AN INTRODUCTION TO PUNTING IN FANTASY BASKETBALL

First thing’s first, if you’re in a roto league then this guide isn’t for you (because you shouldn’t be actively punting in roto leagues), and if you're in a points league, punting doesn't exist, but if you’re in a head-to-head league, then grab yourself a beverage and some snacks, because you’ve got some reading to do.

What’s punting? And why do it?

Punting is when you ignore a specific category in your draft to maximize your chances of drafting players who make your other categories stronger.

Punting a player's worst category can increase their value, making it easier to find players more valuable than where you can draft them. Eg. In standard 9 category leagues, Giannis Antetokounmpo finished 22nd overall in per-game value, but if you punt/ignore the FT% category he becomes the best player in the league. This is why you see Giannis drafted in the first round of fantasy drafts (because the person drafting him is most likely punting FT%).

It’s important to remember that just because you’re punting a category, it doesn’t mean you have to totally ignore players who have a positive impact in that category. All of the elite rebounders are also top performers in the FG% category, so if you’re punting FG% and you need elite rebounding you’re going to end up with a few players on your roster who shoot 50%+ from the field.

And that’s totally fine. In fact, the punt won’t work without it.

Is it OK to punt more than one category?

Yes! Assuming you’re playing in a standard 9 category league, then attempting a double, or even triple-punt is doable. If you’re new to punting then I’d advise against attempting a triple-punt, especially in the season we’re about to have where games are going to be rescheduled and postponed.

Punt pairings that work well together are punt FG% + REB, AST + STL, BLK + FG%, PTS + FT%, and my favorite triple punt, which is FG%, FT% and TO.

More about the triple punt

Punting FG%, FT% and TO remove the categories that can potentially hurt your team by collecting a stat. You don’t have to worry about players missing shots and hurting your shooting percentages or turning the ball over, you just need to worry about them chasing what’s referred to as the counting stats (PTS, 3PM, REB, AST, STL, and BLK).

Only a handful of players are positive contributors to both FG% and FT% with most players inefficient or league-average in one. This build lets you pair players who tank one percentage with the other to maximize your counting stats. Guys like Luka Doncic, Russell Westbrook, Andre Drummond (or any other elite REB and BLK guy who has a poor FT%), Lonzo Ball, De'Aaron Fox, Marcus Smart, and Draymond Green fit perfectly in this build).

When you’re ignoring both shooting percentages it also makes it a lot easier to stream.

Hold up - what’s streaming?

Streaming is when you have a roster spot (or two) dedicated to rotating players in and out of them by adding players on days they’re playing, and dropping them when they’re not.

The more players you have playing, the more stats you collect, increasing your chances of winning your match-up. Just don’t do anything silly like drop a player who’s worth keeping.

If you can punt three categories why can’t you punt four?

Punting four categories is basically the fantasy basketball version of Kings owner Vivek Randive’s idea of playing 4-on-5 defense (and leaving one player to cherry-pick for a guaranteed basket).

Sure, it sounds crazy enough that it might just work, and I’m sure there are people who have pulled it off, but there’s too large of a margin for error to be able to pull it off. And with the potential of so many games being rescheduled and postponed this season, you run the risk of missing games from key contributors, and losing one of your five categories.

Should you know what you’re punting before your draft?

Generally speaking, no, but you should be prepared to go down a few different paths based on your first pick. And you should have a good idea of what you're going to do before you take your second, but you don't want to plan for a double or triple punt too early, because if you do, you run the risk of messing up your draft by taking categories off the table that you might still need. Eg. It’s really hard to find elite assists and points in the middle to late rounds of drafts.

How early is too early to draft a player based on their punt build ranking?

When you punt a specific category, to you, the value of certain players increase, but it doesn’t mean you should draft them based on their value in your punt. Look at their ADP (average draft position), where the platform you’re drafting on ranks them, and our projections, and if you need to, draft them a round or two early.

After all, the value of punting in being able to draft valuable players for your build at spots that make them valuable. If you draft Rudy Gobert (who’s projected to be ranked 5th in a punt FT% build) at the end of the first round, then you’re getting no value, but if you get him at the end of the second round (he’s projected to be ranked 26th in standard 9 category leagues), then you’re getting good value.

