Fantasy Basketball Rankings: 8-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 8-Cat players when punting PTS and REB and AST and STL and BLK and 3PM and FT% at C are Jalen Duren (DET), Jarrett Allen (CLE), Dereck Lively (DAL).

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%

#	Player	PTS	REB	AST	STL	BLK	3PM	FG%	FT%	Value
2	Jalen Duren DET · C · ADP 48	18.5	11.2	2.5	0.8	1.1	0.0	.65710.6	.7506.0	+2.86
3	Jarrett Allen CLE · C · ADP 67	14.3	9.1	2.0	0.9	0.9	0.0	.6618.7	.7193.9	+2.41
5	Dereck LivelyDTD DAL · C · ADP 139	8.6	7.4	1.9	0.6	1.6	0.0	.7145.2	.6091.8	+2.05
6	Ivica Zubac IND · C · ADP 42	15.5	11.7	2.4	0.5	1.1	0.0	.61810.8	.7123.0	+2.02
7	Walker Kessler LAL · C · ADP 59	14.2	12.0	1.8	0.7	2.7	0.5	.6438.5	.6324.4	+2.02
8	Rudy Gobert MIN · C · ADP 84	11.1	10.9	1.6	0.7	1.6	0.0	.6756.5	.5963.9	+2.01
9	Jakob Poeltl TOR · C · ADP 118	10.3	7.6	2.4	1.0	0.8	0.0	.6596.8	.6272.3	+1.85
10	Daniel GaffordDTD DAL · C · ADP 158	9.3	6.5	1.2	0.6	1.4	0.0	.6885.4	.6832.8	+1.81
11	Zach Edey MEM · C · ADP 101	15.3	11.4	1.3	0.7	2.2	0.3	.61410.1	.7613.4	+1.79
12	Ryan Kalkbrenner CHA · C · ADP 322	6.5	4.7	0.7	0.4	1.3	0.0	.7513.6	.7171.4	+1.72
13	Mark WilliamsOUT PHX · C · ADP 125	12.8	8.8	1.2	0.9	1.0	0.0	.6288.2	.7813.2	+1.70
14	Neemias Queta BOS · C · ADP 143	9.9	8.0	1.6	0.7	1.3	0.0	.6526.4	.7162.1	+1.65
15	Nikola Jokić DEN · C · ADP 3	27.9	13.1	10.1	1.5	0.8	1.7	.57418.1	.8216.6	+1.64
16	Robert Williams POR · C · ADP 152	6.6	6.8	1.0	0.6	1.5	0.1	.6964.2	.6461.0	+1.48
17	Nic ClaxtonDTD CHI · PF/C · ADP 103	12.4	8.0	3.1	0.8	1.5	0.1	.6108.7	.5803.0	+1.46
18	Domantas SabonisDTD SAC · PF/C · ADP 28	18.0	13.9	6.1	0.8	0.4	0.6	.58212.2	.7324.3	+1.33
19	Deandre Ayton WAS · C · ADP 104	9.4	6.9	0.9	0.5	0.7	0.0	.6206.8	.6761.4	+1.29
20	Jaxson Hayes UTA · PF/C	5.3	3.3	0.7	0.4	0.6	0.0	.7293.0	.6451.5	+1.25
21	Mitchell Robinson BOS · C · ADP 193	5.6	8.3	0.8	1.0	1.1	0.0	.6963.5	.4351.7	+1.23
22	Joan Beringer MIN · C · ADP 210	6.5	4.4	0.7	0.7	1.0	0.0	.6863.7	.7231.9	+1.23
23	Adem BonaDTD PHI · C · ADP 350	6.7	5.3	0.6	0.6	1.4	0.0	.6653.9	.7092.0	+1.13
24	Isaiah Hartenstein OKC · C · ADP 87	9.7	9.7	3.5	1.0	1.0	0.0	.6086.8	.6542.2	+1.11
25	Oso IghodaroDTD PHX · C · ADP 321	6.3	5.0	2.1	0.8	0.1	0.0	.6484.3	.5151.3	+1.09
26	Luke KornetDTD SAS · C · ADP 232	6.2	5.5	1.6	0.5	1.0	0.0	.6613.8	.7891.4	+1.06
