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8-cat fantasy basketball rankings 2026-27

The top 200 for 8-category leagues, the nine standard categories without turnovers. Nikola Jokić leads at +13.1 across the eight. Ja Morant gains the most in the top 100, No. 147 in 9-cat to No. 68 here. Ranks are our board's order from real box scores, not ADP.

8-cat. Valued on 8 categories: PTS, REB, AST, STL, BLK, 3PM, FG%, FT% (head-to-head: per game).

Who climbs without turnovers

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The 8-cat board

#RdPlayerPTSREBASTSTLBLK3PMFG%FT%Value9-cat
11.0127.712.910.71.40.81.756.9%83.1%+13.1#1
21.0225.011.53.11.03.11.951.2%82.7%+10.3#2
31.0333.57.78.31.60.54.047.6%78.0%+9.1#6
41.0431.14.36.61.40.81.755.3%87.9%+8.9#3
51.0528.34.16.61.90.83.146.2%89.2%+7.8#5
61.0627.96.43.61.90.42.650.5%89.2%+7.5#4
71.0727.94.55.71.50.33.248.3%86.5%+5.7#7
81.0823.95.59.91.40.82.046.1%81.2%+5.6#16
91.0926.63.64.71.10.44.446.8%92.3%+5.3#10
101.1022.510.37.91.20.41.748.9%78.8%+5.1#17
111.11
Kevin Durant
SF/PFHOU
26.05.54.80.80.92.452.0%87.4%+4.9#15
121.1228.85.03.71.40.83.448.9%79.6%+4.8#13
132.01
Kevin Porter
PG/SGMIL
17.45.27.42.20.51.246.5%87.8%+4.7#14
142.0223.64.88.01.10.43.143.4%88.4%+4.7#23
152.0318.17.55.91.41.40.850.7%81.5%+4.6#12
162.0425.44.47.10.90.43.348.3%88.7%+4.6#9
172.0526.97.73.90.61.21.448.9%85.4%+3.8#22
182.06
Trey Murphy
SG/SFNOP
21.55.73.81.50.43.247.0%88.6%+3.8#11
192.0726.76.92.11.00.52.747.7%89.6%+3.8#8
202.0823.34.75.51.10.42.349.0%87.1%+3.5#24
212.0920.111.93.00.90.51.550.1%85.8%+3.3#21
222.1020.411.12.81.11.60.550.6%72.8%+3.2#19
232.1123.63.76.11.10.32.545.6%89.2%+2.8#36
242.1224.27.13.01.10.33.446.3%85.9%+2.7#25
253.01
Jaylen Brown
SF/SG/PFPHI
28.76.95.11.00.42.047.7%79.5%+2.6#56
263.02
Jimmy Butler
SF/SG/PFGSWOUT
20.05.64.91.40.20.851.9%86.4%+2.5#20
273.03
Chet Holmgren
C/PFOKCDTD
17.18.91.70.61.91.355.7%79.2%+2.5#18
283.04
Amen Thompson
SG/PG/SFHOU
18.37.85.31.50.60.353.4%77.9%+2.5#28
293.0520.48.96.21.21.10.651.9%69.1%+2.4#42
303.0617.08.39.11.00.51.944.8%76.3%+2.4#60
313.0720.83.43.71.30.53.245.9%90.2%+2.3#26
323.0820.14.87.11.20.23.840.7%89.9%+2.2#40
333.09
LeBron James
PF/PG/SFPHI
20.96.17.21.20.61.351.5%73.7%+2.2#43
343.1027.69.85.40.90.70.462.4%65.0%+2.1#50
353.11
Deni Avdija
PF/SG/SFPOR
24.26.96.70.80.61.946.2%80.2%+2.1#67
363.12
Cooper Flagg
SG/PG/SFDAL
21.06.74.51.20.91.046.8%82.7%+1.8#35
374.0117.34.65.61.50.42.547.2%79.6%+1.8#47
384.0213.83.95.51.80.72.143.5%85.5%+1.8#46
394.0319.510.52.00.80.80.065.0%74.7%+1.7#27
404.04
