Fantasy Basketball Rankings: 9-Cat, punting PTS + REB + AST + STL + BLK + 3PM + FG% + FT%

Per-game value from 2026-27 projections. Green cells help you, red cells hurt. Tap a category to punt it.

The top three 9-Cat players when punting PTS and REB and AST and STL and BLK and 3PM and FG% and FT% are Tyler Burton (GSW), Blake Hinson (UTA), Bez Mbeng (MIA).

Format

9-Cat 8-Cat Points

Based on

Projections Last season

Position

All PG SG SF PF C

Punt

PTS REB AST STL BLK 3PM FG% FT% TO

#	Player	PTS	REB	AST	STL	BLK	3PM	FG%	FT%	TO	Value
1	Tyler Burton GSW · SF/PF	2.3	0.8	0.2	0.2	0.0	0.3	.4971.7	.10000.3	0.0	+3.36
2	Blake HinsonDTD UTA · SF/PF	3.2	0.2	0.3	0.1	0.1	0.7	.5162.2	.7240.3	0.1	+2.94
3	Bez Mbeng MIA · PG/SG	1.2	0.5	0.5	0.3	0.0	0.0	.5001.0	.10000.2	0.2	+2.33
4	David Jones Garcia SAS · SF/PF	2.8	1.3	0.5	0.1	0.1	0.2	.4622.4	.8180.6	0.2	+2.27
5	Elijah Harkless DET · PG/SG/SF	2.3	0.6	0.5	0.2	0.0	0.3	.4771.5	.8830.6	0.2	+2.15
6	Isaiah Evans MIN · PG/SG · ADP 312	3.7	1.0	0.6	0.3	0.3	0.6	.4632.7	.8290.7	0.2	+2.09
7	Jonathan IsaacDTD ORL · PF/C	3.3	2.4	0.5	0.3	0.2	0.4	.4662.3	.7910.9	0.2	+2.03
8	Jalen Wilson ATL · SF/PF	4.2	1.4	0.6	0.4	0.1	0.7	.4493.1	.7390.9	0.2	+1.91
9	Malachi Smith TOR · PG/SG · ADP 413	1.9	0.9	0.8	0.1	0.0	0.3	.5001.5	.10000.1	0.3	+1.85
10	Jaylen Clark MIN · SG/SF	3.7	1.7	0.9	0.6	0.1	0.4	.3783.3	.7501.0	0.3	+1.55
11	Asa Newell ATL · PF/C · ADP 414	4.8	2.4	0.9	0.4	0.1	0.6	.4234.2	.7810.7	0.3	+1.43
12	Rasheer Fleming PHX · PF · ADP 339	4.2	2.2	0.2	0.4	0.4	0.8	.4123.7	.5760.6	0.3	+1.43
13	Julian Phillips HOU · SF/PF	2.2	1.0	0.4	0.1	0.3	0.3	.4701.8	.5000.4	0.3	+1.37
14	Jalen Slawson IND · SF/PF · ADP 389	1.9	1.1	0.7	0.3	0.2	0.3	.4651.4	.6670.3	0.3	+1.37
15	Oscar Tshiebwe HOU · C	1.3	1.7	0.3	0.2	0.0	0.0	.3761.3	.6600.5	0.3	+1.37
16	John Poulakidas DAL · SG/SF/PF	2.6	0.7	1.2	0.2	0.0	0.7	.4222.1	.10000.1	0.3	+1.37
17	Liam McNeeley CHA · SG/SF · ADP 420	4.5	2.6	1.4	0.4	0.1	0.7	.4033.4	.7411.4	0.4	+1.25
18	Josh Green UTA · SG/SF	4.3	1.6	0.6	0.6	0.3	0.8	.4673.4	.6300.5	0.4	+1.19
19	Charles Bassey GSW · C	3.3	4.2	0.7	0.3	0.1	0.0	.3873.2	.8601.0	0.4	+1.19
20	Tyrese Proctor CLE · PG/SG · ADP 430	3.9	0.9	0.5	0.1	0.1	0.6	.5142.9	.6210.6	0.4	+1.19
21	Meleek Thomas CLE · PG/SG/SF · ADP 320	5.6	1.9	0.7	0.9	0.1	0.7	.4404.7	.6991.1	0.4	+1.19
22	Drew EubanksOUT NYK · C	3.9	2.6	0.4	0.2	0.9	0.0	.6532.5	.7000.9	0.4	+1.06
