TwIsTeR's Lakers: Basketball Statistics

Filed under: by: wj

There is a growing phenomenon as the sport of basketball slowly increasing in popularity. People began to view basketball not just as a sport for enjoyment, for spectators and players alike, but as a mathematical puzzle or problem. They begin to come up with statistical aspects that seem to determine the production of the game. Points, rebounds, assists, blocks, steals become part of the numbers game as people try to take the complex sport and break it down to simpler, easier to understand models.

Yet, anomalies started to occur more and more often. The game of basketball refused to be understood. True enough, the stats showed a bit of the efficiency of the players, but it never showed how a player can benefit his team, basketball being a perennial team sport. The current statistical model was also inadequate to show the defensive aspect of the game; blocks and steals couldnt be a true indicator.

So the statisticians, like ESPN's John Hollander, introduced new revolutionary statistics to try to explain away the game. PER, efficient field goal percentage, +/- were new statistical aspects in the team and individual level. Opponent field goal percentage (the 3 point line, in the paint and the mid-range) and forced turnovers and overall defensive rating was introduced to bread down the defensive aspect. Pace factor was also included to level up the discrepancies of how pace influences the outcome of performances and wins/loses.

Yet, statistical anomalies appeared time and time again, defying the completeness of the models. Players like Shane Battier, as stated in this brilliantly written article by Micheal Lewis, seemed to be helping his team without posting any significant statistical impact. In his article, he writes:

"The virus that infected professional baseball in the 1990s, the use of statistics to find new and better ways to value players and strategies, has found its way into every major sport. Not just basketball and football, but also soccer and cricket and rugby and, for all I know, snooker and darts — each one now supports a subculture of smart people who view it not just as a game to be played but as a problem to be solved. Outcomes that seem, after the fact, all but inevitable — of course LeBron James hit that buzzer beater, of course the Pittsburgh Steelers won the Super Bowl — are instead treated as a set of probabilities, even after the fact. The games are games of odds. Like professional card counters, the modern thinkers want to play the odds as efficiently as they can; but of course to play the odds efficiently they must first know the odds. Hence the new statistics, and the quest to acquire new data, and the intense interest in measuring the impact of every little thing a player does on his team’s chances of winning. In its spirit of inquiry, this subculture inside professional basketball is no different from the subculture inside baseball or football or darts. The difference in basketball is that it happens to be the sport that is most like life."

He continues:

There is a tension, peculiar to basketball, between the interests of the team and the interests of the individual. The game continually tempts the people who play it to do things that are not in the interest of the group. On the baseball field, it would be hard for a player to sacrifice his team’s interest for his own. Baseball is an individual sport masquerading as a team one: by doing what’s best for himself, the player nearly always also does what is best for his team. “There is no way to selfishly get across home plate,” as Morey puts it. “If instead of there being a lineup, I could muscle my way to the plate and hit every single time and damage the efficiency of the team — that would be the analogy. Manny Ramirez can’t take at-bats away from David Ortiz. We had a point guard in Boston who refused to pass the ball to a certain guy.” In football the coach has so much control over who gets the ball that selfishness winds up being self-defeating. The players most famous for being selfish — the Dallas Cowboys’ wide receiver Terrell Owens, for instance — are usually not so much selfish as attention seeking. Their sins tend to occur off the field.

It is in basketball where the problems are most likely to be in the game — where the player, in his play, faces choices between maximizing his own perceived self-interest and winning. The choices are sufficiently complex that there is a fair chance he doesn’t fully grasp that he is making them.

Taking a bad shot when you don’t need to is only the most obvious example. A point guard might selfishly give up an open shot for an assist. You can see it happen every night, when he’s racing down court for an open layup, and instead of taking it, he passes it back to a trailing teammate. The teammate usually finishes with some sensational dunk, but the likelihood of scoring nevertheless declined. “The marginal assist is worth more money to the point guard than the marginal point,” Morey says. Blocked shots — they look great, but unless you secure the ball afterward, you haven’t helped your team all that much. Players love the spectacle of a ball being swatted into the fifth row, and it becomes a matter of personal indifference that the other team still gets the ball back. Dikembe Mutombo, Houston’s 42-year-old backup center, famous for blocking shots, “has always been the best in the league in the recovery of the ball after his block,” says Morey, as he begins to make a case for Mutombo’s unselfishness before he stops and laughs. “But even to Dikembe there’s a selfish component. He made his name by doing the finger wag.” The finger wag: Mutombo swats the ball, grabs it, holds it against his hip and wags his finger at the opponent. Not in my house! “And if he doesn’t catch the ball,” Morey says, “he can’t do the finger wag. And he loves the finger wag.” His team of course would be better off if Mutombo didn’t hold onto the ball long enough to do his finger wag. “We’ve had to yell at him: start the break, start the break — then do your finger wag!”

This seem to have encompass what I wrote in my post of basketball as a complex sport. In its unique nature that seems to simulate life in fast forward, it becomes exceedingly hard for statistics to be more than vaguely accurate, just like it is when computing life's decisions.


There are three kinds of lies: lies, damned lies, and statistics.

-Mark Twain



Often statistics are used as a drunken man uses lamp posts... for support rather than illumination.

-Source Unknown



Statistics are no substitute for judgment.

-Henry Clay

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