After you’ve drafted a few players how do you know which categories to punt?

As a collective, you look at the strengths and weaknesses of the players you’ve drafted, and if you’re using a draft tracker, you compare it to the strengths and weaknesses of the players available in the draft pool.

If you’re not using a draft tracker then you can still do it by keeping tabs of available players by adding them to your draft queue and monitoring if/when they go off the draft board.

The idea is to punt the most obvious weakness on your roster.

Examples of potential punts:
Giannis, LeBron, Bam - punt FT% and TO.
Jokic, Kyrie, Middleton - punt BLK
Luka, Westbrook, Covington - could potentially try the punt FG%, FT%, TO

Practice, we’re talking about practice

Depending on the size of your league there’s anywhere between 150-200 draftable players. Getting familiar with which players are best suited towards specific punts help you remember them in case you need to pivot to a specific strategy mid-draft.

Use the following as a guide to see how the top 50 ranked players differ when unticking/punting different combinations of categories eg. untick/punt FG%, FT%, and TO - notice which players increase and decrease the most? Reset it, and then try unticking FG% + REB etc.

Projections last updated: 20 January 2021 by Joseph Mamone ( @josephmamone)
On a mobile device? Scroll the filtered options and rankings from left-to-right to view all of the data.
TOTAL: Adjusted total based on selected categories and impact multipliers | | COLOR GUIDE: Elite Very Good Good Average Below Average Not good | ICONS: Currently injured Player notes (hover over icon)
R#PLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
1
Nikola Jokic PF,CDEN7033.3 0.553 (9.52/17.23)
0.819 (3.54/4.32)
1.24
23.82
10.60
9.63
1.43
0.73
3.42
13.87
2
James Harden PG,SGBRO6435.3 0.451 (7.96/17.65)
0.874 (7.73/8.84)
3.64
27.29
5.82
7.96
1.53
0.78
4.06
13.26
3
Karl-Anthony Towns CMIN4430.0 0.515 (7.98/15.51)
0.830 (4.94/5.95)
2.59
23.49
11.74
3.73
0.97
1.83
3.00
12.86
4
Stephen Curry PG,SGGSW6533.1 0.466 (8.79/18.88)
0.921 (6.22/6.75)
4.40
28.20
5.42
6.41
1.18
0.47
3.78
12.79
5
Anthony Davis PF,CLAL6533.6 0.528 (8.93/16.92)
0.809 (6.08/7.52)
1.25
25.18
9.18
3.07
1.44
2.09
2.40
12.60
6
Kawhi Leonard SG,SFLAC6032.1 0.475 (9.33/19.65)
0.868 (6.12/7.05)
2.18
26.95
6.91
4.84
1.78
0.59
2.57
10.91
7
Damian Lillard PGPOR6535.9 0.435 (9.50/21.86)
0.897 (6.82/7.60)
4.20
30.02
4.17
7.47
1.12
0.26
2.96
10.67
8
Kevin Durant SF,PFBRO5933.6 0.491 (9.06/18.46)
0.871 (5.99/6.88)
2.44
26.56
6.52
4.48
1.08
0.97
3.81
10.27
9
