• Table of Contents

  • How Do Dodgers and Brewers Approach Analytics in Games?
  • The Dodgers: A Data-Driven Powerhouse
  • Player Development and Scouting
  • In-Game Strategy
  • The Brewers: A Balanced Approach to Analytics
  • Player Evaluation and Acquisition
  • Game Management and Strategy
  • Conclusion: The Future of Analytics in Baseball

How Do Dodgers and Brewers Approach Analytics in Games?

In the modern era of Major League Baseball (MLB), analytics have become a cornerstone of team strategy and player development. The Los Angeles Dodgers and the Milwaukee Brewers are two teams that have embraced this data-driven approach, albeit in different ways. This article explores how both teams utilize analytics to enhance their performance on the field, focusing on their methodologies, tools, and the impact of these strategies on their game outcomes.

The Dodgers: A Data-Driven Powerhouse

The Los Angeles Dodgers are often regarded as one of the most analytically advanced teams in MLB. Their commitment to data analysis is evident in various aspects of their operations, from player acquisition to in-game decision-making.

Player Development and Scouting

The Dodgers employ a sophisticated player development system that leverages analytics to identify and nurture talent. They utilize:

• TrackMan Technology: This system captures data on pitch movement, exit velocity, and launch angle, allowing the Dodgers to assess player performance in real-time.
• Video Analysis: Coaches and analysts review game footage to identify areas for improvement, helping players refine their skills.
• Statistical Models: The team uses advanced metrics like Weighted On-Base Average (wOBA) and Fielding Independent Pitching (FIP) to evaluate player contributions beyond traditional statistics.

For instance, the Dodgers’ use of wOBA has helped them identify undervalued players who can contribute significantly to their lineup, leading to successful acquisitions like Max Muncy, who emerged as a key player after being overlooked by other teams.

In-Game Strategy

During games, the Dodgers rely heavily on analytics to inform their decisions.

. This includes:

• Defensive Shifts: The team employs data to position fielders optimally based on the opposing batter’s tendencies, significantly reducing the number of hits allowed.
• Pitching Changes: The Dodgers analyze matchups and leverage their bullpen effectively, often using pitchers in high-leverage situations based on statistical likelihoods of success.
• Offensive Strategies: The team emphasizes on-base percentage and slugging percentage, encouraging players to adopt approaches that maximize run production.

These strategies have contributed to the Dodgers’ consistent success, including their 2020 World Series championship, where their analytical approach played a crucial role in their postseason performance.

The Brewers: A Balanced Approach to Analytics

The Milwaukee Brewers also utilize analytics, but their approach is characterized by a balance between traditional baseball wisdom and modern data analysis. This hybrid strategy allows them to remain competitive in a challenging division.

Player Evaluation and Acquisition

The Brewers focus on identifying players who can fit into their system, often looking for specific skill sets that align with their analytical findings. They emphasize:

• Exit Velocity and Launch Angle: Similar to the Dodgers, the Brewers analyze these metrics to assess a player’s potential for power hitting.
• Defensive Metrics: The team uses advanced defensive metrics to evaluate fielders, ensuring they have a solid defensive lineup.
• Injury Prevention: Analytics are also used to monitor player health and performance, helping to prevent injuries through workload management.

For example, the Brewers’ acquisition of Christian Yelich was heavily influenced by his advanced metrics, which indicated he could thrive in their offensive environment.

Game Management and Strategy

In-game, the Brewers employ analytics to make strategic decisions, including:

• Utilizing the Opener Strategy: The Brewers have been pioneers in using “openers”—relief pitchers who start games—to maximize matchups and minimize damage against opposing lineups.
• Data-Driven Bunting and Stealing: The team analyzes the success rates of bunting and stealing bases, making calculated decisions based on statistical probabilities.
• Matchup-Based Lineups: The Brewers frequently adjust their lineups based on the opposing pitcher’s tendencies, optimizing their chances of success.

This strategic flexibility has allowed the Brewers to remain competitive, as evidenced by their playoff appearances in recent years, showcasing their ability to adapt and innovate.

Conclusion: The Future of Analytics in Baseball

Both the Los Angeles Dodgers and the Milwaukee Brewers exemplify how analytics can transform baseball strategies. While the Dodgers lean heavily on data to drive their player development and in-game decisions, the Brewers adopt a more balanced approach that combines traditional methods with modern analytics. As the game continues to evolve, it is clear that teams that effectively harness the power of data will have a competitive edge in the quest for success.

For more insights into how analytics are shaping the future of baseball, you can explore resources like Baseball Prospectus and FanGraphs.