League: Play Context
The Play Context table takes you to an even deeper level of team analysis than the Four Factors Summary and Shooting tables by estimating the context in which various events happened.
Everything that happens in the game of basketball can be divided into four main contexts:
(1) Halfcourt. Anything that occurs when all 10 players are in the scoring half of the court and set in a normal guarding position. The majority of the game falls into this category.
(2) Transition. Anything that occurs as the teams are switching sides of the court and all 5 defenders are not back and set in a normal guarding position.
(3) Putback. Anything that occurs after an offensive rebound before the defense gets reset. An offensive rebound that is pulled out, allowing the defense to recover, just creates another halfcourt play.
(4) Miscellaneous. Anything else that doesn't fall into these categories, e.g. an intentional foul in the backcourt.
This page shows key team stats divided into the first three contexts. These contexts are estimated from play-by-play, so they are just estimates — but a lot of work has gone into trying to make them as accurate as is possible given the data. They should allow us to get the right, general picture, especially over larger samples.
Plays vs. Possessionsclick to show/hide
CTG distinguishes between possessions and plays, and this distinction is important when diving into context information. A possession starts when a team gets the ball and ends when they lose it. A play ends when the team attempts a shot, goes to the foul line, or turns the ball over. If a team gets an offensive rebound, that results in a continuation of a possession but a new play. So a possession can have multiple plays.
Play contexts are per-play, not per-possession. For example, a team might come down in transition and miss a shot, get the offensive rebound, kick it out, and run a halfcourt set. Then might miss that shot but get a tip in to score and end the possession. That was all one possession, but three different plays and three different contexts: the first shot was in transition, the second in the halfcourt, and the third was a putback. So the context stats shown in this table are per play.
Halfcourtclick to show/hide
There are three halfcourt stats shown: Pts/Play, OREB%, and % of Plays.
Pts/Play is fairly straightforward: it simply measures points scored per 100 halfcourt plays (so it's easier to read). This tells us how efficient a team was in a purely halfcourt context.
Note, though, that teams can get more halfcourt plays per possession than other teams by offensive rebounding. That's where OREB% comes in. This stat shows a team's offensive rebounding percentage from halfcourt misses. (Read more about the OREB% stat in the League Four Factors guide.)
The halfcourt is the least efficient of the contexts. This makes sense, since it is the context where the defense is set and in the best guarding position. That means that one goal of teams on offense is to play in the halfcourt as little as possible, and one goal of teams on defense is to keep their opponents in the halfcourt as much as possible. % of Plays shows us how well teams are accomplishing this. It tells us what percent of a team's plays were in the halfcourt.
Example: 2016-17 Top 10 Offensive Teams
Since teams play in the halfcourt so much, a team's pts/play in the halfcourt is highly connected to their overall efficiency. We can see that of the top 10 offensive teams in overall points per possession, only Washington and Minnesota (#9 and #10 overall) ranked outside the top 10 in halfcourt pts/play. Minnesota was great on the offensive glass (#2 in halfcourt OREB%) and Washington, as we'll see, was very efficient scoring in non-halfcourt contexts. And, as we see here, they ranked 7th at avoiding playing in the halfcourt, which clearly was a big boost to their offense.
Golden State's offensive dominance is apparent in this section of the table. Not only were they the league's best halfcourt offensive team, they also played in the halfcourt less than all but one other team (ranked 2nd in % of plays). Defenses had to try incredibly hard just to get Golden State to play in the halfcourt — and when they succeeded at that they had to face the league's best halfcourt offense. Whew.
Transitionclick to show/hide
There are three transition stats shown: Pts+/Poss, Freq, and Eff. These three stats are shown for three different situations: (1) total transition, (2) transition that comes from steals, and (3) transition that comes from live ball defensive rebounds.
Points added per possessions (Pts+/Poss) is a little complicated, but after a lot of thought it seems to be the the best way to measure a team's overall transition effectiveness. To understand why, though, we have to examine the next two stats first: transition frequency and transition efficiency.
