I Believe in Time Lord...Why Can't You?

slamminsammya

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Well it's an actual measure of how well (or not) the team plays when they're on the court, which ultimately is what I care about. Absolutely it's dependent on who else is on the floor etc., but so is any other stat. I'm glad to have you point out better measures.
Take your pick of any of the myriad statistics that exist in 2021 that are readily available for all to see. Some of them are even plus minus based. Hell, even the old ones like win shares or PER I would trust more than raw +/-. Its a bit like quoting RBI's on this board circa 2003 to argue about a batter's quality. Sure, it measures how well a player plays when they are up to bat but, from another perspective, who cares about RBIs?
 

the moops

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Take your pick of any of the myriad statistics that exist in 2021 that are readily available for all to see. Some of them are even plus minus based. Hell, even the old ones like win shares or PER I would trust more than raw +/-. Its a bit like quoting RBI's on this board circa 2003 to argue about a batter's quality. Sure, it measures how well a player plays when they are up to bat but, from another perspective, who cares about RBIs?
If a player has consistently low RBI numbers even though he has a high number of opportunities with guys in scoring position, it does tell you something though. Just as if a guy has years worth of data (TL doesn't) and he has a consistent negative raw +/- it tells you something. It definitely doesn't tell you everything, but it does have its place
 

Cesar Crespo

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If a player has consistently low RBI numbers even though he has a high number of opportunities with guys in scoring position, it does tell you something though. Just as if a guy has years worth of data (TL doesn't) and he has a consistent negative raw +/- it tells you something. It definitely doesn't tell you everything, but it does have its place
That he's getting walked so the pitcher can face the guy after him?

What does it tell you?
 

the moops

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That he's getting walked so the pitcher can face the guy after him?

What does it tell you?
Perhaps. But then you look at his walk numbers to find out. I don't know, it would make you dig a little deeper though, and as a first glance stat it MAY tell you something. Just as +/- MAY tell you something. Really not looking for an argument here, FYI
 

Cesar Crespo

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Perhaps. But then you look at his walk numbers to find out. I don't know, it would make you dig a little deeper though, and as a first glance stat it MAY tell you something. Just as +/- MAY tell you something. Really not looking for an argument here, FYI
Why not just dig deeper in the first place? It's like OPS. OPS is a lazy garbage stat. There are other stats out there that tell you way more.

Any and all stats that narrow a players worth down to 1 number are junk in general.
 

Kliq

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Why not just dig deeper in the first place? It's like OPS. OPS is a lazy garbage stat. There are other stats out there that tell you way more.

Any and all stats that narrow a players worth down to 1 number are junk in general.
Isn't that literally every stat?
 

benhogan

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Not at all. I love TL and the player he's become. But seeing his +/- consistently poor as his role has expanded makes me wonder what's up with that. I thought that was the kind of thing people do around here. And I don't think because the people he's playing with are so poor, because with the exception of GW they all have a better +/-.

Sorry to interrupt the sploogefest.
You're not interrupting a TL sploogefest. You're just not taking into account how he is being used.

raw +/- doesn't take into account if Brad goes situational. I know you watch the games so you know RobWilliams is used quite a bit when they need a boost defensively.

How does +/- account/adjust if a player is brought in for defense for 24 seconds, then taken off the floor for offense?
 

DeJesus Built My Hotrod

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Why not just dig deeper in the first place? It's like OPS. OPS is a lazy garbage stat. There are other stats out there that tell you way more.

Any and all stats that narrow a players worth down to 1 number are junk in general.
Nobody should be looking at one metric in isolation but the bolded is incorrect. Junk implies no value and that simply isn't true. All statistics have limitations and the newer metrics are flawed. But the idea of distilling data down to a single impact metric isn't junk at all. Its a framework used across not just basketball or sports but in life. Its also not a new concept - its literally the underpinning of most economic systems.
 

RetractableRoof

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Nobody should be looking at one metric in isolation but the bolded is incorrect. Junk implies no value and that simply isn't true. All statistics have limitations and the newer metrics are flawed. But the idea of distilling data down to a single impact metric isn't junk at all. Its a framework used across not just basketball or sports but in life. Its also not a new concept - its literally the underpinning of most economic systems.
Um, maybe this sentence reinforces his point more than yours? lol Joking, kinda not really, a little bit - a lot of things about a lot of economic systems are a mess right now, and one could argue... well never mind. You get my joke I guess...
 

