What are the nine categories?

Points, rebounds, assists, steals, blocks, three-pointers made, field goal percentage, free throw percentage and turnovers, the default in ESPN, Yahoo and Sleeper category leagues. Fewer turnovers is better.

How is the 9-cat value worked out?

Each category is scored as a z-score against the top 156 players, the pool a 12-team league rosters, and the nine are added up. Percentages are weighted by attempts, so a high-volume shooter moves the category more than a low-volume one.

Can I use these rankings to punt a category?

Yes. Every player page lists the categories he helps and hurts. To punt one, skip the players whose value comes mostly from it and draft the ones it drags down; the 9-cat rankings guide walks through the arithmetic.

9-cat fantasy basketball rankings 2026-27

The top 200 players by 9-category value, led by Nikola Jokić, for head-to-head and roto category leagues. The Rd column is where each rank falls in a 12-team draft.

#	Rd	Player	GP	MIN	Z	Pts #	PTS	REB	AST	STL	BLK	3PM	FG%	FT%	TO
1	1.01	Nikola Jokić CDEN	65	34.8	10.6	1	27.7	12.9	10.7	1.4	0.8	1.7	56.9%	83.1%	3.7
2	1.02	Victor Wembanyama CSAS	64	29.2	9.6	3	25.0	11.5	3.1	1.0	3.1	1.9	51.2%	82.7%	2.4
3	1.03	Shai Gilgeous-Alexander PGOKCDTD	68	33.2	8.4	4	31.1	4.3	6.6	1.4	0.8	1.7	55.3%	87.9%	2.2
4	1.04	Kawhi Leonard SFTORDTD	65	32.1	7.2	9	27.9	6.4	3.6	1.9	0.4	2.6	50.5%	89.2%	2.0
5	1.05	Tyrese Maxey PGPHI	70	38.0	6.9	6	28.3	4.1	6.6	1.9	0.8	3.1	46.2%	89.2%	2.4
6	1.06	Luka Dončić PGLAL	64	35.8	6.2	2	33.5	7.7	8.3	1.6	0.5	4.0	47.6%	78.0%	4.0
7	1.07	Donovan Mitchell SGCLE	70	33.5	4.3	12	27.9	4.5	5.7	1.5	0.3	3.2	48.3%	86.5%	2.8
8	1.08	Lauri Markkanen PFUTAGTD	42	34.4	4.2	23	26.7	6.9	2.1	1.0	0.5	2.7	47.7%	89.6%	1.5
9	1.09	Jamal Murray PGDEN	75	35.4	3.9	16	25.4	4.4	7.1	0.9	0.4	3.3	48.3%	88.7%	2.3
10	1.10	Stephen Curry PGGSW	43	30.9	3.9	33	26.6	3.6	4.7	1.1	0.4	4.4	46.8%	92.3%	2.8
11	1.11	Trey Murphy SGNOP	66	35.5	3.8	41	21.5	5.7	3.8	1.5	0.4	3.2	47.0%	88.6%	1.8
12	1.12	Scottie Barnes PFTOR	80	33.5	3.7	19	18.1	7.5	5.9	1.4	1.4	0.8	50.7%	81.5%	2.6
13	2.01	Anthony Edwards SGMINGTD	61	35.0	3.4	14	28.8	5.0	3.7	1.4	0.8	3.4	48.9%	79.6%	2.9
14	2.02	Kevin Porter PGMIL	38	33.2	3.3	30	17.4	5.2	7.4	2.2	0.5	1.2	46.5%	87.8%	2.9
15	2.03	Kevin Durant SFHOUDTD	78	36.4	3.2	20	26.0	5.5	4.8	0.8	0.9	2.4	52.0%	87.4%	3.2
16	2.04	Cade Cunningham PGDETDTD	64	33.9	3.1	7	23.9	5.5	9.9	1.4	0.8	2.0	46.1%	81.2%	3.7
17	2.05	Jalen Johnson PFATL	72	35.2	3.1	8	22.5	10.3	7.9	1.2	0.4	1.7	48.9%	78.8%	3.4
