Fantasy Basketball Rankings: 9-Cat, punting PTS + REB + AST + STL + BLK + 3PM + 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 FT% are Ryan Kalkbrenner (CHA), Luke Kornet (SAS), Jarrett Allen (CLE).

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	Ryan Kalkbrenner CHA · C · ADP 322	6.5	4.7	0.7	0.4	1.3	0.0	.7513.6	.7171.4	0.8	+1.99
2	Luke KornetDTD SAS · C · ADP 232	6.2	5.5	1.6	0.5	1.0	0.0	.6613.8	.7891.4	0.4	+1.87
3	Jarrett Allen CLE · C · ADP 67	14.3	9.1	2.0	0.9	0.9	0.0	.6618.7	.7193.9	1.3	+1.83
4	Jaxson Hayes UTA · PF/C	5.3	3.3	0.7	0.4	0.6	0.0	.7293.0	.6451.5	0.6	+1.83
5	Dereck LivelyDTD DAL · C · ADP 139	8.6	7.4	1.9	0.6	1.6	0.0	.7145.2	.6091.8	1.2	+1.69
6	Mitchell Robinson BOS · C · ADP 193	5.6	8.3	0.8	1.0	1.1	0.0	.6963.5	.4351.7	0.7	+1.61
7	Robert Williams POR · C · ADP 152	6.6	6.8	1.0	0.6	1.5	0.1	.6964.2	.6461.0	0.8	+1.60
8	Daniel GaffordDTD DAL · C · ADP 158	9.3	6.5	1.2	0.6	1.4	0.0	.6885.4	.6832.8	1.1	+1.60
9	Joan Beringer MIN · C · ADP 210	6.5	4.4	0.7	0.7	1.0	0.0	.6863.7	.7231.9	0.7	+1.53
10	Drew EubanksOUT NYK · C	3.9	2.6	0.4	0.2	0.9	0.0	.6532.5	.7000.9	0.4	+1.46
11	Moussa CisseDTD DAL · C · ADP 401	5.6	6.0	0.8	0.3	0.3	0.0	.6423.2	.7052.2	0.5	+1.45
12	Neemias Queta BOS · C · ADP 143	9.9	8.0	1.6	0.7	1.3	0.0	.6526.4	.7162.1	1.0	+1.44
13	Rudy Gobert MIN · C · ADP 84	11.1	10.9	1.6	0.7	1.6	0.0	.6756.5	.5963.9	1.3	+1.38
14	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	+1.32
15	Tyler Burton GSW · SF/PF	2.3	0.8	0.2	0.2	0.0	0.3	.4971.7	.10000.3	0.0	+1.25
16	Blake HinsonDTD UTA · SF/PF	3.2	0.2	0.3	0.1	0.1	0.7	.5162.2	.7240.3	0.1	+1.17
17	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	+1.16
18	Mark WilliamsOUT PHX · C · ADP 125	12.8	8.8	1.2	0.9	1.0	0.0	.6288.2	.7813.2	1.3	+1.06
19	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	+1.05
20	Bez Mbeng MIA · PG/SG	1.2	0.5	0.5	0.3	0.0	0.0	.5001.0	.10000.2	0.2	+1.03
21	Yves Missi NOP · C · ADP 251	8.3	7.0	1.5	0.4	1.8	0.0	.6165.5	.6952.1	0.9	+0.97
22	Deandre Ayton WAS · C · ADP 104	9.4	6.9	0.9	0.5	0.7	0.0	.6206.8	.6761.4	1.1	+0.94
23	Jalen Duren DET · C · ADP 48	18.5	11.2	2.5	0.8	1.1	0.0	.65710.6	.7506.0	2.1	+0.93
24	Adem BonaDTD PHI · C · ADP 350	6.7	5.3	0.6	0.6	1.4	0.0	.6653.9	.7092.0	1.0	+0.92
25	Marvin Bagley DEN · C	7.7	4.7	1.0	0.5	0.3	0.2	.5525.5	.7581.9	0.4	+0.88
26	Goga Bitadze ORL · C · ADP 188	5.2	4.9	1.3	0.5	1.0	0.1	.6063.5	.6641.4	0.7	+0.86
27	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	+0.84
28	Elijah Harkless DET · PG/SG/SF	2.3	0.6	0.5	0.2	0.0	0.3	.4771.5	.8830.6	0.2	+0.84
29	Jabari Walker PHI · PF/C	6.3	4.1	0.8	0.3	0.9	0.6	.5574.4	.6451.4	0.5	+0.83
