In the second installment of this series, regular contributor No Statistician But (or nsb) takes a look at infielders whose careers were most impacted by military service during World War II. As with Part 1 on pitchers and catchers, nsb is focusing not on the famous players, but on lesser known talents that fame passed by, in part because of their wartime service. More after the jump. Continue reading
Category Archives: Analysis
What Might Have Been: Careers Cut Short by WWII – Part 1
Regular contributor No Statistician But (or nsb for short) has prepared this series of posts about players whose careers were most affected by time lost to military service during World War II. The focus is not on the elite players we all know about, but on players whose prowess might have become better known if not for the war.
Part 1 will focus on pitchers and catchers, Part 2 on infielders, and Part 3 on outfielders. Without further ado, I hand it over to nsb. Continue reading
2018 Awards Voting: Cy Young
Hello baseball fans, it’s Dr. Doom again! (I know it was just a little while since the last post, but it’s awards season!)
Today, we’re going to dive into BOTH Cy Young Awards! (As an aside, I kind of wish the award had a different name in each league: the Cy Young and the Walter Johnson, maybe. Yes, it could get confusing when talking about how many “pitcher of the year” awards people won, but it’s also always fun when you get to name awards after players and honor the game’s history. End of aside.) Continue reading
2018 Fun Facts
As the regular season reaches its conclusion, here’s a look at various statistical accomplishments of the 2018 season for players on each of the 30 teams. You may already know some of them, but for many, I think, you’ll read them here first. More after the jump. Continue reading
NL races go down to the wire
The post-season qualifiers are all determined in the AL, but it’s a different story in the NL with two divisions in a virtual dead heat with 5 days left in the season. After the break, a closer look at the races in the NL’s Central and West divisions. Continue reading
Fun Facts: a sampling of statistical oddities
Thanks to Richard Chester for providing this fun assortment of odd statistical facts.
Building a Better Pitcher Wins Metric
Dr. Doom provides us with another new metric to measure wins contributed by pitchers. Not wins above replacement, just wins, plain and simple. More after the jump.
Building a Simpler Pitcher WAR Metric – Part 3
Hello again, my HHS friends! Dr. Doom here again. Thanks for bearing with me through those first two parts; I know they were review for most of us, but I figured I should make sure to explain everything, just in case someone new needed a primer. In any case, welcome to the final part of the series. As always, a special thanks to Doug for posting these, and to the community for tolerating them. This truly is a great place to talk baseball on the web.
As you’ll recall, in Part 1 we discussed the Pythagorean Record and how innings pitched relate to decisions. In Part 2, we saw how ERA+ works. Now, using those tools at our disposal, it’s time to build our WAR paradigm! More after the jump. Continue reading
Building a Simpler Pitcher WAR Metric – Part 2
Thanks again to Dr. Doom for contributing this series on Pitcher WAR measurement. If you missed Part 1, you can check it out here. In Part 2, Dr. Doom takes a closer look at ERA+. More after the jump.
Building a Simpler Pitcher WAR Metric – Part 1
Greetings, HHSers from Dr. Doom!
OK, so here’s the thing. This website is called “High Heat STATS.” And while Doug will occasionally enlighten us with a beautiful, table-filled column about some statistic or other through time, I think we all just like talking baseball. But in this series of posts, I’m going to get into the nitty-gritty of building a mock-WAR that I think you’ll all enjoy. It’s a quick-and-dirty way to do a couple of things I think are important.
- It takes ERA (or FIP) numbers and prioritizes them over won-lost records;
- It allows (more) direct comparisons of starters and relievers;
- It simplifies down to one dimension VERY quickly and easily (or stays two-dimensional, if you prefer);
- It is easily figured with a computer/calculator and only TWO stats, easily found on Baseball-Reference or Fangraphs.