BASKETBALL ANALYTICS
TUESDAYS & THURSDAYS
5 PM PST / 8 PM EST
16 OCT 2025 - 11 DEC 2025
DURATION:
8 WEEKS
TUESDAYS & THURSDAYS
5 PM PST / 8 PM EST
Create a team that dominates on the court. Find the edge with analytics.
Turn numbers into game plans with AJ Meyer, Coaching Analytics Manager with years of experience in the NBA. Learn how to use real stats to shape real strategy.
THIS COURSE IS FOR YOU, IF...
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YOU ARE A COACH, SCOUT OR PLAYER DEVELOPMENT SPECIALIST
You know talent when you see it — now learn how to develop it. This course gives you the tools to break down player data, build smarter development plans, and spot inefficiencies before they hit the scoreboard. From lineup optimization to opponent scouting, you’ll learn how to turn raw stats into winning strategy and bring the front office mindset to the courtside.
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YOU ARE A SPORTS AGENT OR MEDIA PRO
Whether you’re looking for the next breakout star, negotiating client value, or writing the story behind the stats, we give you the tools to back every claim with data. Learn how to read between the numbers and use advanced metrics to place talent, pitch potential, and predict success like a front-office insider. From RPM to roster fit, this is how today’s best agents, scouts, and reporters stay one step ahead.
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YOU ARE A JUNIOR DATA ANALYST OR RECENT GRAD
This basketball analytics course connects your spreadsheet smarts to real on-court moves, teaching you how to evaluate teams, build reports, and use data to your advantage. Learn how the pros do it in NBA front offices, and leave with the playbook and portfolio to land your first job in basketball ops.
Our students work in 1600+ companies worldwide
Master Excel for data-driven player development, valuation, and scouting to build a successful team. Get hands-on in labs pulling live data and sharpen your pitch game in workshops that simulate life inside an NBA front office.
Wondering how data actually shapes the game strategy? We bring in the guest speakers: from shooting coaches to front office pros. You’ll hear exactly how analytics drives success on the court, in the training room, and at the draft table.
Whether you choose building a rotation strategy for the coaching staff or mapping out a 3-year roster plan for the GM, you'll put your data chops to the test. This is your shot to turn spreadsheets into a real portfolio boost.
AJ MEYER
LinkedIn Profile- Former Coaching Analytics Manager at Dallas Mavericks
- Currently leads coaching analytics department, turning real-time data into smarter game-day decisions.
- With almost 10 years in the NBA, previously worked as a Coaching Analytics Manager at the Dallas Mavericks & developed strategic insights as Coaching Analytics Coordinator for the San Antonio Spurs.
- Specializes in bridging the gap between data and coaching, making complex analytics actionable for elite teams and staff.
Opening huddle! Get a breakdown of the course playbook, meet your coach, and get an idea of the team’s experience.
- Instructor introduction
- General housekeeping
- Assignment overview
Basketball has always been a game of numbers — now we just track more of them. Explore the rise of basketball analytics, the tools of the trade, and how data is transforming decisions from scouting to substitutions.
- Key applications
- Tools & software
- Evolution & decision-making impact
- Case study: Examples of how analytics fits into basketball
- Lab: Intro to Basketball Reference, nba.com, and pbpstats.com
Not all 20-point games are created equal. Dig into box score stats, advanced metrics, and how to interpret them in real game situations. Learn how to read between the lines and uncover the truth behind the numbers.
- Basic box score stats
- Efficiency metrics
- Individual advanced metrics
- Individual one-number metrics
- Adjusting for context
- Case study: Real game stats and interpreting box score data
Assignment #1: Analyze players of varying abilities using basic and advanced metrics. Think like a scout—what do the stats really say?
Data without context is like running an iso with no shot clock awareness. Class 3 focuses on how to extract, clean, and interpret data to find what matters—and ignore the noise.
- Data and contextualizing it
- Data trends and patterns
- Navigating and extracting data
- Filtering and comparing player stats
- Lab: Extracting data from Basketball Reference
- Workshop: Blind player profile comparison
From pace and spacing to the Four Factors, discover how to assess a team’s offensive and defensive performance. Learn to see the game as a coach does—through efficiency, synergy, and execution.
- Offensive and defensive efficiency
- Four Factors
- Trends over time
- Lineup data
- Pre-class Reading: Basketball on Paper (Dean Oliver)
- Case study: Impact of the Four Factors on team success
Assignment #2: Evaluate a team’s season performance through Efficiency and the Four Factors. Offense, defense, and everything in between—break it down in one page.
