Coors Field’s Impact on Pitch Movement

Coors Field has long been synonymous with offensive slugfests which give pitchers nightmares. In addition to this, we know that the higher altitude in Denver is what affects the baseballs' trajectory as they are both thrown and hit. Often the "thin air" is brought up as what allows the baseballs to travel further in Coors... Continue Reading →

Projecting The Field of 64 With Analytics

Using analytics is far more complicated when trying to build predictive models for players. But for schools, it’s far less so. Albeit harder this year than most due to two conferences only playing themselves, and another basically cancelling the season; there are still historically-based and far less volatile metrics (like ELO) available to rank teams.... Continue Reading →

Moving Forward with “Win Score”

If you are unfamiliar with the term "Win Score" please check out the: Introducing "Win Score" article. The equation for Win Score as stated in that article is: Win Score = [(League average runs-(ERA+FIP)/2)*5 + .75(innings) + .5(strikeouts)]/Games Pitched. The point of Win Score is to replace the current "win" statistic as it is outdated... Continue Reading →

Taijuan Walker Could Break Out in 2021

When the New York Mets signed Taijuan Walker this offseason, they were mostly just looking to fill out their rotation after missing out on Trevor Bauer and trading Steven Matz to the Toronto Blue Jays. In fact, Walker finished out the 2020 season in Toronto so it, at the time, felt like a possible unofficial... Continue Reading →

BCTips: Welcome to the New BCTeam

We are excited to announce the launch of our new BaseballCloud platform! It has been months in the making and has taken hundreds of hours of testing to make sure everything runs smoothly as we migrate over all of our teams' accounts, and onboard new teams. BC users will now be able to access all... Continue Reading →

Introducing “Win Score”

Pitchers in Group 1 have a record of 0-10 with a 2.69 (ERA+FIP/2) vs. pitchers in Group 2, with a record of 7-0 with a 5.08 (ERA+FIP/2)... Historically, the “Win” has been a steady metric that has been simple to understand and commonly used to judge how good a pitcher was.  Over time we have... Continue Reading →

D1 Rerun April 9-11

The weather is warming up and that means the ball is starting to fly and fans are packing stadiums as we are in the midst of conference play for Division 1 baseball. The D1 Rerun is here to recap all the madness that occurred over the weekend! The Hokies brought their bats to Winston-Salem this... Continue Reading →

deScussing deGrom

“Hitters don’t hit his fastball.” In his brief outing in the 2015 MLB All-Star Game, that was all the announcers could talk about. The velocity, the extension, the rising effect. Back then, deGrom was only averaging 95.7 mph. Harold Reynolds put it well as he witnessed deGrom K’ing the side on 10 pitches: “That’s why... Continue Reading →

What Actually Contributes to BABIP?

In the field of statistics, we use the the law of large numbers to explain that as the sample size of something increases, the average of that sample will fall closer to the mean of the population as a whole. The proof of this law has existed since the publishing of the book Ars Conjectandi... Continue Reading →

D1 Rerun April 1-4

We had MLB and college baseball on Thursday last week due to Easter weekend, so we have a lot to to get caught up on. Let's hop right in! Mississippi State bounced back from getting swept last weekend with a sweep of their own over Kentucky. These four straight Curveballs from Christian MacLeod are just... Continue Reading →

Opening Day Eye-Poppers

Opening Day is baseball fan’s Christmas. Anything is possible. You get the first glimpse at teams and players not knowing what lies ahead. For at least one day a year, every team can trick themselves into thinking they are championship contenders. It is tempting to jump on early season stats as indicators. In DJ Lemahieu’s... Continue Reading →

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