Can $29/Month AI Baseball Analysis Compete with $30,000 TrackMan? An Honest Comparison
Introduction: The Biomechanics Access Gap in Baseball
The Los Angeles Dodgers recently partnered with Kitman Labs to develop a comprehensive AI-powered program that analyzes biometric measurements and sport-specific data to identify which players may have a higher risk of suffering an injury. The Baltimore Orioles are working with the University of Waterloo on advanced computer vision technology that analyzes pitcher mechanics from low-resolution game video.
Meanwhile, at your local high school baseball field, the pitching coach watches 15 pitchers throw bullpens simultaneously, armed with a radar gun and decades of experience. He catches maybe 30% of the mechanical issues. The rest? Athletes train blind, hoping they're doing it right.
This is the biomechanics access gap in modern baseball.
On one side: Professional and college programs with TrackMan systems ($30,000), motion capture labs ($350 per session), and dedicated biomechanics analysts. On the other side: Youth and high school programs with limited budgets, volunteer coaches, and athletes developing habits—good and bad—that will define their careers.
The injury statistics tell the story. UCL (Tommy John) surgeries among youth pitchers have skyrocketed 500% in the past decade. Most of these injuries stem from mechanical flaws that could have been identified and corrected early—if the technology had been accessible.
But technology is changing the equation.
Recent research in machine learning has demonstrated something remarkable: "Recent advances in machine learning have aided pitchers in training, detecting patterns in pitching mechanics—previously unobservable to the human eye—to avoid arm stress as well as potentially increase velocity, movement, or spin rate."
The question is no longer whether AI can analyze pitching mechanics. It's whether affordable AI systems can provide value comparable to professional-grade equipment costing 100-3,000 times more.
This article provides an honest, data-driven comparison between high-end biomechanics analysis systems and affordable AI alternatives—specifically SportSensAI's $29/month service—using real analysis examples, academic research, and transparent discussions of what each approach does well and where it falls short.
Example: Real pitching delivery analyzed by SportSensAI's AI system, identifying mechanical issues and injury risks in seconds
The High-End System Landscape: What $30,000 Buys You
Before we discuss alternatives, let's understand what professional teams are using and why it costs so much.
TrackMan: The $30,000 Gold Standard
TrackMan dominates professional baseball. Since MLB introduced Statcast in 2015—a system of high-speed cameras and radar in every ballpark—teams have generated an astonishing seven terabytes of data per game. That's not a typo. 7TB. Per game.
What TrackMan Measures:
- Ball Flight Data: Velocity, spin rate (RPM), spin axis, release point, trajectory
- Movement Metrics: Horizontal and vertical break, effective velocity
- Release Data: Extension, height, side
Who Uses It:
The Houston Astros, New York Yankees, Tampa Bay Rays, and Los Angeles Dodgers are at the forefront of baseball's analytics revolution, having found sustained success thanks in large part to their cutting-edge analytics departments powered by systems like TrackMan.
The Cost:
- $30,000 MSRP for the unit
- Installation and calibration fees
- Ongoing maintenance
- Trained operator required
- Dedicated facility space
What It Doesn't Do: TrackMan excels at ball flight metrics but provides limited biomechanical analysis. It tells you the ball spins at 2,400 RPM but doesn't explain why your elbow hurts or how to fix your arm slot.
FlightScope Strike: The $18,000 Alternative
FlightScope competes directly with TrackMan using different radar technology. The Strike system requires a one-time $18,000 purchase and offers similar ball tracking capabilities. FlightScope uses Doppler radar technology versus TrackMan's 3D Doppler radar, resulting in slightly different measurement approaches but comparable accuracy for most use cases.
Rapsodo: The $3,000-$4,500 "Affordable" Option
Rapsodo has democratized ball flight analysis—at least for well-funded programs. At roughly 1/10 the cost of TrackMan and 6x cheaper than FlightScope, it's become popular with college programs and well-funded high school teams.
What You Get:
- Pitch velocity and spin rate
- Release data and trajectory analysis
- Mobile/portable setup (camera + iPad)
- Simplified interface for coaches
The Catch: "Affordable" is relative. $3,000-$4,500 is still beyond reach for most youth programs, and it still doesn't analyze pitching mechanics or biomechanics—only the ball's flight.
Professional Motion Capture: $350 Per Session
This is where biomechanics analysis actually happens.
