Educate me in baseball sabermetrics

[nilodnayr]

I've learned alot about sabr stats from this very site. I'm not affluent in many of them though. Last years playoff series vs. the d-bags made me somewhat despondent from sabr, as everything you could think of favored the Cubs, and there was really no logical reason the Cubs didn't instead sweep the d-bags.

 

 

Well that should be the very reason why you should learn sabermetics, not shun them. With sabermetrics you learn about sample size that explains that series.

[MasterBlaster]

I've learned alot about sabr stats from this very site. I'm not affluent in many of them though. Last years playoff series vs. the d-bags made me somewhat despondent from sabr, as everything you could think of favored the Cubs, and there was really no logical reason the Cubs didn't instead sweep the d-bags.

 

 

Well that should be the very reason why you should learn sabermetics, not shun them. With sabermetrics you learn about sample size that explains that series.

 

'Shun' isn't even close to describing how I view sabr. I like the stats, but they are not absolute and only explain results, not necessarily predict.

[Tracer Bullet]

I've learned alot about sabr stats from this very site. I'm not affluent in many of them though. Last years playoff series vs. the d-bags made me somewhat despondent from sabr, as everything you could think of favored the Cubs, and there was really no logical reason the Cubs didn't instead sweep the d-bags.

 

 

Well that should be the very reason why you should learn sabermetics, not shun them. With sabermetrics you learn about sample size that explains that series.

 

'Shun' isn't even close to describing how I view sabr. I like the stats, but they are not absolute and only explain results, not necessarily predict.

 

What do you use to predict player/team performance?

[Vanilla Ice]

can we get this moved to the front page article discussion so Meph can weigh-in?

[MasterBlaster]

I've learned alot about sabr stats from this very site. I'm not affluent in many of them though. Last years playoff series vs. the d-bags made me somewhat despondent from sabr, as everything you could think of favored the Cubs, and there was really no logical reason the Cubs didn't instead sweep the d-bags.

 

 

Well that should be the very reason why you should learn sabermetics, not shun them. With sabermetrics you learn about sample size that explains that series.

 

'Shun' isn't even close to describing how I view sabr. I like the stats, but they are not absolute and only explain results, not necessarily predict.

 

What do you use to predict player/team performance?

 

Well, I'm not betting on baseball, so I tend not to predict results. I don't see much value in personally spending copious amounts of time studying the deeper statistics, in order to predict an outcome of a baseball game. I have no use for that. I just listen/watch the game and hope my Cubs win. Stats are useful for fantasy baseball though.

 

I think a manager should use stats to make lineups of course, and not go with gut feelings. However, something that bothers me is when stats betray us (like last years playoff series vs the D-backs), it's simply written off as 'fluke' or 'small sample size', which has just as much justification as a good excuse as gut feelings or hunches.

[jersey cubs fan]

I've learned alot about sabr stats from this very site. I'm not affluent in many of them though. Last years playoff series vs. the d-bags made me somewhat despondent from sabr, as everything you could think of favored the Cubs, and there was really no logical reason the Cubs didn't instead sweep the d-bags.

 

 

Well that should be the very reason why you should learn sabermetics, not shun them. With sabermetrics you learn about sample size that explains that series.

 

'Shun' isn't even close to describing how I view sabr. I like the stats, but they are not absolute and only explain results, not necessarily predict.

 

What do you use to predict player/team performance?

 

Well, I'm not betting on baseball, so I tend not to predict results. I don't see much value in personally spending copious amounts of time studying the deeper statistics, in order to predict an outcome of a baseball game. I have no use for that. I just listen/watch the game and hope my Cubs win. Stats are useful for fantasy baseball though.

 

I think a manager should use stats to make lineups of course, and not go with gut feelings. However, something that bothers me is when stats betray us (like last years playoff series vs the D-backs), it's simply written off as 'fluke' or 'small sample size', which has just as much justification as a good excuse as gut feelings or hunches.

 

The whole point is that while baseball, as a game played out over 6 months of 162 games, is fairly predictable, any one game, or a series of 3, 5 or 7 games, is entirely unpredictable. Every manager and general manager damn well better use stats to build and run their ballclub. There's no need for any fan to do so, unless they really have a passion for how things work and why.

 

And no, the notion of gut feelings and hunches are not as good as an excuse as small sample sizes.

[CubinNY]

Just to educate;

 

"Sample size" means that there are not enough data to make a prediction or that the prediction is based on limited data and therefore likely to be wrong.

 

"Although the sample size is small, Pie looks like the typical AAAA guy".

 

"Gut" means the person probably is lazy or has no interest in learning.

 

"My gut tells me that Pie is an AAAA player".

[nilodnayr]

I've learned alot about sabr stats from this very site. I'm not affluent in many of them though. Last years playoff series vs. the d-bags made me somewhat despondent from sabr, as everything you could think of favored the Cubs, and there was really no logical reason the Cubs didn't instead sweep the d-bags.

 

 

Well that should be the very reason why you should learn sabermetics, not shun them. With sabermetrics you learn about sample size that explains that series.

 

'Shun' isn't even close to describing how I view sabr. I like the stats, but they are not absolute and only explain results, not necessarily predict.

 

What do you use to predict player/team performance?

 

Well, I'm not betting on baseball, so I tend not to predict results. I don't see much value in personally spending copious amounts of time studying the deeper statistics, in order to predict an outcome of a baseball game. I have no use for that. I just listen/watch the game and hope my Cubs win. Stats are useful for fantasy baseball though.

 

I think a manager should use stats to make lineups of course, and not go with gut feelings. However, something that bothers me is when stats betray us (like last years playoff series vs the D-backs), it's simply written off as 'fluke' or 'small sample size', which has just as much justification as a good excuse as gut feelings or hunches.

 

How did "stats" betray us?

[snoodmonger]

I've learned alot about sabr stats from this very site. I'm not affluent in many of them though. Last years playoff series vs. the d-bags made me somewhat despondent from sabr, as everything you could think of favored the Cubs, and there was really no logical reason the Cubs didn't instead sweep the d-bags.

 

 

Well that should be the very reason why you should learn sabermetics, not shun them. With sabermetrics you learn about sample size that explains that series.

 

'Shun' isn't even close to describing how I view sabr. I like the stats, but they are not absolute and only explain results, not necessarily predict.

 

What do you use to predict player/team performance?

 

Well, I'm not betting on baseball, so I tend not to predict results. I don't see much value in personally spending copious amounts of time studying the deeper statistics, in order to predict an outcome of a baseball game. I have no use for that. I just listen/watch the game and hope my Cubs win. Stats are useful for fantasy baseball though.

 

I think a manager should use stats to make lineups of course, and not go with gut feelings. However, something that bothers me is when stats betray us (like last years playoff series vs the D-backs), it's simply written off as 'fluke' or 'small sample size', which has just as much justification as a good excuse as gut feelings or hunches.

 

How did "stats" betray us?

 

"Stats" must be a nickname for Augie Ojeda.