30	Kyle Anderson TOR · SF/PF	5.5	2.8	0.9	0.6	0.6	0.2	.5584.1	.7071.2	0.5	+0.72
31	Jakob Poeltl TOR · C · ADP 118	10.3	7.6	2.4	1.0	0.8	0.0	.6596.8	.6272.3	1.6	+0.71
32	Walker Kessler LAL · C · ADP 59	14.2	12.0	1.8	0.7	2.7	0.5	.6438.5	.6324.4	1.7	+0.70
33	Ivica Zubac IND · C · ADP 42	15.5	11.7	2.4	0.5	1.1	0.0	.61810.8	.7123.0	1.7	+0.65
34	David Jones Garcia SAS · SF/PF	2.8	1.3	0.5	0.1	0.1	0.2	.4622.4	.8180.6	0.2	+0.65
35	Gary Payton GSW · PG/SG/SF	6.6	3.1	1.4	0.9	0.3	0.5	.5824.9	.6600.5	0.8	+0.64
36	Cormac Ryan MIL · PG/SG	3.7	0.7	0.4	0.3	0.0	0.6	.5312.4	.10000.6	0.4	+0.63
37	Jonathan IsaacDTD ORL · PF/C	3.3	2.4	0.5	0.3	0.2	0.4	.4662.3	.7910.9	0.2	+0.61
38	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	+0.61
39	Ben SimmonsDTD SAC · PG	2.0	1.9	0.5	0.3	0.3	0.0	.5381.7	.4810.3	0.5	+0.60
40	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	+0.59
41	Chaney Johnson BKN · PF/C	3.7	2.1	0.9	0.4	0.2	0.2	.5472.5	.8090.9	0.5	+0.55
42	Isaiah Jackson LAC · C · ADP 353	7.3	5.6	1.0	0.7	1.0	0.0	.6154.7	.6672.1	1.0	+0.54
43	Julian Phillips HOU · SF/PF	2.2	1.0	0.4	0.1	0.3	0.3	.4701.8	.5000.4	0.3	+0.54
44	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	+0.54
45	Mo Bamba UTA · C	2.3	2.3	0.4	0.1	0.1	0.3	.5031.7	.6740.4	0.4	+0.52
46	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	+0.52
47	Nic ClaxtonDTD CHI · PF/C · ADP 103	12.4	8.0	3.1	0.8	1.5	0.1	.6108.7	.5803.0	1.4	+0.51
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	+0.48
49	Dalen Terry GSW · SG/SF	4.7	1.9	0.8	0.4	0.2	0.5	.5203.5	.7280.8	0.5	+0.47
50	Nick Richards MIA · C · ADP 490	5.8	4.8	0.7	0.4	0.8	0.2	.5304.2	.6441.7	0.5	+0.45
51	Duop Reath PHX · PF/C	5.4	2.1	0.7	0.2	0.2	1.0	.5114.1	.3500.6	0.4	+0.44
52	Luka Garza BOS · C · ADP 439	6.1	3.0	0.7	0.2	0.3	0.6	.5454.1	.7451.4	0.6	+0.43
53	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	+0.41
54	Maxime RaynaudOUT SAC · C · ADP 170	8.8	5.2	0.9	0.4	0.4	0.2	.5696.4	.7831.6	0.9	+0.40
55	Tarris Reed SAS · C · ADP 235	5.6	4.0	0.8	0.5	0.8	0.0	.5704.0	.6441.6	0.8	+0.34
56	Oscar Tshiebwe HOU · C	1.3	1.7	0.3	0.2	0.0	0.0	.3761.3	.6600.5	0.3	+0.31
57	Noah Penda ORL · SF/PF	5.0	3.4	0.5	0.2	0.1	0.6	.4963.7	.7500.9	0.4	+0.31
58	Jalen Wilson ATL · SF/PF	4.2	1.4	0.6	0.4	0.1	0.7	.4493.1	.7390.9	0.2	+0.30
59	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	+0.30
60	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	+0.29
61	Oso IghodaroDTD PHX · C · ADP 321	6.3	5.0	2.1	0.8	0.1	0.0	.6484.3	.5151.3	1.3	+0.28
62	Moussa Diabaté CHA · C · ADP 186	7.0	7.7	1.8	0.7	0.9	0.0	.6074.6	.6512.1	1.1	+0.27
63	Morez JohnsonDTD DAL · PF/C · ADP 161	8.4	5.0	1.1	0.9	1.1	0.4	.5895.5	.7422.2	1.1	+0.27
