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  #1  
Old 11-16-2021, 08:07 PM
BobC BobC is offline
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It’s been discussed several times, there isn’t a whole lot of genuine disagreement. We have a troll, people conflating personal favorite with best and doubling down and insisting they are the exact same thing, etc. There is not much actual disagreement on reasonable but differing standards of what greatness is. Some favor peak over longevity (Botha re very reasonable standards that not everyone is going to exactly agree on, nor should they) but the advanced stats lead to the same answer either way: Grove wins best 4 years, best 5 years, best 7 years, best 10 years, most total career value.
Hey G1911,

Don't go getting mad at me, but here's another example of how different people's views and meanings directly influence and change their responses to certain questions. In your post, the very last word you ended with was "value". That word alone can spark a whole separate world of conjecture and debate.

For example, in an earlier response in this thread in rebuttal to someone's comment saying WINS is a totally meaningless statistic, it was then asked exactly what is the one sole thing all MLB players are paid and play the game for, or what is really the main reason most all fans buy a ticket to attend or turn on the tube to watch a game and see their team do? And let me add one more, what is the one single thing that ultimately ends up deciding who is considered the champion baseball team every year? There is only one simple response that completely and accurately answers all those questions..........WIN!

And though baseball is a team sport and games are not solely decided by a single player, isn't it arguable that the starting pitcher on each side at the start of every MLB game ever played has potentially the greatest impact and influence on whether or not their team will win?

So does this at all influence your definition of "value"?

Last edited by BobC; 11-16-2021 at 08:14 PM.
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  #2  
Old 11-16-2021, 08:12 PM
Carter08 Carter08 is offline
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Hey G1911,

Don't go getting mad at me, but here's another example of how different people's views and meanings directly influence and change their responses to certain questions. In your post, the very last word you ended with was "value". That word alone can spark a whole separate world of conjecture and debate.

For example, in an earlier response in this thread in rebuttal to someone's comment saying WINS is a totally meaningless statistic, it was then asked exactly what is the one sole thing all MLB players are paid and play the game for, or what is really the main reason most all fans buy a ticket to attend or turn on the tube to watch a game? And let me add one more, what is the one single thing that ultimately ends up deciding who is considered the champion baseball team every year? There is only one simple response that completely and accurately answers all those questions..........WINS!

And though baseball is a team sport and games are not solely decided by a single player, isn't it arguable that the starting pitcher on each side in every MLB game ever played has potentially the greatest impact and influence on whether or not their team will win?

So does this at all influence your definition of "value"?
If you’re going with wins, come onboard the Spahn train! It’s not even close.
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  #3  
Old 11-16-2021, 08:31 PM
BobC BobC is offline
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If you’re going with wins, come onboard the Spahn train! It’s not even close.
Just trying to point out how different people can have different views, opinions, and definitions of things. Yet all the talk and debate about it still won't get a consensus answer. Also trying to help people to realize there might be different ways to view things, and maybe point to such that they hadn't considered before. They have to be open minded and receptive though. Oftentimes the way people react and respond in situations and debates like this tell you an awful lot about a person, the good, and most definitely the bad. But no names please!
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  #4  
Old 11-16-2021, 09:07 PM
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We need a metric that is independent of fielding, team strength, opposing team strength, stadium, and even result (not just of the game but of the pitch itself, after all you could throw a fabulous pitch and Hank Aaron might still hit it out). We need to focus solely on the pitch itself -- the quality of each pitch a pitcher threw during his career, with some appropriate mechanism to average or to assign relative weights to different ones. Any other metric has too many confounding variables.
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  #5  
Old 11-16-2021, 08:20 PM
G1911 G1911 is offline
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Hey G1911,

Don't go getting mad at me, but here's another example of how different people's views and meanings directly influence and change their responses to certain questions. In your post, the very last word you ended with was "value". That word alone can spark a whole separate world of conjecture and debate.

