Improving Pythagorean Winning %

The Pythagorean Win Percentage for baseball was created by Bill James to correlate a team's winning percentage to their expected win percentage. His initial equation was: Over the years this has held up with slight changes in the exponent to get a higher correlation between expected wins and actual wins.  Currently, on Baseball Reference the... Continue Reading →

Sidearm Pitchers with Reverse Splits this year???

As a right-handed submarine pitcher, you hear countless times that you will be more effective against righties and will struggle against left-handed hitters.  The past data agrees with this, as do most (if not all) coaches and past players.  So why are submarine/sidearm pitchers having more success against opposite handed hitters than same-sided hitters this... Continue Reading →

The Curse of the Triple Play

Why was I screaming at my TV in agony as the Yankees turned their first triple play of the year on May 21st to get them out of a jam against the White Sox?  This may seem like a weird reaction from a lifelong Yankees fan...unless you knew about the Curse of the Triple Play.... Continue Reading →

Where did their Spin go?

Usually when a pitcher adds more spin to his fastball you see a relatively similar increase in velocity; however, these 5 pitchers go against this pattern drastically.  I looked at 5 pitchers’ fastballs who have lost 100 or more RPM this year compared to their 2020 data, while also showing an increase in velocity.  These... Continue Reading →

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 →

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 The point of Win Score is to replace the current "win" statistic as it is outdated...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 →

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 →

Video Game Numbers in College Baseball

120 strikeouts in only 60 1/3 innings pitched while allowing just 4 runs and 21 hits!!! No this is not my created player on MLB the Show, this is the combined stat line for 5 Division 1 College Pitchers.  Landon Sims, Carson Palmquist, Joseph Menefee, McCade Brown, and Tanner Riley have begun the 2021 college... Continue Reading →

Final Pitches 344 Days into the Past

Division 1 Baseball finally started up again after almost a year break, with the last game being on March 12, 2020. This post will show the last pitch thrown over some of the D1 Conferences. The 4 main Conferences that BaseballCloud has pitch data from last year were: The ACC, Pac-12, SEC, and Sunbelt. For... Continue Reading →

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