64	Jonathan Mogbo SAC · PF/C	4.5	3.5	0.6	0.5	0.2	0.2	.5133.5	.7330.9	0.6	+0.23
65	John Poulakidas DAL · SG/SF/PF	2.6	0.7	1.2	0.2	0.0	0.7	.4222.1	.10000.1	0.3	+0.23
66	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	+0.20
67	Josh Green UTA · SG/SF	4.3	1.6	0.6	0.6	0.3	0.8	.4673.4	.6300.5	0.4	+0.19
68	Dwight Powell DAL · C	2.3	3.3	0.9	0.6	0.3	0.0	.5071.4	.6351.4	0.7	+0.13
69	Myron Gardner MIA · SF/PF	3.5	2.8	0.6	0.2	0.3	0.5	.4712.8	.6550.6	0.5	+0.13
70	KJ Simpson DEN · PG	5.3	1.5	0.6	0.3	0.4	0.7	.4784.3	.7950.7	0.4	+0.10
71	Kam Jones MIL · PG/SG/SF	5.7	1.7	0.8	0.2	0.1	0.8	.5004.7	.7270.2	0.5	+0.07
72	Anthony Gill WAS · PF/C	3.9	2.1	0.8	0.4	0.1	0.3	.4833.0	.7950.8	0.6	+0.05
73	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	+0.02
74	Julian Reese NOP · C · ADP 368	3.5	3.2	0.5	0.4	0.2	0.0	.5272.8	.6201.0	0.8	+0.00
75	Micah Potter POR · C	3.2	2.3	0.5	0.3	0.5	0.5	.4202.6	.5710.8	0.4	-0.02
76	Paul Reed DET · PF/C · ADP 203	8.7	5.6	1.6	1.1	1.1	0.3	.5676.2	.7062.0	1.1	-0.03
77	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	-0.03
78	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	-0.03
79	Jamaree Bouyea PHX · PF	6.0	1.8	0.8	0.4	0.1	0.7	.4734.9	.8900.7	0.4	-0.04
80	Josh Okogie UTA · SG/SF	5.6	2.6	0.8	0.7	0.5	0.7	.4854.1	.7521.3	0.6	-0.10
81	Malevy Leons GSW · PF/C	3.0	1.9	0.7	0.2	0.1	0.2	.4092.6	.8550.8	0.4	-0.13
82	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	-0.17
83	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	-0.20
84	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	-0.20
85	Trendon Watford NOP · PF	6.2	2.8	2.0	0.4	0.1	0.3	.4864.9	.7601.5	0.6	-0.21
86	Collin Murray-Boyles TOR · PF/C · ADP 139	10.4	6.1	2.3	1.1	1.1	0.4	.5807.4	.6592.3	1.4	-0.21
87	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	-0.22
88	DeAndre Jordan NOP · C · ADP 290	3.4	4.8	1.2	0.3	0.1	0.0	.5062.4	.8361.2	0.8	-0.23
89	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	-0.25
90	Isaiah Hartenstein OKC · C · ADP 87	9.7	9.7	3.5	1.0	1.0	0.0	.6086.8	.6542.2	1.6	-0.26
91	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	-0.26
92	Jaime JaquezDTD MIL · SG/SF/PF · ADP 128	15.3	5.0	4.5	0.9	0.2	1.0	.54211.1	.8042.8	1.0	-0.26
93	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	-0.27
94	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	-0.28
95	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	-0.28
96	Pat Connaughton CHA · SG/SF/PF	4.2	2.2	0.9	0.3	0.4	0.6	.4583.3	.8230.6	0.6	-0.29
97	Christian Braun DEN · SG/SF · ADP 116	13.4	5.1	2.6	1.0	0.4	1.1	.5419.5	.7932.5	1.0	-0.29
98	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	-0.31