For example, in an earlier response in this thread in rebuttal to someone's comment saying WINS is a totally meaningless statistic, it was then asked exactly what is the one sole thing all MLB players are paid and play the game for, or what is really the main reason most all fans buy a ticket to attend or turn on the tube to watch a game and see their team do? And let me add one more, what is the one single thing that ultimately ends up deciding who is considered the champion baseball team every year? There is only one simple response that completely and accurately answers all those questions..........WIN!

And though baseball is a team sport and games are not solely decided by a single player, isn't it arguable that the starting pitcher on each side at the start of every MLB game ever played has potentially the greatest impact and influence on whether or not their team will win?

So does this at all influence your definition of "value"?
I don’t know why I would get at mad at you? I don’t think wins is a useful metric in the 5 inning starter era. It’s a decent point in the complete game era, as the stat pitchers were pitching too and predominated then alongside ERA. I think ERA, adjusted for park and league via ERA+, is a much better stat. I’ve never completely dismissed wins, it just has flaws. A pitcher who gives up 1 run in 9 innings will often lose when on a terrible team. Bob Friend was not a below average pitcher, for example.
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  #6  
Old 11-16-2021, 09:24 PM
BobC BobC is offline
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I don’t know why I would get at mad at you? I don’t think wins is a useful metric in the 5 inning starter era. It’s a decent point in the complete game era, as the stat pitchers were pitching too and predominated then alongside ERA. I think ERA, adjusted for park and league via ERA+, is a much better stat. I’ve never completely dismissed wins, it just has flaws. A pitcher who gives up 1 run in 9 innings will often lose when on a terrible team. Bob Friend was not a below average pitcher, for example.
Don't disagree with you at all, just throwing out different ways to maybe look at and interpret things out there. And I just wanted to make sure you didn't take me the wrong way in making friendly banter and conversation. LOL

And I get the thinking about how the 5 inning games nowadays change the overall perspective of WINs. But, would you agree or disagree that even if a starting pitcher only goes 5 - 6 innings anymore, how well they pitched and the situation when they left will generally still have a dramatic impact on the outcome of that game, and the decisions and choices of their manager, coaches, and teammates in finally deciding who wins? I'm wondering if the impact of shortened appearances by starting pitchers in the modern game on the final outcomes of their games started isn't being discounted too greatly? Problem is, this is one of those types of questions that there are no statistics for.

Too often people who rely solely on things like statistics and numbers to explain everything forget they're often dealing with other humans, where every single one of us is different, and many other not easily measured or immeasurable factors. In such cases, those that tend to rely on these single dimensional, one-sided types of arguments often seem to declare themselves the victors as they opine about how their views are the only ones really supported and that matter. You know, the classic "I'm right and you're wrong!" argument. I wonder if in reality such people don't just not really win as they'd have you believe, but actually turn out to be the biggest losers of all!
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  #7  
Old 11-16-2021, 10:30 PM
G1911 G1911 is offline
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Don't disagree with you at all, just throwing out different ways to maybe look at and interpret things out there. And I just wanted to make sure you didn't take me the wrong way in making friendly banter and conversation. LOL

And I get the thinking about how the 5 inning games nowadays change the overall perspective of WINs. But, would you agree or disagree that even if a starting pitcher only goes 5 - 6 innings anymore, how well they pitched and the situation when they left will generally still have a dramatic impact on the outcome of that game, and the decisions and choices of their manager, coaches, and teammates in finally deciding who wins? I'm wondering if the impact of shortened appearances by starting pitchers in the modern game on the final outcomes of their games started isn't being discounted too greatly? Problem is, this is one of those types of questions that there are no statistics for.

Too often people who rely solely on things like statistics and numbers to explain everything forget they're often dealing with other humans, where every single one of us is different, and many other not easily measured or immeasurable factors. In such cases, those that tend to rely on these single dimensional, one-sided types of arguments often seem to declare themselves the victors as they opine about how their views are the only ones really supported and that matter. You know, the classic "I'm right and you're wrong!" argument. I wonder if in reality such people don't just not really win as they'd have you believe, but actually turn out to be the biggest losers of all!
A pitcher has great impact on his team's winning or losing if he pitches 5 innings. The problem, I think, is that like almost every other stat that is based on a short event or short sequence of events, the Win is based on a full 9 innings, and when a pitcher throws half that, while his impact is significant, he is being credited or debited for things he didn't control.

