An Introduction to Punting in Fantasy Basketball

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 categories 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 usually draft them. Eg. Last season in standard 9 category leagues, Giannis Antetokounmpo finished 68th overall in per-game value, but if you punt/ignore the FT% category he became the 6th best player in the league. This is why you see Giannis drafted anywhere between pick 3 and 10 in 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.

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.

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 players missing games, 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 more valuable. If you draft Rudy Gobert (who’s projected to be ranked 28th in a punt FT% build) at the end of the second round, then you’re getting no value, but if you get him in the fifth round (his ADP is anywhere between 60-80 depending on the platform), 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:

Punt FG%: LaMelo Ball, James Harden, Fred VanVleet, Cade Cunningham, Trae Young

Punt FT%: Giannis Antetokounmpo, Rudy Gobert, Zion Williamson, Domantas Sabonis

Punt PTS: Myles Turner, Walker Kessler, Nicolas Claxton

Punt REB: Damian Lillard, Jalen Brunson

Punt AST: Jaren Jackson Jr, Lauri Markkanen, Anthony Davis

Punt STL: Myles Turner, Walker Kessler

Punt BLK: Darius Garland, Stephen Curry

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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.

SHOW MIN GP Z SCORE POSITION POS & ADP FROM NBA TEAM DATA AND RANKINGS FROM BASED ON TYPE
R#ADPPLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
1 5.4 Shai Gilgeous-Alexander PG,SGOKC6735.5 0.519 (10.4/20.0) 0.913 (9.0/9.9) 1.0 30.8 5.9 6.2 2.2 0.9 2.2 15.51
2 1.2 Nikola Jokic CDEN7234.6 0.606 (10.9/18.0) 0.794 (5.4/6.8) 1.5 28.7 13.2 8.7 1.3 0.8 4.0 14.62
3 6.9 Tyrese Haliburton PG,SGIND7334.7 0.503 (9.9/19.6) 0.872 (4.6/5.2) 4.4 28.7 3.8 11.5 1.4 0.6 2.5 13.87
4 3.5 Joel Embiid CPHI6734.2 0.513 (10.8/21.0) 0.842 (10.0/11.9) 1.0 32.5 11.2 6.2 1.1 1.6 3.3 13.63
5 11.2 Kevin Durant SF,PFPHO6035.2 0.522 (9.7/18.6) 0.893 (6.6/7.4) 2.5 28.5 7.2 5.6 0.8 1.1 3.4 11.52
6 12.8 Anthony Davis PF,CLAL6033.5 0.550 (9.3/17.0) 0.805 (4.8/6.0) 0.3 23.8 11.8 3.0 1.1 2.5 2.1 11.10