99	Khaman Maluach PHX · C · ADP 185	10.4	9.3	0.9	0.5	2.0	0.5	.5687.3	.7412.2	1.3	-0.31
100	Rasheer Fleming PHX · PF · ADP 339	4.2	2.2	0.2	0.4	0.4	0.8	.4123.7	.5760.6	0.3	-0.31
101	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	-0.32
102	Aday Mara OKC · C · ADP 185	5.1	4.8	1.4	0.4	1.1	0.1	.5323.9	.5891.3	1.0	-0.32
103	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	-0.33
104	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	-0.34
105	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	-0.35
106	Reece Beekman WAS · PG	3.8	1.1	1.6	0.4	0.1	0.4	.4553.1	.7810.6	0.6	-0.35
107	Jock Landale ATL · C	8.5	4.7	1.1	0.3	0.2	0.8	.5166.3	.8171.5	0.8	-0.36
108	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	-0.36
109	Zion Williamson NOP · SF/PF · ADP 51	23.0	6.1	4.1	1.1	0.7	0.1	.60514.6	.7027.6	2.4	-0.38
110	Henri VeesaarIR ATL · C · ADP 381	5.8	3.4	0.8	0.3	0.7	0.6	.5024.4	.6481.3	0.8	-0.39
111	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	-0.40
112	Charles Bassey GSW · C	3.3	4.2	0.7	0.3	0.1	0.0	.3873.2	.8601.0	0.4	-0.41
113	Jaylen Clark MIN · SG/SF	3.7	1.7	0.9	0.6	0.1	0.4	.3783.3	.7501.0	0.3	-0.44
114	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	-0.44
115	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	-0.45
116	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	-0.48
117	Nikola VučevićDTD ORL · C · ADP 86	8.6	4.8	1.7	0.4	0.4	0.8	.5057.0	.8160.9	0.8	-0.49
118	Georges Niang GSW · PF	6.7	2.3	0.9	0.6	0.2	1.4	.4795.3	.6000.5	0.7	-0.50
119	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	-0.51
120	Jalen Pickett LAC · PG/SG	4.5	1.8	0.7	0.5	0.2	0.8	.4444.0	.7860.3	0.6	-0.51
121	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	-0.51
122	Justin Champagnie WAS · PF · ADP 200	8.1	5.2	1.1	0.9	0.6	0.9	.4976.3	.7561.2	0.7	-0.54
123	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	-0.56
124	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	-0.59
125	Spencer JonesDTD DEN · SF/PF	3.6	2.1	1.2	0.5	0.1	0.6	.4652.7	.8080.5	0.9	-0.59
126	Jay Huff IND · C · ADP 263	7.7	3.0	1.1	0.4	1.4	1.2	.4855.8	.8251.0	0.7	-0.60
127	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	-0.61
128	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	-0.61
129	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	-0.63
130	Grant WilliamsDTD CHA · PF	6.0	3.0	0.7	0.3	0.3	1.1	.4324.6	.7971.2	0.5	-0.64
131	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	-0.64
132	Trey Lyles MIN · PF/C	3.6	2.4	0.8	0.4	0.2	0.7	.4192.9	.7580.6	0.7	-0.65
133	Kobe Brown IND · SF/PF	3.8	2.5	0.3	0.4	0.4	0.6	.4173.4	.5560.6	0.6	-0.65
134	Kel'el Ware MIL · PF/C · ADP 76	13.4	9.1	1.0	0.9	1.4	1.4	.52910.4	.7261.5	1.0	-0.67