Bradley Beal SG,SFWAS6035.0 0.471 (11.50/24.43)
0.838 (7.94/9.47)
2.84
33.77
4.93
5.00
1.21
0.54
3.22
10.06
10
Joel Embiid PF,CPHI6030.7 0.490 (8.00/16.34)
0.811 (7.18/8.85)
1.14
24.32
12.15
3.12
0.99
1.54
3.23
9.60
11
Paul George SF,PFLAC6333.2 0.447 (8.19/18.33)
0.875 (4.46/5.10)
3.97
24.81
6.36
4.91
1.57
0.44
2.89
9.42
12
Christian Wood PF,CHOU6833.4 0.528 (9.48/17.97)
0.752 (3.69/4.91)
1.74
24.39
10.27
1.43
0.63
1.72
1.98
8.26
R#PLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
13
Jayson Tatum SF,PFBOS7034.6 0.456 (9.60/21.07)
0.813 (3.91/4.81)
3.10
26.20
7.31
4.24
1.34
0.85
2.41
8.12
14
Luka Doncic PG,SGDAL6734.1 0.452 (9.06/20.04)
0.768 (7.21/9.39)
2.49
27.82
9.52
8.31
1.10
0.63
4.20
8.11
15
Zach LaVine SG,SFCHI6835.3 0.460 (9.20/19.98)
0.837 (4.98/5.95)
3.51
26.89
4.81
4.20
1.40
0.50
3.40
7.80
16
Kyrie Irving PGBRO5032.2 0.479 (7.20/15.02)
0.913 (3.16/3.46)
2.98
20.54
4.15
5.06
1.34
0.47
2.55
7.56
17
Bam Adebayo PF,CMIA6534.5 0.565 (6.94/12.29)
0.720 (3.99/5.54)
0.00
17.86
10.76
5.33
1.15
1.36
2.92
7.18
18
Jerami Grant SF,PFDET7035.8 0.472 (8.01/16.97)
0.844 (4.80/5.69)
2.51
23.33
5.92
2.28
0.81
1.31
1.11
7.17
19
Malcolm Brogdon PG,SGIND6233.8 0.467 (7.71/16.50)
0.901 (3.01/3.34)
2.36
20.79
3.59
7.05
1.60
0.20
2.38
7.17
20
Giannis Antetokounmpo PF,CMIL6930.8 0.537 (10.05/18.72)
0.664 (6.47/9.74)
1.46
28.03
12.84
5.52
0.98
0.98
3.65
6.94
21
Gordon Hayward SG,SFCHA5833.2 0.475 (8.71/18.34)
0.897 (3.41/3.80)
2.06
22.88
5.84
3.87
1.27
0.40
1.99
6.62
22
Kristaps Porzingis PF,CDAL5530.8 0.437 (7.03/16.07)
0.796 (3.99/5.01)
2.60
20.65
9.36
1.82
0.69
2.01
1.63
6.50
23
Chris Boucher PF,CTOR6422.7 0.555 (5.51/9.93)
0.790 (2.60/3.29)
1.50
15.12
7.15
0.69
0.69
2.19
0.86
6.44
24
Myles Turner PF,CIND7030.8 0.454 (4.43/9.76)
0.765 (2.05/2.68)
1.10
12.01
6.78
1.23
1.20
3.27
1.44
6.44
R#PLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
25
Michael Porter Jr. SF,PFDEN6029.4 0.507 (6.95/13.71)
0.872 (2.05/2.35)
2.73
18.69
7.65
1.73
0.89
0.85
1.37
6.39
26
CJ McCollum PG,SGPOR4233.7 0.458 (9.13/19.92)
0.847 (2.76/3.26)
3.61
24.63
3.93
4.58
1.12
0.44
1.87
6.25
27
Nikola Vucevic CORL6931.6 0.488 (7.85/16.10)
0.792 (2.06/2.60)
1.76
19.52
10.60
3.53
0.88
0.79
1.37
6.16
28
LeBron James PG,SG,SFLAL5932.1 0.492 (9.05/18.41)
0.691 (3.98/5.76)
2.32
24.39
7.97
8.01
1.02
0.49
3.68
6.09
29
Khris Middleton SF,PFMIL6731.1 0.473 (7.41/15.68)
0.904 (3.48/3.85)
2.50
20.78
6.45
4.47
1.09
0.10
2.29
6.09
30
Chris Paul PGPHX6128.5 0.485 (5.81/11.99)
0.874 (3.26/3.73)
1.65
16.52
4.61
6.41
1.45
0.18
2.21
5.58
31
Kyle Lowry PGTOR6033.9 0.412 (5.35/13.00)
0.848 (4.80/5.66)
2.64
18.13
4.59
