By Sheldon Hirsch, author of Hot Hands, Draft Hype, & DiMaggio's Streak: Debunking America's Favorite Sports Myths
Russell Westbrook of the Oklahoma
City Thunder has received enormous acclaim for averaging a triple-double this season,
a feat that has been accomplished only once in NBA history—by the all-time
great Oscar Robertson 55 years ago. A New York Times reporter recently gushed
that Westbrook’s triple-double run is “a
performance as aberrant as anything any of the primordial basketball legends
(Wilt, Oscar, Bill Russell, Pistol Pete) ever did.”
But while Westbrook
certainly has played great, let’s not get carried away with this specific
achievement: in reality, the triple-double is overrated.
Nothing magical happens with
the tenth point, rebound or assist. As the ninth is simply one more than the
eighth, the tenth is just one more than the ninth. In that regard, Westbrook’s 31.1
points, 10.5 rebounds and 10.1 assists per game (as of the all-star break) barely
differ from James Harden’s 29.2 points, 8.3 rebounds and 11.3 assists per game and
are not much more than Lebron James’s 25.9 points, 7.7 rebounds and 8.8 assists
per game. Indeed, James’s complete statistical line, which includes fewer
missed shots and turnovers and a high proportion of assists on three-point
shots, may be superior to Westbrook’s and Harden’s.
I would not rank Westbrook
over Harden, James or others for reaching three unrelated numbers of no
specific value; nor, in turn, should triple-double runner-up Harden rank over
James and others for that reason; nor, should Westbrook or Harden necessarily
rank above Kawhi Leonard, even though Leonard has never had a triple-double.
Why the fascination with the
triple-double? Why the game-by-game Westbrook drumbeat?—did he or didn’t he?—and
melodrama (“He passed Bird! Wilt is next!”….“primordial legends”)?
Tobias Moskowitz and L. Jon
Wertheim (Scorecasting: The Hidden
Influences Behind How Sports are Played and Games Are Won) explain the outsized
allure of statistics like the triple-double: “we are slaves to round numbers.” They
cite examples outside of sports—this is a widespread phenomenon—but their most
pertinent discussion concerns baseball’s .300 batting average. A .300 average
is essentially the same as .299, yet the authors found that “In the last
quarter century, no player hitting .299 has ever drawn a base on balls in his
final plate appearance of the season.” Not once! These hitters expanded their
strike zone in order to keep alive the chance of hitting .300.
Furthermore, players hitting
.300 on the season’s last day are much more likely to take the day off (to
ensure their .300 average) than are players hitting .299. (Memorably, Ted
Williams played on the final day of the 1941 season despite entering the game
with a .400 batting average. He ended up at .406; his willingness to risk
falling short went down in baseball lore as testimony to his greatness.) Not
surprisingly, the same holds for batters who enter the final day of the season
with 99 or 100 RBIs: the latter take the day off far more often than the
former.
Most importantly for present
purposes, players are paid more money
after they hit .300 rather than .299, or drive in 100 runs rather than 99, or
hit 30 home runs rather than 29. General managers over-and undervalue players
who just reach or just miss round numbers.
The triple-double is not
alone in failing to adequately rank players. All basketball statistics, from basic
numbers (points, rebounds, and assists totals) to advanced analytics, have
significant limitations.
Ideally, any statistical evaluation
would eliminate all variables other than the performance of the athlete being
measured. Unfortunately, basketball contains a myriad of important variables,
including the considerable effects of the nine other players on the court, varied
team paces and styles, different responsibilities assigned to players, and more.
With that degree of player interaction and overall complexity, basketball
simply does not lend itself well to numerical assessments of individual players.
Context is key in evaluating
players. For example, Kevin Durant’s exit led to the near-complete reliance of
Oklahoma City on Westbrook—an NBA all-time high “usage percentage” —and to Westbrook’s
increased scoring (also, turnovers and missed shots). In addition, Westbrook’s
career high in rebounds owes in part to Durant and Serge Ibaka being replaced
on the front line with poor rebounders; Westbrook filled a void. Westbrook deserves
credit for everything he’s done this season—every last point, rebound, and
assist—but he is not a better shooter, rebounder, or passer than last season.
Similarly, although Durant
is now shooting his highest percentage ever from the field, his shooting skills
have not improved. Instead, he’s getting better shots from Golden State’s
constant movement offense than he did with Oklahoma City’s isolation-emphasized
style. On the other hand, sharing the offensive load with sharpshooters Steph
Curry and Klay Thompson, he’s taking the fewest shots per game in his career and
his scoring average is down.