27	Yves Missi NOP · C · ADP 251	8.3	7.0	1.5	0.4	1.8	0.0	.6165.5	.6952.1	+1.01
28	Yanic Konan NiederhäuserOUT LAC · C · ADP 212	5.6	3.6	0.6	0.3	0.9	0.1	.6633.1	.7501.9	+0.87
29	Isaiah Jackson LAC · C · ADP 353	7.3	5.6	1.0	0.7	1.0	0.0	.6154.7	.6672.1	+0.85
30	Karlo Matković NOP · PF/C · ADP 289	6.7	4.2	1.5	0.5	0.3	0.6	.6194.4	.7120.8	+0.83
31	Collin Murray-Boyles TOR · PF/C · ADP 139	10.4	6.1	2.3	1.1	1.1	0.4	.5807.4	.6592.3	+0.77
32	Moussa CisseDTD DAL · C · ADP 401	5.6	6.0	0.8	0.3	0.3	0.0	.6423.2	.7052.2	+0.75
33	Moussa Diabaté CHA · C · ADP 186	7.0	7.7	1.8	0.7	0.9	0.0	.6074.6	.6512.1	+0.74
34	Morez JohnsonDTD DAL · PF/C · ADP 161	8.4	5.0	1.1	0.9	1.1	0.4	.5895.5	.7422.2	+0.67
35	Drew EubanksOUT NYK · C	3.9	2.6	0.4	0.2	0.9	0.0	.6532.5	.7000.9	+0.64
36	Evan Mobley CLE · PF/C · ADP 19	18.4	9.3	3.6	0.8	1.7	1.0	.55213.0	.6604.6	+0.58
37	Khaman Maluach PHX · C · ADP 185	10.4	9.3	0.9	0.5	2.0	0.5	.5687.3	.7412.2	+0.57
38	Goga Bitadze ORL · C · ADP 188	5.2	4.9	1.3	0.5	1.0	0.1	.6063.5	.6641.4	+0.56
40	Maxime RaynaudOUT SAC · C · ADP 170	8.8	5.2	0.9	0.4	0.4	0.2	.5696.4	.7831.6	+0.52
41	Paul Reed DET · PF/C · ADP 203	8.7	5.6	1.6	1.1	1.1	0.3	.5676.2	.7062.0	+0.47
42	Day'Ron Sharpe BKN · C · ADP 224	11.8	9.9	3.1	1.6	0.5	0.2	.5538.6	.6623.1	+0.39
43	Dylan CardwellOUT SAC · PF/C · ADP 260	4.7	6.7	1.3	0.6	1.4	0.0	.5783.6	.5151.0	+0.36
44	Tarris Reed SAS · C · ADP 235	5.6	4.0	0.8	0.5	0.8	0.0	.5704.0	.6441.6	+0.33
47	Zuby Ejiofor ATL · PF/C · ADP 203	5.0	4.1	1.0	0.4	0.7	0.1	.5693.6	.7141.1	+0.29
50	Marvin Bagley DEN · C	7.7	4.7	1.0	0.5	0.3	0.2	.5525.5	.7581.9	+0.24
51	Jabari Walker PHI · PF/C	6.3	4.1	0.8	0.3	0.9	0.6	.5574.4	.6451.4	+0.24
53	John Collins DET · PF/C · ADP 114	15.6	6.8	1.3	0.9	0.9	1.4	.54111.0	.8002.9	+0.23
55	Chet HolmgrenGTD OKC · PF/C · ADP 29	17.2	9.6	2.0	0.7	2.1	1.4	.53911.7	.7854.1	+0.17
56	Jayden QuaintanceOUT SAS · PF/C · ADP 343	3.8	3.6	0.4	0.4	1.0	0.0	.5602.8	.5081.3	+0.17
57	Donovan Clingan POR · C · ADP 93	12.9	12.5	2.2	0.7	1.9	1.0	.5399.4	.6582.8	+0.15
59	Luka Garza BOS · C · ADP 439	6.1	3.0	0.7	0.2	0.3	0.6	.5454.1	.7451.4	+0.12
60	Isaiah StewartOUT MEM · PF/C · ADP 206	11.6	6.5	1.7	0.4	1.5	0.9	.5388.0	.7572.8	+0.11
61	Chaney Johnson BKN · PF/C	3.7	2.1	0.9	0.4	0.2	0.2	.5472.5	.8090.9	+0.08
63	Trayce Jackson-Davis TOR · C · ADP 444	5.1	4.0	1.7	0.6	0.3	0.0	.5373.7	.6841.6	+0.04
