How are roto rankings different from head-to-head 9-cat?

Roto adds up the whole season in each category, so a player who misses 20 games gives those 20 games away, where head-to-head only asks what he does in the weeks he plays. These ranks value the same nine categories on season totals: per-game production times the share of games each player has played.

Are percentages handled differently in roto?

No. FG% and FT% are still valued by attempts against the top 156 players, and the attempts are season attempts, so a high-volume shooter who plays every night moves the category most.

Board updated Oct 18, 2026, from the latest box scores and injury reports.

Roto fantasy basketball rankings 2026-27

The top 396 for rotisserie leagues: the nine categories as season totals, so a player who misses games gives them away. Nikola Jokić leads.

Rechecked every 30 minutes.

Roto 9-cat. Valued on 9 categories: PTS, REB, AST, STL, BLK, 3PM, FG%, FT%, TO (roto: season totals, so games played count).

Position

#	Rd	Player	Value	9-cat	GP	Games	MIN	PTS	REB	AST	STL	BLK	3PM	FG%	FT%	TO
1	1.01	Nikola Jokić CDEN	+10.2	1	65	79%	34.8	27.7	12.9	10.7	1.4	0.8	1.7	56.9%	83.1%	3.7
2	1.02	Shai Gilgeous-Alexander PGOKC	+9.2	3	68	83%	33.2	31.1	4.3	6.6	1.4	0.8	1.7	55.3%	87.9%	2.2
3	1.03	Victor Wembanyama CSAS	+8.8	2	64	78%	29.2	25.0	11.5	3.1	1.0	3.1	1.9	51.2%	82.7%	2.4
4	1.04	Tyrese Maxey PGPHI	+7.8	5	70	85%	38.0	28.3	4.1	6.6	1.9	0.8	3.1	46.2%	89.2%	2.4
5	1.05	Kawhi Leonard SF/SGTOR	+6.9	4	65	79%	32.1	27.9	6.4	3.6	1.9	0.4	2.6	50.5%	89.2%	2.0
6	1.06	Scottie Barnes PF/SFTOR	+6.6	12	80	98%	33.5	18.1	7.5	5.9	1.4	1.4	0.8	50.7%	81.5%	2.6
7	1.07	Jamal Murray PGDEN	+6.0	9	75	91%	35.4	25.4	4.4	7.1	0.9	0.4	3.3	48.3%	88.7%	2.3
8	1.08	Kevin Durant SF/PFHOU	+6.0	15	78	95%	36.4	26.0	5.5	4.8	0.8	0.9	2.4	52.0%	87.4%	3.2
9	1.09	Donovan Mitchell SG/PGCLE	+5.2	7	70	85%	33.5	27.9	4.5	5.7	1.5	0.3	3.2	48.3%	86.5%	2.8
10	1.10	Luka Dončić PGLAL	+5.1	6	64	78%	35.8	33.5	7.7	8.3	1.6	0.5	4.0	47.6%	78.0%	4.0
11	1.11	Karl-Anthony Towns C/PFNYK	+4.4	21	75	91%	31.0	20.1	11.9	3.0	0.9	0.5	1.5	50.1%	85.8%	2.5
12	1.12	Nickeil Alexander-Walker SG/PGATL	+4.3	26	78	95%	33.4	20.8	3.4	3.7	1.3	0.5	3.2	45.9%	90.2%	2.1