18	2.06	Chet Holmgren COKCDTD	69	28.9	3.1	43	17.1	8.9	1.7	0.6	1.9	1.3	55.7%	79.2%	1.6
19	2.07	Anthony Davis CWAS	20	31.3	3.0	13	20.4	11.1	2.8	1.1	1.6	0.5	50.6%	72.8%	2.0
20	2.08	Jimmy Butler SFGSWOUT	38	31.1	2.9	42	20.0	5.6	4.9	1.4	0.2	0.8	51.9%	86.4%	1.6
21	2.09	Karl-Anthony Towns CNYK	75	31.0	2.6	27	20.1	11.9	3.0	0.9	0.5	1.5	50.1%	85.8%	2.5
22	2.10	Joel Embiid CPHIDTD	38	31.6	2.5	11	26.9	7.7	3.9	0.6	1.2	1.4	48.9%	85.4%	2.9
23	2.11	James Harden PGCLE	70	34.8	2.5	18	23.6	4.8	8.0	1.1	0.4	3.1	43.4%	88.4%	3.5
24	2.12	Austin Reaves SGLAL	51	34.5	2.1	36	23.3	4.7	5.5	1.1	0.4	2.3	49.0%	87.1%	3.0
25	3.01	Michael Porter SFBKNGTD	52	32.5	2.0	35	24.2	7.1	3.0	1.1	0.3	3.4	46.3%	85.9%	2.3
26	3.02	Nickeil Alexander-Walker SGATLGTD	78	33.4	2.0	55	20.8	3.4	3.7	1.3	0.5	3.2	45.9%	90.2%	2.1
27	3.03	Jalen Duren CDETDTD	70	28.2	1.9	37	19.5	10.5	2.0	0.8	0.8	0.0	65.0%	74.7%	1.9
28	3.04	Amen Thompson SGHOU	79	37.4	1.8	34	18.3	7.8	5.3	1.5	0.6	0.3	53.4%	77.9%	2.4
29	3.05	Derrick White SGBOS	77	34.1	1.6	47	16.5	4.4	5.4	1.1	1.3	2.7	39.4%	90.2%	1.7
30	3.06	Donovan Clingan CPOR	77	27.2	1.6	50	12.1	11.6	2.1	0.6	1.7	1.1	52.0%	68.0%	1.2
31	3.07	OG Anunoby PFNYK	67	33.2	1.5	77	16.7	5.2	2.2	1.6	0.7	2.3	48.4%	82.8%	1.8
32	3.08	Bam Adebayo CMIADTD	73	32.4	1.5	24	20.1	10.0	3.2	1.2	0.7	1.7	44.2%	77.8%	1.6
33	3.09	Paul George SFBOS	37	30.7	1.5	60	17.3	5.3	3.6	1.7	0.4	2.7	43.9%	82.0%	1.7
34	3.10	Onyeka Okongwu CATL	74	31.0	1.3	57	15.2	7.6	3.1	1.1	1.1	1.9	48.0%	75.7%	1.7
35	3.11	Cooper Flagg SGDAL	70	33.5	1.3	32	21.0	6.7	4.5	1.2	0.9	1.0	46.8%	82.7%	2.3
36	3.12	Keyonte George PGUTA	54	33.1	1.2	38	23.6	3.7	6.1	1.1	0.3	2.5	45.6%	89.2%	3.1
37	4.01	Desmond Bane SGORLDTD	82	33.6	1.2	58	20.1	4.1	4.1	1.0	0.5	2.0	48.4%	90.8%	2.0
38	4.02	Mikal Bridges SFNYK	82	32.8	1.1	93	14.4	3.8	3.7	1.3	0.8	1.9	49.0%	82.7%	1.0
39	4.03	Dyson Daniels SGATL	76	33.2	1.1	53	11.9	6.8	5.9	2.0	0.4	0.3	51.7%	61.5%	1.8
40	4.04	LaMelo Ball PGMINGTD	72	28.0	0.9	39	20.1	4.8	7.1	1.2	0.2	3.8	40.7%	89.9%	2.8
41	4.05	Evan Mobley CCLE	65	31.9	0.9	29	18.2	9.0	3.6	0.7	1.7	1.0	54.6%	60.6%	1.9
42	4.06	Alperen Şengün CHOUDTD	72	33.3	0.9	15	20.4	8.9	6.2	1.2	1.1	0.6	51.9%	69.1%	3.2
43	4.07	LeBron James PFPHIDTD	60	33.1	0.8	22	20.9	6.1	7.2	1.2	0.6	1.3	51.5%	73.7%	3.0
44	4.08	Jaren Jackson CUTA	48	30.3	0.8	52	19.4	5.7	2.0	1.1	1.4	1.8	47.6%	80.3%	2.2
45	4.09	Alex Sarr CWAS	48	27.2	0.7	44	16.3	7.4	2.7	0.8	2.0	1.0	48.2%	69.2%	1.7
46	4.10	Jalen Suggs PGORLDTD	57	27.6	0.7	76	13.8	3.9	5.5	1.8	0.7	2.1	43.5%	85.5%	2.7