DeJesus Built My Hotrod

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Um, maybe this sentence reinforces his point more than yours? lol Joking, kinda not really, a little bit - a lot of things about a lot of economic systems are a mess right now, and one could argue... well never mind. You get my joke I guess...
I would argue that humans devising systems that allowed goods and labor to be denominated into single values has been pretty efficient and effective but YRMV.

Speaking only for myself, I welcome the ongoing attempts to more accurately measure and value performance. I was simply pointing out that referring to them as "junk in general" is just not right. Especially since most people in and around the league use this exact framework as a basis for their analytics.
 

RetractableRoof

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I would argue that humans devising systems that allowed goods and labor to be denominated into single values has been pretty efficient and effective but YRMV.

Speaking only for myself, I welcome the ongoing attempts to more accurately measure and value performance. I was simply pointing out that referring to them as "junk in general" is just not right. Especially since most people in and around the league use this exact framework as a basis for their analytics.
I accept your point on it's face, and just laugh uncomfortably/nervously at complex systems that are all pinned on 1 or 2 expectations or formulas - when many times those involved don't understand them. Like pension systems that are heavily invested in a derivative based fund that only 2 guys at MIT understand (exaggerating). Or a banking system knocked on his butt because of over reliance on the credit worthiness scores of borrowers (gross over simplification). We tend to build our complex systems like upside down pyramids atop singular metrics/ideas and without necessary safety mechanisms in a lot of cases.

In any event, I'm not disagreeing completely, and didn't mean to veer off to V&N or the Greed Emporium... just making a joke of sorts. Enjoy your day.
 

lexrageorge

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Nobody should be looking at one metric in isolation but the bolded is incorrect. Junk implies no value and that simply isn't true. All statistics have limitations and the newer metrics are flawed. But the idea of distilling data down to a single impact metric isn't junk at all. Its a framework used across not just basketball or sports but in life. Its also not a new concept - its literally the underpinning of most economic systems.
What we ideally want in sports are stats that are (a) reproducible; and (b) predictive.

The RBI, quoted above, easily passes (a), but fails miserably at (b). Most producers of high RBI are indeed good hitters as measured by other statistics, but there are too many variables outside the players' control in order to make any use of RBI when evaluating whether said player would be a good fit on the team. I would say the raw +/- falls in the same exact category, as does win shares.

Too many sports stats are black boxes. The NFL's QBR is a stat calculated by ESPN, and they've changed the way they've calculated the metric over the years. But nobody knows how. PFF grades are the same. A lot of the defensive stats in baseball are the same.

Given that the economy has existing in some form since Adam ate the stolen apple, we've had many more bites at the apple to find economic stats that meet the above criteria. And, while I'm not an economist, I have been told that some of the private forum fights about the utility of certain economic stats would make even the most hardened V&N posters blush.
 

slamminsammya

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What we ideally want in sports are stats that are (a) reproducible; and (b) predictive.

The RBI, quoted above, easily passes (a), but fails miserably at (b). Most producers of high RBI are indeed good hitters as measured by other statistics, but there are too many variables outside the players' control in order to make any use of RBI when evaluating whether said player would be a good fit on the team. I would say the raw +/- falls in the same exact category, as does win shares.

Too many sports stats are black boxes. The NFL's QBR is a stat calculated by ESPN, and they've changed the way they've calculated the metric over the years. But nobody knows how. PFF grades are the same. A lot of the defensive stats in baseball are the same.

Given that the economy has existing in some form since Adam ate the stolen apple, we've had many more bites at the apple to find economic stats that meet the above criteria. And, while I'm not an economist, I have been told that some of the private forum fights about the utility of certain economic stats would make even the most hardened V&N posters blush.
What does reproducible mean here? Isn't every statistic some deterministic computation? I don't understand. Or you mean there should be transparency into how its computed?

Speaking for myself but I know, or know where to find, exactly how every NBA stat I look at is computed. I avoid the black boxes because who knows what weird choices they may have made.
 

lexrageorge

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What does reproducible mean here? Isn't every statistic some deterministic computation? I don't understand. Or you mean there should be transparency into how its computed?