7.21
1.43
0.38
2.92
5.57
32
Fred VanVleet PG,SGTOR6735.6 0.412 (6.11/14.82)
0.838 (3.21/3.83)
2.80
18.24
3.83
6.84
1.87
0.31
2.28
5.36
33
Jimmy Butler SF,PFMIA6433.4 0.433 (5.03/11.62)
0.836 (6.75/8.07)
0.71
17.51
5.86
5.93
1.60
0.53
2.17
5.28
34
Trae Young PGATL6833.1 0.408 (7.58/18.60)
0.865 (8.18/9.46)
2.04
25.38
3.50
9.04
0.70
0.10
4.03
5.00
35
DeMar DeRozan SG,SFSAS7033.6 0.486 (7.37/15.17)
0.845 (4.52/5.35)
0.91
20.17
5.42
6.25
0.99
0.30
2.36
4.96
36
Mikal Bridges SG,SFPHX6931.6 0.499 (5.20/10.43)
0.877 (2.13/2.43)
2.53
15.06
4.52
2.03
1.07
0.97
1.51
4.66
R#PLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
37
Deandre Ayton CPHX6732.5 0.560 (6.52/11.64)
0.698 (2.01/2.88)
0.21
15.27
10.85
1.99
0.58
1.56
2.05
4.45
38
Jamal Murray PG,SGDEN6833.8 0.456 (7.13/15.63)
0.882 (2.85/3.23)
2.37
19.47
4.29
5.06
1.15
0.29
2.57
4.39
39
Domantas Sabonis PF,CIND6434.2 0.542 (7.20/13.29)
0.730 (3.30/4.52)
0.48
18.18
11.78
4.41
0.66
0.47
2.64
4.35
40
Victor Oladipo SG,SFHOU6033.7 0.453 (8.02/17.69)
0.825 (3.06/3.71)
2.16
21.26
5.12
4.62
1.53
0.25
3.16
4.34
41
Tobias Harris SF,PFPHI7034.5 0.477 (7.75/16.25)
0.802 (2.43/3.03)
1.98
19.91
6.81
3.24
0.97
0.61
1.42
4.31
42
Jaylen Brown SG,SFBOS7034.4 0.477 (8.90/18.65)
0.742 (3.20/4.31)
2.40
23.40
5.62
2.99
1.32
0.54
2.41
4.30
43
D'Angelo Russell PG,SGMIN6731.3 0.429 (7.12/16.60)
0.824 (3.22/3.91)
3.41
20.87
3.61
6.05
1.16
0.29
2.93
4.19
44
John Collins PF,CATL6531.1 0.534 (6.43/12.05)
0.792 (2.05/2.59)
1.24
16.15
7.84
1.55
0.74
1.10
1.68
4.19
45
Brandon Ingram SF,PFNOP6433.4 0.464 (7.13/15.37)
0.805 (4.21/5.23)
2.64
21.11
4.94
3.47
0.99
0.65
2.97
4.17
46
Devin Booker SG,SFPHX7035.6 0.472 (7.90/16.75)
0.830 (5.21/6.28)
2.20
23.21
3.48
4.50
0.99
0.30
3.74
4.13
47
Jaren Jackson Jr. PF,CMEM5830.1 0.469 (6.75/14.39)
0.725 (2.53/3.49)
2.76
18.79
5.04
1.48
0.82
1.77
1.88
4.07
48
Ben Simmons PGPHI6535.2 0.526 (5.76/10.95)
0.634 (3.32/5.24)
0.02
14.86
8.79
8.07
1.91
0.61
3.53
4.06
R#PLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
49
Dejounte Murray PG,SGSAS6728.3 0.469 (5.97/12.72)
0.824 (1.55/1.88)
0.98
14.47
6.42
4.53
1.79
0.33
2.21
3.64
50
Pascal Siakam PF,CTOR6735.1 0.437 (6.56/15.01)
0.825 (3.87/4.69)
1.83
18.82
7.08
3.29
0.97
0.87
2.42
3.61
51
Derrick White PG,SGSAS5629.1 0.467 (4.68/10.02)
0.838 (3.21/3.83)
1.49
14.05
3.96
4.33
1.02
1.05
1.71
3.59
52
Clint Capela CATL5929.7 0.595 (5.93/9.97)
0.521 (1.35/2.59)
0.00
13.21
12.73
1.37
0.83
1.56
1.64
3.55
53
Jrue Holiday PG,SGMIL6331.4 0.461 (6.49/14.09)
0.749 (2.03/2.71)
1.81
16.82
4.34
5.09
1.49
0.74
2.85
3.50
54
Shai Gilgeous-Alexander SG,SFOKL6833.4 0.450 (7.02/15.60)