47	4.11	Ryan Rollins PGMIL	74	32.1	0.6	54	17.3	4.6	5.6	1.5	0.4	2.5	47.2%	79.6%	2.7
48	4.12	Tyler Herro SGMIL	33	31.3	0.6	59	20.5	4.8	4.1	0.7	0.4	2.5	48.0%	91.7%	1.9
49	5.01	Jalen Brunson PGNYK	74	35.0	0.6	26	26.0	3.3	6.8	0.8	0.1	2.6	46.7%	84.1%	2.4
50	5.02	Giannis Antetokounmpo PFMIADTD	36	28.9	0.5	5	27.6	9.8	5.4	0.9	0.7	0.4	62.4%	65.0%	3.2
51	5.03	Immanuel Quickley PGTOR	70	31.9	0.5	66	16.4	4.0	5.9	1.3	0.1	2.5	44.3%	82.1%	1.5
52	5.04	Kel'el Ware CMIL	77	22.1	0.4	112	11.1	9.0	0.7	0.8	1.1	1.2	53.0%	74.0%	0.8
53	5.05	Brandon Miller SFCHA	65	30.3	0.3	61	20.2	4.9	3.3	1.0	0.7	3.1	43.5%	89.2%	2.5
54	5.06	VJ Edgecombe SGPHI	75	35.0	0.3	64	16.0	5.6	4.2	1.4	0.5	2.0	43.8%	81.8%	1.8
55	5.07	Jarrett Allen CCLE	56	27.1	0.3	69	15.4	8.5	1.8	1.0	0.8	0.0	63.8%	70.9%	1.3
56	5.08	Jaylen Brown SFPHIDTD	71	34.4	0.3	10	28.7	6.9	5.1	1.0	0.4	2.0	47.7%	79.5%	3.6
57	5.09	Nikola Vučević CORL	64	28.4	0.3	67	15.1	8.4	3.3	0.6	0.6	1.6	49.3%	82.8%	1.3
58	5.10	Andrew Wiggins SFMIADTD	68	30.3	0.3	89	15.4	4.8	2.7	1.1	1.0	2.0	47.5%	78.4%	1.5
59	5.11	Neemias Queta CBOS	76	25.3	0.2	107	10.2	8.4	1.7	0.8	1.3	0.0	65.3%	70.3%	1.0
60	5.12	Josh Giddey PGCHI	54	32.1	0.2	21	17.0	8.3	9.1	1.0	0.5	1.9	44.8%	76.3%	3.6
61	6.01	Jaden McDaniels SFMINGTD	73	31.7	0.0	105	14.8	4.2	2.7	1.1	1.0	1.4	51.5%	83.5%	1.8
62	6.02	Kon Knueppel SGCHADTD	81	31.5	-0.0	80	18.5	5.3	3.4	0.7	0.2	3.4	47.5%	86.3%	2.0
63	6.03	Devin Booker SGPHXDTD	64	33.5	-0.0	31	26.1	3.9	6.0	0.8	0.3	1.9	45.6%	87.3%	3.1
64	6.04	Mark Williams CPHXOUT	60	23.6	-0.1	116	11.7	8.0	1.0	0.9	0.9	0.0	64.4%	77.1%	1.1
65	6.05	Reed Sheppard PGHOU	82	26.2	-0.2	117	13.5	2.9	3.4	1.5	0.7	2.8	43.0%	80.2%	1.5
66	6.06	Matas Buzelis PFCHI	77	29.2	-0.3	78	16.3	5.8	2.1	0.7	1.5	2.2	46.3%	78.6%	2.1
67	6.07	Deni Avdija PFPOR	66	33.3	-0.4	17	24.2	6.9	6.7	0.8	0.6	1.9	46.2%	80.2%	3.8
68	6.08	Julius Randle PFBKN	79	33.0	-0.4	40	21.1	6.7	5.0	1.1	0.2	1.4	48.1%	80.2%	2.7
69	6.09	Norman Powell SFCHI	58	29.6	-0.4	73	21.7	3.5	2.5	1.1	0.2	2.7	47.0%	82.7%	1.9
70	6.10	Payton Pritchard PGBOS	79	32.4	-0.4	81	17.0	3.9	5.2	0.7	0.1	2.7	46.4%	89.0%	1.4
71	6.11	De'Aaron Fox PGSASGTD	72	31.0	-0.4	51	18.6	3.8	6.2	1.2	0.3	1.8	48.6%	76.0%	2.3
72	6.12	DeMar DeRozan SFDEN	77	31.2	-0.4	79	18.4	2.9	4.1	1.0	0.3	0.6	49.7%	86.8%	1.2
73	7.01	Kristaps Porziņģis CGSWDTD	32	24.0	-0.5	83	16.7	5.2	2.5	0.6	1.2	1.7	44.6%	84.2%	1.3
74	7.02	Tre Jones SGCHIDTD	65	27.0	-0.5	106	14.1	3.1	5.4	1.2	0.2	0.6	55.3%	84.1%	1.4
75	7.03	Franz Wagner SFORL	34	30.0	-0.5	56	20.6	5.2	3.3	0.9	0.3	1.4	48.1%	82.3%	1.7