68	Aday Mara OKC · C · ADP 185	5.1	4.8	1.4	0.4	1.1	0.1	.5323.9	.5891.3	+0.00
69	Nick Richards MIA · C · ADP 490	5.8	4.8	0.7	0.4	0.8	0.2	.5304.2	.6441.7	-0.02
70	Julian Reese NOP · C · ADP 368	3.5	3.2	0.5	0.4	0.2	0.0	.5272.8	.6201.0	-0.03
71	Clint Capela HOU · C · ADP 366	3.6	4.4	0.5	0.4	0.6	0.0	.5222.9	.5831.0	-0.06
72	Kel'el Ware MIL · PF/C · ADP 76	13.4	9.1	1.0	0.9	1.4	1.4	.52910.4	.7261.5	-0.06
73	Dwight Powell DAL · C	2.3	3.3	0.9	0.6	0.3	0.0	.5071.4	.6351.4	-0.07
78	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	-0.10
80	Mo Bamba UTA · C	2.3	2.3	0.4	0.1	0.1	0.3	.5031.7	.6740.4	-0.11
83	DeAndre Jordan NOP · C · ADP 290	3.4	4.8	1.2	0.3	0.1	0.0	.5062.4	.8361.2	-0.13
85	Jonathan Mogbo SAC · PF/C	4.5	3.5	0.6	0.5	0.2	0.2	.5133.5	.7330.9	-0.14
87	Josh Minott BKN · SF/PF/C · ADP 299	5.4	2.2	0.5	0.2	0.6	0.8	.5133.8	.7800.9	-0.15
88	Anthony DavisDTD WAS · PF/C · ADP 15	22.0	10.6	3.1	1.1	2.0	0.5	.52616.1	.7835.8	-0.18
89	Duop Reath PHX · PF/C	5.4	2.1	0.7	0.2	0.2	1.0	.5114.1	.3500.6	-0.18
93	Jock Landale ATL · C	8.5	4.7	1.1	0.3	0.2	0.8	.5166.3	.8171.5	-0.21
94	Jericho Sims MIL · PF/C · ADP 479	2.6	4.7	1.3	0.6	0.2	0.0	.4812.1	.8130.8	-0.23
96	Precious AchiuwaDTD SAC · PF/C · ADP 310	8.8	6.4	1.1	1.0	0.7	0.3	.5157.2	.6121.6	-0.26
97	Henri VeesaarIR ATL · C · ADP 381	5.8	3.4	0.8	0.3	0.7	0.6	.5024.4	.6481.3	-0.27
100	Jarred Vanderbilt LAL · PF/C · ADP 480	4.8	4.7	1.7	0.6	0.2	0.4	.4933.6	.7770.9	-0.30
101	Anthony Gill WAS · PF/C	3.9	2.1	0.8	0.4	0.1	0.3	.4833.0	.7950.8	-0.31
104	Jonathan IsaacDTD ORL · PF/C	3.3	2.4	0.5	0.3	0.2	0.4	.4662.3	.7910.9	-0.33
106	Chris Cenac BOS · PF/C · ADP 353	5.8	4.0	0.8	0.5	0.3	0.3	.4974.6	.6501.4	-0.35
110	Aaron Gordon DEN · PF/C · ADP 123	15.7	5.7	3.1	0.6	0.4	1.6	.51510.8	.7544.0	-0.38
113	Nikola VučevićDTD ORL · C · ADP 86	8.6	4.8	1.7	0.4	0.4	0.8	.5057.0	.8160.9	-0.40
116	Steven AdamsGTD HOU · C · ADP 429	4.7	6.9	2.0	0.7	0.4	0.0	.4773.5	.7002.0	-0.41
117	Oscar Tshiebwe HOU · C	1.3	1.7	0.3	0.2	0.0	0.0	.3761.3	.6600.5	-0.44
119	Wendell Carter ORL · C · ADP 183	11.0	7.4	2.0	0.8	0.6	0.9	.5047.9	.7542.9	-0.47
125	Victor Wembanyama SAS · C · ADP 1	25.7	11.4	3.4	1.0	3.4	1.9	.51917.4	.8217.1	-0.48
132	Jusuf NurkićOUT UTA · C · ADP 172	10.3	9.7	3.7	1.1	0.7	0.6	.5018.0	.6132.8	-0.52
134	Kevon Looney LAL · C · ADP 446	4.7	6.2	2.1	0.6	0.4	0.1	.4744.3	.6560.9	-0.53
