Sports Analytics Research
The Problem with the Neutral Courts at the NBA Bubble in Orlando
The 2019-20 NBA season was already one of the most entertaining in recent memory. There were many teams competing for the championship and no clear favorite. Now, things are even more interesting, with 22 teams playing in Orlando for the remainder of the season. We wonder if this change of format will be purely cosmetic, or if playing in a neutral court will affect the outcome of this season.
Analysis: Which Power 5 College Basketball Conference has the Strongest Home Court Advantage?
Based on data from the last seven college basketball seasons, we determine the home court advantage for every college basketball team in the Power Five conferences (SEC, ACC, Big 12, Big 10, PAC 12). We found significant differences between the conferences which is important in light of how the NCAA seeds the March Madness tournament leading to the Final Four. These results are also important for Bracketology calculations.
Using Data to Determine Baseball’s Most Disappointing Teams
At the end of the 2019 season, Major League Baseball crowned the Washington Nationals its best team. Few baseball fans believed the team would end the season on top of the baseball world – some called the National’s victory the biggest surprise in World Series history. Nationals fans were historic underdogs, but the Astros’ base felt the flip side of that surprise: disappointment. This article analyzes predictions and outcomes to determine the most disappointing teams and seasons in baseball.
The Future of NFL Data Analytics
The NFL data analytics revolution is just beginning as teams are realizing the dramatic effect analytics has on team success. There are many questions that need answering regarding the future of the NFL analytics. This article examines the history of analytics in the NFL and discovers schematic trends that are already forming throughout the league. Data analytics has the ability to revolutionize the NFL as we know it, it’s just a matter of time.
Esports Win Probability: A Role Specific Look into League of Legends
As millions of dollars are invested into League of Legends (LoL), teams are looking for ways to gain a competitive advantage. Recent advancements in analytics software and data warehousing have led to teams producing win probability models in many traditional sports, and these advancements have been utilized on a team-wide scale in many Esports. This research explores the method of formulating a role-based win probability model in the professional League of Legends sphere by using econometric regression techniques. The results show that much of the variation in wins are based on the player's specific role, meaning that all roles in the game at a professional level have similar game impacts.
Fields of Dreams: Geospatial Characteristics and Baseball Success (Part 2)
What factors lead to success in baseball? This article examines the relationship between geospatial and physical characteristics in relation to a player’s odds of playing professionally.