7 2.7 Luka Doncic PGDAL6435.8 0.492 (10.8/22.0) 0.777 (7.4/9.5) 3.2 32.1 9.2 8.5 1.2 0.5 3.8 9.71
8 6.7 Stephen Curry PG,SGGS6534.6 0.476 (9.4/19.8) 0.929 (5.5/5.9) 5.0 29.3 4.6 4.6 0.9 0.3 3.3 9.64
9 17.5 Trae Young PGATL7536.2 0.438 (8.5/19.4) 0.848 (7.5/8.8) 3.8 28.3 3.5 10.4 1.5 0.1 3.7 8.93
10 11.3 Damian Lillard PGMIL6734.6 0.450 (7.9/17.5) 0.915 (7.5/8.2) 3.0 26.3 4.7 7.4 1.0 0.2 2.9 8.83
11 11.8 LaMelo Ball PG,SGCHA5934.9 0.438 (8.8/20.0) 0.851 (4.1/4.8) 3.6 25.1 6.3 9.0 1.6 0.4 4.0 8.21
12 24.2 Karl-Anthony Towns PF,CMIN7033.9 0.515 (8.0/15.5) 0.850 (4.6/5.4) 2.2 22.8 9.1 4.7 1.1 0.7 2.9 8.15
R#ADPPLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
13 15.9 Devin Booker PG,SG,SFPHO6835.1 0.487 (9.8/20.1) 0.861 (5.3/6.1) 2.3 27.2 4.9 8.3 1.1 0.4 2.6 8.07
14 57.1 Tyrese Maxey PG,SGPHI7034.2 0.468 (9.3/19.8) 0.884 (4.4/5.0) 3.5 26.5 5.0 6.4 0.8 0.6 1.5 7.86
15 5.3 Jayson Tatum SF,PFBOS7536.5 0.488 (9.1/18.7) 0.820 (6.5/7.9) 3.0 27.7 8.2 4.2 1.1 0.7 3.0 7.85
16 14.1 Kyrie Irving PG,SGDAL6236.4 0.476 (8.6/18.0) 0.909 (4.0/4.4) 2.5 23.6 4.7 6.4 1.2 0.7 2.2 7.59
17 32.1 Bam Adebayo CMIA7234.1 0.536 (8.8/16.5) 0.822 (4.9/5.9) 0.0 22.6 10.3 3.7 1.5 0.9 2.8 7.43
18 25.0 Jimmy Butler SF,PFMIA6533.3 0.505 (7.4/14.6) 0.875 (7.9/9.0) 0.8 23.5 5.7 5.0 1.3 0.4 1.8 7.37
19 31.4 Paul George SG,SF,PFLAC6034.6 0.458 (9.4/20.6) 0.866 (4.4/5.1) 3.3 26.6 6.3 4.2 1.6 0.4 3.5 6.99
20 14.8 Anthony Edwards SG,SFMIN7635.8 0.464 (9.2/19.9) 0.823 (5.4/6.6) 3.0 26.9 5.7 5.0 1.6 0.5 3.2 6.96
21 50.5 Scottie Barnes SG,SF,PFTOR7635.5 0.471 (7.0/14.9) 0.761 (2.7/3.6) 1.8 18.6 8.9 5.8 1.7 1.0 2.1 6.58
22 26.8 Kawhi Leonard SG,SF,PFLAC5633.4 0.504 (8.4/16.7) 0.863 (4.4/5.1) 1.9 23.2 6.2 3.7 1.3 0.5 1.7 6.54
23 6.4 Giannis Antetokounmpo PF,CMIL6532.0 0.565 (9.7/17.1) 0.683 (8.0/11.8) 0.9 28.3 11.6 5.7 1.1 1.0 3.4 6.50
24 25.3 Victor Wembanyama PF,CSA6530.0 0.452 (7.2/16.0) 0.783 (3.6/4.6) 1.1 19.2 9.0 2.6 1.1 2.6 1.8 6.13
R#ADPPLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
25 47.8 Chet Holmgren PF,COKC6429.7 0.540 (6.2/11.5) 0.777 (3.1/4.0) 1.5 17.0 8.2 2.0 0.8 2.0 1.2 5.96
26 26.6 Lauri Markkanen SF,PFUTA6633.4 0.489 (8.0/16.4) 0.870 (5.0/5.7) 2.9 23.9 8.0 1.9 0.7 0.6 1.9 5.92
27 37.8 De'Aaron Fox PGSAC7033.5 0.475 (10.4/22.0) 0.773 (5.2/6.7) 3.0 29.1 4.3 6.1 1.4 0.4 2.0 5.87
28 18.1 Donovan Mitchell PG,SGCLE6934.6 0.454 (9.1/20.0) 0.860 (4.2/4.9) 3.0 25.3 4.1 4.8 1.6 0.3 2.5 5.74
