◆ Statz Model

NBA Fantasy Rankings

Every player valued for the format you actually play — nine categories, or points.

2025-26 production
Format
Punt a category — its z-score stops counting
Guards · 214 ranked
10value between the best and the 30th
Forwards · 187 ranked
11.94value between the best and the 30th
Centres · 52 ranked
16.62value between the best and the 30th
#PlayerTierValueGPMINPTSREBASTSTLBLK3PMFG%FT%TO
1
Nikola Jokic
Nikola Jokic
C · DEN
T116.67135.22.724.034.611.681.010.593.291.86-3.19
2
VW
Victor Wembanyama
F-C · SAS
T215.738730.42.263.310.350.717.110.821.261.48-1.57
3
Shai Gilgeous-Alexander
Shai Gilgeous-Alexander
G · OKC
T314.28333.83.180.072.51.660.920.52.84.02-1.45
4
Kawhi Leonard
Kawhi Leonard
F · LAC
T412.586632.32.761.110.692.91-0.051.71.453.1-1.09
5
Tyrese Maxey
Tyrese Maxey
G · PHI
T511.588238.32.750.092.312.540.792.18-0.352.74-1.47
6
Luka Doncic
Luka Doncic
F-G · LAL
T511.336435.83.651.723.312.370.273.270.32-0.09-3.49
7
LM
Lauri Markkanen
F · UTA
T69.674234.42.591.34-0.130.680.191.830.333.18-0.34
8
SC
Stephen Curry
G · GSW
T69.54531.22.56-0.161.311.09-0.133.83-0.143.18-2.04
9
Jamal Murray
Jamal Murray
G · DEN
T69.248135.72.360.252.610.36-0.122.330.132.64-1.32
10
Kevin Durant
Kevin Durant
F · HOU
T69.167936.52.470.711.340.151.251.41.942.43-2.53
11
Scottie Barnes
Scottie Barnes
G-F · TOR
T68.9387341.321.572.111.742.69-0.351.160.54-1.85
12
TM
Trey Murphy III
F · NOP
T68.686635.41.770.820.82-0.162.420.061.71-0.74
13
Donovan Mitchell
Donovan Mitchell
G · CLE
T68.5888342.710.311.561.79-0.372.290.321.94-1.97
14
KT
Karl-Anthony Towns
C · NYK
T68.429530.81.413.450.570.570.640.371.11.94-1.63
15
Chet Holmgren
Chet Holmgren
C-F · OKC
T68.398429.21.022.19-0.43-0.13.60.062.120.28-0.35
16
JB
Jimmy Butler
G-F · GSW
T68.223831.21.540.751.411.86-0.56-0.381.322.72-0.44
17
Kevin Porter Jr.
Kevin Porter Jr.
G · MIL
T68.093833.21.130.592.83.80.190.05-0.11.74-2.11
18
Joel Embiid
Joel Embiid
F-C · PHI
T67.964531.82.541.681.02-0.611.880.140.622.62-1.93
19
Cade Cunningham
Cade Cunningham
G-F · DET
T67.727835.22.270.713.971.660.951.12-0.551.15-3.56
20
AD
Anthony Davis
F-C · DAL
T67.72031.31.593.210.250.943.16-0.791.32-0.94-1.04
21
Jalen Johnson
Jalen Johnson
F · ATL
T67.667835.31.92.772.961.22-0.010.570.580.3-2.63
22
Anthony Edwards
Anthony Edwards
G · MIN
T67.617134.62.760.530.681.310.932.340.520.53-1.99
23
OA
OG Anunoby
F · NYK
T67.48533.51.150.72-0.162.070.931.470.820.82-0.42
24
James Harden
James Harden
G · CLE
T77.138835.41.960.442.851.340.071.99-1.292.95-3.18
25
Jayson Tatum
Jayson Tatum
F · BOS
T76.952233.61.882.821.881.52-0.752.14-1.530.65-1.66
26
Austin Reaves
Austin Reaves
G · LAL
T76.875734.720.341.770.630.121.240.382.79-2.4
27
Michael Porter Jr.
Michael Porter Jr.
F · BKN
T76.825232.42.21.420.380.83-0.462.59-0.211.48-1.41