Facilities like the Wake Forest Pitching Lab use advanced motion capture technology to analyze pitching mechanics in granular detail. Under the direction of Kristen Nicholson, PhD, the lab oversees "data collection, research and biomechanics interpretation with the goal to understand pitching efficiency and reduce injury risk while maximizing performance."
The results speak for themselves: During the 2023 Major League Baseball draft, Wake Forest was the only team to have four pitchers taken within the top 100 picks.
What Motion Capture Provides:
- Precise joint angles throughout the pitching motion (accurate to 0.1°)
- Kinetic chain sequencing analysis
- Force generation and transfer measurements
- Stress calculations on joints and ligaments
- Professional biomechanist interpretation
The Reality:
- $350-$500 per session at professional facilities
- 1-4 sessions per year realistic for most families ($1,400-$2,000 annually)
- Requires travel to facility (limited geographic availability)
- Results take 3-7 days to process
- One-time snapshot vs ongoing monitoring
Who Has Access: College programs with dedicated budgets, serious pro prospects, or families willing to invest thousands annually. Not your average high school pitcher.
The Academic Foundation: AI + Baseball Biomechanics Research
Before diving into affordable alternatives, it's important to understand the academic research validating AI-based biomechanics analysis.
University of Waterloo: PitcherNet (2024)
Researchers at the University of Waterloo developed artificial intelligence technology—working directly with the Baltimore Orioles—that can accurately analyze pitcher performance and mechanics using low-resolution video of baseball games.
The system, called "PitcherNet: Powering the Moneyball Evolution in Baseball Video Analytics," was presented at the prestigious 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Key Finding: The technology "can adjust how pitchers throw the ball to improve performance or avoid injuries, and assess the future success and durability of pitching prospects."
This research demonstrates that AI can extract meaningful biomechanical insights from standard video—without expensive motion capture equipment.
Washington University in St. Louis: Deep Learning for Pitching Strategy (2023)
A computational game-theoretic approach proposed by faculty at the McKelvey School of Engineering used a combination of stochastic game modeling and deep neural network learning techniques to compute optimal pitching sequences.
Result: The AI-driven approach was shown to "boost the effectiveness of average and below-average major league pitchers."
arXiv Research Papers: Neural Networks for Biomechanics
Multiple peer-reviewed research papers published in 2024 demonstrate the viability of AI-based pitching analysis:
"Neural Network-Based Tracking and 3D Reconstruction of Baseball Pitch Trajectories" (May 2024):
- Uses neural networks to reconstruct 3D pitch trajectories from single-view 2D video
- Fully connected layers map 2D coordinates to 3D space
- Trained with mean squared error loss and Adam optimizer
"Leveraging Graph Neural Networks for Pitching Speed Prediction" (March 2025):
- Hybrid GNN-GRU model predicts pitching velocity with high accuracy
- Uses layer-wise relevance propagation for interpretability
"Machine Learning for Fastball Velocity Prediction" (February 2022):
- Gradient boosting machines demonstrated best prediction performance
- Used 16 kinetic and kinematic predictors from pitching sequence
- Key insight: "Future applications may use additional context to predict other performance metrics from ball tracking data, such as throwing arm biomechanics."
The Research Consensus
Across multiple universities and research labs, the evidence is clear: AI can analyze biomechanics to identify potential injury risks, allowing teams to tailor training programs for each player and detect "patterns in pitching mechanics—previously unobservable to the human eye."
The technology is validated. The question is whether it can be made accessible.
What $29/Month Gets You: SportSensAI's AI Analysis
This is where the comparison gets interesting.
The Pricing Model
$29 per month = 30 video analyses
Let's do the math:
- $0.33 per analysis
- vs. $350 per motion capture session (1,060x more expensive)
- vs. $3,000+ upfront for Rapsodo (300 months of SportSensAI)
- vs. $30,000 for TrackMan (3,000 months, or 250 years of SportSensAI)
The Technology
SportSensAI uses proprietary AI software built by a team with decades of combined experience in machine learning and software engineering. The system leverages advanced computer vision models specifically trained on pitching biomechanics to analyze movement patterns, identify injury risks, and provide actionable coaching feedback.