23	Micah Potter POR · C	3.2	2.3	0.5	0.3	0.5	0.5	.4202.6	.5710.8	0.4	+1.06
24	Jamaree Bouyea PHX · PF	6.0	1.8	0.8	0.4	0.1	0.7	.4734.9	.8900.7	0.4	+1.06
25	KJ Simpson DEN · PG	5.3	1.5	0.6	0.3	0.4	0.7	.4784.3	.7950.7	0.4	+1.06
26	Leonard Miller CHI · PF/C · ADP 365	6.0	3.4	0.6	0.3	0.3	0.6	.4524.9	.8451.0	0.4	+0.94
27	Duop Reath PHX · PF/C	5.4	2.1	0.7	0.2	0.2	1.0	.5114.1	.3500.6	0.4	+0.94
28	Nae'Qwan TomlinDTD CLE · SF/PF · ADP 483	6.4	3.0	1.2	0.5	0.1	0.7	.4805.1	.8101.1	0.4	+0.94
29	Luke KornetDTD SAS · C · ADP 232	6.2	5.5	1.6	0.5	1.0	0.0	.6613.8	.7891.4	0.4	+0.88
30	Haywood Highsmith PHX · SF/PF · ADP 499	1.9	1.9	0.6	0.3	0.1	0.0	.6531.2	.8610.4	0.4	+0.88
31	Marvin Bagley DEN · C	7.7	4.7	1.0	0.5	0.3	0.2	.5525.5	.7581.9	0.4	+0.88
32	Jamal Cain ORL · SG/SF · ADP 318	4.8	2.0	0.7	0.5	0.2	0.7	.4383.8	.7061.2	0.4	+0.88
33	Malevy Leons GSW · PF/C	3.0	1.9	0.7	0.2	0.1	0.2	.4092.6	.8550.8	0.4	+0.88
34	Noah Penda ORL · SF/PF	5.0	3.4	0.5	0.2	0.1	0.6	.4963.7	.7500.9	0.4	+0.88
35	Mo Bamba UTA · C	2.3	2.3	0.4	0.1	0.1	0.3	.5031.7	.6740.4	0.4	+0.76
36	Jose Alvarado NYK · PG/SG · ADP 311	7.0	2.0	1.0	0.4	0.1	1.3	.4415.8	.8310.7	0.4	+0.76
37	Jake LaRavia LAL · SG/SF · ADP 245	8.4	4.0	1.7	1.3	0.5	1.0	.4676.2	.7752.0	0.4	+0.76
38	Cormac Ryan MIL · PG/SG	3.7	0.7	0.4	0.3	0.0	0.6	.5312.4	.10000.6	0.4	+0.76
39	Bogdan Bogdanović HOU · PG/SG/SF · ADP 440	8.4	1.9	1.5	0.5	0.1	1.5	.4796.3	.8910.9	0.4	+0.70
40	Jahmai Mashack MEM · PG/SG/SF	4.8	2.0	2.1	1.0	0.3	0.6	.3764.8	.7130.9	0.4	+0.70
41	Dalen Terry GSW · SG/SF	4.7	1.9	0.8	0.4	0.2	0.5	.5203.5	.7280.8	0.5	+0.64
42	Kennedy Chandler PHX · PG/SG · ADP 399	5.5	1.3	0.7	0.3	0.2	0.5	.4294.5	.8681.4	0.5	+0.64
43	Jabari Walker PHI · PF/C	6.3	4.1	0.8	0.3	0.9	0.6	.5574.4	.6451.4	0.5	+0.64
44	Tidjane Salaün CHA · PF/C · ADP 414	4.2	3.0	0.6	0.5	0.1	0.7	.4063.5	.7800.9	0.5	+0.64
45	Moussa CisseDTD DAL · C · ADP 401	5.6	6.0	0.8	0.3	0.3	0.0	.6423.2	.7052.2	0.5	+0.64
46	Julian StrawtherDTD DEN · SG/SF/PF · ADP 420	7.9	2.0	1.0	0.5	0.2	1.3	.4456.2	.8201.2	0.5	+0.58
47	Keshad Johnson MIA · SF/PF · ADP 303	3.2	1.9	1.6	0.2	0.0	0.4	.4132.9	.4940.8	0.5	+0.58
48	Clint Capela HOU · C · ADP 366	3.6	4.4	0.5	0.4	0.6	0.0	.5222.9	.5831.0	0.5	+0.52
49	Ben SimmonsDTD SAC · PG	2.0	1.9	0.5	0.3	0.3	0.0	.5381.7	.4810.3	0.5	+0.52
50	Sam Hauser BOS · SF/PF · ADP 377	9.2	3.7	1.4	0.6	0.4	2.5	.4337.4	.9090.2	0.5	+0.52