#	Rd	Player	Value	9-cat	GP	Games	MIN	PTS	REB	AST	STL	BLK	3PM	FG%	FT%	TO
13	2.01	Desmond Bane SG/PGORL	+4.2	37	82	100%	33.6	20.1	4.1	4.1	1.0	0.5	2.0	48.4%	90.8%	2.0
14	2.02	Amen Thompson SG/PG/SFHOU	+4.1	28	79	96%	37.4	18.3	7.8	5.3	1.5	0.6	0.3	53.4%	77.9%	2.4
15	2.03	Jalen Johnson PF/SFATL	+4.1	17	72	88%	35.2	22.5	10.3	7.9	1.2	0.4	1.7	48.9%	78.8%	3.4
16	2.04	Mikal Bridges SF/SG/PFNYK	+3.9	38	82	100%	32.8	14.4	3.8	3.7	1.3	0.8	1.9	49.0%	82.7%	1.0
17	2.05	Chet Holmgren C/PFOKCDTD	+3.7	18	69	84%	28.9	17.1	8.9	1.7	0.6	1.9	1.3	55.7%	79.2%	1.6
18	2.06	Trey Murphy SG/SFNOP	+3.7	11	66	80%	35.5	21.5	5.7	3.8	1.5	0.4	3.2	47.0%	88.6%	1.8
19	2.07	Derrick White SG/PGBOS	+3.5	29	77	94%	34.1	16.5	4.4	5.4	1.1	1.3	2.7	39.4%	90.2%	1.7
20	2.08	James Harden PGCLE	+3.4	23	70	85%	34.8	23.6	4.8	8.0	1.1	0.4	3.1	43.4%	88.4%	3.5
21	2.09	Donovan Clingan CPOR	+3.4	30	77	94%	27.2	12.1	11.6	2.1	0.6	1.7	1.1	52.0%	68.0%	1.2
22	2.10	Jalen Duren CDET	+2.6	27	70	85%	28.2	19.5	10.5	2.0	0.8	0.8	0.0	65.0%	74.7%	1.9
23	2.11	Cade Cunningham PGDET	+2.6	16	64	78%	33.9	23.9	5.5	9.9	1.4	0.8	2.0	46.1%	81.2%	3.7
24	2.12	Onyeka Okongwu CATL	+2.6	34	74	90%	31.0	15.2	7.6	3.1	1.1	1.1	1.9	48.0%	75.7%	1.7
25	3.01	Dyson Daniels SG/SFATL	+2.5	39	76	93%	33.2	11.9	6.8	5.9	2.0	0.4	0.3	51.7%	61.5%	1.8
26	3.02	Kon Knueppel SG/SFCHADTD	+2.4	62	81	99%	31.5	18.5	5.3	3.4	0.7	0.2	3.4	47.5%	86.3%	2.0
27	3.03	Bam Adebayo C/PFMIADTD	+2.4	32	73	89%	32.4	20.1	10.0	3.2	1.2	0.7	1.7	44.2%	77.8%	1.6
28	3.04	Anthony Edwards SG/PGMIN	+2.2	13	61	74%	35.0	28.8	5.0	3.7	1.4	0.8	3.4	48.9%	79.6%	2.9
29	3.05	Kel'el Ware C/PFMIL	+2.1	52	77	94%	22.1	11.1	9.0	0.7	0.8	1.1	1.2	53.0%	74.0%	0.8
30	3.06	Reed Sheppard PG/SGHOU	+2.1	65	82	100%	26.2	13.5	2.9	3.4	1.5	0.7	2.8	43.0%	80.2%	1.5
31	3.07	Jalen Brunson PGNYK	+2.0	49	74	90%	35.0	26.0	3.3	6.8	0.8	0.1	2.6	46.7%	84.1%	2.4
32	3.08	Cooper Flagg SG/PG/SFDAL	+1.9	35	70	85%	33.5	21.0	6.7	4.5	1.2	0.9	1.0	46.8%	82.7%	2.3
33	3.09	Neemias Queta CBOS	+1.9	59	76	93%	25.3	10.2	8.4	1.7	0.8	1.3	0.0	65.3%	70.3%	1.0
34	3.10	Ryan Rollins PGMIL	+1.8	47	74	90%	32.1	17.3	4.6	5.6	1.5	0.4	2.5	47.2%	79.6%	2.7
35	3.11	LaMelo Ball PGMIN	+1.8	40	72	88%	28.0	20.1	4.8	7.1	1.2	0.2	3.8	40.7%	89.9%	2.8
36	3.12	Payton Pritchard PG/SGBOS	+1.7	70	79	96%	32.4	17.0	3.9	5.2	0.7	0.1	2.7	46.4%	89.0%	1.4

Your next move

#	Rd	Player	Value	9-cat	GP	Games	MIN	PTS	REB	AST	STL	BLK	3PM	FG%	FT%	TO
37	4.01	OG Anunoby PF/SFNYK	+1.6	31	67	82%	33.2	16.7	5.2	2.2	1.6	0.7	2.3	48.4%	82.8%	1.8
38	4.02	VJ Edgecombe SG/PGPHI	+1.6	54	75	91%	35.0	16.0	5.6	4.2	1.4	0.5	2.0	43.8%	81.8%	1.8
39	4.03	DeMar DeRozan SF/SG/PFDEN	+1.6	72	77	94%	31.2	18.4	2.9	4.1	1.0	0.3	0.6	49.7%	86.8%	1.2
40	4.04	Alperen Şengün C/PFHOU	+1.6	42	72	88%	33.3	20.4	8.9	6.2	1.2	1.1	0.6	51.9%	69.1%	3.2
41	4.05	Julius Randle PF/CBKN	+1.5	68	79	96%	33.0	21.1	6.7	5.0	1.1	0.2	1.4	48.1%	80.2%	2.7
42	4.06	Matas Buzelis PF/SFCHI	+1.4	66	77	94%	29.2	16.3	5.8	2.1	0.7	1.5	2.2	46.3%	78.6%	2.1
43	4.07	Collin Gillespie PG/SGPHX	+1.3	86	80	98%	28.5	12.7	4.1	4.6	1.2	0.2	2.9	41.8%	87.4%	1.6
44	4.08	Jaden McDaniels SF/PFMIN	+1.3	61	73	89%	31.7	14.8	4.2	2.7	1.1	1.0	1.4	51.5%	83.5%	1.8
45	4.09	Jay Huff CIND	+1.2	95	82	100%	21.0	9.5	4.0	1.5	0.5	1.9	1.5	47.6%	82.8%	0.9
46	4.10	Brandon Ingram SF/SG/PFLACOUT	+1.2	78	77	94%	33.8	21.5	5.6	3.7	0.8	0.7	1.8	47.7%	82.0%	2.4
47	4.11	Immanuel Quickley PG/SGTOR	+1.1	51	70	85%	31.9	16.4	4.0	5.9	1.3	0.1	2.5	44.3%	82.1%	1.5
48	4.12	Donte DiVincenzo SG/SFMINOUT	+1.0	88	82	100%	30.4	12.2	4.1	3.8	1.3	0.4	3.0	40.6%	74.3%	1.4
49	5.01	Jaylen Brown SF/SG/PFPHI	+1.0	56	71	87%	34.4	28.7	6.9	5.1	1.0	0.4	2.0	47.7%	79.5%	3.6
50	5.02	Jabari Smith PF/CHOU	+1.0	80	77	94%	35.1	15.8	6.9	1.9	0.7	0.9	2.3	45.0%	77.5%	1.4
51	5.03	Naz Reid C/PFCHA	+0.8	85	77	94%	26.1	13.6	6.2	2.2	1.0	1.0	2.1	45.6%	73.2%	1.6
52	5.04	Andrew Wiggins SF/SG/PFMIA	+0.5	58	68	83%	30.3	15.4	4.8	2.7	1.1	1.0	2.0	47.5%	78.4%	1.5
53	5.05	Julian Champagnie SF/SG/PFSAS	+0.5	112	82	100%	27.6	11.1	5.8	1.5	0.8	0.5	2.4	43.7%	84.4%	0.8
54	5.06	Rudy Gobert CMIN	+0.5	77	76	93%	31.3	10.9	11.5	1.7	0.8	1.6	0.0	68.2%	52.6%	1.4
55	5.07	De'Aaron Fox PGSAS	+0.4	71	72	88%	31.0	18.6	3.8	6.2	1.2	0.3	1.8	48.6%	76.0%	2.3
56	5.08	Brandin Podziemski PG/SGGSW	+0.4	114	82	100%	28.5	13.8	5.1	3.7	1.1	0.2	1.9	45.5%	79.7%	1.6
57	5.09	Evan Mobley C/PFCLE	+0.4	41	65	79%	31.9	18.2	9.0	3.6	0.7	1.7	1.0	54.6%	60.6%	1.9
58	5.10	Cason Wallace SG/PG/SFOKCDTD	+0.3	90	77	94%	26.6	8.6	3.1	2.6	1.9	0.4	1.3	43.2%	80.9%	0.9
59	5.11	Saddiq Bey SF/PFNOP	+0.3	81	72	88%	31.2	17.7	5.6	2.5	0.9	0.1	2.1	45.1%	84.1%	0.9
60	5.12	Miles Bridges PF/SFPHX	+0.3	103	77	94%	31.0	17.1	5.8	3.2	0.6	0.4	1.9	46.0%	82.2%	1.4