76	7.04	Josh Hart SGNYK	66	30.2	-0.5	88	12.0	7.4	4.8	1.1	0.3	1.5	50.8%	72.0%	1.9
77	7.05	Rudy Gobert CMINGTD	76	31.3	-0.5	65	10.9	11.5	1.7	0.8	1.6	0.0	68.2%	52.6%	1.4
78	7.06	Brandon Ingram SFLACOUT	77	33.8	-0.6	46	21.5	5.6	3.7	0.8	0.7	1.8	47.7%	82.0%	2.4
79	7.07	Grayson Allen SFCHADTD	51	28.8	-0.6	99	16.5	3.0	3.8	1.4	0.3	3.1	40.3%	85.7%	1.6
80	7.08	Jabari Smith PFHOU	77	35.1	-0.6	86	15.8	6.9	1.9	0.7	0.9	2.3	45.0%	77.5%	1.4
81	7.09	Saddiq Bey SFNOP	72	31.2	-0.6	87	17.7	5.6	2.5	0.9	0.1	2.1	45.1%	84.1%	0.9
82	7.10	Keegan Murray PFSAC	23	34.5	-0.6	90	14.0	5.7	1.7	1.0	1.6	1.3	42.0%	77.6%	1.2
83	7.11	Jalen Williams PFOKCDTD	33	28.4	-0.6	63	17.1	4.6	5.5	1.2	0.3	0.7	48.4%	83.7%	1.9
84	7.12	Ausar Thompson SGDET	73	26.0	-0.7	101	9.9	5.7	3.1	2.0	0.9	0.1	52.5%	57.1%	1.5
85	8.01	Naz Reid CCHA	77	26.1	-0.7	102	13.6	6.2	2.2	1.0	1.0	2.1	45.6%	73.2%	1.6
86	8.02	Collin Gillespie PGPHX	80	28.5	-0.7	115	12.7	4.1	4.6	1.2	0.2	2.9	41.8%	87.4%	1.6
87	8.03	Myles Turner CMIL	71	26.9	-0.9	127	11.9	5.3	1.5	0.7	1.6	2.1	44.0%	74.0%	1.2
88	8.04	Donte DiVincenzo SGMINOUT	82	30.4	-1.0	124	12.2	4.1	3.8	1.3	0.4	3.0	40.6%	74.3%	1.4
89	8.05	Isaiah Hartenstein COKCDTD	47	24.2	-1.0	95	9.2	9.4	3.5	1.0	0.8	0.0	62.2%	61.0%	1.7
90	8.06	Cason Wallace SGOKCDTD	77	26.6	-1.1	178	8.6	3.1	2.6	1.9	0.4	1.3	43.2%	80.9%	0.9
91	8.07	Deandre Ayton CWAS	72	27.2	-1.1	119	12.5	8.0	0.8	0.6	1.0	0.0	67.1%	64.5%	1.2
92	8.08	Pascal Siakam PFIND	62	33.2	-1.1	28	24.0	6.6	3.8	1.1	0.4	1.7	48.4%	69.3%	2.2
93	8.09	Ayo Dosunmu SGMINGTD	69	27.3	-1.1	129	14.8	3.4	3.6	0.8	0.3	1.8	51.7%	87.6%	1.4
94	8.10	Ivica Zubac CIND	48	30.1	-1.1	72	14.1	10.6	2.2	0.4	0.8	0.0	59.8%	71.1%	1.8
95	8.11	Jay Huff CIND	82	21.0	-1.2	165	9.5	4.0	1.5	0.5	1.9	1.5	47.6%	82.8%	0.9
96	8.12	Kelly Oubre PFIND	50	31.5	-1.3	120	14.1	5.0	1.6	1.4	0.5	1.7	46.7%	76.6%	1.4
97	9.01	Ajay Mitchell PGOKCDTD	57	25.8	-1.3	128	13.6	3.3	3.6	1.2	0.3	1.1	48.5%	87.0%	1.4
98	9.02	Santi Aldama PFDALDTD	43	27.9	-1.3	91	14.0	6.7	2.9	0.9	0.7	1.6	47.9%	66.7%	1.3
99	9.03	Darius Garland PGLAC	45	29.9	-1.3	70	18.8	2.4	6.7	1.0	0.2	2.7	46.0%	86.1%	2.9
100	9.04	Kyshawn George SFWAS	48	29.0	-1.3	82	14.8	5.1	4.5	1.0	0.9	2.1	43.8%	80.2%	2.6
101	9.05	Jrue Holiday PGPOR	53	29.4	-1.3	75	16.3	4.6	6.1	1.0	0.1	2.6	45.1%	83.8%	2.8
102	9.06	Zion Williamson PFNOP	62	29.7	-1.4	49	21.0	5.7	3.2	1.0	0.5	0.0	60.0%	71.6%	2.0
103	9.07	Miles Bridges PFPHXDTD	77	31.0	-1.4	85	17.1	5.8	3.2	0.6	0.4	1.9	46.0%	82.2%	1.4