Speaking for myself but I know, or know where to find, exactly how every NBA stat I look at is computed. I avoid the black boxes because who knows what weird choices they may have made.
Transparency. If the calculation is a black box, then us ordinary mortals have no way to reproduce it given the data. Also, I'm not at all convinced that pure black box metrics are reproducible, given that they are subject to unannounced and undocumented methodology changes. Or, in some cases, they may be built on subjective measures such as whether the wide receiver should have caught the ball thrown 10 feet beyond the grasp of his outstretched arms.
 

chilidawg

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You're not interrupting a TL sploogefest. You're just not taking into account how he is being used.

raw +/- doesn't take into account if Brad goes situational. I know you watch the games so you know RobWilliams is used quite a bit when they need a boost defensively.

How does +/- account/adjust if a player is brought in for defense for 24 seconds, then taken off the floor for offense?
That happens what, once or twice a game at most? I'm guessing it doesn't really have much impact over a season.

I'm really not trying to argue that he is or isn't good, just pointing out that by some metrics the team hasn't been as good as his box score numbers would suggest (which is really damn good ) when he's on the floor. I think that's worth looking into. YMMV.
 

shoelace

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You're not interrupting a TL sploogefest. You're just not taking into account how he is being used.

raw +/- doesn't take into account if Brad goes situational. I know you watch the games so you know RobWilliams is used quite a bit when they need a boost defensively.

How does +/- account/adjust if a player is brought in for defense for 24 seconds, then taken off the floor for offense?
This is exactly right, TL is also going to be penalized for playing a lot of minutes with the bench in terms of raw plus/minus. His numbers with guys like Grant Williams and Javonte Green on the floor are terrible, which isn't his fault, it's a reflection of how bad some of the bench is. It just doesn't give you enough contextual information.

Most of the advanced metrics rate him out very favorably, though some more than others. RAPTOR doesn't like him as much as the LEBRON does, but I believe RAPTOR penalizes players for assisted field goals (and 70%+ of TL's field goals are assisted) as it values shot creation on offense more than dunks on lobs. There can definitely be debate on the utility of each metric when they have underlying assumptions like that. We can say that creating a shot on offense is more valuable than receiving a lob and dunking it, but I don't think the metric can encompass the vertical spacing threat that a guy like TL provides with his ability to catch the ball so far above the rim. In general though, I think that's a safe assumption, and an attempt to make a metric that doesn't overrate big men (as many of these metrics do, because they tend to have better rate stats than players at other positions) for having a high field goal percentage in comparison to a guard.

I feel like the issue with the way some of these all in one metrics are used is that some folks think they reflect true talent level or are generally predictive of future performance. I think what they can do is tell us a fair amount about past performance (and even that is complicated by the underlying assumptions of the person designing the metric and the box score inputs and the weights and such) in specific roles, especially over a large sample across multiple teams. I feel like people are being willfully ignorant when they point at an all in one stat that says some role player has a better number than a star player (like, and I'm pulling this out of my ass, Jae Crowder having a better RPM than Paul George or whatever) as proof that the stat sucks. The stat isn't saying that Jae Crowder is better than Paul George, it's saying that Jae Crowder (or whomever) is excelling in their very specific role.
 

slamminsammya

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This is exactly right, TL is also going to be penalized for playing a lot of minutes with the bench in terms of raw plus/minus. His numbers with guys like Grant Williams and Javonte Green on the floor are terrible, which isn't his fault, it's a reflection of how bad some of the bench is. It just doesn't give you enough contextual information.

Most of the advanced metrics rate him out very favorably, though some more than others. RAPTOR doesn't like him as much as the LEBRON does, but I believe RAPTOR penalizes players for assisted field goals (and 70%+ of TL's field goals are assisted) as it values shot creation on offense more than dunks on lobs. There can definitely be debate on the utility of each metric when they have underlying assumptions like that. We can say that creating a shot on offense is more valuable than receiving a lob and dunking it, but I don't think the metric can encompass the vertical spacing threat that a guy like TL provides with his ability to catch the ball so far above the rim. In general though, I think that's a safe assumption, and an attempt to make a metric that doesn't overrate big men (as many of these metrics do, because they tend to have better rate stats than players at other positions) for having a high field goal percentage in comparison to a guard.

