70sFan wrote:f4p wrote:one way to do this is think about players and archetypes you have seen play a lot, think about what their numbers look like, and then look at the older player's numbers and try to surmise things from that. if you understand how the archetypes and numbers usually work, you don't necessarily have to see Player A numbers > Player B numbers; therefore, Player A > Player B. if you know Player B is a better defender and a creator who is likely to be underrated in certain stats and they are already close to parity with Player A, you can guess that Player B is actually the better player. maybe some people aren't comfortable with being able to do that.
How can you understand the archetype without watching a single game of a player? Especially considering that we're talking about the best players ever, who often went beyond archetypes. Like, it's impossible to understand Larry Bird game without watching him in action. I think it's also very hard to understand what made Rick Barry good without watching his games. Some may think that Artis Gilmore and Dwight Howard played the same way, but it's far from the truth.
We have to work with all the information we have. Sometimes it's not much, but it's not an excuse for lazy people to do nothing outside of reading basketball-reference page...
The other bit missing here is how exactly one goes about grading archetypes. What is the basis of one set of skills being better than another?
If it's their Per/BPM or things heavily influenced by what metrics like PER consider production(thus biasing certain playertypes) or things/consesus heavily influenced by those considerations(ex: early dpoy voting was largely choosing the guard with the most steals), you get a bubble where certain archetypes are assumed to be better and than that assumption is checked against things built on....assuming those archetypes are better.
And that's where things start getting silly as we start tossing PER for teammates on a team that won entirely on defense even though a plethora of similar defense-heavy bigs correlating with team results(and for the pinnacle of that archetype, more) than as the modern archetypes crudely transposed backwards across history.
Or we decide high block totals are what produce top 5 defenses using a guy who led a top 1 defense multiple times but dismissing it because that top 1 defense, after multiple career-screwing injuries, happened under a good coach. And then we use this to assume every player who isn't a big block-accumulator is actually just a cieling raisier because reasons.
Or you tell yourself that ball-handling is trivial(or even bad sorry unscalable), and all the things that happen before a possession ends are extremely replaceable and the high-assist stretch where a player goes 11-0(+8 net) without their best teammate is equated with the one where a guy goes near .500(+2 net), even though the best offenses are disproportinately produced by the heaviest ball-dominators and the guy who is #1 in rs and win percentage is...perhaps the greatest ball dominator in history. And of course if you go by PER or BPM this is correct.
And now we watch the same game of larry bird, but you decide to ascribe a bunch of extra points for the fact he isn't touching the ball much for his assist. Or Chris Broussard is now telling America that if you know who was less ball dominant, he might have won 12 rings. And then the face of analytics corroborates all this by tossing in a bunch of hybrids(built with all of the above skewing things) over specific time frames(2 of the 3 actually generally favoring mr. ball dominant) and pretending your career started when you were 24 and ended in Miami.
Meanwhile another analytics face designs his own stat for mass consumption with his own archetype take(two-way wings!). His reasoning: Assumption 1 and assumption 2 and assumption 3 all smushed together because of a media narrative about a wing in toronto offensively --and defensively-- outplaying a big based on assumptions 1 and 2 and a little bit of 3.
And then when provided data that flatly refutes this(like the effeciency splits of the guy allegedly shutdown when he attacks different defenders), not to mention the defensive results after the dude leaves, we still cling to all these assumptions because all-in-ones largely making those same assumptions say he played like MJ. Even when he is outscored by a better creator playing a better defense.
In fact, the defense that was nowhere the biggest factor during his best 4 game (defensive) stretch of the run makes up the difference in the series he was left on draymond. All to justify the stat making assumptions with a bunch of other stuff making those same assumptions with an eyetest that presumably makes those same assumptions.
The approach here for this specific comparison is clearly broken, but let's assume general parity between box and winning, because of an assumption of closeness(built on raw numbers without any actual frame of what "parity" looks like) that has no bearing on the comparison in question and ignores(repeatedly) that noise and directional bias are two different things.
All so we can keep defining "production" in the way that allows us to prop the players who produce in those specific ways that 40-years of myth-making have told us matters more than everything else.
It doesn't mean I shouldn't use any numbers, quite the opposite. Raw +/- is critical to understand the correlations within rosters, RAPM tries to adjust the outcome for faced opponents and teammates, so it's a good indicator of how successful your team is with one player on the court relative to faced opponents and teammates, but it's not a measurement of player's "goodness" either.
RAPM has blind spots(outliers) and is derived by a form of impact that is particularly noisy in nature(minutes without as opposed to games without as opposed to season without ect) which all is very important to note in conversations with people who spam metrics blindly with no consideration for what the metric is doing and where its biases may lie(or worse still -- assuming biases on the basis of -- not liking certain styles of play).
