I was struggling to come up with a title to this week’s post.  I thought the other four roster positions articles had decent and easy to understand title.  My initial thought went something like Big Men + Stretchies.  Being that this site already coined “EmBIIIIIIIIIIIID”, I don’t want to further go down that Phallic symbol route.

We’ll end this Numbers Game-by-position series by looking at the PF position.  The game has evolved to the point that most teams now employ some sort of stretch four which is typically a PF (or a SF that plays the PF position on small ball lineups) that can consistently knock down the outside shot.  Some teams still employ the 2 Bigs lineup–think MEM, UTA, TOR sometimes (with JV and Bebe) and SAS, albeit both their bigs aren’t really the traditional big men that likes to operate down low in the post.

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Happy 2017 to everyone!  Hopefully, you all had a good holiday break and enjoyed a great slate of games.  As for this segment, it’s a new year but it’s somewhat of the same old.  We continue where we left off.  In the last installment, we took a look at the best teams to target for marksmen shooting guards.  Let’s hop on over to a very similar and often tagged with the same position eligibility–the SF or the wingmen.  Small forwards tend to be the defender against the opposing teams best back court player during key parts of a game.  Think Kawhi Leonard and Lebron James.  For most of us, the term wingman has a very different meaning but whether it’s used for social events or basketball, they tend to have the backs of their teammate(s).

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Floor General?! And no, this article isn’t about the sales of Steph Curry ‘s “Floor General” shoe.

I’m not even sure this is what they even call point guards nowadays, with the game moving more away from traditional point guards and onto combo guards and point forwards.

After focusing on best teams to face for big men stats, let’s take a look at the best teams to face when looking for categories that suit point guards.

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Hope everyone’s week is going well.  No grid this week and instead I want to focus on the opposing bench players.

p159750_p_v8_aa

Let’s face it, in a standard league, most of the available players in the FA pool are unlikely to be starters.  For fantasy purposes, that doesn’t mean they can’t contribute to categories that your team need to defend or categories that your team can unexpectedly win.

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First off, Happy Thanksgiving Day to everyone!  Here’s a little Thanksgiving edition of The Numbers Game.  I promise to keep it short so as to not interfere with the eating and the shopping.

I’ll do a reverse this week and start off with the Victor Oladipo analysis and do the matchup by the numbers later on.

Last week, I covered the defensive aspect of Dipo’s season stats.  Let’s look at the offensive side so far this season–15 games in (as of writing, he will be playing his 16th game).

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Here’s the matchup grid updated prior to the 1030 ET time games last night.

matchupswk3v2

I don’t want to go in depth on this today as I’d like to spend some time talking about a specific player below.  The next in-depth discussion will be in a couple of weeks when we have a nice full month of data.  Just wanted to point out that GSW remains near the top of teams to target, albeit they seem to have tightened it up a bit on the rebounding category compared to last week.

Some names to target for the rest of the week:

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Using a little reference there, with regards to the latest election results.  It’s a perfect example of how to never just take the statistics in front us as the end all and be all ESPECIALLY when there are non numerical factors in play.

However, that’s done with, and time to focus more important things in life…the 3 Fs–Family, Friends and Fantasy Basketball.

Here’s this week’s grid. (If you need a reference as to what this grid shows, you can always take a look at my attempt to simplify it.

For easier reference I’ve posted last week’s grid as well just to show how the match-up stats have changed as expected due to the low sample size and how one additional game can cause a big change.  Current week on the left, last week on the right.

matchupswk2               matchupsv2

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Hello Razzballers!  Welcome to the inaugural edition of the “The Numbers Game”.  I know, plain vanilla title but hopefully there will be some interesting golden nuggets of actionable information each week for everyone.  And I promise to not make it sound as boring as Statistics class.

This weekly segment will dig a little deeper into some league, team and players stats WITHOUT (hopefully) having to use the words Standard Deviation, Z-Scores, and all those weird stat symbols.  Who needs those when we can all exchange friendly banter in the comments section, criticize coaches and go through the roller coaster ride we submit ourselves each NBA season in the comments section.

The season is young and therefore take all of these stats with a grain of salt.  Nothing like the lack of sample size to skew numbers as outliers can easily move the numbers.  There is also the subjective aspect of it–whether it be a coaching change (did I hear someone say Asshat?) or a major lineup change or even just a relatively higher number of back to back games so far.

So without further ado, let’s get down to the it. This is a grid provided by BBM to its readers.  You might want to open it up in another tab as you might want to look back at it while reading further below.

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