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re: Who thinks maybe JJ should consider
Posted on 4/20/26 at 4:19 pm to ProjectP2294
Posted on 4/20/26 at 4:19 pm to ProjectP2294
quote:
The pitcher's inability to locate
I'd be happy if they kept the ball inside 3ft of home plate.
Posted on 4/20/26 at 4:25 pm to OceanMan
Care to guess the top 6 teams in wins in MLB for the last decade? Guess what? 5 of the 6 teams are the most heavy analytical leaning organizations in the league. Dodgers, Astros, Guardians, Brewers, Braves. The Yankees are 3rd but they’re starting to play the analytical game a lot more. In football the “analytics” are right. Where does it say it will work 100% of the time? All analytics do is give you percentages of what will happen. Are you a take the underdog straight up kind of bettor? Because that’s what it would be like going against analytics. Will it always work? No….but over the course of a long season the percentages will match, and if you choose the analytical decision you’ll be right more often than not. Over time the analytical decisions of when to go for it and when to punt WILL change….it will change because humans (other teams) will change to counter the analytical decision to give them an advantage.
Posted on 4/20/26 at 4:42 pm to YoungSteele830
quote:
The point of this analytics boom was never to get every single decision right. That’s impossible with any approach. They’re trying to get better over the long haul, if they even get 1% better long term because of it then it’s a success.
It would be impossible to attribute a 1% marginal increase to basically anything. In my opinion you are basically highlighting the issues with analytics
Posted on 4/20/26 at 4:48 pm to LSUtigerNVegas9
quote:
5 of the 6 teams are the most heavy analytical leaning organizations in the league.
Ok…not sure how exactly “heavy analytical leaning organizations” are defined, but I’m sure there’s an analytic for that.
quote:
In football the “analytics” are right.
Oh ok great. Good to know.
This is another person swearing by analytics with a very non analytical answer.
Posted on 4/20/26 at 4:49 pm to LSUtigerNVegas9
quote:
Care to guess the top 6 teams in wins in MLB for the last decade? Guess what? 5 of the 6 teams are the most heavy analytical leaning organizations in the league.
But wouldn't they (MLB) have a much greater volume of data to inform their analytics than will be available on college players?
I think it would mess with hitters to have the middle infielders be in motion in-pitch.
Posted on 4/20/26 at 4:51 pm to AlwysATgr
quote:
But wouldn't they (MLB) have a much greater volume of data to inform their analytics than will be available on college players?
More and better data about more consistent performers.
Posted on 4/20/26 at 5:38 pm to OceanMan
not sure how exactly “heavy analytical leaning organizations” are defined,
Basically, quantify how much it cost you per win and still compete. Low payroll teams like the Brewers, Rays, and Guardians and still consistently make the playoffs or contend for a playoff spot. Or teams like the Astros or Dodgers before Covid whose whole team building identity is through the draft or trades, or the waiver wire looking for specific advanced metrics (Astros: Colin McHugh, Framber Valdez, Lance McCullers…spin rate on their curveballs) in the players they draft or acquire through trades. Those are also going to be the teams who shift the most. Care to guess why? Because more often than not they’ll be right. The math says so……..if you need more proof MLB had to ban it because it was too effective.
Another thing analytics has done is make drafting players a lot less of a crapshoot. Now they can measure exit velocity, spin rate, arm angle, grips etc. A lot more early rounders are having success and early success at the MLB level…..the Astros literally used a high speed camera from NASA (it’s not the same one as they used to steal signs) to judge spin rate before any team in the MLB knew about it. That’s why they acquired Colin McHugh was because he elite spin rate on his curveball. That’s how they had so many good pitchers they picked up for cheap in trades or basically league minimum F.A. Or off the waiver wire. Colin McHugh, Charlie Morton, Dallas Keuchel, Frambar Valdez, Verlander had some of the best seasons of his career as an Astro, Lance McCullers before injuries. They turned Ryan Presley from an early round bust into an all star closer. I can go on and on about the Dodgers, Guardians, and Brewers pitching staffs as well. Guess what they were ALL built with? Home grown (drafted), journeyman FA, and players from trades they got for next to nothing…..using analytical data as a guide and looking for specific advanced metrics that are elite.
The Dodgers are what they are because they have the analytics that tell them who the best players are and they have the money to sign them when they become FA. Mitigating their risk of massive FA busts like they have done in the past. Short of a salary cap or the Dodgers going bankrupt, they will run baseball for the next decade or two.
Last thing…..Jeff Luhnow is the GM the cracked the baseball code. He literally hired rocket scientists to build the algorithms and judge talent, and use physics to unearth players everyone thought couldn’t hack it in the show. The Cardinals literally hacked the Astros scouting and prospect database (called Mission Control) because they were so far ahead of the curve.
Basically, quantify how much it cost you per win and still compete. Low payroll teams like the Brewers, Rays, and Guardians and still consistently make the playoffs or contend for a playoff spot. Or teams like the Astros or Dodgers before Covid whose whole team building identity is through the draft or trades, or the waiver wire looking for specific advanced metrics (Astros: Colin McHugh, Framber Valdez, Lance McCullers…spin rate on their curveballs) in the players they draft or acquire through trades. Those are also going to be the teams who shift the most. Care to guess why? Because more often than not they’ll be right. The math says so……..if you need more proof MLB had to ban it because it was too effective.