Devin Booker
SG/PGPHX
26.13.96.00.80.31.945.6%87.3%+1.7#63
414.0516.54.45.41.11.32.739.4%90.2%+1.5#29
424.06
OG Anunoby
PF/SFNYK
16.75.22.21.60.72.348.4%82.8%+1.5#31
434.07
Paul George
SF/SG/PFBOS
17.35.33.61.70.42.743.9%82.0%+1.4#33
444.08
Desmond Bane
SG/PGORL
20.14.14.11.00.52.048.4%90.8%+1.4#37
454.0926.03.36.80.80.12.646.7%84.1%+1.3#49
464.10
Bam Adebayo
C/PFMIADTD
20.110.03.21.20.71.744.2%77.8%+1.2#32
474.1119.45.72.01.11.41.847.6%80.3%+1.2#44
484.12
Brandon Miller
SF/SG/PFCHA
20.24.93.31.00.73.143.5%89.2%+1.2#53
495.0115.27.63.11.11.11.948.0%75.7%+1.0#34
505.0211.96.85.92.00.40.351.7%61.5%+0.9#39
515.0318.29.03.60.71.71.054.6%60.6%+0.8#41
525.04
Tyler Herro
SG/PGMIL
20.54.84.10.70.42.548.0%91.7%+0.7#48
535.0521.16.75.01.10.21.448.1%80.2%+0.7#68
545.0612.111.62.10.61.71.152.0%68.0%+0.6#30
555.07
Alex Sarr
C/PFWAS
16.37.42.70.82.01.048.2%69.2%+0.4#45
565.08
VJ Edgecombe
SG/PGPHI
16.05.64.21.40.52.043.8%81.8%+0.2#54
575.09
Brandon Ingram
SF/SG/PFLACOUT
21.55.63.70.80.71.847.7%82.0%+0.1#78
585.10
Kon Knueppel
SG/SFCHADTD
18.55.33.40.70.23.447.5%86.3%+0.1#62
595.1118.63.86.21.20.31.848.6%76.0%+0.1#71
605.12
Mikal Bridges
SF/SG/PFNYK
14.43.83.71.30.81.949.0%82.7%+0.0#38
616.0118.82.46.71.00.22.746.0%86.1%+0.0#99
626.0216.44.05.91.30.12.544.3%82.1%-0.0#51
636.0316.35.82.10.71.52.246.3%78.6%-0.1#66
646.0422.28.45.20.70.61.245.9%77.5%-0.2#111
656.0514.84.22.71.11.01.451.5%83.5%-0.2#61
666.06
Jrue Holiday
PG/SGPORDTD
16.34.66.11.00.12.645.1%83.8%-0.2#101
676.07
Andrew Wiggins
SF/SG/PFMIA
15.44.82.71.11.02.047.5%78.4%-0.2#58
686.08
Ja Morant
PG/SGPOR
19.43.38.11.00.31.041.0%89.7%-0.3#147
696.0921.73.52.51.10.22.747.0%82.7%-0.3#69
706.1014.85.14.51.00.92.143.8%80.2%-0.5#100
716.1115.18.43.30.60.61.649.3%82.8%-0.5#57
726.12
Josh Hart
SG/SFNYKDTD
12.07.44.81.10.31.550.8%72.0%-0.5#76
737.0115.48.51.81.00.80.063.8%70.9%-0.6#55
747.02
Jalen Williams
PF/SG/SFOKC
17.14.65.51.20.30.748.4%83.7%-0.6#83
757.0324.06.63.81.10.41.748.4%69.3%-0.7#92
767.0413.52.93.41.50.72.843.0%80.2%-0.7#65
777.05
Franz Wagner
SF/PFORLDTD
20.65.23.30.90.31.448.1%82.3%-0.8#75
787.0616.75.37.41.10.31.247.1%73.4%-0.8#149
797.07
Grayson Allen
SF/SGCHADTD
16.53.03.81.40.33.140.3%85.7%-0.9#79
807.08
Naz Reid
C/PFCHA
13.66.22.21.01.02.145.6%73.2%-1.0#85
817.0917.03.95.20.70.12.746.4%89.0%-1.0#70
827.1012.74.14.61.20.22.941.8%87.4%-1.1#86
837.1110.910.44.81.30.50.650.3%54.9%-1.1#115
847.1210.28.41.70.81.30.065.3%70.3%-1.1#59
858.01
Tre Jones
SG/PG/SFCHI
14.13.15.41.20.20.655.3%84.1%-1.2#74
868.0211.19.00.70.81.11.253.0%74.0%-1.2#52
