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A player drives to the basket. As the defense collapses, he passes the ball to his teammate, anchored at the corner, for the open three-point shot.

This corner shot is , as measured through the expected points per shot. It's second only to shots at the rim, followed by three-point shots above the break – that is, the location on the court where the three-point line .

Thanks to data like this, teams now distribute their shots in a different way than they did a decade ago. Three-point shots and shots around the rim are on the rise, while midrange attempts are declining. The media refers to this shift as after Daryl Morey, the Rockets' general manager, who has been recognized as the pioneer for this trend.

Looking beyond shot distance

Why are corner three-point shots more efficient compared to the ones above the break? A common misconception among fans, media and even analysts is that this is solely due to . While distance certainly plays a role, it cannot explain the degree of discrepancy in the data.

To understand better what is going on, I looked at of shots from the 2013-14 and 2014-15 NBA seasons. I estimated, through a simple , the expected difference in the field goal percentage – that is, the success rate – for corner and above-the-break three-point shots, based on their average distance from the basket.

While the model expects a slight difference of about 1.5 percent, it is not as high as the 4 percent I saw in the data.

So what is going on? Of course, models are simplifications of reality. But there is another important difference between the two types of three-point shots: the distance to the closest defender. Corner three-pointers are on average more open as compared to above-the-break three-pointers, making them higher-quality shots.

Why though? Because of assists. Assisted shots are, on average, more open compared to unassisted shots. More than 90 percent of corner three-point shots are assisted, while shots above the break are assisted at a rate just above 70 percent. Midrange shots are assisted at an even lower rate, not helping their case for efficiency.

Previously, in what resembles a , I performed on an International Basketball Federation competition, . The same pattern emerged. Corner three-point shots were more efficient – and were assisted at a much higher rate.

Using these results, one can start estimating the expected contribution of an assist to a shot. For example, an assist to a left corner three-point shot increases the league-average field goal percentage to 38.7 percent from the 34.9 percent for an unassisted shot from the same zone. This corresponds to +0.114 expected points per left corner three-point shot, when assisted.

During the seasons covered in the data set I used, the teams took on average approximately 82 shots per game, half of which were assisted. On average, an assisted shot added 0.16 expected points more compared to an unassisted shot. If teams looked for the extra pass on 15 of their unassisted shots, this corresponds to approximately 2.4 additional expected points over the course of the game, .

Assisting STEM education

A large part of revolves around analyzing spatio-temporal data. The availability of such detailed data is, quite literally, changing the game. While simple statistics can provide valuable insights, more complex models now drive applications that sports practitioners and researchers could not even think of 10 years ago.

For instance, my colleagues and I have developed , a system that is able to evaluate micro-actions – such as screens and off-ball cuts – to holistically evaluate a player's contributions to winning. Other researchers have developed that allow a coach to anticipate the reaction of a defense to a specific offensive scheme.

Most importantly, though, I believe that sports offer a great vehicle through which educators can provide data literacy to younger generations. In , students associate better and engage more with technically challenging concepts when they are introduced through sports, as compared to abstract settings. This is particularly crucial for introductory courses, which for .