There's a lot of doubt about Phil and this franchise. I was asked why I had faith in Phil to be able to direct this team's rebuild. There's been so much conjecture about the Knicks organization and more specifically Phil Jackson in regards to Metrics and Advanced Analytics, that I wanted to at least try to provide some kind of insight into what the truth is with this team in this area.
Phil on Analytics:
Q: I hear you, but there's still this puzzling dynamic that's out there relating to you. For all the success you had, guys who worked for you don't always have the red carpet rolled out like you might think when it comes to getting jobs.A: No. Well, the game has moved on to another level. Three-point shooting has become like the (pauses). Really the analytics people have taken it to the point of saying, 'The worst shot in the game is a 20-foot jumper, a two-point jumper that's 20 (feet).' And the best shot might be the corner three. Efficiency, OERs (offensive efficiency ratings), all these efficiency ratings are pointing to how many points per possession you generate from certain types of shots. ... But there's so much more to the game.
Q: But at your panel (at the Sloan Conference), you seemed to play it down the middle and seemed pretty receptive to all of this stuff.
A: I like the analytics. We were always on the forefront of that. I'm not going to go after that. I think that it's a really important movement. I think a lot of owners have turned the game, the general managers' jobs, over to people who are more analytic-minded than basketball hierarchy or guys who have been around the league. I mean it seems to be the pattern, and I think they speak their language because a lot of these guys are financial guys. You give them statistics — this stock has done such and such over the past three months, and this is up. This is a language that they can talk, and a statistical language that's pretty good. So I can understand that penchant. I do think that it's still about that being able to look a guy in the eyes and kind of understand that this one is going to go in the fox hole with you and this guy is going to be one of the guys who's on board with what we're doing. Yeah, he's going to be on the line when it comes to that time that's the challenge. And then the rest of the stuff kind of falls in together.
So I know that the penchant for following a lot of the things that are happening in the league is that as humans we kind of run with the pack a lot. I've been a Maverick, and that's just who I am. But I certainly follow what's going on and make a decision about what can I use and what's efficient for me and what's good for me.
You know, the offense that I instituted is not what the NBA was doing in the late '80s and early '90s, and the game has moved on by that and a lot of people like to point at the Triangle as antiquated and (say) it works well in women's basketball etc. etc. But it takes a lot of skill. And to coach skill, you have to spend a lot of time teaching skills.
The Knicks as an organization on Analytics:
But here’s the dirty little secret about the Knicks: They’re not dumb.There are a lot of smart basketball minds who work for the team, even some that owner James Dolan hasn’t yet banished at awkward times for unclear reasons. They have mostly drafted well in the bottom half of the first round, even dating to the tenure of He Who Shall Not Be Named. They were among the first half-dozen teams to enter into a single-affiliation arrangement in the D-League, and they’ll own their own team in White Plains, N.Y., starting next season. They were an early adopter of the SportVU data-tracking camera system, and they have smart people who want to use it in smart ways. They check off a lot of the clichéd “smart team” boxes we use to lionize the Spurs and Thunder. They gave Jeremy Lin his NBA chance. There is an infrastructure here.
They have undermined that infrastructure with panicked decision-making that has mostly prioritized immediate winning and the fattening up of Creative Artists Agency clients at the expense of everything else. They are like a person who makes a lot of smart investment decisions, cashes out, and spends everything on delicious cookies.
Steve Mills:
“What people don’t realize is that Steve has always been a basketball guy,” said Craig Robinson, the men’s basketball coach at Oregon State and a former teammate of his at Princeton. “There’s no question in my mind that he knows the game, knows how to evaluate talent and knows how to network.”Mills has his own ideas, of course. To start, he expressed a desire to incorporate more analytics into the fabric of the team. He said he believes in the power of numbers, citing the influence of Dean Oliver’s seminal book on the topic, “Basketball on Paper: Rules and Tools for Performance Analysis.”
Mills said he had been visiting last week with Allan Houston, the Knicks’ assistant general manager, when he noticed a copy of the book in Houston’s office. Seeing it reminded Mills that he had given copies to members of his staff in his first stint at the Garden. In his new role, Mills said he hoped to use advanced metrics to look at matters like lineup combinations, the length of player contracts and the efficacy of the scouting department.
Mills said much of his understanding of the game dated to his time at Princeton, where the culture of the basketball team had required an adjustment. Accustomed to scoring 20 points a game as a high school guard on Long Island, Mills soon realized that Coach Pete Carril’s methodical offense meant that no individual would shine above the others. The system worked, though, and that was paramount.
Mark Warkentien:
Before the previous decade, much of basketball analytics focused on player valuation metrics -- numbers that essentially ranked players from best to worst. The motivation for this was simple: Players are hugely important in basketball. My old boss in Denver, Mark Warkentien, used to talk about how "I'll give you the best coach along with a bunch of guys who play hard and play together, but I'll take LeBron James, thank you." Having a metric that summarizes a player's value in one number has been viewed as the Holy Grail, theoretically allowing decisions about personnel to be easy."For years, Warkentien has evaluated players with an approach he calls 'eyes-ears-numbers.'" -- Benjamin Hochman, Oct. 12, 2009
The problem with player value metrics is that there is little to validate them, meaning that no metric has established itself as clearly the best. Metrics couldn't even be fairly compared. As each new metric has been developed, it has served mostly to complement traditional scouting, a way to reality check when subjective opinions formed by watching and hearing about players were going too far astray.
Player value metrics are not the only basketball analytics, though. It was 10 years ago this week that my book "Basketball on Paper" was released. That book focused on teams first and players second. It broke down the game, dividing points into efficiency and pace, with a focus on how teams and individuals could be efficient. The Four Factors break down efficiency into shooting efficiency, rebounding percentage, turnovers per possession and getting to the line. Partly because of this perspective, there has been a more broad emphasis on shooting (and defending) layups and 3-point shots, which have the highest effective field goal percentage of any shots on the floor. This did not require my book, but it highlights the book's approach of using analysis of readily available data -- box scores and shot charts -- to suggest simple ways to influence the game.