"CoachBall has made my work as a coach so much easier. I can now keep track of everything without endless paperwork."
CoachBall tracks a comprehensive range of statistics to help you monitor player development, analyze performance, and make data-driven coaching decisions. This page provides detailed explanations of all statistics currently measured in the system.
CoachBall's statistics approach is inspired by the Moneyball philosophy, made famous by Billy Beane and the Oakland Athletics. In 2025, we had the privilege of attending a seminar with Billy Beane, where we learned about the power of data-driven decision making in baseball.
Just like the A's revolutionized baseball by using statistics to find undervalued players and make better decisions, CoachBall empowers coaches to use comprehensive statistics to:
The Moneyball approach taught us: "It's not about the size of your budget, but the quality of your data and how you use it."
CoachBall measures statistics across several categories:
Compare your players with age-group benchmarks (pitch speed, exit velocity) on our Benchmarks.
Throwing statistics are collected during personal workouts where players practice throwing mechanics. These statistics help track arm strength, consistency, and development over time.
What it measures: The velocity of each pitch thrown, measured in miles per hour (mph).
How it's used: Pitch speed is tracked for each individual pitch during workouts. The system calculates:
Where to view: Individual player statistics pages and team throwing statistics pages show speed development over time, comparisons between players, and breakdowns by pitch type.
What it measures: The type of pitch thrown (e.g., fastball, curveball, changeup, slider, etc.).
How it's used: Each pitch is categorized by type, allowing you to:
Where to view: Team throwing statistics show pitch type breakdowns with counts, average speeds, and min/max speeds for each type.
Exit velocity statistics are collected during personal workouts when players practice hitting. These metrics provide insights into hitting power, contact quality, and swing mechanics.
What it measures: The speed at which the ball leaves the bat after contact, measured in miles per hour (mph). This is one of the most important metrics for evaluating hitting power.
How it's used: Higher exit velocities generally indicate:
Where to view: Individual player statistics pages and team exit velocity statistics pages show development over time and comparisons between players.
What it measures: The speed of the bat during the swing, measured in miles per hour (mph).
How it's used: Swing speed correlates with exit velocity and helps identify areas for improvement in swing mechanics and bat speed development.
What it measures: The vertical angle at which the ball leaves the bat, measured in degrees.
How it's used: Launch angle, combined with exit velocity, determines the trajectory and distance of the hit. Optimal launch angles vary by player and situation but generally range from 8-12 degrees for line drives to 25-35 degrees for home runs.
What it measures: The time from the start of the swing until bat-ball contact, measured in seconds.
How it's used: This metric helps evaluate swing timing and efficiency. Shorter times to contact often indicate better timing and quicker bat speed.
Sweet Spot: Indicates whether the ball made contact with the bat's sweet spot (optimal contact area).
Hard Contact: Indicates whether the contact was classified as "hard" based on exit velocity thresholds.
Contact Type: Categorizes contact as hard, medium, weak, or miss.
Spray Direction: Indicates whether the ball was hit to left field, center field, or right field.
Baserunning statistics track running times for specific base paths during personal workouts. These metrics help evaluate speed, agility, and baserunning technique.
What it measures: The time it takes a player to run from home plate to first base, measured in seconds.
How it's used: This is a fundamental speed metric that directly impacts a player's ability to beat out ground balls and reach base safely. Faster times indicate better speed and running technique.
What it measures: The time it takes a player to run from second base to home plate, measured in seconds.
How it's used: This metric evaluates a player's ability to score from second base, which is crucial for situational baserunning and scoring runs.
What it measures: The time it takes a player to run around all bases (home run circuit), measured in seconds.
How it's used: This comprehensive metric evaluates overall baserunning speed and endurance, as well as the ability to complete a full circuit of the bases.
Where to view: Team baserunning statistics pages show development over time, comparisons between players, and detailed breakdowns by run type.
Game statistics are collected during actual games and include comprehensive batting, fielding, and pitching metrics. These statistics can be entered manually or imported from iScore.
Key metrics include:
Key metrics include:
Key metrics include:
Attendance statistics track player participation in team practices and games, providing insights into commitment, availability, and team engagement.
What it measures: Whether players attended, were absent, or had excused absences for team practices and games.
How it's used: Attendance statistics help coaches:
Where to view: Team attendance statistics pages show attendance rates, trends over time, and comparisons between players.
CoachBall uses the 95% rule, also known as the Empirical Rule, to remove outliers from throwing statistics. This statistical method ensures that calculated averages and maximums provide a realistic representation of player performance.
The Empirical Rule (68-95-99.7 rule) is a statistical principle that applies to data following a normal (bell-shaped) distribution. It states that:
In CoachBall's throwing statistics, we apply the 95% rule by removing the top 5% of speeds per player before calculating averages and maximums. This means we keep the bottom 95% of data points and exclude the highest 5%.
Why this matters:
The 95% rule is applied when:
Note: The rule is applied per player, meaning each player's data is filtered independently. This ensures fair comparisons while accounting for individual performance variations.
If a player has 100 recorded pitches with speeds ranging from 45 mph to 85 mph:
This ensures that if there were any measurement errors or truly exceptional throws in those top 5 pitches, they don't skew the player's performance metrics.
Statistics in CoachBall are collected through various methods:
All statistics are timestamped and linked to specific players, allowing for detailed tracking of development over time.
Pop time measures how quickly a catcher can throw out a baserunner. It is one of the most important defensive metrics for catchers.
What it measures: The time from when the pitch hits the catcher's mitt to when the ball reaches second base.
Key metrics include:
How it's used: Pop time data is used for catcher evaluation in scout searches and benchmark comparisons. Multiple measurement methods are supported: stopwatch, sensor, camera, and manual video.
Team statistics aggregate individual player performance into team-level metrics, giving coaches a high-level view of overall team performance.
Track bench time and playing time distribution across your roster. Bench statistics help coaches ensure fair playing time and monitor which players spend the most time on the bench.
Statistics can be viewed at multiple levels:
Charts and graphs are available for most statistics, allowing you to visualize development trends, compare players, and identify areas for improvement.
"CoachBall has made my work as a coach so much easier. I can now keep track of everything without endless paperwork."
"As a club manager, I love how CoachBall centralizes everything. All teams can now easily collaborate and share information."
"CoachBall has helped me improve my coaching style. The data I collect helps me make better decisions."