In single events and small samples, even on good teams, wins and losses don't balance out fairly. Bob Gibson in 1968 was much greater than his 22-9 record would suggest. Hugh Mulcahy went 13-22 on a bad team in 1940, but his ERA was 8% better than the league. There are many other examples. The discrepancies today are even larger, DeGrom's 10-9, 1.70 season for prime example.

Over the course of a career, luck will generally balance out for a pitcher on a good team. It won't so much for a pitcher on a bad team. Nobody who sucks gets to make 363 decisions. Nobody who wins 363 games is 'above average, at best', but sorting the stat fields by wins and using that to rank pitchers is, I think, not very effective. The further down that list you go, the less properly ordered it gets.

Winning and losing has far more variables than the pitchers performance, even in a complete game. A guy with a 1.00 ERA can lose all his games because his teams offense sucks, which he has no control over. A pitchers job is to give up as few runs as possible, to give his teams offense the best chance of creating a win by needing to score less runs to win. I think contextual ERA is the most significant single stat. I'd disagree with many and put IP right up there next to it; the balance of "how much better were they than the league at not giving up runs?" and "how much did they pitch to give their team that benefit?". Spahn ain't no slouch in these metrics either, or any reasonable metric.

There are many valid arguments to be made, for multiple pitchers. Kershaw, Johnson, Spahn all have reasoned cases that can be made. Personally, I am biased in favor of Johnson, not Grove, but we should let actual numbers guide us and not our emotional leanings. I think the argument for Grove using so many different statistics that are generally recognized as key by fans, historians, and statisticians (yes, guess who invented all the modern ones putting Grove at the top?) make Grove's case far stronger than anyone else's. I'd love to hear a rational argument for Koufax that isn't "I have fond memories of him", "context is irrelevant", "baseball sucked before Koufax debut and his exact contemporaries suck because they are from the old days" and "I am infallible", and use reasoned, logical, contextual arguments to support the claim.

Last edited by G1911; 11-16-2021 at 10:30 PM.
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  #8  
Old 11-16-2021, 11:27 PM
BobC BobC is offline
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A pitcher has great impact on his team's winning or losing if he pitches 5 innings. The problem, I think, is that like almost every other stat that is based on a short event or short sequence of events, the Win is based on a full 9 innings, and when a pitcher throws half that, while his impact is significant, he is being credited or debited for things he didn't control.

In single events and small samples, even on good teams, wins and losses don't balance out fairly. Bob Gibson in 1968 was much greater than his 22-9 record would suggest. Hugh Mulcahy went 13-22 on a bad team in 1940, but his ERA was 8% better than the league. There are many other examples. The discrepancies today are even larger, DeGrom's 10-9, 1.70 season for prime example.

Over the course of a career, luck will generally balance out for a pitcher on a good team. It won't so much for a pitcher on a bad team. Nobody who sucks gets to make 363 decisions. Nobody who wins 363 games is 'above average, at best', but sorting the stat fields by wins and using that to rank pitchers is, I think, not very effective. The further down that list you go, the less properly ordered it gets.

Winning and losing has far more variables than the pitchers performance, even in a complete game. A guy with a 1.00 ERA can lose all his games because his teams offense sucks, which he has no control over. A pitchers job is to give up as few runs as possible, to give his teams offense the best chance of creating a win by needing to score less runs to win. I think contextual ERA is the most significant single stat. I'd disagree with many and put IP right up there next to it; the balance of "how much better were they than the league at not giving up runs?" and "how much did they pitch to give their team that benefit?". Spahn ain't no slouch in these metrics either, or any reasonable metric.