0.805 (4.12/5.12)
1.49
19.66
5.49
5.57
0.92
0.70
2.83
3.47
55
Collin Sexton PG,SGCLE7034.9 0.473 (8.51/18.01)
0.858 (3.81/4.44)
1.80
22.63
3.56
3.71
1.11
0.11
2.71
3.45
56
Donovan Mitchell PG,SGUTA7034.9 0.421 (8.64/20.53)
0.852 (4.19/4.92)
2.76
24.24
4.61
4.75
1.10
0.21
2.98
3.43
57
Jonas Valanciunas CMEM7027.2 0.564 (6.05/10.72)
0.747 (2.10/2.81)
0.53
14.72
10.36
2.00
0.42
1.02
1.90
3.43
58
Ja Morant PGMEM5832.1 0.474 (6.99/14.75)
0.784 (3.80/4.85)
1.26
19.04
4.00
7.70
1.06
0.32
3.48
3.37
59
Andre Drummond CCLE7027.2 0.535 (6.63/12.40)
0.567 (2.21/3.90)
0.11
15.57
12.68
1.83
1.47
1.40
3.35
3.30
60
Mitchell Robinson CNYK6829.2 0.650 (4.17/6.42)
0.568 (1.34/2.36)
0.00
9.68
8.86
0.57
1.09
1.95
0.68
3.25
R#PLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
61
Jusuf Nurkic CPOR3628.8 0.474 (5.25/11.08)
0.706 (2.40/3.40)
0.38
13.28
10.11
3.32
1.13
1.34
1.99
3.08
62
Rudy Gobert CUTA6732.8 0.607 (5.05/8.32)
0.552 (3.08/5.58)
0.00
13.17
13.70
1.52
0.71
2.51
1.93
3.08
63
T.J. Warren SF,PFIND6032.5 0.483 (7.24/15.00)
0.820 (2.51/3.06)
1.54
18.53
4.51
1.90
1.30
0.50
1.30
2.91
64
De'Aaron Fox PGSAC6533.6 0.461 (7.78/16.88)
0.719 (4.89/6.80)
1.16
21.61
4.10
6.41
1.51
0.75
3.26
2.89
65
Lonzo Ball PG,SGNOP6733.1 0.405 (4.45/11.00)
0.581 (0.72/1.24)
2.37
11.98
6.29
7.12
1.54
0.62
3.09
2.75
66
Julius Randle PF,CNYK6532.2 0.463 (7.31/15.79)
0.727 (4.37/6.01)
1.31
20.30
10.38
5.39
0.88
0.32
3.29
2.70
67
Darius Bazley SF,PFOKL6430.1 0.460 (5.41/11.75)
0.761 (1.43/1.88)
1.81
14.07
7.98
1.56
0.87
1.20
1.56
2.64
68
John Wall PGHOU5530.1 0.447 (7.81/17.49)
0.733 (2.94/4.01)
1.68
20.25
3.52
7.75
1.18
0.61
4.11
2.62
69
Al Horford PF,COKL6230.2 0.473 (4.98/10.53)
0.805 (0.99/1.23)
1.26
12.21
7.21
3.97
0.80
0.92
1.32
2.60
70
LaMarcus Aldridge PF,CSAS5827.9 0.478 (6.20/12.96)
0.834 (2.56/3.07)
1.19
16.14
6.32
2.05
0.46
1.23
1.39
2.51
71
Enes Kanter CPOR5526.0 0.569 (5.45/9.58)
0.704 (1.83/2.60)
0.01
12.74
10.51
1.63
0.66
1.09
1.81
2.49
72
Marcus Smart PG,SGBOS6732.1 0.379 (4.30/11.35)
0.837 (2.10/2.51)
2.31
13.01
3.80
5.06
1.60
0.75
1.90
2.49
R#PLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
73
Zion Williamson PFNOP6031.5 0.586 (9.97/17.00)
0.649 (5.44/8.38)
0.43
25.81
7.82
2.54
0.88
0.55
2.98
2.47
74
Richaun Holmes PF,CSAC6725.3 0.628 (4.55/7.24)
0.776 (1.87/2.41)
0.00
10.97
7.23
0.89
0.80
1.16
1.07
2.45
75
Eric Bledsoe PG,SGNOP6229.0 0.475 (5.65/11.89)
0.802 (2.88/3.59)
1.24
15.42
4.83
5.14
1.10
0.41
2.46
2.43
76
Lauri Markkanen PF,CCHI5032.5 0.435 (6.01/13.81)
0.835 (3.25/3.89)
2.41
17.68
7.21
1.61
0.91
0.54
1.85
2.42
77
Kevin Love PF,CCLE5429.5 0.454 (5.32/11.71)