#	Rd	Player	Value	9-cat	GP	Games	MIN	PTS	REB	AST	STL	BLK	3PM	FG%	FT%	TO
61	6.01	Brandon Miller SF/SG/PFCHA	+0.2	53	65	79%	30.3	20.2	4.9	3.3	1.0	0.7	3.1	43.5%	89.2%	2.5
62	6.02	Wendell Carter CORL	+0.2	107	78	95%	29.3	11.8	7.4	2.0	0.8	0.6	0.9	51.2%	79.2%	1.3
63	6.03	Toumani Camara SF/SG/PFPOR	+0.1	118	82	100%	33.3	13.4	5.1	2.5	1.1	0.4	2.7	44.0%	70.8%	1.8
64	6.04	Nikola Vučević CORL	+0.0	57	64	78%	28.4	15.1	8.4	3.3	0.6	0.6	1.6	49.3%	82.8%	1.3
65	6.05	Devin Booker SG/PGPHX	-0.0	63	64	78%	33.5	26.1	3.9	6.0	0.8	0.3	1.9	45.6%	87.3%	3.1
66	6.06	Deandre Ayton CWAS	-0.1	91	72	88%	27.2	12.5	8.0	0.8	0.6	1.0	0.0	67.1%	64.5%	1.2
67	6.07	Ausar Thompson SG/SFDET	-0.1	84	73	89%	26.0	9.9	5.7	3.1	2.0	0.9	0.1	52.5%	57.1%	1.5
68	6.08	Derik Queen C/PFNOP	-0.1	130	81	99%	25.0	11.7	7.1	3.7	1.0	0.9	0.3	47.3%	79.5%	2.3
69	6.09	Sandro Mamukelashvili C/PFLAL	-0.1	127	80	98%	21.9	11.2	4.9	1.9	0.8	0.5	1.4	52.3%	74.7%	0.8
70	6.10	Myles Turner CMIL	-0.3	87	71	87%	26.9	11.9	5.3	1.5	0.7	1.6	2.1	44.0%	74.0%	1.2
71	6.11	Royce O'Neale PF/SFCHA	-0.3	120	78	95%	28.4	9.8	4.8	2.7	1.1	0.4	2.7	42.1%	71.1%	1.3
72	6.12	LeBron James PF/PG/SFPHI	-0.4	43	60	73%	33.1	20.9	6.1	7.2	1.2	0.6	1.3	51.5%	73.7%	3.0
73	7.01	Deni Avdija PF/SG/SFPOR	-0.4	67	66	80%	33.3	24.2	6.9	6.7	0.8	0.6	1.9	46.2%	80.2%	3.8
74	7.02	CJ McCollum PG/SGATL	-0.4	113	76	93%	29.8	18.7	3.3	3.9	0.8	0.5	2.5	45.5%	77.2%	1.8
75	7.03	Tre Jones SG/PG/SFCHI	-0.4	74	65	79%	27.0	14.1	3.1	5.4	1.2	0.2	0.6	55.3%	84.1%	1.4
76	7.04	Ayo Dosunmu SG/PGMIN	-0.4	93	69	84%	27.3	14.8	3.4	3.6	0.8	0.3	1.8	51.7%	87.6%	1.4
77	7.05	Austin Reaves SG/PGLAL	-0.6	24	51	62%	34.5	23.3	4.7	5.5	1.1	0.4	2.3	49.0%	87.1%	3.0
78	7.06	Kris Dunn SG/PGLAC	-0.6	150	82	100%	27.2	7.3	3.3	3.6	1.6	0.2	1.0	47.6%	76.5%	1.4
79	7.07	Josh Hart SG/SFNYKDTD	-0.6	76	66	80%	30.2	12.0	7.4	4.8	1.1	0.3	1.5	50.8%	72.0%	1.9
80	7.08	Michael Porter SF/PFBKN	-0.7	25	52	63%	32.5	24.2	7.1	3.0	1.1	0.3	3.4	46.3%	85.9%	2.3
81	7.09	Cam Spencer SG/PG/SFMEM	-0.7	117	72	88%	23.8	11.1	2.5	5.6	0.7	0.2	2.0	47.3%	94.0%	1.3
82	7.10	Keyonte George PG/SGUTA	-0.7	36	54	66%	33.1	23.6	3.7	6.1	1.1	0.3	2.5	45.6%	89.2%	3.1
83	7.11	Moussa Diabaté CCHADTD	-0.7	110	73	89%	26.0	7.9	8.7	1.9	0.8	1.0	0.0	63.1%	65.9%	1.0
84	7.12	Kyle Filipowski C/PFUTADTD	-0.8	135	77	94%	23.4	11.4	7.2	2.6	0.9	0.5	1.0	49.2%	75.0%	1.6
85	8.01	John Collins PF/CDET	-0.8	104	69	84%	27.1	13.6	5.3	1.0	0.9	0.7	1.3	55.2%	76.6%	1.4
86	8.02	Jalen Suggs PGORL	-0.9	46	57	70%	27.6	13.8	3.9	5.5	1.8	0.7	2.1	43.5%	85.5%	2.7
87	8.03	Mark Williams CPHXOUT	-0.9	64	60	73%	23.6	11.7	8.0	1.0	0.9	0.9	0.0	64.4%	77.1%	1.1
88	8.04	Stephen Curry PGGSWDTD	-1.0	10	43	52%	30.9	26.6	3.6	4.7	1.1	0.4	4.4	46.8%	92.3%	2.8