How It Works (Technical Overview):
- Multi-Frame Analysis: The AI analyzes multiple frames throughout the pitching delivery to understand temporal sequences and movement patterns
- Biomechanical Understanding: Rather than just measuring joint angles, the AI understands biomechanical concepts—what "early trunk rotation" means, how hip-shoulder separation affects velocity, why arm lag creates elbow stress
- Natural Language Output: Instead of raw data dumps, the system provides coaching-quality feedback that athletes and coaches can immediately act on
Zach Lush, CFSC, MPM, Co-founder of SportSensAI:
"We built this because I was tired of seeing young pitchers get hurt from mechanical flaws that could have been caught early. As a strength coach, I can't be everywhere at once. AI doesn't replace coaching—it scales it. Now I can monitor mechanics for 50+ pitchers and catch issues before they become UCL surgeries."
What It Analyzes
The AI evaluates the same biomechanical elements that professional analysts examine:
Delivery Mechanics:
- Hip-shoulder separation timing
- Trunk rotation sequencing
- Arm path and slot
- Stride mechanics and direction
- Balance and stability throughout delivery
Injury Risk Assessment:
- Early biomechanical indicators of UCL stress
- Shoulder impingement risk factors
- Timing issues that increase joint stress
- Compensatory movement patterns
Performance Optimization:
- Kinetic chain efficiency
- Energy transfer from lower body
- Follow-through and deceleration quality
- Mechanical consistency across pitches
Safety Scoring:
- 0-100 score based on injury risk factors
- Critical issues flagged in red
- Minor optimizations noted
- Evidence-based coaching cues provided
Real Analysis Walkthrough: What the AI Actually Sees
Let's move from theory to practice. Here's a real analysis from SportSensAI's system, showing exactly what feedback a pitcher receives.
The Video
Context: Baseball pitcher, side/front camera angle, 10-second bullpen throw
Exercise Type: Pitching delivery analysis
Video Quality: Standard smartphone recording
AI Analysis Output (6 Timestamped Events)
Event 1 - 0:08.1 (GOOD)
"Good balance at the top of your leg lift. You're in a stable position to start your move forward."
Coordinates: 455, 540 (marking balance point on screen)
Event 2 - 0:08.3 (MINOR)
"Your front shoulder is starting to pull open here. Try to keep it closed longer as you stride."
Coordinates: 410, 415 (front shoulder position)
What This Means: The AI detected early shoulder rotation—a common issue that reduces velocity potential. Most coaches would miss this in real-time because it happens in a fraction of a second.
Event 3 - 0:08.5 (CRITICAL)
"At foot plant, your hips and shoulders are rotating together. This reduces separation and velocity."
Coordinates: 480, 440 (hip/shoulder alignment)
What This Means: This is the most critical mechanical flaw. Hip-shoulder separation creates the "rubber band effect" that generates power. When they rotate simultaneously, the pitcher loses this energy storage mechanism.
Event 4 - 0:08.7 (CRITICAL)
"The arm has to work harder to generate speed because the body has already uncoiled too early."
Coordinates: 630, 410 (arm position)
What This Means: This is where injury risk skyrockets. When the body opens early, the arm must compensate by working in isolation to generate velocity, dramatically increasing stress on the UCL and shoulder.
Event 5 - 0:08.9 (MINOR)
"Your momentum is pulling you hard towards the first base side, indicating rotational inefficiency."
Coordinates: 705, 555 (finish position)
What This Means: The sideways drift reveals that the kinetic chain isn't transferring energy efficiently forward. Energy is leaking laterally instead of toward the plate.
Event 6 - 0:09.2 (MINOR)
"Unbalanced finish. Focus on getting your chest over your front knee to control your deceleration."
Coordinates: 750, 560 (final position)
What This Means: Poor deceleration increases stress on the shoulder and elbow during follow-through. A balanced finish distributes forces more safely.
Safety Score: 50/100
Interpretation: This score indicates significant mechanical issues that should be addressed to reduce injury risk. Scores below 70 trigger warnings in the app.
Injury Risk Assessment
Primary Concerns:
"Early trunk rotation significantly increases stress on the UCL (elbow) and shoulder joint as the arm is forced to 'catch up' and generate velocity in isolation."
This is the exact mechanism behind most Tommy John surgeries in youth pitchers. The AI identified it from a 10-second smartphone video.
Detailed Mechanics Assessment
Hip-Shoulder Separation (Most Critical Area):
"The hips and shoulders rotate almost simultaneously, which significantly limits the creation of torque. This is often referred to as 'opening up too early.'"