0.864 (3.04/3.52)
2.35
16.03
7.86
2.70
0.51
0.31
2.25
2.33
78
OG Anunoby SF,PFTOR7032.8 0.441 (4.63/10.49)
0.704 (1.19/1.69)
1.54
11.99
6.06
1.81
1.97
0.79
1.52
2.22
79
Robert Williams CBOS5418.2 0.727 (2.82/3.88)
0.702 (1.06/1.51)
0.00
6.70
5.66
1.18
1.06
1.54
0.94
1.90
80
Draymond Green PF,CGSW6731.2 0.423 (3.26/7.71)
0.736 (1.48/2.01)
0.85
8.86
6.55
6.05
1.38
0.85
2.53
1.88
81
Kemba Walker PGBOS4829.2 0.424 (5.80/13.69)
0.863 (3.28/3.80)
2.80
17.68
3.37
3.72
0.79
0.37
1.96
1.82
82
Wendell Carter Jr. CCHI6732.6 0.508 (4.58/9.01)
0.742 (2.91/3.92)
0.20
12.26
9.85
1.32
0.88
1.20
1.78
1.78
83
Tyrese Haliburton PG,SGSAC6426.4 0.464 (4.49/9.68)
0.814 (1.36/1.67)
2.14
12.48
3.36
4.76
1.24
0.28
2.13
1.76
84
Jarrett Allen CCLE7024.4 0.615 (3.97/6.46)
0.725 (2.21/3.05)
0.01
10.16
8.68
1.17
0.46
1.45
1.01
1.72
R#PLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
85
Malik Beasley PG,SGMIN6429.8 0.457 (7.41/16.23)
0.846 (2.15/2.54)
2.48
19.45
3.74
1.97
1.00
0.20
1.30
1.59
86
Brook Lopez CMIL6823.7 0.434 (3.73/8.59)
0.863 (1.64/1.90)
1.46
10.56
3.84
1.30
0.61
1.98
0.86
1.57
87
Darius Garland PGCLE7031.6 0.448 (5.97/13.32)
0.879 (1.60/1.82)
2.33
15.86
2.11
6.08
0.99
0.11
2.93
1.56
88
Mike Conley PGUTA5833.8 0.427 (5.60/13.10)
0.823 (2.88/3.50)
2.33
16.40
3.73
5.13
1.09
0.12
2.33
1.50
89
Duncan Robinson SG,SFMIA7030.2 0.468 (4.47/9.56)
0.902 (0.92/1.02)
3.82
13.68
3.15
1.74
0.65
0.31
0.92
1.40
90
LaMelo Ball PG,SGCHA6528.4 0.411 (4.94/12.02)
0.727 (1.76/2.42)
1.63
13.27
6.42
6.14
1.54
0.21
2.76
1.37
91
Evan Fournier SG,SFORL6731.1 0.448 (6.04/13.49)
0.817 (2.67/3.27)
2.62
17.36
2.58
3.17
1.09
0.20
1.88
1.23
92
Robert Covington PF,CPOR6432.8 0.423 (3.38/8.00)
0.878 (0.72/0.82)
1.80
9.28
5.95
1.54
1.57
0.70
1.77
1.23
93
Josh Richardson SG,SFDAL6632.3 0.439 (5.30/12.06)
0.807 (2.26/2.80)
2.05
14.90
3.34
2.71
1.10
0.82
2.20
1.21
94
Buddy Hield SGSAC7032.6 0.445 (6.23/13.99)
0.840 (1.37/1.63)
3.43
17.26
3.94
2.57
0.78
0.17
1.97
1.21
95
Keldon Johnson SFSAS6027.8 0.477 (5.00/10.49)
0.803 (3.39/4.22)
1.53
14.92
5.47
1.46
1.30
0.16
1.30
1.21
96
De'Andre Hunter SF,PFATL6830.1 0.456 (5.78/12.68)
0.813 (1.91/2.35)
2.25
15.72
5.18
2.26
0.91
0.38
1.78
1.14
97
Terry Rozier PGCHA7027.8 0.439 (5.99/13.66)
0.844 (2.33/2.76)
2.75
17.06
3.68
2.98
0.96
0.17
2.07
1.13
98
Serge Ibaka PF,CLAC6228.2 0.509 (6.25/12.29)
0.694 (1.61/2.32)
1.31
15.41
8.26
1.41
0.50
0.81
2.01
1.11
99
Alec Burks SG,SFNYK6029.7 0.425 (5.55/13.05)
0.880 (2.79/3.17)
1.97
15.86
4.16
3.07
0.98
0.29
1.58
1.02
100
Russell Westbrook PGWAS5635.8 0.421 (8.12/19.30)
0.636 (4.08/6.42)
0.93
21.24
9.38
9.48
1.49
0.37
4.19
1.00