51	Myron Gardner MIA · SF/PF	3.5	2.8	0.6	0.2	0.3	0.5	.4712.8	.6550.6	0.5	+0.52
52	Grant WilliamsDTD CHA · PF	6.0	3.0	0.7	0.3	0.3	1.1	.4324.6	.7971.2	0.5	+0.46
53	Cody Williams MIN · SG/SF · ADP 418	6.4	2.4	1.5	0.8	0.3	0.5	.4205.9	.6851.3	0.5	+0.46
54	Nick Richards MIA · C · ADP 490	5.8	4.8	0.7	0.4	0.8	0.2	.5304.2	.6441.7	0.5	+0.34
55	Ziaire WilliamsDTD LAL · SG/SF · ADP 441	4.6	1.6	0.6	0.5	0.2	0.7	.4183.7	.8401.0	0.5	+0.34
56	Antonio Reeves MIN · PG/SG	5.0	1.3	0.5	0.4	0.3	0.8	.4084.7	.6550.6	0.5	+0.34
57	Kyle Anderson TOR · SF/PF	5.5	2.8	0.9	0.6	0.6	0.2	.5584.1	.7071.2	0.5	+0.28
58	Svi Mykhailiuk UTA · SG/SF	6.0	1.8	0.8	0.5	0.3	1.2	.4105.4	.7660.5	0.5	+0.28
59	Josh Minott BKN · SF/PF/C · ADP 299	5.4	2.2	0.5	0.2	0.6	0.8	.5133.8	.7800.9	0.5	+0.28
60	Kam Jones MIL · PG/SG/SF	5.7	1.7	0.8	0.2	0.1	0.8	.5004.7	.7270.2	0.5	+0.28
61	Branden Carlson POR · C	4.3	2.5	0.6	0.3	0.1	0.7	.4084.0	.6890.6	0.5	+0.16
62	Ronald Holland DET · SF/PF · ADP 229	8.4	3.8	1.1	1.0	0.8	0.7	.4656.8	.6811.9	0.5	+0.16
63	Taelon Peter SAS · PG/SG/SF · ADP 396	3.9	1.6	1.0	0.3	0.1	0.9	.3124.3	.8100.4	0.5	+0.16
64	Chaney Johnson BKN · PF/C	3.7	2.1	0.9	0.4	0.2	0.2	.5472.5	.8090.9	0.5	+0.16
65	Jeremy Sochan POR · SF/PF/C · ADP 249	3.8	2.4	0.8	0.5	0.1	0.3	.4473.3	.7730.8	0.5	+0.10
66	Bryce McGowens NOP · SG/SF · ADP 440	6.9	1.8	1.0	0.5	0.1	0.7	.4784.8	.7911.9	0.5	+0.10
67	Anthony Gill WAS · PF/C	3.9	2.1	0.8	0.4	0.1	0.3	.4833.0	.7950.8	0.6	+0.04
68	Brandon Boston CHI · SG/SF · ADP 384	4.6	1.5	0.8	0.4	0.1	0.5	.4094.1	.7801.0	0.6	+0.04
69	Jonathan Mogbo SAC · PF/C	4.5	3.5	0.6	0.5	0.2	0.2	.5133.5	.7330.9	0.6	+0.04
70	Josh Okogie UTA · SG/SF	5.6	2.6	0.8	0.7	0.5	0.7	.4854.1	.7521.3	0.6	-0.02
71	Trendon Watford NOP · PF	6.2	2.8	2.0	0.4	0.1	0.3	.4864.9	.7601.5	0.6	-0.02
72	Karlo Matković NOP · PF/C · ADP 289	6.7	4.2	1.5	0.5	0.3	0.6	.6194.4	.7120.8	0.6	-0.02
73	Dalton Knecht LAL · SG/SF · ADP 415	6.0	2.1	1.0	0.6	0.1	1.2	.3955.3	.8130.8	0.6	-0.02
74	Al HorfordDTD GSW · PF/C · ADP 311	5.8	3.8	1.6	0.4	0.7	1.2	.4374.9	.8500.4	0.6	-0.08
75	Kenrich Williams OKC · PF/C · ADP 421	5.4	3.3	2.0	0.5	0.2	0.8	.4134.9	.8310.7	0.6	-0.08
76	Jaxson Hayes UTA · PF/C	5.3	3.3	0.7	0.4	0.6	0.0	.7293.0	.6451.5	0.6	-0.08
77	Malaki Branham ORL · PG/SG/SF	6.1	1.6	0.8	0.3	0.4	0.8	.4355.3	.7260.9	0.6	-0.08
78	Jalen Pickett LAC · PG/SG	4.5	1.8	0.7	0.5	0.2	0.8	.4444.0	.7860.3	0.6	-0.08