89	8.05	Paolo Banchero PFORL	-1.0	111	72	88%	34.8	22.2	8.4	5.2	0.7	0.6	1.2	45.9%	77.5%	3.1
90	8.06	Lauri Markkanen PF/SFUTA	-1.0	8	42	51%	34.4	26.7	6.9	2.1	1.0	0.5	2.7	47.7%	89.6%	1.5
91	8.07	Keldon Johnson PF/SFSAS	-1.1	172	82	100%	23.3	13.2	5.4	1.4	0.6	0.1	1.2	51.9%	79.4%	0.9
92	8.08	Maxime Raynaud CSACOUT	-1.1	143	74	90%	26.5	12.5	7.5	1.4	0.5	0.5	0.3	57.1%	78.6%	1.3
93	8.09	Jarrett Allen CCLE	-1.4	55	56	68%	27.1	15.4	8.5	1.8	1.0	0.8	0.0	63.8%	70.9%	1.3
94	8.10	Jake LaRavia SF/SGLAL	-1.4	177	82	100%	25.1	8.2	4.0	1.8	1.3	0.5	1.0	45.9%	76.3%	1.1
95	8.11	Ryan Kalkbrenner CCHA	-1.5	136	69	84%	21.4	7.6	5.5	0.8	0.5	1.5	0.0	75.3%	71.6%	0.9
96	8.12	Naji Marshall SF/SG/PFDAL	-1.5	152	74	90%	29.5	15.2	4.7	3.3	1.1	0.1	0.8	51.0%	76.0%	1.6
97	9.01	Norman Powell SF/SGCHI	-1.6	69	58	71%	29.6	21.7	3.5	2.5	1.1	0.2	2.7	47.0%	82.7%	1.9
98	9.02	Devin Vassell SF/SGSAS	-1.6	116	67	82%	30.5	13.9	4.0	2.5	0.9	0.4	2.5	43.7%	81.5%	0.9
99	9.03	Tobias Harris PFSASDTD	-1.7	106	63	77%	27.7	13.3	5.1	2.5	0.9	0.4	1.3	46.9%	86.6%	1.0
100	9.04	Jaime Jaquez PF/SG/SFMIL	-1.7	164	75	91%	28.3	15.4	5.0	4.7	0.7	0.3	0.8	50.7%	76.9%	2.0
101	9.05	Luke Kornet CSAS	-1.7	137	68	83%	21.0	6.5	6.1	1.9	0.5	1.0	0.0	64.3%	82.5%	0.4
102	9.06	Duncan Robinson SF/SGDET	-1.7	171	77	94%	27.4	12.2	2.7	2.1	0.6	0.3	2.9	45.6%	75.5%	0.7
103	9.07	Quentin Grimes SG/SFLAL	-1.7	165	75	91%	29.4	13.4	3.6	3.3	0.9	0.4	1.7	45.0%	84.0%	1.8
104	9.08	Tim Hardaway SF/SGMIA	-1.8	185	80	98%	26.6	13.5	2.6	1.4	0.5	0.1	2.8	44.7%	81.1%	0.5
105	9.09	Max Christie SG/SFDAL	-1.9	180	77	94%	29.1	12.3	3.2	2.0	0.6	0.4	2.3	44.1%	89.9%	1.2
106	9.10	Josh Giddey PGCHI	-1.9	60	54	66%	32.1	17.0	8.3	9.1	1.0	0.5	1.9	44.8%	76.3%	3.6
107	9.11	Javonte Green SF/SG/PFDET	-1.9	194	82	100%	17.6	6.9	2.8	0.7	1.2	0.3	1.1	44.7%	84.0%	0.5
108	9.12	Jordan Goodwin SG/SFPHX	-2.0	141	70	85%	22.5	8.7	4.9	2.2	1.5	0.2	1.6	41.3%	69.6%	1.0
109	10.01	Tristan da Silva SF/PFORL	-2.0	181	77	94%	24.7	9.9	3.7	1.6	0.9	0.3	1.6	45.0%	88.4%	0.9
110	10.02	Nic Claxton C/PFCHIDTD	-2.0	138	69	84%	27.8	11.7	6.9	3.7	0.7	1.1	0.0	57.1%	61.6%	1.4
111	10.03	Zion Williamson PF/SFNOP	-2.0	102	62	76%	29.7	21.0	5.7	3.2	1.0	0.5	0.0	60.0%	71.6%	2.0
112	10.04	Pascal Siakam PF/CIND	-2.0	92	62	76%	33.2	24.0	6.6	3.8	1.1	0.4	1.7	48.4%	69.3%	2.2
113	10.05	Jeremiah Fears PG/SGNOP	-2.0	195	82	100%	25.8	14.3	3.7	3.4	1.2	0.4	1.2	43.4%	78.9%	2.2
114	10.06	Collin Sexton SG/PGLALDTD	-2.0	151	68	83%	23.7	15.4	2.3	3.3	1.1	0.1	1.6	48.5%	85.5%	2.1
115	10.07	Jaylon Tyson SF/SG/PFCLE	-2.1	132	66	80%	26.9	13.2	5.1	2.2	0.8	0.4	2.0	49.3%	73.8%	1.5
116	10.08	Justin Champagnie PFWAS	-2.1	154	69	84%	20.0	8.7	5.6	1.2	0.9	0.6	0.8	50.2%	78.4%	0.7
