Matthew Popowitz Email & Phone Number

Los Angeles, California, United States

Los Angeles, California, United States

• Built a Hitter Projection model that accounts for many factors, including age and past performance
• Wrote Scouting Reports on Minor League Players from various organizations
• Frequently wrote briefs detailing players in Rays minor league system. These briefs covered many different topics and were sent to many members of the Front Office
• Remotely operated both Hawkeye and Kinatrax
• Designed a document filled with player statistics that will be distributed to coaches during Spring Training
• Formally suggested which players the Rays should shop and target at the Trade Deadline

Philadelphia, Pennsylvania, United States

• Using R, I analyzed MLB play-by-play data from 2010-2019 to assess how run expectancy in given base-out state fluctuates according to the hitter and the rest of the team
• Used run expectancy results to determine true value obtained or lost by each stolen base attempt
• Collaborated on research with Wharton’s Director of Undergraduate Program in Statistics
• Built a Shiny App that contains interactive tools, tables and my research (link)
• Research was also posted on FanGraphs: https://community.fangraphs.com/re-factoring-player-team-hitting-ability-into-run-expectancy-and-the-true-value-of-a-stolen-base/#more-98013

Greater New York City Area

• Researched the value provided by players in the NBA and NFL and compared them to players in MLB
• Collected and analyzed attendance figures, team financing, and existing lease agreements in order to assess the market size and future profitability of Independent League and Minor League baseball teams
• Formulated a mock case for a player’s arbitration hearing using the criteria listed in the Collective Bargaining Agreement
• Reviewed and collected data pertaining to shortcomings at Minor League facilities

Greater New York City Area

• Analyzed financial statements of Major League Baseball teams to assess the financial health of each organization
• Presented research findings to executives in the Commissioner’s Office
• Analyzed various trends relating to team performance, including, but not limited to ticket sales and TV ratings
• Researched the value provided by the top players in the league, as well as those with the highest salaries

New York, NY

• Conducted research on the companies who purchased advertisements from competing networks
• Analyzed and reported the factors that affected the respective Nielsen rating after each Yankees game