What is net rating nba

A NBA teams net rating is more predictive of future in season success than a teams record. If your favorite team has a great start to the season, checking the teams net rating is a good way to see if it’s real or fake. But what is net rating?

Net Rating is a combination of a teams offensive rating vs their defensive rating.

Offensive Rating

Simply put, offensive rating is how many points does the team score every 100 possessions. Someone could also call this offensive efficiency or offensive production.

Per game or per possession. That is the key battle here. I need you to be aware of the flaws of per game stats as basketball teams play at different tempos or pace of play. Teams that play a faster tempo, run in transition, will play more possessions per game. More possessions per game = more shots per game = more points per game. Inversely, a team that slows the game down, plays more half court offense will have less possessions and by default less point per game.

To summarize, DO NOT use team points per game to indicate which NBA team has the best offense.

Let’s look at an example.

Points per game can be misleading

In 1991, if someone asked a fan which team has the better offense, Lakers or Nuggets? The fan would look at scoring per game, a stat that favors the Nuggets 120–106 and say the Nuggets are easily the better offense. They score 14 more points per game than the Lakers! Come on, no contest.

That fan was incorrect.

The Nuggets played at a much faster pace with 114 possessions per game, twenty more than the lakers. Let’s throw per game stats out the window. It’s the final play of game seven, one possession left, which team would you want for your offense? The Lakers scored 1.12 points per possession, while the Nuggets scored 1.05 points per possession. The Lakers may play at a slower place than the Nuggets, but the Lakers offense is superior. The Lakers score less points per game, but more points per possession as they play at a slower pace and their games have less possessions and fewer chances to score.

The Dallas Mavericks were the best offensive team in the 2019–20 NBA Season

Points scored per 100 possessions

With offensive rating we can see that the Mavs, Clippers, and Blazers had the best regular season offense, while the Bulls, Knicks, and Warriors had the worst regular season offense. (Never thought I would have to say the Warriors were the worst offense during a season in the Steph, Klay, Draymond era, but obviously they barely played any minutes this season.)

Defensive Rating

This is the same setup as above. The main difference is we are looking at how a team defends. The offensive rating of a teams opponents during play is considered defensive rating. How many points does this team get up per 100 possessions.

Again, we know per game stats don’t tell the whole story. This is why when looking at defense, do not use opponent points per game, use a teams defensive rating.

The Milwaukee Bucks had the best regular season defense in 2019–20.

Opponents points per 100 possessions. Lower is better.

Remember with defensive rating a lower number is desired. This is how many points a team gives up per 100 possessions. A good defense will give up less points than a bad defense.

The Bucks did a great job during the regular season playing their drop coverage. If opposing teams tried to attack the rim, Brook Lopez or Giannis were there to clean things up. This type of defense doesn’t work as well in the playoffs and it led to their demise.

Net Rating

We can use offensive rating to see how good a team is at offense.

We can use defensive rating to see how good a team is at defense.

Both those numbers are at a per 100 possession rate, so why not take the difference between a teams offense and defense and see their overall rating? Well, that is exactly what net rating is. We could also call it point differential.

The Milwaukee Bucks were the best regular season team.

Team Point +/- per 100 Possessions

After playing 100 possessions, the Bucks would be leading by ten points. They outscore their opponents by ten points every 100 possessions they play. That is all net rating is. The Chicago Bulls get outscored by three points per 100 possessions. The Warriors were the worst team as opponents would outscore the Warriors by ten points per 100 possessions.

Basically, I can look at this chart and see which teams are doing well (positive numbers) and what teams are doing poorly (negative numbers). If the Raptors started the season off with a poor record, but are +6 in point differential per 100 possessions like they are here, I could reasonably say that the Raptors are better than their record and should start collecting wins soon.

As the NBA season begins in about a month, make sure to use this stat to track if your team is actually performing well or not, regardless of their record.

Further Information

Net plus-minus, aka unadjusted plus-minus, aka Roland Rating is invented by Roland Beech and measures the plus-minus statistics for a given player when the player is in the game relative to the plus-minus statistics when the player is NOT in the game. Net plus-minus combines offensive and defensive plus-minus.

For example, if a team scores 115 points (per 100 possessions) while a given player is on the court and 98 points (per 100 possessions) while he is off the court, his net offensive plus-minus is +17 (115-98=17).

If the team allows 110 points (per 100 possessions) while a given player is on the court and 105 points (per 100 possessions) while he is off the court, his net defensive plus-minus is +5 (110-105=+5).