117	10.09	Bobby Portis C/PFMIA	-2.1	142	67	82%	24.2	13.7	6.4	1.6	0.6	0.2	2.0	48.8%	70.6%	1.0
118	10.10	Robert Williams CPOR	-2.2	105	59	72%	17.1	6.7	7.0	1.0	0.6	1.5	0.2	70.8%	59.6%	0.8
119	10.11	Isaiah Joe SG/SFDET	-2.2	170	71	87%	21.2	11.1	2.5	1.3	0.7	0.2	2.5	45.5%	89.4%	0.6
120	10.12	Jaren Jackson C/PFUTA	-2.3	44	48	59%	30.3	19.4	5.7	2.0	1.1	1.4	1.8	47.6%	80.3%	2.2
121	11.01	Brook Lopez CLAC	-2.3	184	75	91%	21.8	8.5	3.6	1.3	0.6	1.2	1.5	42.8%	75.7%	0.8
122	11.02	Anthony Black SG/PG/SFORLDTD	-2.3	123	64	78%	29.8	15.0	3.8	3.7	1.4	0.7	1.6	44.7%	73.2%	2.1
123	11.03	Ace Bailey SF/PFUTA	-2.3	168	72	88%	27.6	13.8	4.2	1.8	0.8	0.7	1.9	44.3%	75.0%	1.5
124	11.04	Luke Kennard SG/PG/SFPHXDTD	-2.3	205	78	95%	21.6	8.4	2.3	2.2	0.7	0.1	1.5	53.3%	91.3%	0.8
125	11.05	Sam Hauser PF/SFBOS	-2.3	197	78	95%	24.8	9.2	3.8	1.5	0.5	0.3	2.5	41.9%	85.0%	0.4
126	11.06	Ajay Mitchell PG/SGOKC	-2.4	97	57	70%	25.8	13.6	3.3	3.6	1.2	0.3	1.1	48.5%	87.0%	1.4
127	11.07	Stephon Castle SG/PGSAS	-2.4	149	68	83%	30.0	16.7	5.3	7.4	1.1	0.3	1.2	47.1%	73.4%	3.2
128	11.08	Alex Sarr C/PFWAS	-2.4	45	48	59%	27.2	16.3	7.4	2.7	0.8	2.0	1.0	48.2%	69.2%	1.7
129	11.09	Davion Mitchell PGMIA	-2.4	167	70	85%	28.6	9.3	2.7	6.5	1.0	0.2	1.3	49.0%	64.6%	1.5
130	11.10	Precious Achiuwa PF/CSAC	-2.5	176	73	89%	23.9	10.1	6.7	1.4	0.9	0.7	0.4	52.8%	55.4%	0.9
131	11.11	Kevin Porter PG/SGMIL	-2.5	14	38	46%	33.2	17.4	5.2	7.4	2.2	0.5	1.2	46.5%	87.8%	2.9
132	11.12	Jimmy Butler SF/SG/PFGSWOUT	-2.6	20	38	46%	31.1	20.0	5.6	4.9	1.4	0.2	0.8	51.9%	86.4%	1.6
133	12.01	Cedric Coward SG/SFMEM	-2.7	145	62	76%	25.8	13.6	5.9	2.8	0.6	0.4	1.5	47.1%	84.3%	1.7
134	12.02	Brice Sensabaugh SF/SG/PFUTA	-2.8	204	75	91%	23.5	14.9	3.1	1.9	0.7	0.2	2.2	46.0%	82.6%	1.7
135	12.03	Joel Embiid CPHI	-2.8	22	38	46%	31.6	26.9	7.7	3.9	0.6	1.2	1.4	48.9%	85.4%	2.9
136	12.04	Kevin Huerter SG/SFDET	-2.8	178	69	84%	22.4	10.0	3.5	2.6	0.9	0.5	1.4	45.1%	77.5%	1.0
137	12.05	Dominick Barlow PF/CPHIDTD	-2.8	187	71	87%	23.8	7.7	4.8	1.2	0.9	0.7	0.3	53.9%	71.8%	0.8
138	12.06	Oso Ighodaro CPHXDTD	-2.8	232	82	100%	22.0	6.5	5.1	2.3	0.9	0.7	0.0	65.3%	45.3%	1.2
139	12.07	Grayson Allen SF/SGCHADTD	-2.8	79	51	62%	28.8	16.5	3.0	3.8	1.4	0.3	3.1	40.3%	85.7%	1.6
140	12.08	AJ Green SG/SFMIL	-2.9	223	78	95%	29.1	10.4	2.7	1.9	0.5	0.1	3.0	42.4%	85.5%	1.0
141	12.09	Moses Moody SF/SG/PFGSWOUT	-2.9	134	60	73%	25.7	12.1	3.3	1.6	1.0	0.6	2.5	44.0%	77.0%	0.9
142	12.10	Dylan Harper SG/PGSAS	-2.9	186	69	84%	22.6	11.8	3.4	3.9	0.8	0.3	0.9	50.5%	75.6%	1.4
143	12.11	Andrew Nembhard PG/SGIND	-3.0	125	57	70%	31.3	16.9	2.8	7.7	0.9	0.1	1.9	44.2%	82.5%	2.4
144	12.12	Gary Payton SG/PG/SFGSW	-3.0	210	73	89%	15.6	7.5	3.6	1.7	0.9	0.3	0.5	58.3%	65.0%	0.8