79	Jaden Hardy LAL · PG/SG/SF	8.3	1.5	2.1	0.3	0.1	1.5	.4266.9	.7781.3	0.6	-0.14
80	Leaky Black SAC · SF/PF · ADP 396	2.3	1.5	1.0	0.3	0.3	0.3	.4602.0	.6800.2	0.6	-0.14
81	Kobe Brown IND · SF/PF	3.8	2.5	0.3	0.4	0.4	0.6	.4173.4	.5560.6	0.6	-0.20
82	Pat Connaughton CHA · SG/SF/PF	4.2	2.2	0.9	0.3	0.4	0.6	.4583.3	.8230.6	0.6	-0.26
83	Luka Garza BOS · C · ADP 439	6.1	3.0	0.7	0.2	0.3	0.6	.5454.1	.7451.4	0.6	-0.26
84	Jaylin WilliamsGTD OKC · C · ADP 338	6.5	5.3	1.2	0.9	0.2	1.4	.4185.0	.7911.1	0.6	-0.26
85	Jayden QuaintanceOUT SAS · PF/C · ADP 343	3.8	3.6	0.4	0.4	1.0	0.0	.5602.8	.5081.3	0.6	-0.26
86	Sergio De Larrea DAL · PG/SG · ADP 411	3.3	1.3	1.3	0.3	0.2	0.4	.4152.8	.8060.7	0.6	-0.26
87	Keon Ellis BKN · PG/SG · ADP 243	6.0	1.9	1.1	1.1	0.6	1.2	.4494.7	.7650.8	0.6	-0.33
88	Johnny FurphyOUT IND · SG/SF · ADP 429	2.8	3.2	1.8	1.0	0.1	0.3	.2953.3	.7560.8	0.6	-0.33
89	Caleb Love PHI · PG/SG · ADP 423	9.0	1.8	1.3	0.6	0.1	1.7	.4547.5	.6450.8	0.6	-0.33
90	Buddy Hield CHI · SG · ADP 218	5.2	1.4	0.7	0.4	0.3	1.2	.4314.3	.8610.4	0.6	-0.39
91	Thomas Bryant CLE · C · ADP 463	5.5	3.6	0.8	0.5	0.1	0.7	.4274.6	.8691.1	0.6	-0.39
92	Isaiah Joe DET · SG/SF · ADP 287	10.8	2.5	1.5	0.7	0.2	2.6	.4497.9	.8681.3	0.6	-0.39
93	Sidy Cissoko POR · PF/C	4.8	2.1	0.8	0.5	0.9	0.7	.4044.1	.7121.1	0.6	-0.39
94	Jamison Battle TOR · SF/PF/C	4.3	2.0	1.0	0.3	0.2	0.9	.4193.8	.7410.3	0.6	-0.39
95	Koa Peat PHX · SF/PF · ADP 370	2.9	2.4	0.7	0.3	0.3	0.2	.4442.5	.6270.8	0.6	-0.39
96	Mike Conley BOS · PG · ADP 395	3.7	1.3	2.2	0.4	0.1	0.8	.3483.3	.8510.7	0.6	-0.45
97	Chris Cenac BOS · PF/C · ADP 353	5.8	4.0	0.8	0.5	0.3	0.3	.4974.6	.6501.4	0.6	-0.45
98	Justin Edwards PHI · SF/PF	5.1	1.5	1.1	0.4	0.4	0.8	.4454.3	.7220.5	0.6	-0.51
99	Reece Beekman WAS · PG	3.8	1.1	1.6	0.4	0.1	0.4	.4553.1	.7810.6	0.6	-0.51
100	Tim Hardaway MIA · SG/SF · ADP 356	11.9	2.4	1.4	0.5	0.1	2.4	.4259.1	.8412.1	0.7	-0.57
101	Brook Lopez LAC · C · ADP 313	8.3	3.1	1.1	0.4	1.1	1.4	.4606.7	.7921.0	0.7	-0.57
102	Georges Niang GSW · PF	6.7	2.3	0.9	0.6	0.2	1.4	.4795.3	.6000.5	0.7	-0.57
103	Quinten Post MEM · C · ADP 291	7.7	3.9	1.7	0.5	0.2	1.5	.4376.5	.7660.6	0.7	-0.57
104	Jordan Clarkson NYK · SG/SF · ADP 218	7.6	1.6	1.5	0.5	0.2	1.0	.4076.6	.8401.5	0.7	-0.63
105	Goga Bitadze ORL · C · ADP 188	5.2	4.9	1.3	0.5	1.0	0.1	.6063.5	.6641.4	0.7	-0.63