If you want to know how often a team is running, transition frequency is your ticket. It simply looks at what percentage of a team's possessions began with a transition event. If you want to know how effective a team is in transition, that's what transition efficiency is for. It tells you: for every possession that started with a transition event, how many transition points did the team score?
So if you want to find out how good a team is in transition, what do you look at? It's not just how often they run, because how efficiently they score in transition matters too. But it's not just about how efficient they are, because it matters a lot how often they run. CTG combines these two by estimating: how many points per 100 possessions is this team adding through their transition play? The details on how this is calculated are below, but the main takeaway is that Pts+/Poss is a way to get a one number measure of a team's transition play.
One last note: the frequency stats for transition off of steals and transition off of rebounds is a little different. For the STL Freq stat, it's showing: what percentage of a team's steals did they turn into transition? And for the Reb Freq stat, it's showing: what percentage of a team's live ball defensive rebounds did they turn into transition. This lets you know how often a team was able to run out of either of these situations (independent of how many steals or rebounds they got).
Example: 2016-17 Top 10 Offensive Teams
So, yeah — the Warriors were also by far the league's best transition team. They were #1 in transition frequency, running more than any other team, and they were #3 in transition efficiency. They ran well off of steals (4th in STL Pts+) but were devastating running off of rebounds (#1 in Reb Pts+).
The Cavs, meanwhile, were an interesting transition team. They did not run frequently or well off of steals, but they were quite good running off of rebounds.
The Gritty Details
A lot of gritty details on this one.
First note that CTG defines transition as starting at the beginning of a possession and only ending once the defense is set. That means that if a team comes down in transition and misses a shot but gets a putback, that putback is classified as part of the overall transition event and counted in those points. (If you were watching a game and saw that sequence happen, it would seem pretty clear that it's still part of transition.)
The details on how Pts+/Poss is calculated get complicated. It boils down to this: CTG takes a team's points per possession that starts with transition, and subtracts out what an average team does in a possession that did not start with transition. This tells us, per 100 transition possessions, how much more the team is scoring because they ran than if they played in the halfcourt. (We need to use an average team's halfcourt efficiency or a team that's good in the halfcourt on offense would bias these numbers and make them hard to compare across teams.) We take the result and multiply it by the team's transition frequency. This tells us how many points per 100 total possessions the team is adding through its transition play.
Putbacksclick to show/hide
Putbacks are plays that occur immediately after an offensive rebound before the defense gets set. This includes tip-in attempts, situations when the player came down with the rebound and went back up with it, or times when the rebounder passed it and the play ended (i.e. resulted in a shot, foul, or turnover) within a few seconds of the rebound. We have three stats for evaluating putbacks: Pts/Miss, Plays/Miss, and Pts/Play.
Pts/Miss shows how many putback points were scored per 100 reboundable misses in the halfcourt. It basically is combining (1) how often a team gets an offensive rebound (2) how often they turn that rebound into a putback play and (3) how efficient they are at converting their putback plays into points.
Plays/Miss is just a combination of the first two: how often a team gets a rebound and how often they turn it into a putback play.
Pts/Play, meanwhile, tells us how efficient a team was at converting their putback plays into points.
Example: 2016-17 Top 10 Offensive Teams
The Denver Nuggets ranked 6th in halfcourt efficiency, but ranked 4th in overall points per possession mainly because of their play on the offensive glass. Not only did they offensive rebound at a high rate, they also turned those shots into putbacks at a high rate (3rd in halfcourt OREB%, 1st in putback plays/miss). They weren't particularly efficient on these plays (20th), but the efficiency of a putback play is still a fair amount higher than what they scored in a halfcourt play (108.9 vs. 95.5).
The Washington Wizards' offense was helped a lot by their play outside of the halfcourt. They were 13th in halfcourt pts/play and 13th in halfcourt OREB%, but ranked 3rd in transition points added and 7th in putback points per miss, helping raise their overall offensive efficiency to 9th overall.
The Gritty Details
As mentioned in the transition section, putbacks that came out of transition are classified as transition events, not putbacks. So putback plays come from misses in either (1) the halfcourt or (2) other putback plays.