104	9.08	John Collins PFDET	69	27.1	-1.4	140	13.6	5.3	1.0	0.9	0.7	1.3	55.2%	76.6%	1.4
105	9.09	Robert Williams CPOR	59	17.1	-1.4	180	6.7	7.0	1.0	0.6	1.5	0.2	70.8%	59.6%	0.8
106	9.10	Tobias Harris PFSASDTD	63	27.7	-1.4	132	13.3	5.1	2.5	0.9	0.4	1.3	46.9%	86.6%	1.0
107	9.11	Wendell Carter CORL	78	29.3	-1.6	123	11.8	7.4	2.0	0.8	0.6	0.9	51.2%	79.2%	1.3
108	9.12	Peyton Watson SFCLE	54	29.6	-1.6	109	14.6	4.9	2.1	0.9	1.1	1.5	49.1%	73.0%	1.7
109	10.01	Jakob Poeltl CTOR	46	25.0	-1.6	133	10.7	7.0	2.0	0.9	0.7	0.0	70.0%	60.2%	1.2
110	10.02	Moussa Diabaté CCHA	73	26.0	-1.6	134	7.9	8.7	1.9	0.8	1.0	0.0	63.1%	65.9%	1.0
111	10.03	Paolo Banchero PFORL	72	34.8	-1.6	25	22.2	8.4	5.2	0.7	0.6	1.2	45.9%	77.5%	3.1
112	10.04	Julian Champagnie SFSAS	82	27.6	-1.7	158	11.1	5.8	1.5	0.8	0.5	2.4	43.7%	84.4%	0.8
113	10.05	CJ McCollum PGATL	76	29.8	-1.7	84	18.7	3.3	3.9	0.8	0.5	2.5	45.5%	77.2%	1.8
114	10.06	Brandin Podziemski PGGSW	82	28.5	-1.7	113	13.8	5.1	3.7	1.1	0.2	1.9	45.5%	79.7%	1.6
115	10.07	Jusuf Nurkić CUTAOUT	41	26.4	-1.7	62	10.9	10.4	4.8	1.3	0.5	0.6	50.3%	54.9%	2.5
116	10.08	Devin Vassell SFSAS	67	30.5	-1.8	136	13.9	4.0	2.5	0.9	0.4	2.5	43.7%	81.5%	0.9
117	10.09	Cam Spencer SGMEM	72	23.8	-1.8	152	11.1	2.5	5.6	0.7	0.2	2.0	47.3%	94.0%	1.3
118	10.10	Toumani Camara SFPOR	82	33.3	-1.8	131	13.4	5.1	2.5	1.1	0.4	2.7	44.0%	70.8%	1.8
119	10.11	Zach LaVine SGSAC	39	31.4	-1.8	118	19.2	2.8	2.3	0.7	0.3	2.5	47.9%	88.0%	1.9
120	10.12	Royce O'Neale PFCHA	78	28.4	-1.8	166	9.8	4.8	2.7	1.1	0.4	2.7	42.1%	71.1%	1.3
121	11.01	Daniel Gafford CDAL	55	21.7	-1.9	144	9.5	6.9	1.1	0.8	1.3	0.0	65.5%	68.3%	1.1
122	11.02	Aaron Gordon PFDEN	36	27.9	-1.9	103	16.2	5.8	2.7	0.6	0.3	1.7	49.7%	76.7%	1.1
123	11.03	Anthony Black SGORLDTD	64	29.8	-1.9	96	15.0	3.8	3.7	1.4	0.7	1.6	44.7%	73.2%	2.1
124	11.04	Cameron Johnson SFDEN	54	30.5	-1.9	162	12.2	3.8	2.4	0.7	0.4	2.0	48.0%	83.9%	0.9
125	11.05	Andrew Nembhard PGIND	57	31.3	-1.9	68	16.9	2.8	7.7	0.9	0.1	1.9	44.2%	82.5%	2.4
126	11.06	Al Horford CGSW	45	21.5	-2.0	168	8.3	4.9	2.6	0.7	1.1	1.6	42.6%	84.6%	0.9
127	11.07	Sandro Mamukelashvili CLAL	80	21.9	-2.0	160	11.2	4.9	1.9	0.8	0.5	1.4	52.3%	74.7%	0.8
128	11.08	P.J. Washington PFDAL	56	31.0	-2.0	92	14.2	7.0	1.8	1.0	1.1	1.4	45.0%	68.7%	1.7
129	11.09	Bilal Coulibaly SFWAS	56	26.2	-2.0	126	11.7	4.3	2.6	1.3	1.0	1.2	42.5%	74.6%	1.4
130	11.10	Derik Queen CNOP	81	25.0	-2.0	98	11.7	7.1	3.7	1.0	0.9	0.3	47.3%	79.5%	2.3
131	11.11	Matisse Thybulle SFLAL	30	16.0	-2.1	269	5.8	2.0	0.9	2.0	0.5	1.2	43.3%	84.0%	0.9