But of course, the people using rapm that way, tend to also be the ones who use bpm, and per, and on/off that way. Not the "box-skeptics" that we construct funny consensus-proxies to challenge because we can't be bothered to address what is actually being said.
And you know, if you are going to play the "how many wierd results are there" game to measure stats, you could at least measure them evenly. If we're going to create a longetivity thing to make your simple box whatever look like a better consensus proxy, you could also be bothered to check possession counts or similar time frames when freeting over whatever role player happened to look better than wade over careers that varied greatly in length. Does Wade --still-- look worse than player x or z over 5 year stuff? No. Would his accumulative value with the career mark torch the shorter-lived careers he's scandalously behind? Yes.
Aggressively misusing stats(or at least using them in a way their "proponents" do not) in order to make them look worse is a bad habit, and one that is common with most of this criticism.
Have APM proponents run a parade for Duncan looking #1 in the most predictive of lineup-derivatives? No, because the mechanics of that stat likely favor Duncan in a way they don't favor steph or kg or lebron and when we map to trajectories we see a guy topping him until those mechanics break his cieling at 25.
Have on/off proponents run with steph, draymond, moses, and fisher as goat candidates? No, because some of the players edge tend to be staggered with stars way more and have played way more thus suppressing their averages greatly and data-adjustment and enlargening the sample swings things towards three players(including 2 who would suffer from both of the mentioned factors)
Has the WOWY/pure signal crowd been championing Bird and David Robinson as top 10? No. Because when it's used with russell or lebron or kareem or magic or whoever else, the idea was never to just look at their best signal and call it a day. Lebron has the 61 win team turning 18-win, he --also-- sees a 17-win team jumping to 50 by 21 and is clearly one of two in his late 30's and also is seemingly turning either sub-30 or sub-40 to 60 as a coasting regular player in his early 30's. And then there's the context of him nuking what typically would be a player's best stretch emperically by playing a different position to accomondate his teammates and still looking great(and then there is the hakeem-level playoff elevation).
Is Russell's case just a matter of the 69 celtics vs the 70 celtics as alleged in the 70's thread? No, 70, 71, 72, 69 itself, the miniscule sample without over 11 years, wowy combinations, wowyr, defense/offense distributions, srs tresholds, pre-nba and the olympics, and --then-- you get the 11 titles, 5 mvps, and #1 poy voting as the least popular face on rushmore
And of course, these crowds tend to actually not operate as monoliths. The proponents for all these stats will generally use the others and the players championed the most are the ones who look great with all the approaches, including some use of the box-score. It's just box is used in a manner that ties it to the specific comparison made, not "well the box-score is generally right soooooooo"
Good data use is not a democracy and if it truly was, then that would require accounting for the soccer-box scores me and rk have conjured up, and the defensive-only components, and goat points, and ibm formulas and all the infinfite alternatives those have which lead to similar conclusions just as much as BPM or PER or ws/48 or on/off or rapm or anything.
But of course that's not what is actually being done by impact skeptics. What's actually being done is taking whatever numbers happen to favor certain theories on what produces winning, irregardless of if those theories are substantiated. It's assuming that things like being a defensive anchor is a source of bias and not an indication of goodness while simultaneously refusing to use that same philosophy with volume scoring or off-ball cutting, or man defense.
If a team being reliant on a skill a player is good at makes impact --biased-- towards that player(as opposed to that player just being better), then why should any skill be given weight or value?
It's the same type of thinking when we decide a player, in the midst of a surprisingly successful season, should be defined by what he did at the end of one game rather than the series or season while dismissing 3-poor performances from a teammate the year before admist gambling reports, or a finals loss 8 years before largely influenced by a bar-fight from the guy who allegedly(by many) had --the best-- intangibles and was therefore the bestest alpha. Then lets make a docu-series only talking about the first transgression so we can set trae-young right
How about the super good-faith approach of evaluating players by focusing on them at their worst? Unless of course they go sub .500 three times in their 20's and...wait that wasn't KG?
PER matters. IBM and goatpoints and progressive passes/carries do not. Buzzer-beaters matter, how your teams perform in the 4th quarter, particularly with you on the floor, does not. Gravity is scalable, communication is not. Being an alpha is good, influencing decisions on every level for teams that win is not. Shooting off curls is goodness, anchoring defenses and manipulating defenses with the ball is wowy-stuffing.
it's just assumptions defended by the same assumptions for the purpose of vindicating the same assumptions. Loops inside loops set to play for decades till we build rankings around buzzwords(and whatever arbitrary math might justify the player associated with said buzzword).
PER and friends is just the data-branch of this enlightened assumption machine. Up there with "portability" and nonsense pace-adjustments. It's not real. It is convenient. Particularly for those who really want to glaze up the decade they matured as the pinnacle of everything.