29 24.5 Desmond Bane SG,SFMEM7033.1 0.457 (9.0/19.8) 0.856 (2.7/3.1) 3.2 23.9 5.0 5.0 1.3 0.4 2.1 5.28
30 69.7 Brook Lopez CMIL7229.7 0.498 (5.0/10.0) 0.813 (1.8/2.3) 2.0 13.8 5.8 1.4 0.4 2.9 1.2 5.19
31 31.3 James Harden PG,SGLAC5833.2 0.424 (4.9/11.6) 0.863 (4.9/5.7) 2.0 16.8 4.7 8.7 1.1 0.7 3.2 5.19
32 19.5 Mikal Bridges SG,SFBKN8034.1 0.475 (8.7/18.4) 0.881 (4.5/5.1) 2.3 24.3 4.4 3.3 1.1 0.6 1.7 5.17
33 15.0 Domantas Sabonis PF,CSAC7234.6 0.576 (7.0/12.2) 0.697 (4.0/5.8) 0.5 18.6 11.4 7.0 0.9 0.9 3.0 4.99
34 60.5 Alperen Sengün CHOU7432.1 0.527 (8.8/16.7) 0.726 (3.4/4.7) 1.0 22.0 9.6 5.2 0.9 1.0 3.2 4.94
35 37.5 Myles Turner CIND6429.5 0.534 (5.9/11.0) 0.774 (2.9/3.7) 1.3 15.9 7.4 1.3 0.6 2.3 1.5 4.82
36 40.3 Darius Garland PGCLE6935.6 0.462 (7.8/17.0) 0.877 (3.6/4.1) 2.5 21.8 3.0 7.8 1.2 0.1 3.0 4.82
R#ADPPLAYERPOSTEAMGPMPGFG%FT%3PMPTSTREBASTSTLBLKTOTOTAL
37 43.1 Kristaps Porzingis PF,CBOS5529.1 0.510 (6.3/12.4) 0.821 (4.0/4.9) 1.5 18.1 7.1 1.9 0.7 1.6 1.6 4.68
38 79.5 Terry Rozier PG,SGCHA6835.2 0.457 (8.4/18.4) 0.814 (2.9/3.5) 2.8 22.5 4.3 6.9 1.2 0.3 1.7 4.48
39 24.8 LeBron James SF,PFLAL5632.0 0.502 (9.5/19.0) 0.761 (3.9/5.2) 2.2 25.1 7.1 5.6 0.8 0.5 2.9 4.40
40 37.5 Jalen Brunson PGNY7234.9 0.492 (9.0/18.3) 0.832 (4.2/5.0) 2.0 24.2 3.7 6.5 1.0 0.2 2.2 4.23
41 106.6 Miles Bridges SF,PFCHA6033.2 0.484 (7.7/15.8) 0.798 (3.5/4.4) 2.0 20.8 7.4 3.1 1.2 0.6 2.0 4.03
42 29.0 Fred VanVleet PGHOU6736.2 0.400 (5.4/13.5) 0.900 (2.8/3.1) 2.8 16.4 3.9 9.5 0.8 0.5 1.5 3.96
43 68.9 Tyler Herro PG,SGMIA6736.0 0.452 (8.7/19.3) 0.895 (3.0/3.3) 3.2 23.6 5.7 4.5 0.8 0.2 2.8 3.75
44 49.4 Deandre Ayton CPOR6931.6 0.546 (6.6/12.0) 0.796 (2.2/2.8) 0.1 15.5 11.1 1.7 1.0 1.0 1.8 3.74
45 41.2 Jamal Murray PG,SGDEN6033.3 0.466 (7.8/16.6) 0.833 (2.8/3.4) 2.7 21.1 4.1 6.3 1.0 0.3 2.3 3.71
46 41.7 Evan Mobley PF,CCLE7634.6 0.527 (6.5/12.4) 0.682 (2.7/4.0) 0.3 16.0 10.7 2.9 0.9 1.8 1.9 3.62
47 74.7 Jerami Grant PFPOR6532.0 0.466 (7.4/15.9) 0.817 (4.3/5.3) 2.8 22.0 4.0 2.5 1.0 0.9 1.9 3.41
48 64.7 Rudy Gobert CMIN6833.6 0.630 (5.2/8.3) 0.575 (3.3/5.8) 0.0 13.8 11.4 1.1 0.8 2.5 1.8 3.41
49 51.8 Walker Kessler CUTA6426.0 0.622 (4.6/7.4) 0.576 (1.2/2.0) 0.0 10.4 8.8 1.0 0.4 3.0 1.0 3.38
50 65.7 Jalen Williams SG,SF,PFOKC7432.9 0.510 (6.6/13.0) 0.858 (3.3/3.9) 1.3 17.9 4.9 4.2 0.9 0.5 1.5 3.32