Fun Facts

Some of these aren't as fun as the others, or fun compared to a lot of things in general, but after being in some form of lockdown for 6 months you start to appreciate the enjoyment counting fantasy basketball stats bring us, so, I'm sticking by the heading.

There's only 21 elite to very good contributors to PTS, and they should all be off the board by round 3.

There's 14 elite contributors to AST, and 8 should be off the board after round 2.

There's 21 players projected to average 1.4+ BLK, and 13 have a negative impacts in FT%.

There's 38 players in the top 120 players who do not have a negative impact on both FG% and FT%.

There's 6 players projected to average 1+ in both SLT and BLK.

There's 3 players projected to average 1+ in 3PM, STL, and BLK.

Common single-punt strategies

Select a punt build for examples of players who might be available as targets in the first 5 rounds. Please note that you need to consider your team's structure when drafting, and these are just a few examples, so consider how your team is being put together rather than just targeting players on these lists.

Punting FG%

This build lends itself to high scoring guards like James Harden and Trae Young, along with 3-point shooting big men who can block shots like JJJ, Porzingis, and Brook Lopez. If you want to pull this build off you need to secure an elite rebounder to make up for the low rebounding numbers of stretch 5's, so don't feel like you have to avoid them because of their high FG%.

Players who should be available in round 1:

# PLAYER Y! POS FX POS Y! ADP FX ADP GP MPG FG% FT% 3PM PTS TREB AST STL BLK TO TOTAL
2 James Harden PG,SG PG,SG,SF 2.1 2.4 64 35.3 0.451 (7.96/17.65) 0.874 (7.73/8.84) 3.64 27.29 5.82 7.96 1.53 0.78 4.06 13.26
7 Damian Lillard PG PG 7.9 8.3 65 35.9 0.435 (9.50/21.86) 0.897 (6.82/7.60) 4.20 30.02 4.17 7.47 1.12 0.26 2.96 10.67
34 Trae Young PG PG 10.1 10.8 68 33.1 0.408 (7.58/18.60) 0.865 (8.18/9.46) 2.04 25.38 3.50 9.04 0.70 0.10 4.03 5.00

Players who should be available in round 2:

