The All Star Visual Guide

🔖 Arturo Galletti on Feb 14th, 2014

All Data for the post is through 2/12/2014

We're back with more visuals! You might note that we made some upgrades. The sizes of the logos are smaller, and we converted the offense and defense ratings to point margin. As always, we can't do this without your awesome feedback, so please it coming.

Season Ratings

The Season Ratings graph shows the value of each team's offense and defense to their overall adjusted point margin per game. It's expressed in points per game with offense on the side and defense on the bottom. Greater than zero numbers mean better than the league average offensive/defensive unit. The higher the better the offense, the more to the right the better the defense.

Adjusted Win% vs Actual Win%

The Adjusted Win% versus Actual Win% graph intends to show how much the schedule affects the actual win total of each team. A team on the center black line represents a team whose record actually reflects the strength of that team. Teams above that line are stronger than their current record. Teams below that line are weaker than their record. 

 

Pace

The Pace graph shows the typical number of offensive possesions in a game for each team. Faster Pace (to the right) means more points and larger point margins per game. Slower pace (to the left) means fewer points and smaller margins.

 

Strength of Schedule

The Strength of Schedule graph shows the value of the schedule and opposition to a teams actual point margin per game. Teams with a negative point margin (the left) have played a tougher schedule. Teams with a positive point margin (the right) have played an easier schedule.

 

But wait there's more!

Remember how we did previews for every team and every player at the Start of the season? What if we did an interactive graph for every player on every roster for the year to date like so:

Then, what if we took those actuals and compared them to the projections and looked for the difference makers for each team? That looks like so (size is set by the difference between the projection and the actual) :
 
 
Let's have one final table shall we? This one is a request. I looked at every single game and calculated the expected point margin for an average team and compared it to the actual point margin for the team in question. If the team outplayed the expectation, they got a moral victory and if they underperformed that expectationm they get a moral loss. If we tabulate it it looks like so:
The Moral Victory Index
Team Wins Losses Moral Wins Moral Losses Moral +/-
Minnesota Timberwolves 25 28 31 22 6
Dallas Mavericks 32 22 36 18 4
Golden State Warriors 31 22 35 18 4
Sacramento Kings 18 35 22 31 4
Toronto Raptors 28 24 31 21 3
Brooklyn Nets 24 26 26 24 2
Los Angeles Clippers 37 18 39 16 2
Charlotte Bobcats 23 30 24 29 1
Detroit Pistons 22 30 23 29 1
Oklahoma City Thunder 42 12 43 11 1
San Antonio Spurs 38 15 39 14 1
New York Knicks 20 32 20 32 0
Orlando Magic 16 38 16 38 0
Phoenix Suns 30 21 30 21 0
Atlanta Hawks 25 26 24 27 -1
Los Angeles Lakers 18 34 17 35 -1
Washington Wizards 25 27 24 28 -1
Boston Celtics 19 35 17 37 -2
Cleveland Cavaliers 20 33 18 35 -2
Indiana Pacers 40 12 38 14 -2
Miami Heat 37 14 35 16 -2
New Orleans Pelicans 23 29 21 31 -2
Portland Trail Blazers 36 17 34 19 -2
Chicago Bulls 26 25 23 28 -3
Memphis Grizzlies 29 23 26 26 -3
Milwaukee Bucks 9 43 6 46 -3
Utah Jazz 19 33 16 36 -3
Denver Nuggets 24 27 20 31 -4
Houston Rockets 36 17 32 21 -4
Philadelphia 76ers 15 39 11 43 -4
           

Of course the Timberwolves lead this. Of course.

As before, consider this a continuing proof of concept of some of the tools that I'm building. Thoughtful discussion and criticism is welcomed, but please send all flames to /dev/null.

Happy Valentine's day and All Star Weekend!

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