106	Bones Hyland MIN · PG/SG	7.5	1.6	2.6	0.6	0.2	1.5	.4006.4	.8891.1	0.7	-0.63
107	Javonte Green DET · SG/SF/PF · ADP 477	6.3	2.8	0.9	1.0	0.3	1.0	.4334.9	.8171.3	0.7	-0.69
108	Terance Mann BKN · SG/SF	6.1	2.7	1.0	0.6	0.2	0.8	.4455.2	.6371.0	0.7	-0.69
109	Ryan Dunn PHX · SF/PF · ADP 418	6.4	4.1	1.3	0.9	0.5	1.0	.4395.8	.5080.6	0.7	-0.69
110	Javon Small MEM · PG/SG · ADP 443	4.7	1.5	1.8	0.4	0.1	0.7	.4623.4	.8251.0	0.7	-0.69
111	Micah PeavyDTD MEM · SF/PF	4.6	2.0	0.9	0.3	0.2	0.6	.3864.6	.8370.5	0.7	-0.69
112	Dwight Powell DAL · C	2.3	3.3	0.9	0.6	0.3	0.0	.5071.4	.6351.4	0.7	-0.75
113	Mitchell Robinson BOS · C · ADP 193	5.6	8.3	0.8	1.0	1.1	0.0	.6963.5	.4351.7	0.7	-0.75
114	Jamir WatkinsOUT WAS · SG/SF	7.0	3.5	1.3	1.1	0.5	0.9	.4595.3	.7281.6	0.7	-0.75
115	Trey Lyles MIN · PF/C	3.6	2.4	0.8	0.4	0.2	0.7	.4192.9	.7580.6	0.7	-0.81
116	Sam MerrillDTD CLE · SG/SF · ADP 231	10.0	2.4	2.0	0.7	0.1	2.6	.4267.7	.8930.8	0.7	-0.81
117	Trayce Jackson-Davis TOR · C · ADP 444	5.1	4.0	1.7	0.6	0.3	0.0	.5373.7	.6841.6	0.7	-0.81
118	Scoot Henderson POR · PG · ADP 151	13.6	3.0	3.4	1.0	0.5	1.8	.46610.2	.8252.8	0.7	-0.81
119	Tyler Kolek NYK · PG/SG · ADP 284	2.8	1.3	0.6	0.3	0.9	0.4	.3822.9	.6060.3	0.7	-0.81
120	Will Riley WAS · SG/SF/PF · ADP 320	8.5	2.4	1.2	0.3	0.1	1.0	.4836.1	.7952.0	0.7	-0.87
121	Yanic Konan NiederhäuserOUT LAC · C · ADP 212	5.6	3.6	0.6	0.3	0.9	0.1	.6633.1	.7501.9	0.7	-0.87
122	Miles McBride NYK · PG/SG · ADP 226	10.9	2.4	2.7	1.0	0.2	2.3	.4219.2	.7961.1	0.7	-0.93
123	Jay Huff IND · C · ADP 263	7.7	3.0	1.1	0.4	1.4	1.2	.4855.8	.8251.0	0.7	-0.93
124	Tristan VukcevicOUT WAS · C · ADP 334	9.3	3.4	1.0	0.4	0.8	1.1	.4726.9	.7792.3	0.7	-0.93
125	Craig Porter CLE · PG/SG · ADP 254	3.8	2.1	2.0	0.5	0.4	0.4	.5103.0	.6910.6	0.7	-0.93
126	Daniss Jenkins DET · PG/SG · ADP 261	9.3	2.2	3.9	0.8	0.5	0.9	.4327.6	.8272.1	0.7	-0.93
127	Caris LeVert MIL · SG/SF · ADP 220	5.3	1.4	1.3	0.5	0.2	0.7	.4324.4	.7331.1	0.7	-0.99
128	Moritz Wagner BKN · C · ADP 488	10.1	4.9	1.3	0.6	0.4	0.8	.4757.3	.7633.2	0.7	-0.99
129	Corey Kispert ATL · SG/SF	8.8	2.1	1.4	0.3	0.1	1.5	.4756.6	.7901.4	0.7	-0.99
130	Joan Beringer MIN · C · ADP 210	6.5	4.4	0.7	0.7	1.0	0.0	.6863.7	.7231.9	0.7	-0.99
131	Hugo González BOS · SG/SF · ADP 293	5.6	4.4	0.9	0.6	0.4	0.8	.4654.9	.6600.5	0.7	-0.99
132	Jase Richardson ORL · PG/SG · ADP 412	2.9	1.3	0.6	0.3	0.9	0.4	.3903.0	.6290.3	0.7	-0.99
