	80.9%	0.9
179	15.11	T.J. McConnell PGINDDTD	56	17.2	22.1	169	9.4	2.2	5.1	1.0	0.2	0.3	53.8%	86.2%	1.1
180	15.12	Robert Williams CPOR	59	17.1	22.1	105	6.7	7.0	1.0	0.6	1.5	0.2	70.8%	59.6%	0.8
181	16.01	Pelle Larsson SFMIADTD	70	26.4	22.0	218	11.4	3.5	3.4	0.7	0.2	0.9	49.6%	79.7%	1.4
182	16.02	Jordan Goodwin SGPHX	70	22.5	22.0	141	8.7	4.9	2.2	1.5	0.2	1.6	41.3%	69.6%	1.0
183	16.03	Herbert Jones SGNOP	56	28.4	21.9	158	8.9	3.4	2.8	1.6	0.5	1.4	38.3%	80.6%	1.3
184	16.04	Bub Carrington PGWAS	82	27.7	21.9	262	10.7	3.4	4.6	0.6	0.2	2.1	42.4%	73.0%	2.3
185	16.05	Collin Murray-Boyles CTOR	57	21.9	21.8	161	8.5	5.0	1.9	0.9	0.9	0.3	57.9%	65.7%	1.0
186	16.06	Andre Drummond CNYK	63	19.5	21.6	193	6.4	8.4	1.3	0.6	0.8	0.5	47.2%	63.1%	1.0
187	16.07	Anfernee Simons PGPHIDTD	55	24.9	21.5	203	14.3	2.5	2.4	0.5	0.1	2.7	44.0%	89.6%	1.2
188	16.08	Jordan Poole PGNOP	39	23.9	21.5	264	13.4	2.0	3.1	0.6	0.4	2.5	37.2%	86.0%	1.8
189	16.09	Steven Adams CHOUDTD	32	22.8	21.3	255	5.8	8.6	1.5	0.7	0.6	0.0	50.4%	58.0%	1.1
190	16.10	Kevin Huerter SGDET	69	22.4	21.2	178	10.0	3.5	2.6	0.9	0.5	1.4	45.1%	77.5%	1.0
191	16.11	Derrick Jones PFLAC	50	27.0	21.2	140	10.1	3.5	1.4	0.9	1.0	1.1	49.9%	76.3%	0.8
192	16.12	Miles McBride SGNYK	41	26.3	21.2	166	12.0	2.4	2.6	0.9	0.2	2.7	42.3%	78.7%	0.8
193	17.01	Marcus Smart SGHOU	62	28.5	21.0	175	9.3	2.8	3.0	1.4	0.4	1.6	39.5%	82.2%	1.5
194	17.02	Justin Champagnie PFWAS	69	20.0	20.9	154	8.7	5.6	1.2	0.9	0.6	0.8	50.2%	78.4%	0.7
195	17.03	Sam Merrill SGCLE	52	26.5	20.9	148	12.8	2.6	2.4	0.6	0.1	3.0	46.1%	85.5%	0.8
196	17.04	Egor Dëmin SGBKN	52	25.2	20.9	209	10.3	3.2	3.3	0.8	0.3	2.4	39.9%	83.1%	1.7
197	17.05	Obi Toppin PFIND	24	17.7	20.8	183	11.6	4.4	2.3	0.5	0.0	1.5	50.3%	91.3%	1.2
198	17.06	Jaylen Wells SFMEM	69	26.4	20.7	225	12.5	3.2	1.6	0.9	0.1	1.9	43.1%	78.4%	1.1
199	17.07	Max Christie SGDAL	77	29.1	20.7	180	12.3	3.2	2.0	0.6	0.4	2.3	44.1%	89.9%	1.2
200	17.08	Javon Small PGMEM	41	20.2	20.7	191	9.7	3.1	3.7	0.8	0.2	1.5	46.5%	82.9%	1.4

Worth more in points leagues than in 9-cat

Players this format ranks at least a full round (12 places) ahead of the 9-cat board, inside the top 120.

Jalen Green
SGPHX
#108 vs #212 9-cat
Ja Morant
PGPOR
#45 vs #147 9-cat
Stephon Castle
SGSAS
#48 vs #149 9-cat
Isaiah Collier
PGUTA
#114 vs #201 9-cat
Paolo Banchero
PFORL
#25 vs #111 9-cat
Shaedon Sharpe
SGPOROUT
#74 vs #156 9-cat
RJ Barrett
SFTOR
#71 vs #146 9-cat
Jaime Jaquez
PFMIL
#97 vs #164 9-cat
Pascal Siakam
PFIND
#28 vs #92 9-cat
Andrew Nembhard
PGIND
#68 vs #125 9-cat

How the board is built

Ranked on per-game production from real 2025-26 box scores, under each player's current team. Once the 2026-27 season tips off, every game played is blended in, last season counting as 15 games of evidence.

Points scoring is 1 per point, 1.2 per rebound, 1.5 per assist, 3 per steal, 3 per block, minus 1 per turnover. Where a player's next game already has posted lines, his page shows a market-based projection for that game as well.

There is no ADP column. No free draft-position feed lets us republish its numbers, so the Rd column is this board's own order laid over a 12-team draft, so rank 13 reads 2.01, the first pick of round two. Rookies have no NBA box scores yet and are not ranked here.

By position: point guards, shooting guards, small forwards, power forwards, centers. Draft kit: the printable cheat sheet, sleepers and busts.

Common questions

What scoring do these 2026-27 points league rankings use?
Fantasy points per game at 1 per point, 1.2 per rebound, 1.5 per assist, 3 per steal, 3 per block, minus 1 per turnover. That is close to the ESPN and Sleeper defaults; if your league weights a stat differently, read the order rather than the exact total.
Why do points leagues rank big men higher than 9-cat leagues do?
Points scoring never charges a player for a poor free throw or field goal percentage, and it pays 1.2 for every rebound and 3 for every block. A high-volume rebounder who shoots 60 percent from the line loses nothing here and loses a whole category in 9-cat.
How are the 2026-27 ranks built?
Ranked on per-game production from real 2025-26 box scores, under each player's current team. Once the 2026-27 season tips off, every game played is blended in, last season counting as 15 games of evidence. No expert opinion is mixed in.

By the Parlae deskBoard updated Oct 12, 2026 at 9:13 AM ETHow this is built Report a wrong number