Sports Analytics Research
Analyzing Collegiate Baseball Lineups: The Power Five
Are collegiate baseball coaches maximizing run production through optimized batting lineups? This research presents empirical analyses comparing game-used and optimized lineups in college baseball. Utilizing Seqnzr’s modeling software, all sixty-one teams from the Power Five conferences were simulated and subsequently analyzed for the 2017-2019 seasons. Results identify the differences among conferences and suggest how some conferences may be using analytics to better compete with the powerhouse SEC.
A Crash Course in Soccer Analytics
Complex statistical modeling of big data has found its way into the world of soccer over the last few years and is already starting to radically change the way coaches and players approach the game. According to Kevin Minkus, “It has influenced changes in how the game is played — teams shoot closer to goal and take shorter goal kicks and quicker throw-ins, all of which is suggested by looking at data.” This article will look at some of the latest developments in soccer analytics.
A Crash Course in Basketball Analytics
In the same way the industrial revolution swept across the planet in the 18th and 19th centuries impacting every aspect of our lives, big data and sophisticated analytics has had a similar impact on the world of sports. The way coaches make in-game decisions, player recruitment, and everything in between is now fundamental different from how it was just ten years ago.
Leeds United’s Explosive Growth Amongst Generation Z Football Fans
Brands, politicians, and marketers around the globe are seeking to recruit the up-and-coming generation of customers, Generation Z, and Leeds United F.C. seems to have the magic formula.
2020 World Series: A Study on the Rays and Dodgers Lineups
Utilizing statistics to help with game decisions is becoming a major part of professional sports. With the help of Seqnzr, I compared the lineups used by the Tampa Bay Rays and Los Angeles Dodgers during the 2020 World Series with two other common statistical approaches to lineup optimization.
A Crash Course in Analytics in the MLB
As analytics have rapidly spread across all sports, Major League Baseball has emerged as one of the most analytically driven leagues. Batting average, on-base percentage, total hits, and many other metrics have always been calculated to measure player performance. However, advancements in technology have allowed for more sophisticated statistics to be measured.