Jump to content

One Obvious Move Completed - Analytics Overhauled


Texsox

Recommended Posts

7 minutes ago, Lip Man 1 said:

Perhaps the White Sox for once should try to "break" the trend. It may lead to getting very valuable talent and lead to on-field advantages. 

It could be a huge competitive advantage if they paid normal industry rates. I wonder if there's collusion amongst teams on this, though.

  • Like 1
Link to comment
Share on other sites

3 hours ago, southsider2k5 said:

Others who have jobs in baseball can comment, but entry level jobs in baseball are TONS of work, horrible hours and somewhere between low and no pay.

For example, the pay was $500 and an apartment to work for the Red Sox back nearly thirty years ago...as an intern out of grad school from a competitive sports management graduate program.

Turning that down to work for a minor league team with a better title and the ability to generate more salary through sales of tickets, event sponsorships, and billboard and program ads was the wrong choice now looking back.

Edited by caulfield12
Link to comment
Share on other sites

10 hours ago, almagest said:

It could be a huge competitive advantage if they paid normal industry rates. I wonder if there's collusion amongst teams on this, though.

Interesting idea re: collusion. My thinking is that we overexaggerate the importance of "analytics" and it doesn't impact winning as much as we think. I'm pretty sure the main "projection" Fangraphs and ESPN use was developed by some high school students. Why isn't there an army of PhD students and post-docs producing baseball advanced stats for free? My thinking is that there isn't much there. Which is to say, I sort of doubt that if teams hired a team of PhD statisticians, they would be able to develop any useful and novel metrics. I think a team of scouts with GEDs are probably better equipped at the job.

There is definitely use in visualizing data for easy digestion by players and staff, ie developing hot/cold zone charts for hitters or showing the trajectory of various pitch types...but that isn't highly-paid work. I don't know what the industry standard is, but I assume it's low.

Then again, there is relatively new data to look at...the Statcast cameras...that could probably tell you a lot. That's probably the competitive advantage, making that data into something useful. I assume the product that Statcast sells already does that though. And does it tell you anything that a hitting coach couldn't? What's the salary of the guy who interprets Statcast data? I can't imagine it's super high.

I think biomechanics...physics generally... and kinesiology are probably more useful fields to apply to baseball than statistics TBH. I also like the Tom House approach of having an illustrious baseball career then doing a PhD and applying it to coaching. An 'analytics' guy like that probably commands a high salary.

Link to comment
Share on other sites

12 minutes ago, nrockway said:

Interesting idea re: collusion. My thinking is that we overexaggerate the importance of "analytics" and it doesn't impact winning as much as we think. I'm pretty sure the main "projection" Fangraphs and ESPN use was developed by some high school students. Why isn't there an army of PhD students and post-docs producing baseball advanced stats for free? My thinking is that there isn't much there. Which is to say, I sort of doubt that if teams hired a team of PhD statisticians, they would be able to develop any useful and novel metrics. I think a team of scouts with GEDs are probably better equipped at the job.

There is definitely use in visualizing data for easy digestion by players and staff, ie developing hot/cold zone charts for hitters or showing the trajectory of various pitch types...but that isn't highly-paid work. I don't know what the industry standard is, but I assume it's low.

Then again, there is relatively new data to look at...the Statcast cameras...that could probably tell you a lot. That's probably the competitive advantage, making that data into something useful. I assume the product that Statcast sells already does that though. And does it tell you anything that a hitting coach couldn't? What's the salary of the guy who interprets Statcast data? I can't imagine it's super high.

I think biomechanics...physics generally... and kinesiology are probably more useful fields to apply to baseball than statistics TBH. I also like the Tom House approach of having an illustrious baseball career then doing a PhD and applying it to coaching. An 'analytics' guy like that probably commands a high salary.

Amazing what you think analyst's do. 

Link to comment
Share on other sites

We somehow think this is the holy grail but even the bad teams do the "right" things.

You still need gifted people in decision making and development.  Getz is not one of them.  His only skill might be the JR listens to him. He is the Grifol of GMs.  Only the White Sox promote a person who failed in their previous role.

Link to comment
Share on other sites

More important than having a top notch analytics group is having structures that implement the findings.

 

There are 1000s of great baseball analysts out there who can do great work. There are still differences in quality of analytics but the key point is how it is implemented in scouting and coaching.

What makes the really good orgs good is not that they are super cutting edge but that they are very good in communicating and implementing it across the whole Organisation.

I read some posts by drivelines Kyle boddy a couple years ago where he claimed in some orgs reports by the analytics department are put into the bin without being read. Or slightly better but still bad others where the reports are being read and then guy reading it says "cool, that's interesting, now what should I do with it?"

 

What will make or break the sox is not hiring a couple smart guys but having leadership implementing structures that forces everyone to actually implement the stuff.

The sox did hire some smart guys in the past like for example Ryan Johansen who is a biomechanics expert but it clearly wasn't implemented as many of the sox hitters had a groundball, opposite field focused approach with a lot of chase.

When the sox want to do it better this time they need to create better implementation structures and remove structures where old school coaches are laughing off analytics and just continue their way

Edited by Dominikk85
  • Like 2
Link to comment
Share on other sites

41 minutes ago, Dominikk85 said:

The rich get richer, dodgers hired the probably best public pitching analyst max Bay (guy who modeled stuff + for eno sarris)

 

https://x.com/choice_fielder/status/1853480735770050680?t=zVpZ34k9CzB5J4aka2ZNFQ&s=19

But does he know how to use the latest data modeling technology like our guys?  Just you wait and see…

depositphotos_46591763-stock-photo-teach

Link to comment
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

  • Recently Browsing   0 members

    • No registered users viewing this page.
×
×
  • Create New...