28
KG
Keyonte George
G · UTA
T76.715433.12.1-0.092.120.88-0.431.53-0.433.36-2.33
29
Amen Thompson
Amen Thompson
G-F · HOU
T86.398537.81.281.721.672.10.57-11.74-0.2-1.49
30
Nickeil Alexander-Walker
Nickeil Alexander-Walker
G · ATL
T86.368433.51.59-0.230.71.340.342.38-0.461.84-1.14
31
Desmond Bane
Desmond Bane
G · ORL
T86.239133.91.540.140.8610.031.150.232.24-0.96
32
Cooper Flagg
Cooper Flagg
F · DAL
T86.067033.51.71.241.211.211.26-0.17-0.020.98-1.35
33
Derrick White
Derrick White
G · BOS
T85.988434.20.910.191.580.992.211.75-2.361.33-0.62
34
Onyeka Okongwu
Onyeka Okongwu
F-C · ATL
T85.838031.30.751.630.40.981.610.880.42-0.28-0.56
35
Jalen Duren
Jalen Duren
C · DET
T85.728428.51.222.82-0.190.121.23-1.373.81-1.04-0.88
36
Tyler Herro
Tyler Herro
G · MIA
T85.73431.21.630.381.02-0.17-0.191.620.262.05-0.9
37
Bam Adebayo
Bam Adebayo
C-F · MIA
T85.657432.11.522.710.451.140.610.64-0.83-0.1-0.49
38
JJ
Jaren Jackson Jr.
F-C · UTA
T85.634830.31.440.8-0.220.952.610.680.230.4-1.26
39
JB
Jalen Brunson
G · NYK
T85.619435.52.56-0.262.40.29-0.831.63-0.141.5-1.54
40
Donovan Clingan
Donovan Clingan
C · POR
T85.568326.80.243.34-0.12-0.533.13-0.120.69-1.140.07
41
LaMelo Ball
LaMelo Ball
G · CHA
T85.457428.11.580.42.681.18-0.483.01-2.31.38-2
42
AS
Alexandre Sarr
C · WAS
T85.374827.20.961.570.20.194-0.150.39-1.19-0.6
43
MB
Mikal Bridges
F · NYK
T85.2610232.70.63-0.080.661.30.620.690.760.370.31
44
Paul George
Paul George
F · PHI
T85.214931.91.080.50.642.2401.88-0.790.32-0.66
45
Brandon Miller
Brandon Miller
F · CHA
T85.216730.31.560.440.550.720.672.35-1.071.62-1.63
46
Alperen Sengun
Alperen Sengun
F-C · HOU
T85.197833.81.592.292.071.291.71-0.761.53-2.11-2.42
47
Evan Mobley
Evan Mobley
F-C · CLE
T85.158332.71.212.20.730.113.41-0.162.06-3.48-0.93
48
Ryan Rollins
Ryan Rollins
G · MIL
T85.087432.11.120.311.811.96-0.021.540.10.14-1.88
49
LeBron James
LeBron James
F · LAL
T85.057033.91.731.022.711.240.30.21.23-1.01-2.37
50
Kel'el Ware
Kel'el Ware
C · MIA
T84.977822.40.142.35-0.880.041.840.041.09-0.210.56
51
Andrew Wiggins
Andrew Wiggins
F-G · MIA
T84.96930.50.840.440.190.951.481.040.220.07-0.33
52
Devin Booker
Devin Booker
G · PHX
T84.8870342.4202.010.08-0.40.75-0.542.98-2.42
53
Jaylen Brown
Jaylen Brown
G · BOS
T84.827834.52.861.321.460.680.050.990.280.23-3.05
54
Immanuel Quickley
Immanuel Quickley
G · TOR
T84.87031.90.980.0721.51-0.921.61-0.690.52-0.28
55
Dyson Daniels
Dyson Daniels
G · ATL
T84.748232.80.211.31.953.18-0.06-10.96-1.11-0.69
56
Josh Giddey
Josh Giddey
G · CHI
T84.665432.11.071.983.790.730.190.86-0.58-0.34-3.04
57
Neemias Queta
Neemias Queta
C · BOS
T84.618325-0.012.02-0.44-0.022.19-1.362.61-0.710.33
58
Giannis Antetokounmpo
Giannis Antetokounmpo
F · MIL
T84.63628.92.732.641.730.530.62-0.885.45-5.73-2.49
59
DeMar DeRozan
DeMar DeRozan