145	13.01	Harrison Barnes PF/CSAS	-3.0	228	77	94%	25.8	9.9	2.8	1.9	0.6	0.2	1.8	45.6%	82.9%	0.8
146	13.02	Mitchell Robinson CBOS	-3.1	133	60	73%	19.6	5.7	8.8	0.9	0.9	1.2	0.0	72.3%	40.8%	0.7
147	13.03	Paul Reed C/PFDET	-3.1	173	65	79%	13.9	7.8	4.5	1.2	0.9	0.9	0.2	61.7%	66.4%	0.9
148	13.04	Jrue Holiday PG/SGPORDTD	-3.1	101	53	65%	29.4	16.3	4.6	6.1	1.0	0.1	2.6	45.1%	83.8%	2.8
149	13.05	Peyton Watson SF/PFCLE	-3.2	108	54	66%	29.6	14.6	4.9	2.1	0.9	1.1	1.5	49.1%	73.0%	1.7
150	13.06	Daniel Gafford CDAL	-3.2	121	55	67%	21.7	9.5	6.9	1.1	0.8	1.3	0.0	65.5%	68.3%	1.1
151	13.07	Keon Ellis PG/SGBKN	-3.2	208	72	88%	20.5	6.7	1.9	1.0	1.2	0.6	1.3	44.0%	72.9%	0.6
152	13.08	Dru Smith PG/SGMIADTD	-3.3	199	70	85%	16.3	5.6	2.5	2.6	1.4	0.3	0.5	41.5%	82.9%	0.8
153	13.09	Cameron Johnson SF/SG/PFDEN	-3.3	124	54	66%	30.5	12.2	3.8	2.4	0.7	0.4	2.0	48.0%	83.9%	0.9
154	13.10	Draymond Green PF/CGSW	-3.3	189	68	83%	27.5	8.4	5.5	5.5	0.9	0.6	1.5	41.8%	70.2%	2.7
155	13.11	Tari Eason SG/SFHOU	-3.3	153	60	73%	25.8	10.4	6.3	1.5	1.2	0.5	1.6	41.6%	77.6%	1.4
156	13.12	Isaiah Stewart C/PFMEMOUT	-3.3	157	58	71%	22.7	10.0	5.0	1.1	0.3	1.6	0.7	55.0%	75.6%	1.2
157	14.01	Jerami Grant PF/SFMEMDTD	-3.3	144	57	70%	29.7	18.6	3.5	2.1	0.7	0.6	2.4	45.3%	81.4%	2.1
158	14.02	Ronald Holland PF/SFDET	-3.4	241	78	95%	19.9	8.2	4.0	1.2	1.2	0.3	0.6	43.2%	80.5%	1.2
159	14.03	Jarace Walker PF/SFINDDTD	-3.4	229	76	93%	25.7	11.6	5.1	2.5	0.8	0.3	1.8	41.9%	74.9%	1.8
160	14.04	Bilal Coulibaly SF/PFWAS	-3.4	129	56	68%	26.2	11.7	4.3	2.6	1.3	1.0	1.2	42.5%	74.6%	1.4
161	14.05	Rui Hachimura PF/SFLAC	-3.4	200	68	83%	28.3	11.5	3.3	0.8	0.6	0.3	1.7	51.4%	69.4%	0.6
162	14.06	P.J. Washington PF/SF/CDAL	-3.4	128	56	68%	31.0	14.2	7.0	1.8	1.0	1.1	1.4	45.0%	68.7%	1.7
163	14.07	Ja'Kobe Walter SG/SFTOR	-3.4	220	72	88%	20.5	7.5	2.6	1.2	1.0	0.2	1.5	44.6%	78.9%	0.5
164	14.08	Jock Landale CATL	-3.5	198	68	83%	22.1	10.6	5.7	1.7	0.5	0.5	1.1	51.5%	63.5%	0.9
165	14.09	Pelle Larsson SF/SGMIADTD	-3.5	218	70	85%	26.4	11.4	3.5	3.4	0.7	0.2	0.9	49.6%	79.7%	1.4
166	14.10	Kelly Oubre PF/SFIND	-3.5	96	50	61%	31.5	14.1	5.0	1.6	1.4	0.5	1.7	46.7%	76.6%	1.4
167	14.11	Goga Bitadze CORL	-3.5	192	64	78%	15.2	5.9	5.0	1.3	0.6	1.0	0.0	67.6%	71.1%	0.7
168	14.12	Ivica Zubac CIND	-3.6	94	48	59%	30.1	14.1	10.6	2.2	0.4	0.8	0.0	59.8%	71.1%	1.8
169	15.01	Marcus Smart SG/PG/SFHOU	-3.6	175	62	76%	28.5	9.3	2.8	3.0	1.4	0.4	1.6	39.5%	82.2%	1.5
170	15.02	RJ Barrett SF/SG/PFTOR	-3.6	146	57	70%	30.3	19.3	5.3	3.3	0.7	0.3	1.7	49.1%	71.7%	1.7
171	15.03	Jaylin Williams COKCDTD	-3.6	196	65	79%	19.6	7.2	5.5	2.4	0.5	0.6	1.5	42.3%	79.3%	1.0
172	15.04	Day'Ron Sharpe CBKN	-3.6	179	62	76%	18.7	8.7	6.7	2.3	1.1	0.4	0.1	60.1%	67.8%	1.7