So, net plus-minus for the given player is +17-(+5)=+12

TIP: It’s better to have a positive net offensive plus-minus and a negative net defensive plus-minus.

Back to Analytics101

VIDEO TRANSCRIPTION:

In this video, we’ll be discussing team offensive, defensive, and net rating in basketball. We’ll be offering our explanations of what the ratings are and how they’re typically used, while also briefly discussing some of the assumptions made when using the metrics.

As a formula, the ratings are not too complicated: Take the number of points scored for offensive rating or points allowed for defensive rating, divide by the estimated number of possessions played, in the given game or season, and multiply by 100. To create net rating, subtract defensive rating from offensive rating. This can be thought of as the point differential per 100 possessions. The 100 possession benchmark is used as a consistent and aesthetically pleasing baseline for the total number of possessions in an NBA game. With every team’s production placed on the same number of possessions per game, the metric is meant to even out the playing field when comparing different offenses and defenses. 

So, what can these metrics be used for? Well, there are generally three levels of analysis for team sports like basketball: team-level, rotation-level, and player-level. Team level analysis lets you compare team performances, rotation-level analysis lets you compare the performance of certain groups and matchups of players, and player-level analysis lets you compare individual performances. These metrics are most commonly used at the team and rotation level. There are separate calculations for an individual player’s offensive and defensive rating. Typically, the ratings are used for general comparison, but when analyzed properly can also offer comparisons across eras. It is no secret that the pace of play in the NBA has radically increased over the last several years, and what these metrics do, by normalizing to 100 possessions, makes it so performance by these measures can be judged regardless of pace.

Pace in this context refers to the number of possessions in a game. The faster you play, the more possessions there will be by BOTH sides. The slower you play, the fewer possessions both sides will have. For example, the idea is that, with net rating, we could compare the performance of the grit-and-grind grizzlies and the pace-and-space warriors with ease.

Of course, that ease is courtesy of a set of assumptions about how to use the ratings. As with any other sports metrics, you don’t have to use offensive, defensive, or net rating if you aren’t comfortable with the assumptions being made, but let’s dive into the three major assumptions that go into the metrics. 

The first fundamental assumption being made is that possessions can be estimated accurately enough through box score stats. The pro for this assumption is that it estimates it the same way for everybody, so it wouldn’t be doing anyone in particular any favors. Also, it is a reasonably close estimation. The con is that it tends to overestimate possession totals. With play-by-play data, we can actually count the number of possessions in a game, and Justin Jacobs, in a post on his squared2020 blog a few years ago, compared the number of possessions this method estimates to have happened to the actual number. The result? That it consistently overestimates. So, it’s the same for everybody, but also a little bit high for everybody.

The second major assumption being made is that points are the best judge of a team’s performance. This may sound silly, but it’s worth thinking about. Points decide who wins and loses, so it is perfectly acceptable means of measurement. But point totals can be noisy, meaning that there can be oddities that go into how a point total in a given game is reached. Every shot behind the three point line is worth three points, whether a full court heave at the buzzer, a catch and shoot three pointer from a drawn up play out of a timeout, or anything in between. Even that Trevor Booker scoop shot as the shot clock expired from a few years ago (link in the description). If the goal of offensive rating is to measure the quality of the offense, it is worth considering this assumption based on the sample size of possessions contributing to the rating.

The third major assumption is that pace should NOT be considered part of team performance when measuring using this metric. This metric deliberately gets rid of pace from the naked eye. But what’s important to consider is that the fewer possessions a team has, the fewer opportunities there are to succeed or fail, which puts more pressure and mathematical weight on each possession. The opposite is true for teams that play at a faster pace, there is less pressure on each possession. This is a fundamental part of a team’s offensive and defensive decision making. So, the argument could be made that these ratings don’t just normalize the number of possessions, it normalizes the team’s strategies and decision making. The obvious pro of this assumption is similar to the last one: points decide who wins and loses, and to make general comparisons, it’s kind of necessary to get rid of what goes into the point totals from the naked eye. The con is that it could lead to you inappropriately comparing two teams because you’re not considering any of the key things that have made their ratings what they are. Whether that’s what you’re trying to do or what you want to avoid doing is up to you. 

So, in summary, offensive, defensive, and net ratings show the number of points scored, allowed, and difference between the two per 100 possessions the team (or lineup) plays. This is a pace-neutralized metric that is helpful when comparing teams across eras and play-styles. But, it also comes with its own bag of assumptions, that you should definitely think about before really looking at it and/or trying to interpret results born from analyses that use them. 

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