I feel like the issue with the way some of these all in one metrics are used is that some folks think they reflect true talent level or are generally predictive of future performance. I think what they can do is tell us a fair amount about past performance (and even that is complicated by the underlying assumptions of the person designing the metric and the box score inputs and the weights and such) in specific roles, especially over a large sample across multiple teams. I feel like people are being willfully ignorant when they point at an all in one stat that says some role player has a better number than a star player (like, and I'm pulling this out of my ass, Jae Crowder having a better RPM than Paul George or whatever) as proof that the stat sucks. The stat isn't saying that Jae Crowder is better than Paul George, it's saying that Jae Crowder (or whomever) is excelling in their very specific role.
The value of shot creation has consistently been missed by nearly every "advanced" metric, although lately theres been a lot of work to make up for that. I still remember fondly the early days of basketball metrics when Allen Iverson became an overrated boogie man (lol) and Dennis Rodman was the GOAT.
 

wade boggs chicken dinner

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with regards to raw +/-, a couple of bad games for the team could have a negative effect on one person's numbers. For example, here are TL's plus +/- versus game results since he sat out the two games in Feb. His three worst games were also the three of the worst losses the Cs have had and no one blamed those losses on RW.

MEM L (-6) +1
ORL W (+16) -13
SAC L (-11) -6
CLE L (-7) -13
UTA L (-8) +4
HOU W (+27) +17
BRK L (-12) -13
TOR W (+7) -6
LAC W (+5) +3
WAS W (+1) -7
IND W (+6) +4
ATL L (-15) -20
DAL L (-3) -6
NOP L (-5) -2
ATL W (+12) +1
ATL L (-8) -7
DEN W (+13) +12
WAS L (-13) -1
 

shoelace

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The value of shot creation has consistently been missed by nearly every "advanced" metric, although lately theres been a lot of work to make up for that. I still remember fondly the early days of basketball metrics when Allen Iverson became an overrated boogie man (lol) and Dennis Rodman was the GOAT.
I'm with you, I think these stats are used inappropriately a lot of the time. Most of the time these stats are used in a message board context it is to justify peoples takes and prejudices. I know I'm guilty of this, I'm committed to the perspective that Tristan Thompson is a good, useful defensive player in many matchups, and his DLEBRON shows that this year. RAPTOR grades him out as worse than Semi and Teague. So, you know, that makes me skeptical of that metric. But, hey, I'm probably wrong. I'm just a message board dipshit.

They all have a specific, sort of limited use in player evaluation because they all have flaws and limitations and they can't (and don't claim to) the measure the fact that oftentimes good players on bad teams will look worse than they actually are and that some teams and systems can get better performance out of guys than others. These sorts of intangible (I know, a loaded word) things are real and focusing too much on analytics in player performance is misguided. I'd also assume most of these front offices have proprietary models that are tuned to fit what they value in players with respect to their specific systems, so these fan created ones can only tell us so much.
 

slamminsammya

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The metrics also don't have the full counterfactual picture for how lineups function which I think leads to a lot of the nonsense and over/undervaluing of things. In particular, the process generating lineups (coaching decisions, area expertise) is one that by nature will not produce turd sandwich combinations. So for example we never see the counterfactual 2000 76'ers where instead of Iverson jacking up tons of shots fairly inefficiently (in a global sense) we see Eric Snow, Aaron Mckie, and Dikembe Mutombo trying to shoulder the offensive load precisely because Larry Brown is not an idiot.

Getting all the data for the models to properly value those things would entail coaches doing lots of boneheaded decision making and that to me is the primary limitation on these things.
 

RetractableRoof

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The metrics also don't have the full counterfactual picture for how lineups function which I think leads to a lot of the nonsense and over/undervaluing of things. In particular, the process generating lineups (coaching decisions, area expertise) is one that by nature will not produce turd sandwich combinations. So for example we never see the counterfactual 2000 76'ers where instead of Iverson jacking up tons of shots fairly inefficiently (in a global sense) we see Eric Snow, Aaron Mckie, and Dikembe Mutombo trying to shoulder the offensive load precisely because Larry Brown is not an idiot.

Getting all the data for the models to properly value those things would entail coaches doing lots of boneheaded decision making and that to me is the primary limitation on these things.
In fairness, we do have some coaches trying to provide that data... :)

Stevens for example is providing a lot of 2 center combinations data this year... lol
 

TripleOT

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Mo Wagner has that “I want to punch him in his face” quality when he’s on the other team, Ainge-like.