173	15.05	Kyle Kuzma PF/SFMIL	-3.7	216	69	84%	26.2	13.0	4.5	2.7	0.7	0.4	1.2	49.2%	72.6%	1.7
174	15.06	Collin Murray-Boyles C/PFTOR	-3.7	161	57	70%	21.9	8.5	5.0	1.9	0.9	0.9	0.3	57.9%	65.7%	1.0
175	15.07	Bub Carrington PG/SGWAS	-3.7	261	82	100%	27.7	10.7	3.4	4.6	0.6	0.2	2.1	42.4%	73.0%	2.3
176	15.08	Dillon Brooks SF/SG/PFPHX	-3.7	155	56	68%	30.4	20.2	3.6	1.8	1.0	0.2	2.3	43.5%	84.2%	1.8
177	15.09	Isaiah Hartenstein COKC	-3.8	89	47	57%	24.2	9.2	9.4	3.5	1.0	0.8	0.0	62.2%	61.0%	1.7
178	15.10	Kyshawn George SF/SGWAS	-3.8	100	48	59%	29.0	14.8	5.1	4.5	1.0	0.9	2.1	43.8%	80.2%	2.6
179	15.11	Paul George SF/SG/PFBOS	-3.8	33	37	45%	30.7	17.3	5.3	3.6	1.7	0.4	2.7	43.9%	82.0%	1.7
180	15.12	Marvin Bagley CDEN	-3.8	182	60	73%	20.0	10.4	6.1	1.4	0.5	0.7	0.4	61.8%	66.0%	1.0
181	16.01	Noah Clowney PF/CBKN	-3.8	206	66	80%	27.0	12.3	4.1	1.6	0.8	0.7	2.0	39.6%	80.4%	1.5
182	16.02	Bennedict Mathurin SF/SGNOP	-3.9	160	54	66%	30.0	17.6	5.4	2.4	0.8	0.2	1.4	43.0%	86.9%	2.2
183	16.03	Jamal Shead PG/SGTOR	-3.9	268	82	100%	22.6	6.6	1.7	5.4	0.9	0.2	1.0	36.7%	78.4%	1.4
184	16.04	Andre Drummond CNYK	-3.9	193	63	77%	19.5	6.4	8.4	1.3	0.6	0.8	0.5	47.2%	63.1%	1.0
185	16.05	T.J. McConnell PGINDDTD	-3.9	169	56	68%	17.2	9.4	2.2	5.1	1.0	0.2	0.3	53.8%	86.2%	1.1
186	16.06	Jaylen Wells SF/SGMEM	-3.9	225	69	84%	26.4	12.5	3.2	1.6	0.9	0.1	1.9	43.1%	78.4%	1.1
187	16.07	Gui Santos SF/PFGSW	-3.9	224	68	83%	20.5	9.2	3.9	2.3	0.9	0.3	1.1	50.0%	72.5%	1.5
188	16.08	Herbert Jones SG/SFNOP	-3.9	158	56	68%	28.4	8.9	3.4	2.8	1.6	0.5	1.4	38.3%	80.6%	1.3
189	16.09	Zaccharie Risacher SFDAL	-4.0	215	67	82%	22.4	9.6	3.8	1.1	0.9	0.5	1.4	45.5%	64.4%	0.9
190	16.10	Sam Merrill SG/SFCLEDTD	-4.0	148	52	63%	26.5	12.8	2.6	2.4	0.6	0.1	3.0	46.1%	85.5%	0.8
191	16.11	Will Richard SG/PG/SFGSW	-4.0	240	69	84%	20.0	6.4	2.5	1.3	1.2	0.1	1.0	46.8%	85.2%	0.8
192	16.12	Jaxson Hayes C/PFUTA	-4.1	231	66	80%	18.3	7.5	4.1	0.9	0.4	0.8	0.0	75.6%	65.3%	0.5
193	17.01	Luguentz Dort SF/SGATL	-4.1	235	69	84%	26.8	8.3	3.6	1.2	0.9	0.4	1.9	38.5%	75.9%	0.8
194	17.02	Darius Garland PGLAC	-4.1	99	45	55%	29.9	18.8	2.4	6.7	1.0	0.2	2.7	46.0%	86.1%	2.9
195	17.03	Jalen Smith C/PFCHI	-4.1	159	53	65%	20.7	10.2	6.7	1.2	0.5	0.8	1.5	48.3%	74.2%	1.0
196	17.04	Ziaire Williams SF/SGLAL	-4.1	174	56	68%	22.9	10.2	2.4	1.1	1.4	0.4	1.5	42.5%	85.0%	1.1
197	17.05	Luka Garza CBOS	-4.1	249	69	84%	16.2	8.1	4.1	1.0	0.4	0.4	0.8	57.7%	76.9%	0.7
198	17.06	Derrick Jones PF/SFLAC	-4.2	140	50	61%	27.0	10.1	3.5	1.4	0.9	1.0	1.1	49.9%	76.3%	0.8
199	17.07	Brandon Williams PGGSW	-4.2	233	66	80%	22.2	13.0	2.9	3.9	0.9	0.3	0.5	47.2%	79.3%	1.9
200	17.08	Jakob Poeltl CTOR	-4.2	109	46	56%	25.0	10.7	7.0	2.0	0.9	0.7	0.0	70.0%	60.2%	1.2