132	11.12	Jaylon Tyson SFCLE	66	26.9	-2.1	139	13.2	5.1	2.2	0.8	0.4	2.0	49.3%	73.8%	1.5
133	12.01	Mitchell Robinson CBOS	60	19.6	-2.1	159	5.7	8.8	0.9	0.9	1.2	0.0	72.3%	40.8%	0.7
134	12.02	Moses Moody SFGSWOUT	60	25.7	-2.2	175	12.1	3.3	1.6	1.0	0.6	2.5	44.0%	77.0%	0.9
135	12.03	Kyle Filipowski CUTADTD	77	23.4	-2.2	122	11.4	7.2	2.6	0.9	0.5	1.0	49.2%	75.0%	1.6
136	12.04	Ryan Kalkbrenner CCHA	69	21.4	-2.2	205	7.6	5.5	0.8	0.5	1.5	0.0	75.3%	71.6%	0.9
137	12.05	Luke Kornet CSAS	68	21.0	-2.3	203	6.5	6.1	1.9	0.5	1.0	0.0	64.3%	82.5%	0.4
138	12.06	Nic Claxton CCHIDTD	69	27.8	-2.3	94	11.7	6.9	3.7	0.7	1.1	0.0	57.1%	61.6%	1.4
139	12.07	Dylan Cardwell CSACDTD	44	20.6	-2.3	174	5.4	7.5	1.4	0.7	1.5	0.0	58.7%	51.0%	0.9
140	12.08	Derrick Jones PFLAC	50	27.0	-2.3	191	10.1	3.5	1.4	0.9	1.0	1.1	49.9%	76.3%	0.8
141	12.09	Jordan Goodwin SGPHX	70	22.5	-2.3	182	8.7	4.9	2.2	1.5	0.2	1.6	41.3%	69.6%	1.0
142	12.10	Bobby Portis CMIA	67	24.2	-2.3	138	13.7	6.4	1.6	0.6	0.2	2.0	48.8%	70.6%	1.0
143	12.11	Maxime Raynaud CSACOUT	74	26.5	-2.4	135	12.5	7.5	1.4	0.5	0.5	0.3	57.1%	78.6%	1.3
144	12.12	Jerami Grant PFMEM	57	29.7	-2.4	110	18.6	3.5	2.1	0.7	0.6	2.4	45.3%	81.4%	2.1
145	13.01	Cedric Coward SGMEM	62	25.8	-2.4	125	13.6	5.9	2.8	0.6	0.4	1.5	47.1%	84.3%	1.7
146	13.02	RJ Barrett SFTOR	57	30.3	-2.4	71	19.3	5.3	3.3	0.7	0.3	1.7	49.1%	71.7%	1.7
147	13.03	Ja Morant PGPOR	20	28.4	-2.4	45	19.4	3.3	8.1	1.0	0.3	1.0	41.0%	89.7%	3.5
148	13.04	Sam Merrill SGCLE	52	26.5	-2.4	195	12.8	2.6	2.4	0.6	0.1	3.0	46.1%	85.5%	0.8
149	13.05	Stephon Castle SGSAS	68	30.0	-2.5	48	16.7	5.3	7.4	1.1	0.3	1.2	47.1%	73.4%	3.2
150	13.06	Kris Dunn SGLAC	82	27.2	-2.5	202	7.3	3.3	3.6	1.6	0.2	1.0	47.6%	76.5%	1.4
151	13.07	Collin Sexton SGLALDTD	68	23.7	-2.5	141	15.4	2.3	3.3	1.1	0.1	1.6	48.5%	85.5%	2.1
152	13.08	Naji Marshall SFDAL	74	29.5	-2.5	111	15.2	4.7	3.3	1.1	0.1	0.8	51.0%	76.0%	1.6
153	13.09	Tari Eason SGHOU	60	25.8	-2.6	151	10.4	6.3	1.5	1.2	0.5	1.6	41.6%	77.6%	1.4
154	13.10	Justin Champagnie PFWAS	69	20.0	-2.6	194	8.7	5.6	1.2	0.9	0.6	0.8	50.2%	78.4%	0.7
155	13.11	Dillon Brooks SFPHX	56	30.4	-2.6	100	20.2	3.6	1.8	1.0	0.2	2.3	43.5%	84.2%	1.8
156	13.12	Shaedon Sharpe SGPOROUT	50	29.4	-2.6	74	20.8	4.3	2.6	1.4	0.1	2.1	45.2%	78.7%	2.9
157	14.01	Isaiah Stewart CMEMOUT	58	22.7	-2.7	176	10.0	5.0	1.1	0.3	1.6	0.7	55.0%	75.6%	1.2
158	14.02	Herbert Jones SGNOP	56	28.4	-2.7	183	8.9	3.4	2.8	1.6	0.5	1.4	38.3%	80.6%	1.3
159	14.03	Jalen Smith CCHI	53	20.7	-2.7	164	10.2	6.7	1.2	0.5	0.8	1.5	48.3%	74.2%	1.0