137	Zeke Nnaji DEN · PF/C	3.4	2.2	1.0	0.3	0.1	0.4	.4402.7	.7360.9	-0.54
142	Jay Huff IND · C · ADP 263	7.7	3.0	1.1	0.4	1.4	1.2	.4855.8	.8251.0	-0.58
144	Jeremy Sochan POR · SF/PF/C · ADP 249	3.8	2.4	0.8	0.5	0.1	0.3	.4473.3	.7730.8	-0.60
146	Alperen ŞengünGTD HOU · PF/C · ADP 10	20.9	9.1	6.2	1.2	1.0	0.5	.51416.1	.6905.7	-0.62
147	Micah Potter POR · C	3.2	2.3	0.5	0.3	0.5	0.5	.4202.6	.5710.8	-0.63
150	Malevy Leons GSW · PF/C	3.0	1.9	0.7	0.2	0.1	0.2	.4092.6	.8550.8	-0.68
151	Karl-Anthony TownsGTD NYK · PF/C · ADP 10	20.8	11.4	3.5	0.9	0.6	1.7	.50914.3	.8515.4	-0.69
155	Trey Lyles MIN · PF/C	3.6	2.4	0.8	0.4	0.2	0.7	.4192.9	.7580.6	-0.70
156	Kyle FilipowskiDTD UTA · PF/C · ADP 194	11.6	7.3	2.5	0.9	0.5	1.1	.4948.7	.7182.7	-0.70
157	Larry Nance IND · PF/C · ADP 383	4.8	3.6	1.1	0.5	0.2	0.7	.4524.2	.6210.6	-0.71
167	Hannes Steinbach CHA · PF/C · ADP 214	8.3	5.3	1.0	0.5	0.8	0.4	.4807.0	.7561.6	-0.78
170	Andre Drummond NYK · C · ADP 423	5.6	8.0	1.1	0.8	0.6	0.4	.4554.9	.6291.2	-0.81
173	Orlando Robinson CHI · C	5.1	4.0	1.4	0.6	0.4	0.3	.4464.5	.6801.2	-0.82
174	Mouhamed GueyeDTD ATL · PF/C	5.0	3.8	1.6	0.5	0.3	0.6	.4414.2	.7340.9	-0.82
177	Dominick BarlowDTD PHI · PF/C · ADP 268	6.0	4.3	1.9	0.9	0.5	0.3	.4555.1	.6651.6	-0.84
179	Leonard Miller CHI · PF/C · ADP 365	6.0	3.4	0.6	0.3	0.3	0.6	.4524.9	.8451.0	-0.84
183	Taylor Hendricks MEM · PF/C · ADP 315	8.8	4.0	1.2	0.9	0.7	1.3	.4716.6	.7281.8	-0.86
186	Moritz Wagner BKN · C · ADP 488	10.1	4.9	1.3	0.6	0.4	0.8	.4757.3	.7633.2	-0.89
188	Tristan VukcevicOUT WAS · C · ADP 334	9.3	3.4	1.0	0.4	0.8	1.1	.4726.9	.7792.3	-0.89
189	Pete Nance MIL · SF/PF/C	3.5	2.1	1.3	0.3	0.3	0.7	.4043.2	.8420.2	-0.89
191	Harrison Barnes SAS · PF/C · ADP 369	7.6	2.3	1.2	0.6	0.5	1.2	.4585.7	.8061.4	-0.90
199	Jamison Battle TOR · SF/PF/C	4.3	2.0	1.0	0.3	0.2	0.9	.4193.8	.7410.3	-0.92
202	Tidjane Salaün CHA · PF/C · ADP 414	4.2	3.0	0.6	0.5	0.1	0.7	.4063.5	.7800.9	-0.93
204	Pascal Siakam IND · PF/C · ADP 47	21.7	6.7	3.7	1.0	0.4	1.5	.50516.6	.7134.8	-0.94
205	Jalen Smith CHI · PF/C · ADP 212	9.5	6.4	1.3	0.6	0.8	1.3	.4717.3	.7871.7	-0.94
210	Asa Newell ATL · PF/C · ADP 414	4.8	2.4	0.9	0.4	0.1	0.6	.4234.2	.7810.7	-0.97
215	Al HorfordDTD GSW · PF/C · ADP 311	5.8	3.8	1.6	0.4	0.7	1.2	.4374.9	.8500.4	-0.99
216	Charles Bassey GSW · C	3.3	4.2	0.7	0.3	0.1	0.0	.3873.2	.8601.0	-0.99