# PLAYER Y! POS FX POS Y! ADP FX ADP GP MPG FG% FT% 3PM PTS TREB AST STL BLK TO TOTAL
9 Bradley Beal SG,SF SG 17.6 21.8 60 35.0 0.471 (11.50/24.43) 0.838 (7.94/9.47) 2.84 33.77 4.93 5.00 1.21 0.54 3.22 10.06
11 Paul George SF,PF SF,PF 21.0 24.9 63 33.2 0.447 (8.19/18.33) 0.875 (4.46/5.10) 3.97 24.81 6.36 4.91 1.57 0.44 2.89 9.42
13 Jayson Tatum SF,PF SF,PF 11.8 12.4 70 34.6 0.456 (9.60/21.07) 0.813 (3.91/4.81) 3.10 26.20 7.31 4.24 1.34 0.85 2.41 8.12
15 Zach LaVine SG,SF PG,SG,SF 31.2 33.2 68 35.3 0.460 (9.20/19.98) 0.837 (4.98/5.95) 3.51 26.89 4.81 4.20 1.40 0.50 3.40 7.80

Players who should be available in round 3:

# PLAYER Y! POS FX POS Y! ADP FX ADP GP MPG FG% FT% 3PM PTS TREB AST STL BLK TO TOTAL
22 Kristaps Porzingis PF,C PF,C 59.7 79.1 55 30.8 0.437 (7.03/16.07) 0.796 (3.99/5.01) 2.60 20.65 9.36 1.82 0.69 2.01 1.63 6.50
31 Kyle Lowry PG PG 45.3 45.6 60 33.9 0.412 (5.35/13.00) 0.848 (4.80/5.66) 2.64 18.13 4.59 7.21 1.43 0.38 2.92 5.57
56 Donovan Mitchell PG,SG PG,SG 22.1 22.8 70 34.9 0.421 (8.64/20.53) 0.852 (4.19/4.92) 2.76 24.24 4.61 4.75 1.10 0.21 2.98 3.43
92 Robert Covington PF,C SF,PF,C 65.2 57.9 64 32.8 0.423 (3.38/8.00) 0.878 (0.72/0.82) 1.80 9.28 5.95 1.54 1.57 0.70 1.77 1.23

Players who should be available in round 4:

# PLAYER Y! POS FX POS Y! ADP FX ADP GP MPG FG% FT% 3PM PTS TREB AST STL BLK TO TOTAL
32 Fred VanVleet PG,SG PG,SG 38.7 47.7 67 35.6 0.412 (6.11/14.82) 0.838 (3.21/3.83) 2.80 18.24 3.83 6.84 1.87 0.31 2.28 5.36

Players who should be available in round 5:

# PLAYER Y! POS FX POS Y! ADP FX ADP GP MPG FG% FT% 3PM PTS TREB AST STL BLK TO TOTAL
19 Malcolm Brogdon PG,SG PG,SG 59.2 67.4 62 33.8 0.467 (7.71/16.50) 0.901 (3.01/3.34) 2.36 20.79 3.59 7.05 1.60 0.20 2.38 7.17
65 Lonzo Ball PG,SG PG 64.9 66.7 67 33.1 0.405 (4.45/11.00) 0.581 (0.72/1.24) 2.37 11.98 6.29 7.12 1.54 0.62 3.09 2.75
72 Marcus Smart PG,SG PG,SG 80.0 74.9 67 32.1 0.379 (4.30/11.35) 0.837 (2.10/2.51) 2.31 13.01 3.80 5.06 1.60 0.75 1.90 2.49
76 Lauri Markkanen PF,C PF 72.3 78.9 50 32.5 0.435 (6.01/13.81) 0.835 (3.25/3.89) 2.41 17.68 7.21 1.61 0.91 0.54 1.85 2.42
86 Brook Lopez C C 87.5 89.0 68 23.7 0.434 (3.73/8.59) 0.863 (1.64/1.90) 1.46 10.56 3.84 1.30 0.61 1.98 0.86 1.57
94 Buddy Hield SG SG 57.4 63.4 70 32.6 0.445 (6.23/13.99) 0.840 (1.37/1.63) 3.43 17.26 3.94 2.57 0.78 0.17 1.97 1.21