133	Bennett Stirtz OKC · PG/SG · ADP 254	5.4	1.6	1.8	0.7	0.1	0.7	.4194.7	.8420.9	0.7	-0.99
134	Moses MoodyOUT GSW · SG/SF/PF · ADP 354	7.9	2.2	1.2	0.6	0.4	1.6	.4376.4	.7701.0	0.7	-1.05
135	Jordan Hawkins CHI · SG/SF · ADP 438	5.7	1.7	0.9	0.4	0.4	1.1	.3665.4	.8410.8	0.7	-1.05
136	Justin Champagnie WAS · PF · ADP 200	8.1	5.2	1.1	0.9	0.6	0.9	.4976.3	.7561.2	0.7	-1.11
137	Simone Fontecchio MIA · PF/C	7.1	2.8	1.0	0.5	0.2	1.4	.4085.9	.8211.2	0.7	-1.11
138	Nikola VučevićDTD ORL · C · ADP 86	8.6	4.8	1.7	0.4	0.4	0.8	.5057.0	.8160.9	0.8	-1.17
139	Gary Payton GSW · PG/SG/SF	6.6	3.1	1.4	0.9	0.3	0.5	.5824.9	.6600.5	0.8	-1.17
140	Jae'Sean Tate HOU · SG/SF	3.0	1.4	0.7	0.3	0.9	0.4	.3873.1	.6490.4	0.8	-1.17
141	Ben Sheppard IND · SG/SF	5.7	2.7	1.5	0.5	0.2	1.0	.4035.2	.7900.6	0.8	-1.17
142	Jevon Carter ORL · PG/SG · ADP 448	5.4	1.3	0.9	0.5	0.4	1.2	.3915.2	.7410.3	0.8	-1.23
143	Ochai Agbaji NYK · SG/SF	3.9	1.7	0.9	0.3	0.4	0.6	.4373.5	.7860.4	0.8	-1.23
144	Kris Murray MEM · SG/SF/PF · ADP 454	5.8	3.3	0.8	0.8	0.4	0.8	.4804.8	.5000.9	0.8	-1.23
145	Pete Nance MIL · SF/PF/C	3.5	2.1	1.3	0.3	0.3	0.7	.4043.2	.8420.2	0.8	-1.23
146	Julian Reese NOP · C · ADP 368	3.5	3.2	0.5	0.4	0.2	0.0	.5272.8	.6201.0	0.8	-1.29
147	Ron Harper BOS · SG/SF · ADP 390	3.8	1.8	0.6	0.3	0.7	0.8	.3763.8	.6470.2	0.8	-1.35
148	Tre Johnson WAS · PG/SG · ADP 197	11.7	2.9	2.3	0.8	0.1	2.0	.42710.0	.8511.5	0.8	-1.35
149	Ryan Kalkbrenner CHA · C · ADP 322	6.5	4.7	0.7	0.4	1.3	0.0	.7513.6	.7171.4	0.8	-1.35
150	Dylan CardwellOUT SAC · PF/C · ADP 260	4.7	6.7	1.3	0.6	1.4	0.0	.5783.6	.5151.0	0.8	-1.35
151	Luguentz DortDTD ATL · SG/SF · ADP 191	9.5	3.8	1.4	1.0	0.5	2.1	.4138.0	.7681.0	0.8	-1.41
152	Quenton Jackson IND · PG/SG	7.8	2.1	1.7	0.4	0.2	0.8	.4446.0	.7952.1	0.8	-1.41
153	Landry Shamet NYK · SG/SF · ADP 388	7.6	1.5	1.1	0.8	0.2	1.5	.4386.1	.7121.0	0.8	-1.47
154	Dru SmithDTD MIA · PG/SG · ADP 280	5.6	2.4	2.2	1.3	0.3	0.6	.4344.4	.8271.3	0.8	-1.47
155	Cam Whitmore DEN · SF/PF · ADP 219	7.4	2.4	1.2	0.5	0.2	1.0	.4146.7	.7251.3	0.8	-1.47
156	Taylor Hendricks MEM · PF/C · ADP 315	8.8	4.0	1.2	0.9	0.7	1.3	.4716.6	.7281.8	0.8	-1.47
157	Olivier-Maxence Prosper MEM · SF/PF/C · ADP 282	8.2	3.4	1.0	0.7	0.2	0.8	.5235.6	.7552.0	0.8	-1.47
158	Jordan Walsh BOS · SG/SF · ADP 376	4.0	3.0	0.7	0.4	0.7	0.6	.4773.1	.7210.6	0.8	-1.47
159	Jaylon Tyson CLE · SG/SF/PF · ADP 243	10.6	4.5	0.9	0.8	0.3	1.5	.4718.6	.7351.4	0.8	-1.47