G · SAC
T84.517731.31.29-0.420.980.78-0.33-0.660.782.11-0.02
60
Matas Buzelis
Matas Buzelis
F · CHI
T84.57729.20.950.87-0.17-0.072.781.26-0.130.06-1.05
61
Mark Williams
Mark Williams
C · PHX
T84.466123.60.211.79-0.760.421.35-1.352.71-0.120.21
62
Kon Knueppel
Kon Knueppel
G-F · CHA
T84.468331.41.260.640.54-0.11-0.512.490.051-0.9
63
Franz Wagner
Franz Wagner
F · ORL
T84.414029.91.520.620.590.94-0.330.120.261.22-0.53
64
Jalen Suggs
Jalen Suggs
G · ORL
T84.46628.40.490.021.662.830.661.08-1.230.73-1.84
65
Jaden McDaniels
Jaden McDaniels
F · MIN
T84.3485320.760.260.190.741.360.190.850.63-0.64
66
KP
Kristaps Porzingis
F-C · GSW
T84.333423.910.540.1-0.481.930.66-0.351.04-0.11
67
Deni Avdija
Deni Avdija
F · POR
T84.327233.52.211.312.38-0.010.550.82-0.10.44-3.28
68
Tre Jones
Tre Jones
G · CHI
T84.265270.61-0.331.691.13-0.67-0.631.710.92-0.23
69
Norman Powell
Norman Powell
F-G · MIA
T84.15929.41.78-0.180.050.9-0.491.740.091.07-0.86
70
Jarrett Allen
Jarrett Allen
C · CLE
T84.097427.70.711.92-0.410.641.62-1.353.23-2.26-0.01
71
Nikola Vucevic
Nikola Vucevic
C · BOS
T84.097027.60.651.860.5-0.450.520.420.50.21-0.12
72
VJ Edgecombe
VJ Edgecombe
G · PHI
T83.988735.30.870.840.951.650.170.93-0.970.29-0.75
73
Payton Pritchard
Payton Pritchard
G · BOS
T83.958632.41.040.021.57-0.09-0.81.75-0.220.8-0.12
74
Jabari Smith Jr.
Jabari Smith Jr.
F · HOU
T83.798335.60.891.39-0.280.011.231.39-0.63-0.08-0.13
75
Brandon Ingram
Brandon Ingram
F · TOR
T83.738233.51.680.70.70.010.750.630.060.68-1.48

Cells are z-scores — standard deviations above or below the pool average. FG% and FT% are volume-weighted impact, not raw rate.

Two formats, two different boards. A points league is one scoring formula and one number, so the best player is simply the one who accumulates most. A category league is nine independent races, and a player is worth how far above average he sits in each of them — which is what a z-score measures and what these rankings total. The two orders genuinely differ: a high-usage guard who turns the ball over can top a points board and sit well down a category one. Percentage categories are scored on volume-weighted impact rather than the raw rate, because a ninety per cent free-throw shooter taking one attempt a night moves nothing, while the same rate on nine attempts decides the category outright. Punt a category and its z-score stops counting, which is the entire point of the strategy and reshuffles the board immediately.

Frequently asked

Because they reward different things. Points leagues pay for volume, so heavy usage wins even with poor efficiency. Category leagues pay for being above average in nine separate races, so a specialist who dominates blocks or threes can outrank a bigger scorer.

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