Common single-punt strategies

Select a punt build for examples of players who might be available as targets in the first 6 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.

This should also help highlight that unless you're taking Giannis Antetokounmpo in the first round (I'd suggest taking him as early as pick 5 if you have an early pick) then you generally want to avoid committing to a punt build after the first round, and instead wait to see how your draft progresses after the second round before starting to think about it.

Select a punt and platform, and we'll compare their ADP data to the player's punt rank to see whose value increases and is likely to be available to draft at good value.

SELECT PUNT SELECT PLATFORM

Punting FG%

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

Definitions
# #PUNT ADP
# #PUNT ADP PLAYER POS GP MPG FG% FT% 3PM PTS TREB AST STL BLK TO TOTAL
9 4 17.5 Trae Young PG 75 36.2 0.438 (8.5/19.4) 0.848 (7.5/8.8) 3.8 28.3 3.5 10.4 1.5 0.1 3.7 8.93
14 12 57.1 Tyrese Maxey PG,SG 70 34.2 0.468 (9.3/19.8) 0.884 (4.4/5.0) 3.5 26.5 5.0 6.4 0.8 0.6 1.5 7.86
21 20 50.5 Scottie Barnes SG,SF,PF 76 35.5 0.471 (7.0/14.9) 0.761 (2.7/3.6) 1.8 18.6 8.9 5.8 1.7 1.0 2.1 6.58
27 26 37.8 De'Aaron Fox PG 70 33.5 0.475 (10.4/22.0) 0.773 (5.2/6.7) 3.0 29.1 4.3 6.1 1.4 0.4 2.0 5.87
36 29 40.3 Darius Garland PG 69 35.6 0.462 (7.8/17.0) 0.877 (3.6/4.1) 2.5 21.8 3.0 7.8 1.2 0.1 3.0 4.82
38 31 79.5 Terry Rozier PG,SG 68 35.2 0.457 (8.4/18.4) 0.814 (2.9/3.5) 2.8 22.5 4.3 6.9 1.2 0.3 1.7 4.48
30 35 69.7 Brook Lopez C 72 29.7 0.498 (5.0/10.0) 0.813 (1.8/2.3) 2.0 13.8 5.8 1.4 0.4 2.9 1.2 5.19
43 36 68.9 Tyler Herro PG,SG 67 36.0 0.452 (8.7/19.3) 0.895 (3.0/3.3) 3.2 23.6 5.7 4.5 0.8 0.2 2.8 3.75
47 43 74.7 Jerami Grant PF 65 32.0 0.466 (7.4/15.9) 0.817 (4.3/5.3) 2.8 22.0 4.0 2.5 1.0 0.9 1.9 3.41
62 47 119.2 De'Anthony Melton PG,SG 72 30.9 0.449 (5.0/11.0) 0.779 (1.3/1.6) 2.4 13.5 4.8 4.4 1.5 0.6 1.7 2.67
85 53 106.1 Spencer Dinwiddie PG,SG 73 33.5 0.430 (5.7/13.2) 0.841 (3.6/4.3) 2.3 17.3 4.1 6.2 0.8 0.3 1.9 1.72
67 60 70.3 Cameron Johnson SF,PF 65 30.0 0.464 (5.2/11.2) 0.848 (2.1/2.4) 2.8 15.2 4.7 2.8 1.2 0.3 0.9 2.47