878.03
Shaedon Sharpe
SG/PGPOROUT
20.84.32.61.40.12.145.2%78.7%-1.2#156
888.049.95.73.12.00.90.152.5%57.1%-1.2#84
898.0516.92.87.70.90.11.944.2%82.5%-1.3#125
908.06
DeMar DeRozan
SF/SG/PFDEN
18.42.94.11.00.30.649.7%86.8%-1.3#72
918.0721.05.73.21.00.50.060.0%71.6%-1.3#102
928.0816.75.22.50.61.21.744.6%84.2%-1.3#73
938.0915.86.91.90.70.92.345.0%77.5%-1.3#80
948.1011.78.01.00.90.90.064.4%77.1%-1.3#64
958.119.29.43.51.00.80.062.2%61.0%-1.4#89
968.1210.911.51.70.81.60.068.2%52.6%-1.4#77
979.0114.110.62.20.40.80.059.8%71.1%-1.5#94
989.0211.77.13.71.00.90.347.3%79.5%-1.6#130
999.0314.05.71.71.01.61.342.0%77.6%-1.6#82
1009.04
Donte DiVincenzo
SG/SFMINOUT
12.24.13.81.30.43.040.6%74.3%-1.6#88
1019.05
Anthony Black
SG/PG/SFORLDTD
15.03.83.71.40.71.644.7%73.2%-1.7#123
1029.06
Ayo Dosunmu
SG/PGMIN
14.83.43.60.80.31.851.7%87.6%-1.8#93
1039.07
Zach LaVine
SG/SFSAC
19.22.82.30.70.32.547.9%88.0%-1.8#119
1049.08
Saddiq Bey
SF/PFNOP
17.75.62.50.90.12.145.1%84.1%-1.8#81
1059.09
CJ McCollum
PG/SGATL
18.73.33.90.80.52.545.5%77.2%-1.8#113
1069.1014.64.92.10.91.11.549.1%73.0%-1.9#108
1079.1113.63.33.61.20.31.148.5%87.0%-1.9#97
1089.12
Kelly Oubre
PF/SFIND
14.15.01.61.40.51.746.7%76.6%-2.0#96
10910.0111.95.31.50.71.62.144.0%74.0%-2.0#87
11010.02
Toumani Camara
SF/SG/PFPOR
13.45.12.51.10.42.744.0%70.8%-2.0#118
11110.0317.15.83.20.60.41.946.0%82.2%-2.0#103
11210.0413.85.13.71.10.21.945.5%79.7%-2.1#114
11310.0513.65.31.00.90.71.355.2%76.6%-2.1#104
11410.06
Jerami Grant
PF/SFMEMDTD
18.63.52.10.70.62.445.3%81.4%-2.2#144
11510.07
Santi Aldama
PF/SFDALDTD
14.06.72.90.90.71.647.9%66.7%-2.2#98
11610.0812.58.00.80.61.00.067.1%64.5%-2.2#91
11710.09
Cason Wallace
SG/PG/SFOKCDTD
8.63.12.61.90.41.343.2%80.9%-2.3#90
11810.10
Collin Sexton
SG/PGLALDTD
15.42.33.31.10.11.648.5%85.5%-2.3#151
11910.11
P.J. Washington
PF/SF/CDAL
14.27.01.81.01.11.445.0%68.7%-2.4#128
12010.1217.65.42.40.80.21.443.0%86.9%-2.4#160
12111.0111.87.42.00.80.60.951.2%79.2%-2.5#107
12211.02
Cam Spencer
SG/PG/SFMEM
11.12.55.60.70.22.047.3%94.0%-2.6#117
12311.0310.77.02.00.90.70.070.0%60.2%-2.6#109
12411.049.84.82.71.10.42.742.1%71.1%-2.6#120
12511.0513.35.12.50.90.41.346.9%86.6%-2.6#106
12611.069.54.01.50.51.91.547.6%82.8%-2.6#95
12711.07
Kyle Filipowski
C/PFUTADTD
11.47.22.60.90.51.049.2%75.0%-2.6#135
12811.088.45.55.50.90.61.541.8%70.2%-2.7#189
12911.0911.74.32.61.31.01.242.5%74.6%-2.7#129
13011.10
RJ Barrett
SF/SG/PFTOR
19.35.33.30.70.31.749.1%71.7%-2.7#146
13111.11
Jaylon Tyson
SF/SG/PFCLE
13.25.12.20.80.42.049.3%73.8%-2.7#132
13211.1213.65.92.80.60.41.547.1%84.3%-2.8#145
