Huskers Joining the Stats Revolution
- Thread starter Saunders
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ColoradoHusk
Heisman Trophy Winner
BigRedBuster
International Man of Mystery
Cool. I love statistics and think (as long last you step back and also see the big picture) a manager can't have too many stats at his disposal to manage.
I'm sure I'll print off his dissertation and read it in the evenings.
I'm sure I'll print off his dissertation and read it in the evenings.
BigRedBuster
International Man of Mystery
Interesting.....I agree with him that it can be abused and over used while ignoring the human factor and big picture. But, that's the case with a lot of things.
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FABIAN WASHINGTONVerified account@FABEWASH31
My school (Nebraska) has hired an analytics analyst, I'm not a fan of this at all. Analytics forget about the guys are humans not robots.
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FABIAN WASHINGTONVerified account@FABEWASH31My school (Nebraska) has hired an analytics analyst, I'm not a fan of this at all. Analytics forget about the guys are humans not robots.
Mierin
Assistant Coach
*rolleyes* (at him not you)Follow
My school (Nebraska) has hired an analytics analyst, I'm not a fan of this at all. Analytics forget about the guys are humans not robots.
They're a tool to use. A great one in fact. One that no program that can afford it should not use.
NUance
Assistant Coach
I envision this effort as being similar to Billy Beane of the Oakland Athetics and his sabermetric approach towards drafting baseball players. ("Moneyball" by Michael Lewis.) Billy Bean and his statistician Paul DePodesta (the Jonah Hill character) drafted and traded for guys on the cheap who could play ball but did *not* fit the mold of prototype ball players. Like Scott Hatteberg, the injured catcher who could hit but couldn't throw anymore. (They turned him into a first baseman, where he didn't need to throw as much.) Or Chad Bradford, the freakish sidearm pitcher. LINK Or the fat guy at the end who was a crazy good hitter, but couldn't run.Interesting.....I agree with him that it can be abused and over used while ignoring the human factor and big picture. But, that's the case with a lot of things.
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My school (Nebraska) has hired an analytics analyst, I'm not a fan of this at all. Analytics forget about the guys are humans not robots.
In other words, the sabermetric approach overlooks freakish traits and statistical norms to get guys who perform. Like recruiting a RB who runs a 4.9 forty but always seems to gain yardage. Or a 250 lb O-lineman who somehow is able to block bigger guys. (I just made up those two examples.)
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Mierin
Assistant Coach
That's one of thousands of other things they could end up doing in a much improved way from what they were doing before. I'm sure they'll improve on analyzing all of the weightlifting data too. I don't know how connected this is with the brain research stuff but here's a dissertation from someone else in the stats department:I envision this effort as being similar to Billy Beane of the Oakland Athetics and his sabermetric approach towards drafting baseball players. ("Moneyball" by Michael Lewis.) Billy Bean and his statistician Paul DePodesta (the Jonah Hill character) drafted and traded for guys on the cheap who could play ball but did *not* fit the mold of prototype ball players. Like Scott Hatteberg, the injured catcher who could hit but couldn't throw anymore. (They turned him into a first baseman, where he didn't need to throw as much.) Or Chad Bradford, the freakish sidearm pitcher. LINK Or the fat guy at the end who was a crazy good hitter, but couldn't run.Interesting.....I agree with him that it can be abused and over used while ignoring the human factor and big picture. But, that's the case with a lot of things.
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My school (Nebraska) has hired an analytics analyst, I'm not a fan of this at all. Analytics forget about the guys are humans not robots.
In other words, the sabermetric approach overlooks freakish traits and statistical norms to get guys who perform. Like recruiting a RB who runs a 4.9 forty but always seems to gain yardage. Or a 250 lb O-lineman who somehow is able to block bigger guys. (I just made up those two examples.)
http://digitalcommons.unl.edu/dissertations/AAI3689706/
"National awareness of Traumatic Brain Injuries (TBI) has recently increased due to higher incidence among military personnel, as well as to high profile lawsuits and rule-changes in North American professional sports. TBI affect both short-term and long-term brain and behavior mechanisms associated with cognitive deficits which are commonly measured using Event-Related Potential (ERP) data. Unfortunately, sophisticated methodology for ERP data analysis has not yet been established. In this dissertation, I present novel approaches to modeling ERP data in the context of spatio-temporal Gaussian random fields with the purpose of aiding TBI diagnosis in college athletes."
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NUance
Assistant Coach
Yeah, the sabermetrics I mention is but one of dozens of uses for statistics in football (or any other sport).That's one of thousands of other things they could end up doing in a much improved way from what they were doing before. I'm sure they'll improve on analyzing all of the weightlifting data too. I don't know how connected this is with the brain research stuff but here's a dissertation from someone else in the stats department:I envision this effort as being similar to Billy Beane of the Oakland Athetics and his sabermetric approach towards drafting baseball players. ("Moneyball" by Michael Lewis.) Billy Bean and his statistician Paul DePodesta (the Jonah Hill character) drafted and traded for guys on the cheap who could play ball but did *not* fit the mold of prototype ball players. Like Scott Hatteberg, the injured catcher who could hit but couldn't throw anymore. (They turned him into a first baseman, where he didn't need to throw as much.) Or Chad Bradford, the freakish sidearm pitcher. LINK Or the fat guy at the end who was a crazy good hitter, but couldn't run.Interesting.....I agree with him that it can be abused and over used while ignoring the human factor and big picture. But, that's the case with a lot of things.
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My school (Nebraska) has hired an analytics analyst, I'm not a fan of this at all. Analytics forget about the guys are humans not robots.
In other words, the sabermetric approach overlooks freakish traits and statistical norms to get guys who perform. Like recruiting a RB who runs a 4.9 forty but always seems to gain yardage. Or a 250 lb O-lineman who somehow is able to block bigger guys. (I just made up those two examples.)
http://digitalcommons.unl.edu/dissertations/AAI3689706/
"National awareness of Traumatic Brain Injuries (TBI) has recently increased due to higher incidence among military personnel, as well as to high profile lawsuits and rule-changes in North American professional sports. TBI affect both short-term and long-term brain and behavior mechanisms associated with cognitive deficits which are commonly measured using Event-Related Potential (ERP) data. Unfortunately, sophisticated methodology for ERP data analysis has not yet been established. In this dissertation, I present novel approaches to modeling ERP data in the context of spatio-temporal Gaussian random fields with the purpose of aiding TBI diagnosis in college athletes."
If you haven't seen Moneyball or read the book, I'd highly recommend them both. Read the book first if you can. It provides a lot of insight into the movie. (It was practically required reading in the Pentagon a few years back. lol)