160	14.04	Bennedict Mathurin SFNOP	54	30.0	-2.7	104	17.6	5.4	2.4	0.8	0.2	1.4	43.0%	86.9%	2.2
161	14.05	Collin Murray-Boyles CTOR	57	21.9	-2.7	185	8.5	5.0	1.9	0.9	0.9	0.3	57.9%	65.7%	1.0
162	14.06	Christian Braun SGDEN	44	31.8	-2.8	153	12.0	4.8	2.7	0.7	0.3	1.0	51.9%	78.2%	1.0
163	14.07	De'Anthony Melton SGGSW	49	23.0	-2.9	149	12.3	3.2	2.6	1.6	0.4	1.5	40.7%	82.6%	1.9
164	14.08	Jaime Jaquez PFMIL	75	28.3	-2.9	97	15.4	5.0	4.7	0.7	0.3	0.8	50.7%	76.9%	2.0
165	14.09	Quentin Grimes SGLAL	75	29.4	-2.9	143	13.4	3.6	3.3	0.9	0.4	1.7	45.0%	84.0%	1.8
166	14.10	Miles McBride SGNYK	41	26.3	-2.9	192	12.0	2.4	2.6	0.9	0.2	2.7	42.3%	78.7%	0.8
167	14.11	Davion Mitchell PGMIADTD	70	28.6	-2.9	147	9.3	2.7	6.5	1.0	0.2	1.3	49.0%	64.6%	1.5
168	14.12	Ace Bailey SFUTA	72	27.6	-3.0	142	13.8	4.2	1.8	0.8	0.7	1.9	44.3%	75.0%	1.5
169	15.01	T.J. McConnell PGINDDTD	56	17.2	-3.0	179	9.4	2.2	5.1	1.0	0.2	0.3	53.8%	86.2%	1.1
170	15.02	Isaiah Joe SGDET	71	21.2	-3.0	236	11.1	2.5	1.3	0.7	0.2	2.5	45.5%	89.4%	0.6
171	15.03	Duncan Robinson SFDET	77	27.4	-3.1	204	12.2	2.7	2.1	0.6	0.3	2.9	45.6%	75.5%	0.7
172	15.04	Keldon Johnson PFSAS	82	23.3	-3.1	163	13.2	5.4	1.4	0.6	0.1	1.2	51.9%	79.4%	0.9
173	15.05	Paul Reed CDET	65	13.9	-3.1	213	7.8	4.5	1.2	0.9	0.9	0.2	61.7%	66.4%	0.9
174	15.06	Ziaire Williams SFLALDTD	56	22.9	-3.1	223	10.2	2.4	1.1	1.4	0.4	1.5	42.5%	85.0%	1.1
175	15.07	Marcus Smart SGHOU	62	28.5	-3.2	193	9.3	2.8	3.0	1.4	0.4	1.6	39.5%	82.2%	1.5
176	15.08	Precious Achiuwa PFSAC	73	23.9	-3.2	148	10.1	6.7	1.4	0.9	0.7	0.4	52.8%	55.4%	0.9
177	15.09	Jake LaRavia SFLAL	82	25.1	-3.2	209	8.2	4.0	1.8	1.3	0.5	1.0	45.9%	76.3%	1.1
178	15.10	Kevin Huerter SGDET	69	22.4	-3.2	190	10.0	3.5	2.6	0.9	0.5	1.4	45.1%	77.5%	1.0
179	15.11	Day'Ron Sharpe CBKNGTD	62	18.7	-3.2	161	8.7	6.7	2.3	1.1	0.4	0.1	60.1%	67.8%	1.7
180	15.12	Max Christie SGDAL	77	29.1	-3.3	199	12.3	3.2	2.0	0.6	0.4	2.3	44.1%	89.9%	1.2
181	16.01	Tristan da Silva SFORL	77	24.7	-3.3	215	9.9	3.7	1.6	0.9	0.3	1.6	45.0%	88.4%	0.9
182	16.02	Marvin Bagley CDEN	60	20.0	-3.3	169	10.4	6.1	1.4	0.5	0.7	0.4	61.8%	66.0%	1.0
183	16.03	Obi Toppin PFIND	24	17.7	-3.4	197	11.6	4.4	2.3	0.5	0.0	1.5	50.3%	91.3%	1.2
184	16.04	Brook Lopez CLAC	75	21.8	-3.4	221	8.5	3.6	1.3	0.6	1.2	1.5	42.8%	75.7%	0.8
185	16.05	Tim Hardaway SFMIA	80	26.6	-3.4	207	13.5	2.6	1.4	0.5	0.1	2.8	44.7%	81.1%	0.5
186	16.06	Dylan Harper SGSAS	69	22.6	-3.4	154	11.8	3.4	3.9	0.8	0.3	0.9	50.5%	75.6%	1.4
187	16.07	Dominick Barlow PFPHIDTD	71	23.8	-3.5	217	7.7	4.8	1.2	0.9	0.7	0.3	53.9%	71.8%	0.8