Worth more in roto 9-cat 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.

Javonte Green
SF/SG/PFDET
#107 vs #194 9-cat
Jake LaRavia
SF/SGLAL
#94 vs #177 9-cat
Jeremiah Fears
PG/SGNOP
#113 vs #195 9-cat
Keldon Johnson
PF/SFSAS
#91 vs #172 9-cat
Tim Hardaway
SF/SGMIA
#104 vs #185 9-cat
Max Christie
SG/SFDAL
#105 vs #180 9-cat
Kris Dunn
SG/PGLAC
#78 vs #150 9-cat
Tristan da Silva
SF/PFORL
#109 vs #181 9-cat
Duncan Robinson
SF/SGDET
#102 vs #171 9-cat
Jaime Jaquez
PF/SG/SFMIL
#100 vs #164 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.

Category formats score every category as a z-score against the top 156 players for that same format, the pool a 12-team league rosters, and add them up. Percentages and A/TO are weighted by volume, so a high-volume shooter moves FG% more than a low-volume one. Points formats rank on fantasy points per game at the league's weights. Roto values season totals; every other format is per game. Positions are Sleeper's fantasy eligibility, its listed position first; ESPN and Yahoo grant their own, so a player can qualify at a different spot in your league.

By position: point guards, shooting guards, small forwards, power forwards, centers. In season: this week's NBA fantasy rankings, ranked on each team's games this week, and rest of season rankings. This week's moves: the NBA waiver wire, streamers, starting lineups and the injury report. Draft kit: the printable cheat sheet, sleepers, busts, dynasty and keepers.

Common questions

How are roto rankings different from head-to-head 9-cat?
Roto adds up the whole season in each category, so a player who misses 20 games gives those 20 games away, where head-to-head only asks what he does in the weeks he plays. These ranks value the same nine categories on season totals: per-game production times the share of games each player has played.
How is games played counted?
Games played last season plus this season so far, over 82 plus his team's games so far. Before opening night that is last season's games over 82. 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.
Are percentages handled differently in roto?
No. FG% and FT% are still valued by attempts against the top 156 players, and the attempts are season attempts, so a high-volume shooter who plays every night moves the category most.

By the Parlae deskBoard updated Oct 18, 2026 at 10:26 PM ETHow this is built Report a wrong number

Roto fantasy basketball rankings 2026-27

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Worth more in roto 9-cat leagues than in 9-cat

How the board is built

Common questions

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