Variables and context plague
measurements of defense even more. Defense is always team-schemed and it’s
nearly impossible to isolate a single player’s contribution (even though more cameras,
shot charts, and other sophisticated strategies have been brought to bear on
the attempt.)
Consider the publicly
available overall defensive evaluations, which fail in two critical ways.
First, they do not distinguish adequately among players. Second, they too often
yield plainly ridiculous results.
For example, in Basketball-Reference’s defensive ratings
(a complex analytics formula that yields the points allowed by a player per 100
possessions) the twelve rotation players on the Cleveland Cavaliers currently fall
in the narrow range between 105 and 112. Measures of error are not provided but
it may be that the formula finds no statistically significant difference
between any of the players. (For
comparison, Cavalier offensive ratings span from 97 to 127.) At best, any distinctions
here are minimal.
Bizarrely, Kevin Love ranks
as the Cavalier’s best defender. NBA cognoscenti (and anyone else who has ever
watched a Cavs game) consider Love a poor defender. His high defensive ranking indicts the methodology,
as does Basketball-Reference’s
assessment of Klay Thompson as the Warriors’ weakest defender. Worse yet, consider
Harden, a notoriously poor defender; numerous internet videos document his self-acknowledged
problem with concentration and his comic lapses into fugue-like states at the
defensive end. Yet two seasons ago Basketball-Reference
ranked him equal defensively to the hyper-energetic, focused, and more athletic
Westbrook. Forensic pathologist Henry Lee quipped in the O.J. Simpson trial
that if you find one cockroach in a bowl of spaghetti, you toss the entire
plate; cockroaches abound in Basketball-Reference’s
defensive ratings.
And since any composite
statistical player evaluation must include defense as a significant component, none
of them (i.e. WAR, VORP, and others) inspire any confidence in their value.
Statistics alone, whether simple or complex, cannot adequately rank basketball
players.
Most analysts still consider
James the NBA’s best player, but his reign is nearing its end. At 32 years old,
he now rests on some defensive possessions and will soon decline. Who is his
heir apparent among perimeter players? With apologies to Durant and Curry, who
have also hit their peaks and are now difficult to evaluate (playing together
on a team that would win at least 60 games without either one), the major candidates
for the NBA’s top dog over the next few years are Westbrook, Harden, and Leonard.
Westbrook and Harden both
sport gaudier basic statistics than Leonard: more points, rebounds, and
assists. But the inability of these statistics to establish Westbrook’s and
Harden’s superiority becomes apparent when we imagine the three players
switching teams. In the more egalitarian and far slower paced San Antonio
system, Harden’s and Westbrook’s points, rebounds and assists would all
decrease, with their points and rebounds nearing or reaching Leonard’s current
numbers. Harden and Westbrook, as point guards, would still have more assists
than Leonard, but also more missed shots and turnovers. Leonard shoots more
efficiently than Harden and (especially) Westbrook. With these advantages
cutting in both directions it would be hard to claim significant overall
offensive superiority for any of the three over the others.
In contrast, we can make
clear distinctions at the defensive end. To start, you don’t need anything more
than your eyes to know that the reigning two-time Defensive Player of the Year
Leonard dominates the blooper film star Harden, even if Harden has improved
somewhat. Down goes Harden.
Furthermore, Westbrook is a
solid defender but still falls short of Leonard, who is probably the NBA’s best
perimeter defender since Scottie Pippen (or even longer). Westbrook cannot
match Leonard’s defensive versatility, his ability to guard anyone from point
guards to power forwards. Nor can he match Leonard’s extraordinary reach.
Announcer and ex-coach Jeff Van Gundy appropriately calls Leonard “by far the
best defender of the three.”
Thus, we can choose among
these players simply by watching Leonard defend. That may seem odd in the
modern analytic era, but his obvious defensive superiority trumps any fine
distinction (statistical or otherwise) that can be made among the three at the
offensive end.
Leonard is the least flashy
of the superstars. He has no triple-doubles or other eye-catching achievements.
There’s no statistical basis to affirm him as the NBA’s best player. He won’t win MVP this year. Nevertheless, with
his superb all-around play, I’d take Leonard over Westbrook and Harden.
Sheldon Hirsch is the author of Hot Hands, Draft Hype, & DiMaggio's Streak: Debunking America's Favorite Sports Myths