188	16.08	Micah Potter CPOR	47	19.3	-3.5	220	9.7	5.0	1.5	0.5	0.3	1.5	51.5%	84.2%	1.0
189	16.09	Draymond Green PFGSW	68	27.5	-3.5	137	8.4	5.5	5.5	0.9	0.6	1.5	41.8%	70.2%	2.7
190	16.10	Aaron Nesmith SFIND	45	29.7	-3.6	155	13.8	4.2	1.9	0.6	0.5	2.3	41.4%	82.9%	1.4
191	16.11	Javon Small PGMEM	41	20.2	-3.6	200	9.7	3.1	3.7	0.8	0.2	1.5	46.5%	82.9%	1.4
192	16.12	Goga Bitadze CORL	64	15.2	-3.6	244	5.9	5.0	1.3	0.6	1.0	0.0	67.6%	71.1%	0.7
193	17.01	Andre Drummond CNYK	63	19.5	-3.6	186	6.4	8.4	1.3	0.6	0.8	0.5	47.2%	63.1%	1.0
194	17.02	Javonte Green SFDET	82	17.6	-3.7	285	6.9	2.8	0.7	1.2	0.3	1.1	44.7%	84.0%	0.5
195	17.03	Jeremiah Fears PGNOP	82	25.8	-3.7	130	14.3	3.7	3.4	1.2	0.4	1.2	43.4%	78.9%	2.2
196	17.04	Jaylin Williams COKCDTD	65	19.6	-3.7	208	7.2	5.5	2.4	0.5	0.6	1.5	42.3%	79.3%	1.0
197	17.05	Sam Hauser PFBOS	78	24.8	-3.7	239	9.2	3.8	1.5	0.5	0.3	2.5	41.9%	85.0%	0.4
198	17.06	Jock Landale CATL	68	22.1	-3.8	177	10.6	5.7	1.7	0.5	0.5	1.1	51.5%	63.5%	0.9
199	17.07	Dru Smith PGMIADTD	70	16.3	-3.8	261	5.6	2.5	2.6	1.4	0.3	0.5	41.5%	82.9%	0.8
200	17.08	Rui Hachimura PFLAC	68	28.3	-3.8	229	11.5	3.3	0.8	0.6	0.3	1.7	51.4%	69.4%	0.6

Worth more in 9-cat leagues than in points

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

Cason Wallace
SGOKCDTD
#90 vs #178 points
Robert Williams
CPOR
#105 vs #180 points
Jay Huff
CIND
#95 vs #165 points
Kel'el Ware
CMIL
#52 vs #112 points
Mikal Bridges
SFNYK
#38 vs #93 points
Mark Williams
CPHXOUT
#64 vs #116 points
Reed Sheppard
PGHOU
#65 vs #117 points
Neemias Queta
CBOS
#59 vs #107 points
OG Anunoby
PFNYK
#31 vs #77 points
Julian Champagnie
SFSAS
#112 vs #158 points

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 are the nine categories?
Points, rebounds, assists, steals, blocks, three-pointers made, field goal percentage, free throw percentage and turnovers, the default in ESPN, Yahoo and Sleeper category leagues. Fewer turnovers is better.
How is the 9-cat value worked out?
Each category is scored as a z-score against the top 156 players, the pool a 12-team league rosters, and the nine are added up. Percentages are weighted by attempts, so a high-volume shooter moves the category more than a low-volume one.
Can I use these rankings to punt a category?
Yes. Every player page lists the categories he helps and hurts. To punt one, skip the players whose value comes mostly from it and draft the ones it drags down; the 9-cat rankings guide walks through the arithmetic.
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