Maybe he won’t play as nice with opponents as the rest of the Celtics
 

BaseballJones

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Transparency. If the calculation is a black box, then us ordinary mortals have no way to reproduce it given the data. Also, I'm not at all convinced that pure black box metrics are reproducible, given that they are subject to unannounced and undocumented methodology changes. Or, in some cases, they may be built on subjective measures such as whether the wide receiver should have caught the ball thrown 10 feet beyond the grasp of his outstretched arms.
My reply is to the group talking about basketball metrics, not a response to you personally or in particular. I just wanted to chime in and the conversation has moved a little from this.

I find this basketball stat discussion super interesting. It's really really hard to quantify certain things in sports like football or basketball. Let me give you an example from my daughter's college game last night. She's averaging about 20 a night for her D3 team (on about 13 FGA, so she's a very efficient scorer, especially for this level). There's a play late in the game, a close game. She's on the floor with a couple of kids who aren't very good (injuries and foul trouble has forced some deep bench players to get significant minutes). She is on the right wing and drives into the lane using her left hand (she's a lefty). The defense collapses. She's got a nice little lefty hook, but to shoot it would be in amongst all the traffic converging on her. Definitely a tough, contested shot. But she's a good scorer as I mentioned. But the player the D leaves open is one of these bench-type players wide open at the top of the key. My daughter's basketball instincts kick in and she dishes perfectly to the wide open player who promptly...throws up an air ball out of bounds.

The alternative, in that moment, would be for my daughter to take a contested shot, with a low probability of being made. But, I contend, still a higher probability than her wide open bench-level teammate making a three. From a general basketball approach, the pass to the wide open teammate for a free look at a three is the right play, as opposed to a challenged shot in traffic. But it was to a bad player, so even then the odds weren't great that she would make it.

So in this particular situation, the "right" play, in my mind, was for my daughter to take the contested shot. It would have lowered her shooting percentage most likely, and the basketball metrics would have graded that a bad play, but given which teammate was open, I still think I'd rather her take the contested shot than give it up for an almost certain miss by this particular teammate.

How in the world would basketball metrics determine whether my daughter made the right play or not? How would they determine whether her choice was a good one or bad one?
 

Cesar Crespo

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My reply is to the group talking about basketball metrics, not a response to you personally or in particular. I just wanted to chime in and the conversation has moved a little from this.

I find this basketball stat discussion super interesting. It's really really hard to quantify certain things in sports like football or basketball. Let me give you an example from my daughter's college game last night. She's averaging about 20 a night for her D3 team (on about 13 FGA, so she's a very efficient scorer, especially for this level). There's a play late in the game, a close game. She's on the floor with a couple of kids who aren't very good (injuries and foul trouble has forced some deep bench players to get significant minutes). She is on the right wing and drives into the lane using her left hand (she's a lefty). The defense collapses. She's got a nice little lefty hook, but to shoot it would be in amongst all the traffic converging on her. Definitely a tough, contested shot. But she's a good scorer as I mentioned. But the player the D leaves open is one of these bench-type players wide open at the top of the key. My daughter's basketball instincts kick in and she dishes perfectly to the wide open player who promptly...throws up an air ball out of bounds.

The alternative, in that moment, would be for my daughter to take a contested shot, with a low probability of being made. But, I contend, still a higher probability than her wide open bench-level teammate making a three. From a general basketball approach, the pass to the wide open teammate for a free look at a three is the right play, as opposed to a challenged shot in traffic. But it was to a bad player, so even then the odds weren't great that she would make it.

So in this particular situation, the "right" play, in my mind, was for my daughter to take the contested shot. It would have lowered her shooting percentage most likely, and the basketball metrics would have graded that a bad play, but given which teammate was open, I still think I'd rather her take the contested shot than give it up for an almost certain miss by this particular teammate.

How in the world would basketball metrics determine whether my daughter made the right play or not? How would they determine whether her choice was a good one or bad one?

THE NBA is not Women's D3. The quality of play is 1000 times better and even the bench scrubs are world class players.
In your situation, shooting would be the right play. In the NBA, passing would be correct.
 

BaseballJones

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THE NBA is not Women's D3. The quality of play is 1000 times better and even the bench scrubs are world class players.
In your situation, shooting would be the right play. In the NBA, passing would be correct.
No I get that obviously. Different game. But the point is, even in the NBA, it's not always clear. If you have, say, Marcus Smart open for three and Tatum driving to the rim, which is the "right" play? It's not JUST about their normal shooting percentages in that situation. It's which defender is converging on Tatum (huge difference between Gobert and, say, Montrezl Harrell). It's whether Smart's shooting mechanics are off or whether he's in rhythm. It's a lot of factors that metrics don't necessarily take into account.

