Posted by Alex Moscoso (@AlexPMoscoso) on December 14th, 2013
Who among college basketball fans hasn’t been frustrated by a volume shooter on their team? We all know the volume shooter, right? That player who hasn’t seen a shot he didn’t like. He starts off the game, seemingly, unable to buy a bucket. But then, all of a sudden, he gets hot and makes everything, maybe even the game-winning shot. Wash, rinse, repeat. The emotional roller coaster a volume shooter puts his fans through, while frustrating, is another example of the up-and-down nature of college basketball that diehards love about the sport. But how many players are really “volume” shooters? To clarify, how many players become more efficient the more often they shoot the ball? According to the numbers, the answer is not many, and they’re likely not the players you’d expect.
Jarrod Uthoff is the type of player who gets more accurate the more shots he puts up.
For this post, we did a quick analysis to determine the Big Ten’s volume shooters. To start, we only looked at players averaging double-figure points per game and measured player efficiency by using true shooting percentage to take into account the full spectrum of scoring opportunities: three-pointers, two-point field goals, and free throws. We used “true” shots (the denominator of true shooting percentage) as the measure of quantity or “shots taken.” Next, we counted each game as one observation and plotted each player’s game efficiency and quantity of shots on a graph. Lastly, we ran a simple regression analysis for all players to determine which ones had the most positive relationship between efficiency and the number of shots taken. From this analysis, we found that Iowa’s Jarrod Uthoff (10.3 PPG), Wisconsin’s Ben Brust (12.0 PPG), and Frank Kaminsky (14.7 PPG) were the three players with the most positive relationship between efficiency and shots taken. To illustrate this, the graph below maps each player’s regression line with one another. As a comparison, we included the regression lines of the Big Ten’s leading scorers: Michigan’s Nik Stauskas (18.9 PPG) and Penn State’s D.J. Newbill (18.5 PPG). Keep in mind that a regression line maps a player’s expected efficiency given the number of shots he takes in a game. Click on the graph for a larger view.
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