Another thing analytics has done is make drafting players a lot less of a crapshoot. Now they can measure exit velocity, spin rate, arm angle, grips etc. A lot more early rounders are having success and early success at the MLB level…..the Astros literally used a high speed camera from NASA (it’s not the same one as they used to steal signs) to judge spin rate before any team in the MLB knew about it. That’s why they acquired Colin McHugh was because he elite spin rate on his curveball. That’s how they had so many good pitchers they picked up for cheap in trades or basically league minimum F.A. Or off the waiver wire. Colin McHugh, Charlie Morton, Dallas Keuchel, Frambar Valdez, Verlander had some of the best seasons of his career as an Astro, Lance McCullers before injuries. They turned Ryan Presley from an early round bust into an all star closer. I can go on and on about the Dodgers, Guardians, and Brewers pitching staffs as well. Guess what they were ALL built with? Home grown (drafted), journeyman FA, and players from trades they got for next to nothing…..using analytical data as a guide and looking for specific advanced metrics that are elite.
The Dodgers are what they are because they have the analytics that tell them who the best players are and they have the money to sign them when they become FA. Mitigating their risk of massive FA busts like they have done in the past. Short of a salary cap or the Dodgers going bankrupt, they will run baseball for the next decade or two.
Last thing…..Jeff Luhnow is the GM the cracked the baseball code. He literally hired rocket scientists to build the algorithms and judge talent, and use physics to unearth players everyone thought couldn’t hack it in the show. The Cardinals literally hacked the Astros scouting and prospect database (called Mission Control) because they were so far ahead of the curve.
Posted on 4/20/26 at 5:42 pm to PsychTiger
quote:
So other than the problems with pitching, catching, and fielding our defense has been pretty solid.
Yeah, pretty much. The throwing has been spot on
Posted on 4/20/26 at 5:46 pm to OceanMan
In the simplest layman terms, analytics is just pattern recognition in numbers/data sets. It’s more information to make an informed and intelligent decision. Being ex military you learn you can never have enough data/info on your opponent or your own players. It’s all about putting your players in the best possible position to succeed while putting your opponent at a disadvantage.
Posted on 4/20/26 at 6:12 pm to YoungSteele830
quote:
People only blame it when it’s wrong, rarely do they give credit when it’s right, and it’s right more than people think.
The point of this analytics boom was never to get every single decision right. That’s impossible with any approach. They’re trying to get better over the long haul, if they even get 1% better long term because of it then it’s a success.
There is no way you will convince some of the idiots here of this. They wait for it not to work, and run to start a thread. If the numbers suggested it doesn't work then the analytics would say not to do it. But these people will pretend to know the numbers.
This post was edited on 4/20/26 at 6:15 pm
Posted on 4/20/26 at 9:39 pm to QB
Johnson should never shift! He simply doesn’t know how in the F it works! Drives me bat Shiite to see team all shifted to the right with a left handed batter but the catcher is set up and the pitch is on the outside of the plate. We have literally lost series because has no idea how the F’ing shift is supposed to work!
Posted on 4/20/26 at 10:03 pm to QB
quote:
the shift
Would work if we had pitchers that can locate pitches to their spot. Problem is we don’t even have pitchers that can locate the catcher much less the strike zone.
And we also tend to pitch away from the shift when we shift.
Posted on 4/20/26 at 10:40 pm to Godfather1
quote:
Analytics are ruining baseball. At every level.
Meh … I’d argue it’s how they’re being interpreted and used.
Posted on 4/21/26 at 4:19 am to ArcticTiger
quote:
Johnson should never shift! He simply doesn’t know how in the F it works
I've read your post on here. Do you think Jay Johnson doesn't know how something works, yet you do?
Posted on 4/21/26 at 5:41 am to IM_4_LSU
This right here. Pitch call inside to force hitting into the shift and the pitcher misses his spot badly resulting in an opposite field hit. There has been some really bad pitching this year but also bad hitting and fielding too. Not a good recipe for success.
Posted on 4/21/26 at 6:25 am to QB
So we shifted plenty last year and in 2023 and it worked plenty. The best teams in the sport are shifting tons this year, texas am included. Yet, we should stop? How do yall know their is not enough analytical data to backup these decisions? Im very critical at times of where and how lsu shifts, especially the outfield. But i also know they have a ton more data to work with than I.
Posted on 4/21/26 at 11:26 am to OceanMan
How do we know if a team would do better without using analytics if they never use analytics?
Posted on 4/21/26 at 11:28 am to LSUtigerNVegas9
that is completely a different discussion than shifting infielders in college baseball with throwers rather than pitchers.
Posted on 4/21/26 at 11:56 am to OceanMan
quote:
It’s pretty easy to see why shifts could create this problem. Analytics could tell you that shifting could give you much better odds of definitely having someone in position. What weight do these analytics assign to the scenario that a batter hits it through the open spot and all of the repercussions that come with that (baserunning ability, score of the game, etc)? It likely doesn’t account whatsoever for the fact that a freshman has never played behind second base which may change his decision making and mechanics in a way that may alter the play for otherwise routine plays.
He said at every level. Should HS baseball be using analytics? Probably uneccssary, but at the pro level and high level college baseball. ABSOLUTELY.
People use the term analytics like its quantum physics.
quote:
The design of normal positions in baseball were a very simple analytic to distribute the players to places to minimize the chance of any given ball getting behind them.
That's analytics.
quote:
In football, I cringe every time time I hear “the analytics say go for it here” as if you chances of making it are all that matter, without any consideration of the fact that the stakes of not converting are all incredibly unique scenarios.
At the NFL level these are also considered.
quote:
Fact of the matter is people that coach for a living likely have very limited experience in developing and apply statistics and analytics to fully understand how to use them.
Agree, which is why at the pro level they have a room full of stats nerds to do the math and interact with them on the topics.
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