There are many valid arguments to be made, for multiple pitchers. Kershaw, Johnson, Spahn all have reasoned cases that can be made. Personally, I am biased in favor of Johnson, not Grove, but we should let actual numbers guide us and not our emotional leanings. I think the argument for Grove using so many different statistics that are generally recognized as key by fans, historians, and statisticians (yes, guess who invented all the modern ones putting Grove at the top?) make Grove's case far stronger than anyone else's. I'd love to hear a rational argument for Koufax that isn't "I have fond memories of him", "context is irrelevant", "baseball sucked before Koufax debut and his exact contemporaries suck because they are from the old days" and "I am infallible", and use reasoned, logical, contextual arguments to support the claim.
G1911,

Great comments and don't really disagree with anything you're saying. Many valid points to questions we can never definitively answer. Still think we may be discounting the wins too much, but not sure there's any statistical way to reconcile that and possibly make a more comparable and meaningful measure of this for different pitchers across different eras.

By the way, don't you find it at least a little refreshing to be able to rationally, intelligently, and civily discuss topics like this once in a while on this forum, where the parties act responsibly and are respectful of each other and behave like adults? I know I do, and appreciate being able to do so with others like yourself. Too bad that isn't always the case with some though...............
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Old 11-17-2021, 12:10 AM
G1911 G1911 is offline
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G1911,

Great comments and don't really disagree with anything you're saying. Many valid points to questions we can never definitively answer. Still think we may be discounting the wins too much, but not sure there's any statistical way to reconcile that and possibly make a more comparable and meaningful measure of this for different pitchers across different eras.

By the way, don't you find it at least a little refreshing to be able to rationally, intelligently, and civily discuss topics like this once in a while on this forum, where the parties act responsibly and are respectful of each other and behave like adults? I know I do, and appreciate being able to do so with others like yourself. Too bad that isn't always the case with some though...............
It sure is! Look at that, we can agree on the common sense that it is not completely worthless, and differ on the multiple reasoned judgements of just how much the win is worth, without absurd egotism and bizarre trolling.

I wonder which lefty had the best winning percentage compared to his teams winning percentage.
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Old 11-17-2021, 12:11 AM
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G1911,
By the way, don't you find it at least a little refreshing to be able to rationally, intelligently, and civily discuss topics like this once in a while on this forum, where the parties act responsibly and are respectful of each other and behave like adults? I know I do, and appreciate being able to do so with others like yourself. Too bad that isn't always the case with some though...............
Pot meet kettle. Dropping into these threads with an opposing view is like visiting the monkeys at the zoo who throw poop at people. Except this monkey throws back.
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Old 11-17-2021, 12:16 AM
G1911 G1911 is offline
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Pot meet kettle. Dropping into these threads with an opposing view is like visiting the monkeys at the zoo who throw poop at people. Except this monkey throws back.
Again, Koufax has had more supporters than any other candidate in this thread.
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Old 11-16-2021, 11:58 PM
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Don't disagree with you at all, just throwing out different ways to maybe look at and interpret things out there. And I just wanted to make sure you didn't take me the wrong way in making friendly banter and conversation. LOL

And I get the thinking about how the 5 inning games nowadays change the overall perspective of WINs. But, would you agree or disagree that even if a starting pitcher only goes 5 - 6 innings anymore, how well they pitched and the situation when they left will generally still have a dramatic impact on the outcome of that game, and the decisions and choices of their manager, coaches, and teammates in finally deciding who wins? I'm wondering if the impact of shortened appearances by starting pitchers in the modern game on the final outcomes of their games started isn't being discounted too greatly? Problem is, this is one of those types of questions that there are no statistics for.
Ignoring your personal attacks... I'd be remiss if I didn't point out that there ARE statistics that answer this question though. This is precisely what the entire field of statistics was developed for. The entire point of the mathematical discipline of statistics is to be able to make probabilistic estimates about the outcomes of future events using whatever data we have available. The more skilled you are as a statistician, the more accurate your predictions are. As far as your question goes about how much impact a SP has over final outcomes depending on how many innings he pitches, I assure you this exact problem is well understood. In fact it is extremely well understood. It is by far, the single most important factor in the models I build for betting on baseball games. It is also the single most important factor that the sports book handicappers use in their models when they set the betting lines. There are many other factors at play, but at the end of the day that entire industry is about predicting the outcomes of future events with data and statistical theory. And the casinos are pretty damn good at making predictions.

