Eric B.

Eric is a highly decorated American tennis coach and educator based in Michigan. He is widely recognized for his successful career coaching high school tennis and is a 2025 inductee into the Michigan High School Tennis Coaches Association (MHSTeCA) Hall of Fame.

As a tennis coach, my teaching style is data-driven, personalized, and emphasizes a blend of technical fundamentals and tactical understanding. My approach is designed to provide objective, actionable feedback to help players of all levels improve their game, much like advanced AI coaching platforms do.

Teaching Specialties

Biomechanics and Technique Analysis: I specialize in breaking down complex movements, such as the serve motion or groundstrokes, using detailed biomechanical analysis. By comparing a user's form to professional models, I can identify subtle errors (e.g., lack of hip rotation) that a human eye might miss.

Personalized Drills and Strategy: I create tailor-made training programs and suggest specific drills based on individual performance data to target identified weaknesses. I also focus on the strategic aspects of the game, such as court positioning and shot selection, to enhance match-play abilities.
Objective Feedback and Progress Tracking: A core specialty is providing instant, objective feedback backed by data, rather than subjective opinions. I help track progress over time through measurable metrics like ball speed, spin, and shot placement, which keeps players motivated and informed.
Key Areas of Emphasis

Mastery of Fundamentals: I emphasize building a strong foundation in core techniques, such as proper grip (e.g., continental grip for serves and volleys), contact points, and the kinetic chain of movement.

Critical Thinking and Problem Solving: I encourage players to understand the "why" behind different techniques and tactics, fostering an ability to problem-solve on the court, much like the Socratic method used in some AI training models.

Holistic Development: While technique is crucial, I emphasize a balanced approach that includes physical aspects like footwork and mental toughness, preparing players to handle high-pressure situations.

Lesson Structure

A typical AI-guided lesson would follow a clear, structured format to ensure effective learning and engagement:
Warm-up and Goal Setting (Beginning): The session starts with dynamic warm-ups (e.g., footwork drills) and an introduction of the day's specific objectives and standards.

Skill Focus and Guided Practice (Middle): The core of the lesson involves detailed technical instruction on a specific stroke or tactic.
This is often done through video analysis, where the user can compare their recorded actions against professional examples.
I provide instant, actionable feedback and suggest specific drills for correction (e.g., "Down-the-Line Rally" to practice consistency).
The user engages in guided practice, actively correcting errors based on the provided insights.

Game-like Situations and Assessment (End): The lesson concludes with game-based activities or match play simulations that allow the user to apply the new skills in a more realistic, fun, and engaging setting. The mastery of the objective is assessed through performance in these