13312.01
Dillon Brooks
SF/SG/PFPHX
20.23.61.81.00.22.343.5%84.2%-2.8#155
13412.02
Jaime Jaquez
PF/SG/SFMIL
15.45.04.70.70.30.850.7%76.9%-2.8#164
13512.0312.33.22.61.60.41.540.7%82.6%-3.0#163
13612.046.77.01.00.61.50.270.8%59.6%-3.0#105
13712.05
Naji Marshall
SF/SG/PFDAL
15.24.73.31.10.10.851.0%76.0%-3.0#152
13812.067.98.71.90.81.00.063.1%65.9%-3.0#110
13912.079.56.91.10.81.30.065.5%68.3%-3.0#121
14012.0816.25.82.70.60.31.749.7%76.7%-3.0#122
14112.0913.94.02.50.90.42.543.7%81.5%-3.1#116
14212.10
Nic Claxton
C/PFCHIDTD
11.76.93.70.71.10.057.1%61.6%-3.1#138
14312.1111.15.81.50.80.52.443.7%84.4%-3.1#112
14412.1211.72.57.21.10.30.549.5%72.2%-3.1#201
14513.0113.43.63.30.90.41.745.0%84.0%-3.2#165
14613.02
Kris Dunn
SG/PGLAC
7.33.33.61.60.21.047.6%76.5%-3.3#150
14713.03
Cameron Johnson
SF/SG/PFDEN
12.23.82.40.70.42.048.0%83.9%-3.3#124
14813.0412.57.51.40.50.50.357.1%78.6%-3.3#143
14913.05
Al Horford
C/PFGSW
8.34.92.60.71.11.642.6%84.6%-3.3#126
15013.06
Tari Eason
SG/SFHOU
10.46.31.51.20.51.641.6%77.6%-3.3#153
15113.0714.33.73.41.20.41.243.4%78.9%-3.4#195
15213.085.82.00.92.00.51.243.3%84.0%-3.4#131
15313.09
Moses Moody
SF/SG/PFGSWOUT
12.13.31.61.00.62.544.0%77.0%-3.4#134
15413.1011.24.91.90.80.51.452.3%74.7%-3.5#127
15513.119.32.76.51.00.21.349.0%64.6%-3.5#167
15613.12
Coby White
PG/SGCHADTD
17.43.44.00.50.12.344.6%81.7%-3.5#226
15714.018.93.42.81.60.51.438.3%80.6%-3.5#158
15814.028.74.92.21.50.21.641.3%69.6%-3.6#141
15914.03
Jalen Green
SG/SFPHX
17.83.62.81.10.32.242.2%74.7%-3.6#212
16014.0413.76.41.60.60.22.048.8%70.6%-3.6#142
16114.05
Ace Bailey
SF/PFUTA
13.84.21.80.80.71.944.3%75.0%-3.6#168
16214.0614.22.73.70.90.31.941.8%84.0%-3.6#227
16314.078.76.72.31.10.40.160.1%67.8%-3.7#179
16414.087.65.50.80.51.50.075.3%71.6%-3.7#136
16514.09
Marcus Smart
SG/PG/SFHOU
9.32.83.01.40.41.639.5%82.2%-3.8#175
16614.10
Isaiah Stewart
C/PFMEMOUT
10.05.01.10.31.60.755.0%75.6%-3.8#157
16714.11
Dylan Cardwell
C/PFSACOUT
5.47.51.40.71.50.058.7%51.0%-3.8#139
16814.1210.13.51.40.91.01.149.9%76.3%-3.8#140
16915.01
Sam Merrill
SG/SFCLEDTD
12.82.62.40.60.13.046.1%85.5%-3.9#148
17015.025.78.80.90.91.20.072.3%40.8%-3.9#133
17115.0310.26.71.20.50.81.548.3%74.2%-4.0#159
17215.048.55.01.90.90.90.357.9%65.7%-4.0#161
17315.059.42.25.11.00.20.353.8%86.2%-4.1#169
17415.0612.04.82.70.70.31.051.9%78.2%-4.1#162
17515.07
Dylan Harper
SG/PGSAS
11.83.43.90.80.30.950.5%75.6%-4.1#186
17615.08
Max Christie
SG/SFDAL
12.33.22.00.60.42.344.1%89.9%-4.2#180
17715.09
Brice Sensabaugh
SF/SG/PFUTA
14.93.11.90.70.22.246.0%82.6%-4.2#204