135	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	-0.70
136	Justin Edwards PHI · SF/PF	5.1	1.5	1.1	0.4	0.4	0.8	.4454.3	.7220.5	0.6	-0.72
137	Brandon Williams GSW · PG · ADP 343	8.9	1.9	2.3	0.6	0.1	0.5	.4936.0	.8822.8	0.8	-0.73
138	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	-0.73
139	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
140	Zeke Nnaji DEN · PF/C	3.4	2.2	1.0	0.3	0.1	0.4	.4402.7	.7360.9	0.9	-0.77
141	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	-0.77
142	Ochai Agbaji NYK · SG/SF	3.9	1.7	0.9	0.3	0.4	0.6	.4373.5	.7860.4	0.8	-0.79
143	Branden Carlson POR · C	4.3	2.5	0.6	0.3	0.1	0.7	.4084.0	.6890.6	0.5	-0.80
144	Jamison Battle TOR · SF/PF/C	4.3	2.0	1.0	0.3	0.2	0.9	.4193.8	.7410.3	0.6	-0.80
145	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	-0.81
146	Buddy Hield CHI · SG · ADP 218	5.2	1.4	0.7	0.4	0.3	1.2	.4314.3	.8610.4	0.6	-0.81
147	Tre Jones CHI · PG/SG/SF · ADP 251	11.5	3.1	5.3	1.1	0.2	0.6	.5398.1	.8372.6	1.3	-0.81
148	Isaiah StewartOUT MEM · PF/C · ADP 206	11.6	6.5	1.7	0.4	1.5	0.9	.5388.0	.7572.8	1.3	-0.83
149	Jamir WatkinsOUT WAS · SG/SF	7.0	3.5	1.3	1.1	0.5	0.9	.4595.3	.7281.6	0.7	-0.83
150	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	-0.86
151	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	-0.86
152	Corey Kispert ATL · SG/SF	8.8	2.1	1.4	0.3	0.1	1.5	.4756.6	.7901.4	0.7	-0.89
153	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	-0.89
154	Thomas Bryant CLE · C · ADP 463	5.5	3.6	0.8	0.5	0.1	0.7	.4274.6	.8691.1	0.6	-0.94
155	Malaki Branham ORL · PG/SG/SF	6.1	1.6	0.8	0.3	0.4	0.8	.4355.3	.7260.9	0.6	-0.95
156	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	-0.95
157	T.J. McConnellDTD IND · PG · ADP 307	8.6	2.2	4.4	0.9	0.2	0.2	.5227.4	.8030.7	1.2	-0.97
158	Terance Mann BKN · SG/SF	6.1	2.7	1.0	0.6	0.2	0.8	.4455.2	.6371.0	0.7	-0.98
159	Tristan VukcevicOUT WAS · C · ADP 334	9.3	3.4	1.0	0.4	0.8	1.1	.4726.9	.7792.3	0.7	-0.98
160	Pete Nance MIL · SF/PF/C	3.5	2.1	1.3	0.3	0.3	0.7	.4043.2	.8420.2	0.8	-0.99
161	Antonio Reeves MIN · PG/SG	5.0	1.3	0.5	0.4	0.3	0.8	.4084.7	.6550.6	0.5	-1.00
162	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	-1.01
163	Moritz Wagner BKN · C · ADP 488	10.1	4.9	1.3	0.6	0.4	0.8	.4757.3	.7633.2	0.7	-1.01
164	Jordan MillerOUT LAC · PG/SG/SF · ADP 378	8.0	2.4	2.7	0.7	0.3	0.5	.5345.4	.7802.2	1.4	-1.01
165	Brook Lopez LAC · C · ADP 313	8.3	3.1	1.1	0.4	1.1	1.4	.4606.7	.7921.0	0.7	-1.03
166	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	-1.03
167	Giannis Antetokounmpo MIA · PF · ADP 7	29.7	10.5	6.3	1.0	1.0	0.4	.61018.5	.63810.7	3.3	-1.05
