Month: June 2015

Top jobs in sports analytics!

Posted on

Wonderful article about statistician being a top job in sports!


2015 NBA Mock Draft

Posted on

In preparation for tonight’s NBA draft, our friends at Loras College have posted their mock draft!

All in for open data in sports

Posted on

In honor of Game 3 in the NBA Finals, here’s a round up of sports-related open data resources. First up is this list from the California State University at Northridge. It’s available at other library websites too. Open Source Sports describes itself as, “Massive sports databases for you to download.” While it’s got links to interesting information about women in baseball and cycling, it doesn’t appear to be have been touched much since 2013. Some folks have tried an “if you build it they will click on it” approach for data collections they can’t find otherwise, only to run into proprietary problems. In the space of the Game 3 halftime, the three-point winners are: Sports Data Hub’s OpenSDH which is an open source open data tool for analytics and Basketball Reference, which has every current stat you’d want to see about the Cavaliers and the Warriors – except…

View original post 5 more words

apWAR: The New Measure of Success in MLB Draft

Posted on

As we approach the start of the 2015 MLB draft, Philip Rhodes of Loras College Sports Analytics Club has written a fantastic piece on adjusted pick WAR (apWAR).  Very interesting read, and looking forward to many more in the future from this sports analytics contributor!

MLB Draft – Final

SA Club Partners with Sharks for 2015 Campaign

Posted on

The William Penn High School Sports Analytics Club is proud to announce a partnership with the Martha’s Vineyard Sharks of the Futures Collegiate Baseball League (FCBL) located in Oak Bluffs, MA on Martha’s Vineyard.

The Analytics Club has been tasked with the unique opportunity to create and manage baseball statistics and analyze data during the 2015 summer league season.  The SA Club will report directly to Kyle Fiore, Director of Baseball Operations and Sharks Head Coach Frank Leoni.

The team will complete all team-related operations throughout the summer via digital video conference, email, and online communication through the digital learning management software, Schoology and Google Applications.  Schoology LMS was adopted within William Penn High School in 2013 for blended learning educational practices in student classrooms and district-wide professional development and collaboration opportunities.

Team moderator and William Penn High School Integrated Mathematics instructor Jesse McNulty is quoted, “This is a unique opportunity for our students to utilize cutting edge analytics tools, connect their in-class learning to real-world experiences, and to learn valuable business skills in the sports industry.  We are thankful for this opportunity provided by the Sharks, and our students are prepared to work to bring the team another FCBL Championship this season.”

The Sharks open up their 2015 season at 7:00pm at home versus the North Shore Navigators at the Shark Tank.

Follow the team throughout the season at

The Principal Components of Pitching: 2015 Introduction

Posted on

CMU Tartan Sports Analytics

By Ron Yurko (@flyingSerb21)

In a recent blog post by the infamous Tom Tango, he points out a moment in which Brian Kenny (the sabermetrics frontman for MLB Network) is wrong about his reasoning for the best pitchers in baseball.  Kenny only used stats such as ERA and FIP, and while FIP is intended to be independent of the defense, both of these metrics are based on the outcomes of at-bats.  As Tango states, “The outcome numbers are just observations, filled with random variation.  We really only care about the pitcher’s actual talent.” This led to me to consider only looking at measurements about a pitcher’s control, inducing a batter to swing, as well as batted ball information.  Thanks to PITCHf/x we have access to much more information on pitchers and can get a really good picture of their true ability.  Using PITCHf/x data, Bill Petti and Jeff Zimmerman developed…

View original post 1,983 more words