160	Baylor Scheierman BOS · SF/PF · ADP 234	6.8	4.2	1.8	0.8	0.2	1.6	.4325.5	.8680.5	0.8	-1.47
161	Ja'Kobe Walter TOR · SG/SF · ADP 385	8.7	3.0	1.4	0.9	0.2	1.6	.4356.8	.7911.5	0.8	-1.47
162	Will Richard GSW · PG/SG/SF · ADP 438	6.2	2.6	1.3	0.6	0.1	1.1	.4175.2	.8020.8	0.8	-1.47
163	Zuby Ejiofor ATL · PF/C · ADP 203	5.0	4.1	1.0	0.4	0.7	0.1	.5693.6	.7141.1	0.8	-1.47
164	Tarris Reed SAS · C · ADP 235	5.6	4.0	0.8	0.5	0.8	0.0	.5704.0	.6441.6	0.8	-1.47
165	Isaac OkoroDTD CHI · SG/SF	5.9	2.1	2.9	0.8	0.6	0.8	.4235.0	.7061.2	0.8	-1.53
166	Jock Landale ATL · C	8.5	4.7	1.1	0.3	0.2	0.8	.5166.3	.8171.5	0.8	-1.53
167	Henri VeesaarIR ATL · C · ADP 381	5.8	3.4	0.8	0.3	0.7	0.6	.5024.4	.6481.3	0.8	-1.53
168	Matisse Thybulle LAL · SG/SF	6.0	2.3	1.2	1.9	0.6	1.3	.4304.8	.7500.7	0.8	-1.59
169	Tre Mann WAS · PG/SG · ADP 426	7.5	2.2	2.3	0.5	0.1	1.1	.4176.9	.8050.8	0.8	-1.59
170	Karim Lopez MEM · SF/PF · ADP 380	6.7	3.2	1.1	0.5	0.3	0.7	.4605.5	.7461.3	0.8	-1.59
171	Dean Wade PHI · SF/PF · ADP 395	6.3	4.8	1.8	0.9	0.6	1.5	.4185.3	.6820.7	0.8	-1.65
172	Jericho Sims MIL · PF/C · ADP 479	2.6	4.7	1.3	0.6	0.2	0.0	.4812.1	.8130.8	0.8	-1.65
173	Orlando Robinson CHI · C	5.1	4.0	1.4	0.6	0.4	0.3	.4464.5	.6801.2	0.8	-1.65
174	Brice Sensabaugh UTA · SG/SF/PF · ADP 348	11.1	2.8	1.3	0.5	0.3	1.8	.4438.7	.8741.8	0.8	-1.65
175	Sion James CHA · SG/SF	6.0	3.7	2.3	0.6	0.3	1.1	.3924.8	.8281.3	0.8	-1.65
176	Ryan Nembhard DEN · PG/SG · ADP 417	7.7	2.3	1.4	0.6	0.2	0.8	.4716.8	.8110.5	0.8	-1.65
177	LJ Cryer GSW · PG	8.6	1.6	0.9	0.6	0.6	2.1	.4386.7	.5501.1	0.8	-1.65
178	DeAndre Jordan NOP · C · ADP 290	3.4	4.8	1.2	0.3	0.1	0.0	.5062.4	.8361.2	0.8	-1.72
179	Derrick Jones LAC · SF/PF · ADP 213	9.8	3.4	1.1	0.9	0.7	1.1	.5077.4	.7271.7	0.8	-1.72
180	Robert Williams POR · C · ADP 152	6.6	6.8	1.0	0.6	1.5	0.1	.6964.2	.6461.0	0.8	-1.72
181	Brandon Williams GSW · PG · ADP 343	8.9	1.9	2.3	0.6	0.1	0.5	.4936.0	.8822.8	0.8	-1.72
182	Marcus SasserDTD DAL · PG	4.4	1.0	1.7	0.3	0.0	0.8	.4083.8	.7890.6	0.8	-1.72
183	Gary TrentDTD MIL · SG/SF · ADP 427	8.5	1.5	1.2	0.8	0.3	1.8	.4017.4	.7890.9	0.9	-1.84
184	Carter Bryant SAS · SF/PF · ADP 249	7.5	4.4	1.1	0.6	0.5	1.3	.4216.5	.7211.0	0.9	-1.84
185	Maxime RaynaudOUT SAC · C · ADP 170	8.8	5.2	0.9	0.4	0.4	0.2	.5696.4	.7831.6	0.9	-1.84
186	Jarred Vanderbilt LAL · PF/C · ADP 480	4.8	4.7	1.7	0.6	0.2	0.4	.4933.6	.7770.9	0.9	-1.90