168	Caleb Martin DAL · SF/PF	4.9	2.2	2.6	0.3	0.1	0.5	.5063.6	.8371.0	1.3	-1.05
169	Sidy Cissoko POR · PF/C	4.8	2.1	0.8	0.5	0.9	0.7	.4044.1	.7121.1	0.6	-1.05
170	Jae'Sean Tate HOU · SG/SF	3.0	1.4	0.7	0.3	0.9	0.4	.3873.1	.6490.4	0.8	-1.06
171	Orlando Robinson CHI · C	5.1	4.0	1.4	0.6	0.4	0.3	.4464.5	.6801.2	0.8	-1.06
172	Zach Edey MEM · C · ADP 101	15.3	11.4	1.3	0.7	2.2	0.3	.61410.1	.7613.4	2.5	-1.08
173	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	-1.09
174	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	-1.10
175	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	-1.13
176	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	-1.13
177	Jaylin WilliamsDTD OKC · C · ADP 338	6.5	5.3	1.2	0.9	0.2	1.4	.4185.0	.7911.1	0.6	-1.14
178	Steven AdamsDTD HOU · C · ADP 429	4.7	6.9	2.0	0.7	0.4	0.0	.4773.5	.7002.0	1.2	-1.15
179	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	-1.17
180	Donovan Clingan POR · C · ADP 93	12.9	12.5	2.2	0.7	1.9	1.0	.5399.4	.6582.8	1.5	-1.17
181	Svi Mykhailiuk UTA · SG/SF	6.0	1.8	0.8	0.5	0.3	1.2	.4105.4	.7660.5	0.5	-1.19
182	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	-1.19
183	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	-1.21
184	Dennis Schröder CHA · PG/SG · ADP 189	8.4	1.9	2.5	0.5	0.7	0.9	.4766.3	.7941.9	0.9	-1.22
185	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	-1.22
186	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	-1.24
187	Mouhamed GueyeDTD ATL · PF/C	5.0	3.8	1.6	0.5	0.3	0.6	.4414.2	.7340.9	0.9	-1.25
188	Mike Conley BOS · PG · ADP 395	3.7	1.3	2.2	0.4	0.1	0.8	.3483.3	.8510.7	0.6	-1.26
189	Pat Spencer PHX · SG/SF · ADP 397	6.3	2.0	1.3	0.6	0.2	0.7	.4685.4	.7920.7	1.0	-1.27
190	Andre Drummond NYK · C · ADP 423	5.6	8.0	1.1	0.8	0.6	0.4	.4554.9	.6291.2	1.0	-1.28
191	Dominick BarlowDTD PHI · PF/C · ADP 268	6.0	4.3	1.9	0.9	0.5	0.3	.4555.1	.6651.6	0.9	-1.28
192	Marcus SasserDTD DAL · PG	4.4	1.0	1.7	0.3	0.0	0.8	.4083.8	.7890.6	0.8	-1.28
193	Kentavious Caldwell-PopeDTD PHI · PG/SG	7.3	1.9	1.5	0.7	0.2	1.0	.4635.8	.8581.1	0.9	-1.32
194	Jahmai Mashack MEM · PG/SG/SF	4.8	2.0	2.1	1.0	0.3	0.6	.3764.8	.7130.9	0.4	-1.32
195	Matisse Thybulle LAL · SG/SF	6.0	2.3	1.2	1.9	0.6	1.3	.4304.8	.7500.7	0.8	-1.33
196	Hannes Steinbach CHA · PF/C · ADP 214	8.3	5.3	1.0	0.5	0.8	0.4	.4807.0	.7561.6	1.0	-1.36
197	Kevon Looney LAL · C · ADP 446	4.7	6.2	2.1	0.6	0.4	0.1	.4744.3	.6560.9	1.2	-1.37
198	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	-1.37
199	Quenton Jackson IND · PG/SG	7.8	2.1	1.7	0.4	0.2	0.8	.4446.0	.7952.1	0.8	-1.38
200	Rayan Rupert PHI · SG/SF	5.1	2.5	1.9	0.5	0.1	0.7	.4364.4	.7720.8	1.0	-1.38

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.