What scoring do the points 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. Leagues on ESPN, Yahoo and Sleeper weight things a little differently, so read FP/G as an order, not your league's exact score.

How is the 9-category rank worked out?

Each player's per-game points, rebounds, assists, steals, blocks, threes, field goal and free throw percentage and turnovers are scored against the top 156 players, the pool a 12-team league rosters. Percentages are weighted by attempts, so a high-volume shooter moves the category more than a low-volume one. The nine scores are added up.

Do the rankings account for injuries and games played?

Ranks are per game. Games played are printed beside every player and current injury designations are flagged, so you can discount a player who misses time. A player listed Out is not removed from the board.

NBA fantasy rankings 2026-27

The top 200 players for points and 9-category leagues, ranked on real per-game production. Switch the scoring to reorder the board.

#	Player	GP	MIN	FP/G	9-cat	PTS	REB	AST	STL	BLK	3PM	FG%	FT%	TO
1	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	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	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	Shai Gilgeous-Alexander PGOKC	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	Giannis Antetokounmpo PFMIA	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	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	Cade Cunningham PGDET	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	Jalen Johnson PFATLGTD	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	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	Jaylen Brown SFPHI	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	Joel Embiid CPHI	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	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	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	Anthony Edwards SGMIN	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	Alperen Şengün CHOU	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	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	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	James Harden PGCLEDTD	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	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	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	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	LeBron James PFPHI	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	Lauri Markkanen PFUTADTD	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	Bam Adebayo CMIA	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	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	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	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	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	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	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	Devin Booker SGPHX	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	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	Stephen Curry PGGSWGTD	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	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	Michael Porter SFBKNDTD	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	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	Jalen Duren CDETGTD	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	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	LaMelo Ball PGMIN	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	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	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	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	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	Alex Sarr CWASGTD	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	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	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	Derrick White SGBOSGTD	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	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	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	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	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	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	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	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	Nickeil Alexander-Walker SGATL	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	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	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	Desmond Bane SGORL	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	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	Paul George SFBOSGTD	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	Brandon Miller SFCHADTD	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	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	Jalen Williams PFOKC	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	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	Rudy Gobert CMIN	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	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	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	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	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	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	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	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	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	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	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	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	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	Matas Buzelis PFCHIDTD	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	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	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	Payton Pritchard PGBOSGTD	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	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	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	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	Miles Bridges PFPHXGTD	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	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	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	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	Andrew Wiggins SFMIA	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	Keegan Murray PFSACGTD	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	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	P.J. Washington PFDALDTD	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	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	Nic Claxton CCHIOUT	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	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	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	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	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	Grayson Allen SFCHA	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	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	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	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	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	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	Jaden McDaniels SFMIN	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	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	Neemias Queta CBOSGTD	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	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	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	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	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	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	Brandin Podziemski PGGSWGTD	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	Ajay Mitchell PGOKC	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	Ayo Dosunmu SGMIN	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	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	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	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	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	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	Maxime Raynaud CSAC	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	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	Draymond Green PFGSWGTD	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	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	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	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	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	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	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	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	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	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	Davion Mitchell PGMIA	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	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	De'Anthony Melton SGGSWGTD	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	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	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	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	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	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	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	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	Jonathan Kuminga PFMIN	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	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	Mitchell Robinson CBOSGTD	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	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	Day'Ron Sharpe CBKNDTD	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	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	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	Jalen Smith CCHIDTD	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	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	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	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	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	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	Brice Sensabaugh SFUTADTD	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	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	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	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	Dylan Cardwell CSAC	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	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	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	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	Cason Wallace SGOKC	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	T.J. McConnell PGINDGTD	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	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	Pelle Larsson SFMIAGTD	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	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	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	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	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	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	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	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	Steven Adams CHOU	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	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	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	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	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	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	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	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	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	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	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	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

Market-based projections for the next game

Fantasy points per game projected from posted player lines, for the 15 players whose next game is already priced, starting Oct 20.

Victor Wembanyama
CSAS
50.5
vs OKC
Cade Cunningham
PGDET
47.7
vs BOS
Shai Gilgeous-Alexander
PGOKC
44.9
vs SAS
LeBron James
PFPHI
38.6
vs NYK
Jalen Brunson
PGNYK
37.7
vs PHI
Paul George
SFBOSGTD
35.6
vs DET
Derrick White
SGBOSGTD
31.8
vs DET
Ausar Thompson
SGDET
30.0
vs BOS
Jalen Williams
PFOKC
30.0
vs SAS
De'Aaron Fox
PGSASGTD
28.9
vs OKC
Stephon Castle
SGSAS
28.1
vs OKC

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.

By position: point guards, shooting guards, small forwards, power forwards, centers.

Common questions

How are these NBA fantasy rankings for 2026-27 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. A player needs 20 games last season or 5 this season to be ranked. No expert opinion is mixed in.
What scoring do the points 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. Leagues on ESPN, Yahoo and Sleeper weight things a little differently, so read FP/G as an order, not your league's exact score.
How is the 9-category rank worked out?
Each player's per-game points, rebounds, assists, steals, blocks, threes, field goal and free throw percentage and turnovers are scored against the top 156 players, the pool a 12-team league rosters. Percentages are weighted by attempts, so a high-volume shooter moves the category more than a low-volume one. The nine scores are added up.
Do the rankings account for injuries and games played?
Ranks are per game. Games played are printed beside every player and current injury designations are flagged, so you can discount a player who misses time. A player listed Out is not removed from the board.

By the Parlae deskBoard updated Oct 10, 2026 at 11:27 AM ETHow this is built Report a wrong number