73 61 135.2 Dennis Schröder PG 70 33.0 0.459 (5.5/12.0) 0.855 (3.4/3.9) 1.8 16.2 3.4 7.3 0.9 0.2 2.3 2.24
86 62 80.7 Tyus Jones PG 72 30.0 0.443 (5.2/11.7) 0.805 (1.2/1.5) 1.9 13.5 3.5 7.4 1.4 0.1 1.1 1.70
91 63 99.8 D'Angelo Russell PG,SG 70 30.2 0.440 (5.9/13.3) 0.826 (2.6/3.2) 2.6 16.9 3.0 6.2 0.9 0.4 2.4 1.46
88 66 138.9 Coby White PG,SG 72 33.2 0.450 (5.8/12.9) 0.871 (1.4/1.6) 3.4 16.4 3.8 4.5 0.8 0.2 1.4 1.63
82 68 132.5 Ausar Thompson SG,SF 72 28.1 0.454 (4.2/9.3) 0.776 (2.4/3.0) 0.5 11.3 7.8 3.7 1.0 1.5 1.8 1.88
74 71 134.9 Herbert Jones SF,PF 69 32.0 0.473 (4.3/9.1) 0.804 (2.2/2.8) 1.0 11.8 4.8 2.8 1.7 1.0 1.6 2.24
104 77 142.0 Max Strus SG,SF 73 34.0 0.438 (5.3/12.0) 0.849 (1.0/1.2) 2.9 14.4 4.9 3.3 0.9 0.4 1.1 0.99
75 83 119.8 Bruce Brown PG,SG,SF 70 32.8 0.502 (5.4/10.8) 0.801 (2.3/2.9) 1.2 14.3 4.8 3.4 1.4 0.6 1.5 2.16
90 89 147.1 Deni Avdija SF,PF 78 28.9 0.480 (5.5/11.4) 0.802 (1.7/2.1) 1.3 13.9 6.1 3.4 1.2 0.6 1.6 1.60
118 91 127.6 Mike Conley PG 68 29.4 0.432 (4.2/9.7) 0.813 (1.9/2.3) 2.1 12.4 2.8 6.0 1.1 0.2 1.6 0.39
114 92 137.8 Immanuel Quickley PG,SG 76 28.6 0.448 (5.2/11.6) 0.847 (2.7/3.1) 2.1 15.2 4.1 3.9 1.0 0.1 1.4 0.61
132 95 128.1 P.J. Washington PF 72 29.2 0.424 (5.0/11.8) 0.727 (1.3/1.8) 2.0 13.4 5.1 2.3 0.9 1.2 1.5 -0.09
117 103 142.2 Santi Aldama PF,C 75 27.1 0.458 (4.6/10.1) 0.726 (2.0/2.7) 2.2 13.3 7.0 1.8 0.8 0.9 1.2 0.44
115 106 145.2 De'Andre Hunter SF,PF 68 31.4 0.468 (5.9/12.6) 0.849 (2.8/3.3) 2.0 16.5 4.3 1.5 1.0 0.4 1.5 0.47
126 110 141.7 Jeremy Sochan PG,PF 69 33.8 0.456 (5.2/11.3) 0.766 (1.9/2.5) 0.8 13.0 6.1 4.9 1.1 0.6 2.6 0.13
129 113 139.6 Kentavious Caldwell-Pope SG,SF 76 31.1 0.450 (4.4/9.7) 0.839 (1.6/1.9) 1.8 12.1 3.1 2.2 1.4 0.4 1.2 0.01
154 118 132.1 Brandon Miller SF 72 30.0 0.433 (5.4/12.6) 0.836 (1.9/2.3) 2.2 15.0 4.8 2.0 0.8 0.3 1.4 -0.83
147 121 151.4 Josh Richardson SG 65 27.5 0.435 (4.2/9.7) 0.869 (1.5/1.7) 1.9 11.7 3.2 2.6 1.1 0.4 1.4 -0.64
156 123 143.6 Luguentz Dort SG,SF 72 27.0 0.424 (4.0/9.5) 0.782 (2.0/2.6) 1.6 11.7 4.3 1.9 1.2 0.7 1.4 -0.89
167 124 143.5 Keyonte George PG,SG 72 26.0 0.418 (4.9/11.6) 0.809 (1.8/2.2) 1.5 13.0 3.4 7.1 0.8 0.2 2.7 -1.29
163 134 145.5 Malik Monk SG,SF 76 24.0 0.437 (4.8/10.9) 0.856 (1.6/1.9) 2.0 13.2 2.7 4.5 0.6 0.3 1.5 -1.16