Not all shots are good shots. Explore how data reveals shot quality, player tendencies, and how coaches use it to sharpen scorers. You will also hear firsthand from a guest speaker who’s used this tech courtside.
- Evaluating shot selection
- Shot quality & expected shot value
- Shot efficiency & identifying hot spots
- Data & player development
- Case study: Shot tracking technologies (NOAH, Second Spectrum)
- Guest speaker: Shooting coach utilizing data for player development
Great scouting isn’t just watching film—it’s seeing what’s beneath the surface. Learn how analytics powers elite-level game prep, matchup analysis, and adjustment strategies.
- Analyzing opponent using historical data
- Data-driven gameplans
- Preparing for specific scenarios
- Adjusting based on prior matchups
- Lab: Utilizing data to prepare a scouting report
Assignment #3: Create a playoff game scouting report. Choose one team from a list and build a Game 4–7 game plan based on their series performance.
The best ability is availability. Learn how teams use data to monitor player health, prevent injuries, and balance performance with long-term sustainability.
- Monitoring player workload
- Predicting injury patterns
- Player health & team performance objectives
- Guest speaker: Leveraging data to minimize injury risk
When the game’s on the line, every possession counts. Explore how real-time data helps coaches optimize lineups, make clutch decisions, and exploit mismatches on the fly.
- Analyzing in-game decisions
- Tracking and adjusting in real time
- Optimizing play calling
- Lineup optimization and rotations
- Case study: Going for two vs. three when down by three
- Win probability
Assignment #4: Break down the final moments of a Knicks/Celtics playoff game. Recommend a better endgame strategy based on data.
Talent needs a roadmap. In this class, you’ll discover how analytics shapes individual development plans, tracks progress, and tailors training to maximize potential.
- Assessing strengths and weaknesses
- Individualized training plans
- KPIs based on comparable precedents
- Monitoring and measuring progress
- Workshop: In groups, create a player development analysis for a young player.
Whether it’s a high school standout or a draft sleeper, learn how to spot potential and predict performance using data. It’s part art, part science—and fully essential.
- Player forecasting & projecting potential
- Building data-driven scouting reports
- Lab: Evaluating draft prospects using data from college games
- Case study: The predictability (and unpredictability) of the NBA draft
[Optional] Assignment #5: Create a report on a draft prospect evaluating their strengths, weaknesses, projected output, and fit with an existing team.
Building a contender isn’t just about stars—it’s about fit, value, and timing. Learn how front offices use analytics to build balanced, high-performing rosters within cap constraints.
- Evaluating trades & free agency decisions
- Salary cap & roster efficiency
- Undervalued players & market inefficiencies
- Guest speaker: Implementing data in ideal roster construction
Assignment #6: Identify and analyze undervalued player contracts.
Numbers don’t win arguments—stories do. Class 13 teaches you to create compelling visualizations that make your case to coaches, players, or execs.
- Dashboards & visual tools
- Visualizations for player, team, & league insights
- Data visualization best practices
- Storytelling: Charts, graphs, & data narratives
Learn how to translate analytics into strategy, communicate clearly, and earn buy-in from stakeholders.
- Translating complex statistical concepts
- Tailoring communication
- Technical depth with accessible messaging
- Workshop: Role-play a presentation to a coach or GM
Assignment #7: Create a visual and summarize the top 3 insights from it to help with team decision-making.
A good analytics system is more than dashboards—it’s culture. Learn how to lead teams toward embracing data and making it part of their everyday strategy.
- Fostering a collaborative analytics environment
- Managing change in data-driven environments
- Ethical considerations
- Overcoming resistance
- Guest speaker: How analytics can empower players, and making informed decisions about their careers
From AI assistants to VR scrimmages, the analytics game is evolving fast. Get a glimpse of the future—and where your career could fit into it.
- Motion & player tracking technology
- Emerging tech
- AI and machine learning
- The future of data in basketball
From courtside to front office, there’s a growing demand for minds that understand the game and the data. Delve into job paths, tips for breaking in, and what top orgs are looking for.
- Guest Speaker: Career opportunities in basketball analytics
- Career opportunities
- Resume and interview tips
Final Project: Analytics-Driven Coaching OR Front Office Strategy
Choose your lane: lead like a coach or build like a GM. You’ll apply everything you’ve learned to create a full-fledged basketball strategy, backed by data and ready for real-world implementation.
What our students say

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