Overall Efficiency:
"The kinetic chain is inefficient. Energy transfer from the lower body is being leaked due to the premature rotation of the upper body, resulting in lost velocity and increased arm strain."
Arm Path:
"The arm path itself is relatively clean, but it's forced to compensate for the early trunk rotation, putting extra stress on the shoulder and elbow to generate velocity."
Follow-Through:
"The follow-through is uncontrolled and results in an unbalanced finish, falling off to the side instead of finishing over the front leg in a stable fielding position."
Stride Mechanics:
"The stride direction is slightly open, causing the body to spin off towards the first-base side upon landing and follow-through."
Technique Tips (Actionable Coaching Cues)
The AI provided three specific drills/focus areas:
- "Focus on keeping your front shoulder closed toward the target for as long as possible during your stride."
This addresses the Event 2 issue (early shoulder opening) - "Initiate your rotation by driving your front hip open first, allowing your torso to stay back and create a 'stretch' before it rotates."
This fixes the Event 3 critical issue (simultaneous hip-shoulder rotation) - "Work on finishing with your chest over your front knee to improve balance and proper deceleration."
This corrects the Event 6 finish issue
Supplementary Analysis (Audio Coaching Summary)
The system also generated a 60-second audio summary explaining:
- Why the mechanical issues matter
- How they connect to injury risk
- The recommended correction sequence
- When to seek in-person coaching if issues persist
Final Recommendation:
"Your safety score is 50 out of 100, which indicates significant mechanical issues that should be addressed. I recommend working with a pitching coach to correct these timing problems before they potentially lead to injury."
The Technology Comparison: What AI Can and Can't Do
Now for the honest part. Here's a transparent comparison of what each technology does well and where it falls short.
What High-End Systems Do That AI Doesn't
Ball Flight Data ❌:
TrackMan and Rapsodo measure spin rate, velocity, break, and trajectory. AI analyzing video cannot measure these metrics—they require radar or high-speed ball tracking technology.
If you need to know: "Is my curveball spinning at 2,200 or 2,400 RPM?"—you need TrackMan or Rapsodo.
Precise Numerical Measurements ❌:
Motion capture labs measure joint angles to 0.1° accuracy. AI from single-camera video cannot achieve this precision.
If you need: "My elbow is at 87.3° at foot plant"—you need professional motion capture.
3D Analysis from Multiple Angles ❌:
Professional systems use multiple cameras or 3D tracking to capture movement from all perspectives. Smartphone-based AI analyzes from a single viewpoint.
If you need: Full 3D skeletal reconstruction—you need multi-camera motion capture.
Force Plate Data ❌:
Professional labs measure ground reaction forces, weight distribution, and force generation. AI cannot measure forces from video alone.
If you need: "I'm generating 1,200 Newtons of force at foot plant"—you need force plates and a professional lab.
What SportSensAI AI Does Better Than High-End Systems
Accessibility ✅:
Record with your smartphone, anywhere, anytime. No $30K equipment, no facility visits, no dedicated space required.
Frequency ✅:
Analyze 30 bullpens per month for $29. Professional labs? Maybe 2-4 sessions per year for $1,400+. High-end systems? You need to own them ($18K-$30K).
Immediate Feedback ✅:
Results in 30-60 seconds. Professional motion capture reports take 3-7 days. The AI tells you what's wrong while you're still at the field.
Actionable Coaching Cues ✅:
"Keep your front shoulder closed longer" is more useful than "Your shoulder was at 42° vs optimal 38°" for most athletes and coaches.
Ongoing Monitoring ✅:
Track mechanical changes week-over-week, catch degradation patterns, monitor injury risk continuously. Professional assessments are snapshots; AI is continuous monitoring.
Cost ✅:
$10/month vs $350/session vs $3K-$30K upfront. Not even close.
What SportSensAI AI Does Comparably to Professional Systems
- Biomechanical Assessment ✅: Identifies hip-shoulder separation issues, timing problems, arm path deviations, balance deficiencies—the same elements professional analysts examine.
- Injury Risk Identification ✅: Flags early trunk rotation, arm lag, excessive valgus stress—proven injury risk factors backed by research.
- Progress Tracking ✅: Monitors mechanical improvements over time, shows trend data, validates that corrections are working.
- Evidence-Based Feedback ✅: Coaching cues based on biomechanical principles, not generic advice. The real analysis example above demonstrates this.