This is also how and why the entire field of sabermetrics was developed. People wanted to bet on baseball games but they quickly realized that the standard statistics that have been used for decades were not very useful for making predictions with because many of those stats are highly subject to luck. So they engineered new statistics that account for factors outside of an athlete's control and that focus in on what they actually have power over. The aspects of their game that are within an athlete's control are the only factors that have predictive power with respect to how well (or how poorly) they will perform in the future. Any statistic that cannot accurately predict future performance is a poor choice for evaluating one's skill level. Knowing that someone is hitting 0.375 at the all-star break tells us very little about how well he will hit for the rest of the season despite it being a seemingly large sample size of 350 at bats. A deceiving statistic like batting average is another great candidate for paving the way for another heated debate between a regular baseball fan and a statistician. One could ask "who is the best hitter this season?" and the casual fan will point to the guy with the 0.375 AVG, but the statistician looks deeper and points out that he benefited from having a 0.430 BABIP while player B is hitting 0.369 with a 0.300 BABIP. In this case, player B would be the clearly better hitter despite having the lower batting average since BABIP is useful for understanding how much of a role luck played in their performances.

People keep talking about wins here as ultimately being the only thing that matters. I agree. Winning games is what matters most. That's why we statisticians use Wins as the dependent (or target) variable in our predictive models. But the difference is that you guys seem to be conflating the "wins" statistic that is awarded to a pitcher with the actual wins and losses which can only be attributed to the teams. These are not the same thing. A pitcher cannot win a game. Assigning them "wins" and "losses" has always been a bad measure of performance. Not just in the modern era. And it turns out that a pitcher's win-loss record is actually an extremely poor predictor of a team's likelihood of winning a game. And furthermore that in the presence of other statistics, it is in fact not predictive at all of their likelihood of winning a game. This is why it is a poor measure of performance. It tells you nothing at all about how well they pitched or are likely to pitch in the next game. It only tells you what the outcome was of a set of prior games. If you want to know how "good" a pitcher (or hitter) is, then you have to look at statistics that only they can control. Otherwise, you're looking at how lucky or unlucky they got rather than how well they performed. This is the job of the statistician. To find the signal in the noise. To control for factors outside of their control. To remove elements of luck.

I find it humorous that when I posted in the thread about the role of artificial intelligence in grading cards that everyone praised and valued my inputs when it seemed to reinforce their views about grading. But when my views are shared here, where they are in conflict with the majority opinion, everyone shits on me.
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Old 11-17-2021, 12:15 AM
G1911 G1911 is offline
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Ignoring your personal attacks...

I find it humorous that when I posted in the thread about the role of artificial intelligence in grading cards that everyone praised and valued my inputs when it seemed to reinforce their views about grading. But when my views are shared here, where they are in conflict with the majority opinion, everyone shits on me.

Fantastic, so can you now make a sabrmetric argument for Koufax? Most of them don’t put Koufax very highly at all. No? Just trolling?

Also if you read the thread you would know Koufax has actually had the most supporters, and his detractors have spent nearly a thousand posts requesting a mathematical argument for him. Everyone shits on you because you declared yourself God, refused to make a coherent argument, insisted on your infallibility while refusing to make any specific actual support for your bizarre statements, and then insulted everyone.

At least I’ve only insulted your argument, not your person. You sure can’t say the same. Stones in glass houses complaint here.

Last edited by G1911; 11-17-2021 at 12:18 AM.
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Old 11-17-2021, 12:45 AM
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Fantastic, so can you now make a sabrmetric argument for Koufax? Most of them don’t put Koufax very highly at all. No? Just trolling?

Also if you read the thread you would know Koufax has actually had the most supporters, and his detractors have spent nearly a thousand posts requesting a mathematical argument for him. Everyone shits on you because you declared yourself God, refused to make a coherent argument, insisted on your infallibility while refusing to make any specific actual support for your bizarre statements, and then insulted everyone.