To the point about bench scrubs being world class players...I saw a video last night of Scal (at a his age currently) going up against good high school players with size) who thought Scal was trash. He absolutely abused them.
 

lovegtm

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No I get that obviously. Different game. But the point is, even in the NBA, it's not always clear. If you have, say, Marcus Smart open for three and Tatum driving to the rim, which is the "right" play? It's not JUST about their normal shooting percentages in that situation. It's which defender is converging on Tatum (huge difference between Gobert and, say, Montrezl Harrell). It's whether Smart's shooting mechanics are off or whether he's in rhythm. It's a lot of factors that metrics don't necessarily take into account.

To the point about bench scrubs being world class players...I saw a video last night of Scal (at a his age currently) going up against good high school players with size) who thought Scal was trash. He absolutely abused them.
Yeah, that Scal video is hilarious, if it's the one from a few years ago. The gap between NBA scrubs and even very good HS/college guys is so vast, it's crazy.

The steelman case for metrics is that they take into account, over time, how often Tatum does make the correct decision, resulting in net team points. Obviously that's very noisy, however, and that's when the arguing starts.
 

lexrageorge

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No I get that obviously. Different game. But the point is, even in the NBA, it's not always clear. If you have, say, Marcus Smart open for three and Tatum driving to the rim, which is the "right" play? It's not JUST about their normal shooting percentages in that situation. It's which defender is converging on Tatum (huge difference between Gobert and, say, Montrezl Harrell). It's whether Smart's shooting mechanics are off or whether he's in rhythm. It's a lot of factors that metrics don't necessarily take into account.

To the point about bench scrubs being world class players...I saw a video last night of Scal (at a his age currently) going up against good high school players with size) who thought Scal was trash. He absolutely abused them.
I don't think any metric is necessarily usable when it comes to one single play. And that's true for any sport.

There was a baseball game several years ago when Jacoby Ellsbury stole home against Andy Pettite and the Yankees. Some posters on the Red Sox forum were absolutely furious that Ellsbury tried such a low percentage play. By the numbers, they were right. However, the metrics could not capture the fact that Pettite and the Yankees' defense completely ignored Ellsbury as he took a bigger and bigger lead off of 3rd base. The situation became essentially a free run, a run being baseball's most valued commodity, and Ellsbury took it. Situationally, it was inarguably the correct play.

What the metrics can capture is how often a player like Tatum makes the best percentage play. If he does it more often than not, the metrics should capture the Celtics being a more efficient offensive team when he is in the lineup. It just takes a lot of plays for the metrics to stabilize, and even then are subject to being perturbed due to a number of factors. Just like, over time, an MLB team that tries to steal bases (not just home) all the time, without regards to the caught stealing numbers, will score fewer runs.

Basketball and football are probably the hardest to quantify via metrics. Like any field, metrics can be used incorrectly.
 

lovegtm

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I don't think any metric is necessarily usable when it comes to one single play. And that's true for any sport.

There was a baseball game several years ago when Jacoby Ellsbury stole home against Andy Pettite and the Yankees. Some posters on the Red Sox forum were absolutely furious that Ellsbury tried such a low percentage play. By the numbers, they were right. However, the metrics could not capture the fact that Pettite and the Yankees' defense completely ignored Ellsbury as he took a bigger and bigger lead off of 3rd base. The situation became essentially a free run, a run being baseball's most valued commodity, and Ellsbury took it. Situationally, it was inarguably the correct play.

What the metrics can capture is how often a player like Tatum makes the best percentage play. If he does it more often than not, the metrics should capture the Celtics being a more efficient offensive team when he is in the lineup. It just takes a lot of plays for the metrics to stabilize, and even then are subject to being perturbed due to a number of factors. Just like, over time, an MLB team that tries to steal bases (not just home) all the time, without regards to the caught stealing numbers, will score fewer runs.

Basketball and football are probably the hardest to quantify via metrics. Like any field, metrics can be used incorrectly.
Basketball also has the really interesting confounding factor that postseason basketball is a completely different sport, both for strategy and effort, but you only get a small sample of it each year.