Honest Limitations We Acknowledge
Single Camera Angle:
Best results require proper filming angle (side view for pitchers). Some mechanical issues are harder to detect from suboptimal angles.
Video Quality Dependent:
Poor lighting, shaky camera, or obstructed views reduce accuracy. Professional labs have controlled environments; smartphone videos don't.
AI Interpretation:
The system has ~80% agreement with expert human coaches in validation testing. That means in 20% of cases, there may be disagreement on severity or specific feedback.
Not a Replacement for Professional Assessment:
If you're recovering from surgery, have persistent pain, or are evaluating pro-level mechanics, professional motion capture provides precision AI cannot match.
No Ball Flight Metrics:
We'll say it again: If you need spin rate, you need radar technology. Video-based AI cannot measure ball flight data.
| Feature | TrackMan ($30K) | Motion Capture ($350/session) | SportSensAI ($10/month) |
|---|---|---|---|
| Ball Flight Data | ✅ Yes | ❌ No | ❌ No |
| Biomechanics Analysis | ⚠️ Limited | ✅ Professional | ✅ Advanced |
| Frequency | Unlimited* | 1-4x/year | 30x/month |
| Setup Required | Complex | Facility visit | Smartphone |
| Results Speed | Instant | 3-7 days | 30-60 seconds |
| Coaching Cues | ❌ No | ✅ Yes | ✅ Yes |
| Injury Risk Screening | ❌ No | ✅ Yes | ✅ Yes |
| Cost per Analysis | $0** | $350 | $0.33 |
| Geographic Accessibility | Facility-based | Limited locations | Anywhere |
| Best For | Pitch development | Professional assessment | Ongoing monitoring |
*Assuming you own the $30K unit | **After $30K investment
Decision Framework: Who Should Use What System
Let's cut through the marketing and provide honest guidance on which system makes sense for your situation.
Use TrackMan or Professional Ball Tracking If:
- College or professional level competition - At this level, precise ball flight data drives pitch development
- Advanced pitch repertoire development - Creating new pitches with specific movement profiles
- Scouting and recruitment purposes - Velocity and spin data are standard recruiting metrics
- Facility has budget for $30K+ equipment - Amortized across hundreds of athletes
Use Professional Motion Capture Facilities If:
- Returning from Tommy John or shoulder surgery - Professional biomechanist can identify compensations
- Persistent mechanical issues unresponsive to normal coaching - Complex problems may require professional analysis
- Pre-season baseline for serious college/pro prospects - Establishes benchmark for mechanical consistency
- Budget allows for quarterly professional check-ins - 2-4 sessions per year ($700-$2,000 annually)
Use SportSensAI AI Analysis If:
- High school, youth, or travel ball level - Budget constraints make $30K equipment unrealistic
- Limited budget ($29-50/month realistic) - Provides professional-quality insights at accessible price point
- Want ongoing feedback between professional assessments - Get professional baseline 2-4x per year, use AI for weekly monitoring
- Self-coaching or parent-coaching situation - No access to professional pitching coach
- Monitoring 10+ pitchers regularly (coaches) - AI scales coaching attention across entire team
- Training mechanics during off-season - Maintain mechanical consistency when coach isn't available
The Hybrid Approach (Recommended for Serious Players)
Zach Lush, CFSC, MPM:
"The ideal setup isn't choosing between professional analysis and AI—it's using both strategically. Get a professional biomechanics assessment at the start of your season to establish baselines and identify major issues. Then use AI to monitor those specific areas throughout the year. If the AI flags something new or concerning, that's when you go back to the professional. It's about intelligent resource allocation."
The Smart Strategy:
Quarterly Professional Assessment ($350 x 4 = $1,400/year):
- Start of pre-season: Establish baseline
- Mid-season: Validate mechanical consistency
- Post-season: Identify fatigue-related breakdown
- Pre-next season: Confirm readiness
Weekly AI Monitoring ($29/month = $348/year):
- 4-6 bullpens analyzed per month
- Track adherence to professional recommendations
- Catch mechanical drift early
- Flag issues for next professional session
Total Annual Cost: $1,520
Value: Professional precision + continuous monitoring
vs. Professional Only: $1,400 for 4 snapshots with no monitoring between
vs. AI Only: $120 but no professional baseline validation
For families investing in baseball development, this hybrid approach provides the best risk mitigation and performance optimization.