187	Zeke Nnaji DEN · PF/C	3.4	2.2	1.0	0.3	0.1	0.4	.4402.7	.7360.9	0.9	-1.90
188	Julian ChampagnieDTD SAS · SG/SF/PF · ADP 206	10.3	4.4	1.5	0.8	0.5	2.2	.4278.1	.8611.4	0.9	-1.90
189	Yves Missi NOP · C · ADP 251	8.3	7.0	1.5	0.4	1.8	0.0	.6165.5	.6952.1	0.9	-1.90
190	Spencer JonesDTD DEN · SF/PF	3.6	2.1	1.2	0.5	0.1	0.6	.4652.7	.8080.5	0.9	-1.90
191	Obi Toppin IND · SF/PF · ADP 270	10.2	3.9	1.7	0.5	0.3	1.3	.5337.2	.8171.4	0.9	-1.96
192	Alex Karaban SAC · SF/PF · ADP 227	7.6	3.1	1.1	0.6	0.3	1.4	.4176.6	.8180.9	0.9	-1.96
193	Khris MiddletonDTD WAS · SF/PF · ADP 345	9.5	3.1	1.0	0.6	0.2	1.0	.4587.5	.8661.8	0.9	-2.02
194	Luke KennardDTD PHX · PG/SG/SF · ADP 434	7.6	2.2	1.7	0.7	0.2	1.4	.5355.3	.6670.8	0.9	-2.08
195	Alex Caruso OKC · SF/PF · ADP 194	7.1	3.0	2.4	1.4	0.5	1.2	.4415.8	.8061.0	0.9	-2.08
196	Saddiq Bey NOP · SF/PF · ADP 177	15.6	5.6	2.2	0.9	0.1	2.0	.44111.9	.8413.8	0.9	-2.08
197	Keegan Murray SAC · SF/PF · ADP 102	13.7	6.2	1.6	0.9	1.0	2.0	.44012.0	.8091.4	0.9	-2.08
198	Noah Clowney BKN · PF/C · ADP 293	9.9	4.1	1.4	0.8	0.6	1.6	.4027.5	.8112.8	0.9	-2.08
199	Precious AchiuwaDTD SAC · PF/C · ADP 310	8.8	6.4	1.1	1.0	0.7	0.3	.5157.2	.6121.6	0.9	-2.14
200	Daeqwon Plowden SAC · SF/PF	5.2	1.7	1.4	0.6	0.2	1.1	.3644.9	.7800.8	0.9	-2.14

FG% and FT% cells show the percentage with attempts per game underneath. Value is the sum of category z-scores excluding punted categories. Data via Sleeper.

How these rankings work

How are these fantasy basketball rankings calculated?

Each player gets a z-score in every category: how far his per-game number sits above or below the average of the top 156 players (12 teams of 13). FG% and FT% are weighted by attempts, so a high percentage on few shots counts for little. Turnovers count against. The total is the sum across the categories your league uses.

What does punting a category do?

It removes that category from each player's total. Punting FT% lifts players like Giannis-type bigs who are elite elsewhere but miss free throws; punting assists and 3PM favors centers. The category still shows in the table so you can see what you are giving up.

Why per-game instead of season totals?

Per-game value separates how good a player is from how many games he will play. Check injuries and games per week separately rather than having a guess about missed games baked into every number.