17815.1010.22.41.11.40.41.542.5%85.0%-4.3#174
17915.11
Aaron Nesmith
SF/SGINDDTD
13.84.21.90.60.52.341.4%82.9%-4.3#190
18015.12
Egor Dëmin
SG/PGBKN
10.33.23.30.80.32.439.9%83.1%-4.3#209
18116.018.75.61.20.90.60.850.2%78.4%-4.3#154
18216.02
Javon Small
PG/SGMEM
9.73.13.70.80.21.546.5%82.9%-4.4#191
18316.036.56.11.90.51.00.064.3%82.5%-4.4#137
18416.0412.02.42.60.90.22.742.3%78.7%-4.4#166
18516.05
Jake LaRavia
SF/SGLAL
8.24.01.81.30.51.045.9%76.3%-4.4#177
18616.06
Obi Toppin
PF/SFIND
11.64.42.30.50.01.550.3%91.3%-4.4#183
18716.0710.03.52.60.90.51.445.1%77.5%-4.4#178
18816.08
Kyle Kuzma
PF/SFMIL
13.04.52.70.70.41.249.2%72.6%-4.4#216
18916.0913.02.93.90.90.30.547.2%79.3%-4.5#233
19016.1012.34.11.60.80.72.039.6%80.4%-4.5#206
19116.11
Jarace Walker
PF/SFINDDTD
11.65.12.50.80.31.841.9%74.9%-4.5#229
19216.1213.25.41.40.60.11.251.9%79.4%-4.6#172
19317.01
Paul Reed
C/PFDET
7.84.51.20.90.90.261.7%66.4%-4.6#173
19417.02
GG Jackson
PF/SFMEMDTD
12.54.31.50.60.81.249.6%74.2%-4.6#211
19517.0310.16.71.40.90.70.452.8%55.4%-4.6#176
19617.0412.22.72.10.60.32.945.6%75.5%-4.6#171
19717.0510.46.11.40.50.70.461.8%66.0%-4.7#182
19817.0610.73.44.60.60.22.142.4%73.0%-4.7#261
19917.079.93.71.60.90.31.645.0%88.4%-4.7#181
20017.08
Anfernee Simons
PG/SGPHIDTD
14.32.52.40.50.12.744.0%89.6%-4.7#203

Per-game lines; value is the sum of the eight category z-scores. Rd is where the rank lands in a 12-team draft. The last column is his rank on the standard 9-cat board, so the gap is what turnovers cost him there. Showing the top 200.

Common questions

  • What is an 8-cat fantasy basketball league?

    The standard nine categories without turnovers: points, rebounds, assists, steals, blocks, threes, field goal percentage and free throw percentage. Players who handle the ball a lot stop paying for their turnovers.

  • Who are the top 8-cat players for 2026-27?

    Nikola Jokić (+13.1), Victor Wembanyama (+10.3) and Luka Dončić (+9.1) on our board.

  • How different is 8-cat from 9-cat?

    The biggest climber in the top 100 is Ja Morant, No. 147 in 9-cat and No. 68 in 8-cat, because his 3.5 turnovers a game no longer count against him. 10 players in the top 100 climb five places or more.

  • How is the 8-cat value worked out?

    Each of the eight categories is a z-score against the top 156 players, chosen by the eight-category value itself, so the pool is the one an 8-cat league rosters. Percentages are weighted by attempts. The eight are added up.

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