Baseball and football don’t have that property.
 

wade boggs chicken dinner

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Mar 26, 2005
30,820
That kid should have known he was going to be crushed as soon as Scalabrine put up his warmup shots.
Scal has like 4 inches and 50 pounds on the kid. It's super hard to play 1 v 1 with someone who is that much bigger than you because, as Scal did, they just take you down low and there's nothing you can do.
 

shoelace

Member
SoSH Member
Jun 24, 2019
269
Basketball also has the really interesting confounding factor that postseason basketball is a completely different sport, both for strategy and effort, but you only get a small sample of it each year.
I remember last season you were rightly pointing out that the Bucks were something of a bum hunting team and I think fans tend to ignore strength of schedule more than they should. Milwaukee's numbers made them look like they were more of a juggernaut than they were and that was borne out in the playoffs as well. Regular season stats and win totals also don't take into account the fact that winning playoff series is often heavily matchup dependent. So, if you have a player like Bam who can matchup favorably with Giannis, you can win that series.

I have been thinking about that this season, I'd be curious if it would be possible to measure COVID adjusted SOS and team performance, like which teams have benefited from racking up wins against teams that were short handed due to COVID and which teams have been hurt the most by COVID absences.
 

BigSoxFan

Member
SoSH Member
May 31, 2007
47,271
Scal has like 4 inches and 50 pounds on the kid. It's super hard to play 1 v 1 with someone who is that much bigger than you because, as Scal did, they just take you down low and there's nothing you can do.
Yeah. Nothing Scal did was impressive. He’s just a much bigger dude. He obviously has legit skills but these videos of him school this scrawny kid aren’t that exciting to me. Half this board would have taken this kid to school.
 

BaseballJones

ivanvamp
SoSH Member
Oct 1, 2015
24,767
Scal has like 4 inches and 50 pounds on the kid. It's super hard to play 1 v 1 with someone who is that much bigger than you because, as Scal did, they just take you down low and there's nothing you can do.
But he also buried a few threes. Scal is legitimately one of the very best basketball players in the entire world right now. He could travel almost anywhere and dominate almost anyone he went up against. Of course, he's compared to NBA players, and in that comparison he falls way short. Which is kind of the point - even NBA scrubs are ridiculously great at the game of basketball.

And, of course, the dude is 43 years old right now. And not in good shape.
 

lovegtm

Member
SoSH Member
Apr 30, 2013
12,253
I remember last season you were rightly pointing out that the Bucks were something of a bum hunting team and I think fans tend to ignore strength of schedule more than they should. Milwaukee's numbers made them look like they were more of a juggernaut than they were and that was borne out in the playoffs as well. Regular season stats and win totals also don't take into account the fact that winning playoff series is often heavily matchup dependent. So, if you have a player like Bam who can matchup favorably with Giannis, you can win that series.

I have been thinking about that this season, I'd be curious if it would be possible to measure COVID adjusted SOS and team performance, like which teams have benefited from racking up wins against teams that were short handed due to COVID and which teams have been hurt the most by COVID absences.
The COVID thing would be an interesting study, but it's super noisy, and would be hard to set cutoffs for things like "Tatum has lingering effects." One elite player matters so much to a team that a rough methodology could end up totally useless in this sample size.
 

Kenny F'ing Powers

posts way less than 18% useful shit
SoSH Member
Nov 17, 2010
14,479
My reply is to the group talking about basketball metrics, not a response to you personally or in particular. I just wanted to chime in and the conversation has moved a little from this.

I find this basketball stat discussion super interesting. It's really really hard to quantify certain things in sports like football or basketball. Let me give you an example from my daughter's college game last night. She's averaging about 20 a night for her D3 team (on about 13 FGA, so she's a very efficient scorer, especially for this level).
We know that's all you wanted to say. You just want to be a proud papa bragging about your kid. Were aware thatplays occur in every sport that cant be measured.

Hope your kid gets a scholarship or something, though. :)
 

Kenny F'ing Powers

posts way less than 18% useful shit
SoSH Member
Nov 17, 2010
14,479
Yeah. Nothing Scal did was impressive. He’s just a much bigger dude. He obviously has legit skills but these videos of him school this scrawny kid aren’t that exciting to me. Half this board would have taken this kid to school.
That kids every bit as tall as a 6'9 Scalabrine. I'd be surprised if more than 2 or 3 members here could even beat that kid, let alone take him to school.