About The BaseballJunkie

Hello There, The BaseballJunkie is Build by the Men those who really love Baseball and Softball. Below are the short intro about them.

Ryan Wilkins

Email: ryan(a)baseballjunkie.net

Though a two-time All-League pitcher at the high school level, Ryan was always different from his teammates. When players and coaches were arguing the merits of “team chemistry” and “always being aggressive at the plate” Ryan was constantly the one to take the opposing side of the fight.

Now, after finally deciding to hang up his spikes and concentrate on school work, Ryan has the benefit of spending his day talking about baseball with people who actually understand the game — unlike a few former coaches he could name. (One of whom, ironically, played in the minor leagues for a couple of years. I bet his walk-rate was horrible).

Anyway…

The baby of the bunch — though his age is currently being investigated by Major League Baseball — Ryan Wilkins is here to spread the gospel of plate-discipline; and would one day like to be a journalist covering his hometown team, the Oakland Athletics. It was his and Ben’s idea to give a voice to the younger faction of the sabermetric community — and he sincerely hopes not to screw this opportunity up by, say, writing too many negative pieces about Ichiro Suzuki.

He has already learned that there are some battles we are not destined to win.

Favorite Team: Oakland Athletics

Favorite Player: Will Clark, Roy Hobbs

Favorite Baseball Website: AroundTheBats.com this is a website about softball bats and wooden bats. You can easy to find all type of softball bats such as top rated slowpitch softball bats, top fastpitch bats and best wood baseball bats for high school at this.

James Newburg

Email: james(a)baseballjunkie.net

James Newburg is a hip and sophisticated man ready to deal with the fast-changing world of the 90s. His long, flowing mullet lets people know he means business. Or not. Hell, I?m not even that hip or sophisticated of a baseball analyst.

He is 19 years old, and go to De Anza Community College in Cupertino, California, spending most of my time writing and editing the school newspaper, La Voz.

Some disgruntled student plotted to blow up the school, but he won’t hold that against the administration. Maybe when James is grown up, he can go to a real school.

His baseball experience is that of the stereotypical stathead. James spent three seasons as the statistician of the Lincoln High School baseball team in San Jose. In that time, he was not able to convince our coaches of the significance of OPS. Put it this way: one practice, our head coach compared our third baseman to Charlie Hayes as a means of complimenting him.

James also make frequent pilgrimages to Oakland Coliseum to see the Athletics play. Such is my fervor for the green-and-gold, he spent a whole part-time paycheck to buy field level tickets for last year American League Championship Series. In the words of Bill Simmons, Not good times. Bad times.

Today, James Newburg is working on his Journalism major, hoping to transfer to an area university. He is looking to become a sabermetric newspaper columnist, and hope my colleagues here do the same. Until then, James is just serving up his best offerings. Some days, he may hit 98 on the gun. Other days, he might not break 75. He just hope he don’t get knocked out of the game by the third inning.

Favorite Team: Oakland Athletics

Favorite Player: Jose Canseco, Rickey Henderson, Barry Zito

Favorite Baseball Website: PineTarPress.com. This site is about all equipment for baseball. They have a lot of articles about USA bats reviews and other equipment like Baseball Gloves, Pitching machines, especially they have an article about best backyard batting cages of 2019 you should check through it.

Ben Matasar

Email: ben(a)baseballjunkie.net

Ben is a 21 year old student in Electrical Engineering and Computer Science at the University of California at Berkeley. He last played organized baseball in little league, and so he don’t have much actual playing experience. Ben is a pure fan. In that sense, He is the stereotype of a “computeree” that Peter Gammons loves to hate. His goal in cofounding this site is to give younger people a voice in the sabermetric community.

Favorite Active Player: Mike Cameron, Sammy Sosa, Greg Maddux.

Favorite Baseball Writer: Rob Neyer, Bill James, Rany Jayazerli, and sometimes Don Malcolm.

Favorite Baseball Website: Baseball-Reference.com. This is about all baseball information in the world.

Least Favorite Writer/Broadcaster: Ben is going to have to go with Tim McCarver, but not because he’s the worst broadcaster. He don’t think he is, though Ben think he is very bad. What is so terrible about Tim McCarver is that if you want to watch the World Series, you can’t avoid him. This is why he rank him ahead of people like Peter Gammons, who he don’t have to read.

One of The best article from Ben

Custom Linear Weights: To the Max!

When asked what scores runs, baseball analysts and field managers will usually give different answers. Field managers tend to overvalue the elements of the game they have direct control over: things like “clubhouse chemistry” stolen bases, sacrifice plays, hitting behind the runner, and lineup order. Analysts counter with logic, evidence, and statistical analysis, building a picture of what actually helps a team to score runs.

One of the most popular systems to do this is called Linear Weights, a system that assigns a run value to a number of offensive statistics. For example, in Extrapolated Runs, a system developed by Jim Furtado, the weights are as follows.

This system of values is about right for the current era — differences between the values here and other systems you see are mostly just a matter of analysts splitting hairs. In fact, almost every modern Linear Weights system is the same as xR within the error bars. For an example value of xR, AL MVP Ichiro Suzuki had 118 xR in the 2001 season — far from a league leading number.

Some baseball managers seem to use a different system to make decisions, and I want to speculate on what values they would assign to these events. One manager who has a large disconnect with reality is the Chicago Cubs’ Don Baylor.

As those who have seen his exploits on WGN know, Baylor is obsessed with the sacrifice bunt and playing little ball. So, without further ado, I present “Baylor Weights” a system for the discriminating manager:

I welcome speculation, as these numbers are mostly a factor of me playing around. As somebody who has watched a lot of Cub games, Don Baylor’s obsession with the sacrifice bunt is a major frustration. However, Baylor seems not to care that giving up outs is a bad thing.

Let’s take a look at a Baylor favorite, Eric Young. Here are his Extrapolated Runs and his “Baylor Runs”:

xR 76
Baylor Runs 130
So, of course EY is one of Baylor’s favorites. Baylor Weights are the key to ushering in a new era of understanding.

“But Ben,” one might say, “this system will vasty overestimate runs scored for a team: Where are the extra runs going to?” Good question. Those are the previously phantom 3-4 runs per game that Rey Sanchez is saving with his glove! Once you’re in the Baylor Zone, you can never go back.

But Baylor isn’t the only manager for which one can build a system like this. What about the others? Well, for Muser Weights, say, all you need to do is make sure that a double is worth more than a home run, and presto – you’re in business.

You can even play this game with general managers. Syd Thrift Weights would assign a value to age. The older a player is, the more runs he is worth. Dean Taylor Weights would assign a high negative value to batter strikeouts. Russ Branyan actually creates negative runs under that system.

Even sportswriters can have their own values. Let’s take a look at my system for Boswell/Reilly Weights, which are otherwise the same as Extrapolated Runs:

Boswell/Reilly Weights
10 Recliners
5 Nutritionists
1 Team Photographs missed
15 Interviews refused

With minor adjustments, everything can be reduced to a problem that Linear Weights will solve.