218	Brook Lopez LAC · C · ADP 313	8.3	3.1	1.1	0.4	1.1	1.4	.4606.7	.7921.0	-1.02
220	Thomas Bryant CLE · C · ADP 463	5.5	3.6	0.8	0.5	0.1	0.7	.4274.6	.8691.1	-1.03
225	Branden Carlson POR · C	4.3	2.5	0.6	0.3	0.1	0.7	.4084.0	.6890.6	-1.05
228	Sandro Mamukelashvili LAL · PF/C · ADP 201	13.0	6.3	2.3	0.8	0.4	2.0	.4809.6	.7482.3	-1.07
229	Derik Queen NOP · PF/C · ADP 112	14.2	7.8	4.1	1.2	0.9	0.4	.48611.0	.7933.9	-1.07
236	Bobby Portis MIA · PF/C · ADP 161	13.5	7.0	1.6	0.7	0.3	1.6	.48511.2	.7701.2	-1.12
242	Sidy Cissoko POR · PF/C	4.8	2.1	0.8	0.5	0.9	0.7	.4044.1	.7121.1	-1.13
260	Jaylin WilliamsGTD OKC · C · ADP 338	6.5	5.3	1.2	0.9	0.2	1.4	.4185.0	.7911.1	-1.22
265	Cameron Boozer MEM · PF/C · ADP 25	17.3	8.5	3.4	0.9	0.6	1.3	.48612.5	.7854.9	-1.24
269	Kenrich Williams OKC · PF/C · ADP 421	5.4	3.3	2.0	0.5	0.2	0.8	.4134.9	.8310.7	-1.26
272	Myles TurnerDTD MIL · C · ADP 81	12.7	5.7	1.4	0.7	1.7	1.9	.4699.5	.7612.4	-1.29
275	Onyeka OkongwuDTD ATL · C · ADP 72	15.6	8.1	2.9	1.1	1.3	2.0	.48111.8	.7633.0	-1.29
279	Quinten Post MEM · C · ADP 291	7.7	3.9	1.7	0.5	0.2	1.5	.4376.5	.7660.6	-1.34
281	Danny Wolf BKN · SF/PF/C · ADP 274	7.6	4.0	1.6	0.6	0.3	1.1	.4306.2	.7531.5	-1.35
283	Alex Sarr WAS · C · ADP 63	16.4	7.2	2.4	0.9	1.2	1.4	.48513.5	.7072.7	-1.36
285	Zach CollinsDTD CHI · C · ADP 444	7.3	4.9	2.0	0.5	0.5	0.7	.4296.2	.7721.7	-1.37
292	Draymond GreenDTD GSW · PF/C · ADP 146	7.8	5.4	5.1	1.0	0.7	1.2	.4316.5	.6901.4	-1.42
303	Kristaps PorziņģisOUT GSW · C · ADP 89	16.7	5.0	2.4	0.6	1.2	1.9	.47311.8	.8384.4	-1.47
307	Joel EmbiidDTD PHI · C · ADP 56	24.6	7.5	3.9	0.6	1.2	1.3	.48916.6	.8678.1	-1.50
314	Simone Fontecchio MIA · PF/C	7.1	2.8	1.0	0.5	0.2	1.4	.4085.9	.8211.2	-1.56
358	Jaren Jackson UTA · PF/C · ADP 40	18.8	6.2	2.1	1.2	1.7	1.6	.47314.5	.7994.3	-1.81
364	Julius Randle BKN · PF/C · ADP 62	20.2	7.0	4.9	0.9	0.2	1.5	.47414.9	.8015.8	-1.83
373	Naz Reid CHA · PF/C · ADP 76	15.4	6.6	2.3	1.0	1.1	2.4	.46112.6	.7501.9	-1.91
385	P.J. Washington DAL · SF/PF/C · ADP 125	13.6	6.8	1.9	1.0	1.0	1.5	.44811.2	.7003.0	-2.02
395	Noah Clowney BKN · PF/C · ADP 293	9.9	4.1	1.4	0.8	0.6	1.6	.4027.5	.8112.8	-2.10
408	Nikola Jović MIA · SF/PF/C · ADP 272	8.6	3.8	1.5	0.7	0.4	1.4	.3897.4	.7352.0	-2.26
444	Bam AdebayoDTD MIA · PF/C · ADP 36	20.3	8.6	3.7	1.2	0.7	2.0	.44915.9	.7695.2	-2.81

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.