Conclusion: Democratizing Baseball Biomechanics Analysis
Ten years ago, biomechanics analysis was exclusively available to professional and well-funded college programs. Five years ago, the technology began trickling down to elite high school programs with deep pockets.
Today, we're at an inflection point.
The Los Angeles Dodgers are using AI to prevent injuries. The Baltimore Orioles are partnering with universities to develop computer vision systems that analyze mechanics from game footage. Wake Forest's pitching lab is helping athletes get drafted in the top 100.
Meanwhile, research published in peer-reviewed journals demonstrates that AI can detect "patterns in pitching mechanics—previously unobservable to the human eye."
The technology is validated. The research is sound. The professional teams are adopting it.
What's changing is accessibility.
A high school pitcher in rural Iowa can now get biomechanics feedback comparable to what college programs were using five years ago—for $29 per month and a smartphone. That's not hyperbole; that's what the real analysis example in this article demonstrates.
This doesn't mean AI replaces professional assessment. A pitcher recovering from Tommy John surgery should absolutely visit a professional motion capture facility. A pro prospect optimizing spin rates needs TrackMan data.
But for the 99% of baseball players who aren't pro prospects—the high school athletes, the travel ball pitchers, the kids learning mechanics in their backyard—AI-based biomechanics analysis represents something profound: access to injury prevention and performance optimization that was previously out of reach.
The goal isn't to compete with $30,000 professional systems on their terms. The goal is to make baseball safer and more effective at every level.
When a 14-year-old pitcher uploads a bullpen video and receives feedback identifying early trunk rotation before it becomes a UCL tear, that's not replacing professional coaching—that's democratizing access to information that can literally save a career.
When a high school coach managing 25 pitchers can review AI-flagged mechanical issues in 15 minutes instead of trying to watch 25 simultaneous bullpens, that's not replacing human expertise—that's scaling it intelligently.
The future of baseball biomechanics isn't choosing between expensive professional systems and affordable AI. It's using each appropriately:
- Professional systems for precision measurements, ball flight data, and clinical-grade analysis
- AI systems for ongoing monitoring, injury risk screening, and accessible coaching feedback
- Human coaches for program design, athlete development, and judgment that technology cannot replace
We're not trying to make AI do everything. We're trying to make biomechanics analysis available to everyone.
That's the difference worth talking about.
Try SportSensAI Yourself
Ready to see what $10/month AI biomechanics analysis looks like in practice?
For Individual Players:
For Coaches and Teams:
- Request a team demo to see the coach dashboard
- Monitor mechanics across your entire pitching staff
- Identify injury risks before they become surgeries
- Scale your coaching attention across 50+ athletes
For Questions or Custom Solutions:
Email us at hello@sportsensai.com
We're building this technology for coaches and athletes—your feedback shapes the product
References & Research
Academic Research
- University of Waterloo - PitcherNet: Powering the Moneyball Evolution in Baseball Video Analytics (IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024)
- Washington University St. Louis - AI Could Transform Baseball (McKelvey School of Engineering)
- Wake Forest University Pitching Lab
- Wake Forest - Bridging Biomechanics to Baseball (Dr. Kristen Nicholson)
- arXiv - Neural Network-Based Tracking and 3D Reconstruction of Baseball Pitch Trajectories
- Scientific Reports - Leveraging Graph Neural Networks for Pitching Speed Prediction
- Journal of Biomechanics - Machine Learning for Fastball Velocity Prediction
Professional Baseball & Technology
- AI is Transforming Major League Baseball
- The Smart Playbook: How AI is Reshaping MLB
- University of Waterloo - PitcherNet Helps Researchers Throw Strikes with AI Analysis
- Driveline Baseball - Rapsodo, TrackMan, and Pitch Tracking Technologies
- TopVelocity - Pitch Tracking Technologies: TrackMan, Rapsodo, & More
- The Hardball Times - Comparing Rapsodo to Other Pitch Trackers
- Sports Illustrated - The Tech Boom Fundamentally Altering Baseball
About the Authors: Scott Alan Turner is an ML engineer focused on computer vision applications in sports performance. Zach Lush, CFSC (Certified Functional Strength Coach) and MPM (Mental Performance Mastery) certified, is a strength coach with over a decade of experience. Together they built SportSensAI, an AI-powered strength coaching platform currently used by high school teams and individual athletes. Connect on LinkedIn or Twitter/X.