At least I’ve only insulted your argument, not your person. You sure can’t say the same. Stones in glass houses complaint here.
Link?
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Old 11-17-2021, 12:46 AM
G1911 G1911 is offline
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Link?
The link to where you did this is the thread you are posting in. Your trolling has hit rock bottom now I see.
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Old 11-17-2021, 06:35 PM
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Ignoring your personal attacks... I'd be remiss if I didn't point out that there ARE statistics that answer this question though. This is precisely what the entire field of statistics was developed for. The entire point of the mathematical discipline of statistics is to be able to make probabilistic estimates about the outcomes of future events using whatever data we have available. The more skilled you are as a statistician, the more accurate your predictions are. As far as your question goes about how much impact a SP has over final outcomes depending on how many innings he pitches, I assure you this exact problem is well understood. In fact it is extremely well understood. It is by far, the single most important factor in the models I build for betting on baseball games. It is also the single most important factor that the sports book handicappers use in their models when they set the betting lines. There are many other factors at play, but at the end of the day that entire industry is about predicting the outcomes of future events with data and statistical theory. And the casinos are pretty damn good at making predictions.

This is also how and why the entire field of sabermetrics was developed. People wanted to bet on baseball games but they quickly realized that the standard statistics that have been used for decades were not very useful for making predictions with because many of those stats are highly subject to luck. So they engineered new statistics that account for factors outside of an athlete's control and that focus in on what they actually have power over. The aspects of their game that are within an athlete's control are the only factors that have predictive power with respect to how well (or how poorly) they will perform in the future. Any statistic that cannot accurately predict future performance is a poor choice for evaluating one's skill level. Knowing that someone is hitting 0.375 at the all-star break tells us very little about how well he will hit for the rest of the season despite it being a seemingly large sample size of 350 at bats. A deceiving statistic like batting average is another great candidate for paving the way for another heated debate between a regular baseball fan and a statistician. One could ask "who is the best hitter this season?" and the casual fan will point to the guy with the 0.375 AVG, but the statistician looks deeper and points out that he benefited from having a 0.430 BABIP while player B is hitting 0.369 with a 0.300 BABIP. In this case, player B would be the clearly better hitter despite having the lower batting average since BABIP is useful for understanding how much of a role luck played in their performances.

People keep talking about wins here as ultimately being the only thing that matters. I agree. Winning games is what matters most. That's why we statisticians use Wins as the dependent (or target) variable in our predictive models. But the difference is that you guys seem to be conflating the "wins" statistic that is awarded to a pitcher with the actual wins and losses which can only be attributed to the teams. These are not the same thing. A pitcher cannot win a game. Assigning them "wins" and "losses" has always been a bad measure of performance. Not just in the modern era. And it turns out that a pitcher's win-loss record is actually an extremely poor predictor of a team's likelihood of winning a game. And furthermore that in the presence of other statistics, it is in fact not predictive at all of their likelihood of winning a game. This is why it is a poor measure of performance. It tells you nothing at all about how well they pitched or are likely to pitch in the next game. It only tells you what the outcome was of a set of prior games. If you want to know how "good" a pitcher (or hitter) is, then you have to look at statistics that only they can control. Otherwise, you're looking at how lucky or unlucky they got rather than how well they performed. This is the job of the statistician. To find the signal in the noise. To control for factors outside of their control. To remove elements of luck.

I find it humorous that when I posted in the thread about the role of artificial intelligence in grading cards that everyone praised and valued my inputs when it seemed to reinforce their views about grading. But when my views are shared here, where they are in conflict with the majority opinion, everyone shits on me.
So what did your statistics predict that Koufax would do in 1967??? That's the big hangup with Sandy - he didn't pitch long enough for many to consider him the best left-handed pitcher in MLB. Just how short does the window need to be before you deem it 'too short'? Four years? Two years? A single season? A single game? One pitch?? To me, if you are going to be considered 'the best', you've got to balance peak with longevity. Integrate under the curve.
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