Redefining AI in sports
The Performance AI for Team Sports
Shopify
SEO
UI/UX
SaaS
App
Statcut App
Redefining AI in sports
Track every shot, sync your biometrics, and see your game in full context — across teammates and opponents.
Client
Statcut
Released
May 1, 2025
Timeframe
In progress
Project Type
The Performance AI for Team Sports
Technology
Python FastAPI Flask PostgreSQL Redis Docker React.js D3.js Tailwind PyTorch OpenCV TensorFlow and more…
Statcut App
Overview
The result is an MVP that starts simple, but is built on an architecture that scales to advanced team-wide dashboards, predictive insights, and cross-sport expansion. By focusing on team context as much as individual stats, Statcut delivers clarity, not noise, and lays the foundation for smarter training, scouting, and competition.
In a sports landscape filled with generic fitness trackers and siloed performance apps, Statcut set out to build a platform designed specifically for the realities of team sports. The challenge was to create a tool that could capture the complexity of live gameplay while staying lightweight, intuitive, and accessible to athletes at every level.
Statcut App
The Challenge
Traditional sports performance tools presented significant barriers to everyday use, with most athletes relying on manual stat-keeping or limited fitness apps that fail to capture game context. Data often lived in silos — heart rate on one device, video on another — leaving players and coaches to connect the dots themselves.
Video analysis platforms, while powerful, typically demanded specialist knowledge, hours of manual tagging, and expensive hardware, putting them out of reach for youth athletes and smaller programs. The result was fragmented, inaccessible insights that rarely translated into actionable improvements.
Statcut App
The Solution
We developed an AI-driven shot and play tracking system that eliminates the need for manual stat-keeping, giving athletes instant accuracy without the burden of data entry. The lightweight tagging interface balances automation with user control, making it accessible to both beginners and advanced players.
Python FastAPI Flask PostgreSQL Redis Docker React.js D3.js Tailwind PyTorch OpenCV TensorFlow and more…
Our biometric integration overlays fatigue and recovery trends directly onto gameplay data, replacing fragmented fitness readings with a single, unified performance view. By tying physical signals to real actions on the court, athletes gain clarity into how their bodies impact their game.
Statcut App
Performance Results
The result is a platform that delivers professional-grade insights in a form athletes and coaches can actually use. Players can see their shooting efficiency, track progress over time, and connect performance to real game situations without complex setup or costly equipment.
User Adoptability
Fitness app users access their app 10+ times per week
30 day User Retention
Team and Social Elements add stickiness
Market Impact
Opens up advanced analytics to youth, amateur, and semi-pro athletes
By combining simplicity with depth, Statcut turns fragmented data into a complete performance picture — giving athletes at every level the clarity once reserved for elite programs, while coaches gain a unified view of team performance, from individual contributions to opponent-specific trends, enabling smarter tactical adjustments in practice and competition.
Statcut App
Coming Updates
Our long-term vision is to become the performance engine for all team sports, uniting video analytics, biometrics, and AI into a single platform. By expanding into soccer, volleyball, football, and beyond, Statcut has the potential to transform how millions of athletes and coaches worldwide measure improvement, scout opponents, and reduce injury risk. As predictive analytics and multimodal AI mature, Statcut will shift from tracking the past to forecasting the future — empowering athletes and teams with the kind of clarity and foresight once reserved for the highest levels of professional sport.
Statcut App
Credits
Chloe Nevarez
M. BiIal
Lars Svensson
Maya Patel
Founder, CPO
UXUI
ML Engineer and Back End
Front End
Next Project
Redefining AI in sports
The Performance AI for Team Sports
Shopify
SEO
UI/UX
SaaS
App
Statcut App
Redefining AI in sports
Track every shot, sync your biometrics, and see your game in full context — across teammates and opponents.
Client
Statcut
Released
May 1, 2025
Timeframe
In progress
Project Type
The Performance AI for Team Sports
Technology
Python FastAPI Flask PostgreSQL Redis Docker React.js D3.js Tailwind PyTorch OpenCV TensorFlow and more…
Statcut App
Overview
The result is an MVP that starts simple, but is built on an architecture that scales to advanced team-wide dashboards, predictive insights, and cross-sport expansion. By focusing on team context as much as individual stats, Statcut delivers clarity, not noise, and lays the foundation for smarter training, scouting, and competition.
In a sports landscape filled with generic fitness trackers and siloed performance apps, Statcut set out to build a platform designed specifically for the realities of team sports. The challenge was to create a tool that could capture the complexity of live gameplay while staying lightweight, intuitive, and accessible to athletes at every level.
Statcut App
The Challenge
Traditional sports performance tools presented significant barriers to everyday use, with most athletes relying on manual stat-keeping or limited fitness apps that fail to capture game context. Data often lived in silos — heart rate on one device, video on another — leaving players and coaches to connect the dots themselves.
Video analysis platforms, while powerful, typically demanded specialist knowledge, hours of manual tagging, and expensive hardware, putting them out of reach for youth athletes and smaller programs. The result was fragmented, inaccessible insights that rarely translated into actionable improvements.
Statcut App
The Solution
We developed an AI-driven shot and play tracking system that eliminates the need for manual stat-keeping, giving athletes instant accuracy without the burden of data entry. The lightweight tagging interface balances automation with user control, making it accessible to both beginners and advanced players.
Python FastAPI Flask PostgreSQL Redis Docker React.js D3.js Tailwind PyTorch OpenCV TensorFlow and more…
Our biometric integration overlays fatigue and recovery trends directly onto gameplay data, replacing fragmented fitness readings with a single, unified performance view. By tying physical signals to real actions on the court, athletes gain clarity into how their bodies impact their game.
Statcut App
Performance Results
The result is a platform that delivers professional-grade insights in a form athletes and coaches can actually use. Players can see their shooting efficiency, track progress over time, and connect performance to real game situations without complex setup or costly equipment.
User Adoptability
Fitness app users access their app 10+ times per week
30 day User Retention
Team and Social Elements add stickiness
Market Impact
Opens up advanced analytics to youth, amateur, and semi-pro athletes
By combining simplicity with depth, Statcut turns fragmented data into a complete performance picture — giving athletes at every level the clarity once reserved for elite programs, while coaches gain a unified view of team performance, from individual contributions to opponent-specific trends, enabling smarter tactical adjustments in practice and competition.
Statcut App
Coming Updates
Our long-term vision is to become the performance engine for all team sports, uniting video analytics, biometrics, and AI into a single platform. By expanding into soccer, volleyball, football, and beyond, Statcut has the potential to transform how millions of athletes and coaches worldwide measure improvement, scout opponents, and reduce injury risk. As predictive analytics and multimodal AI mature, Statcut will shift from tracking the past to forecasting the future — empowering athletes and teams with the kind of clarity and foresight once reserved for the highest levels of professional sport.
Statcut App
Chloe Nevarez
M. BiIal
Lars Svensson
Maya Patel
Founder, CPO
UXUI
ML Engineer and Back End
Front End
Next Project
Redefining AI in sports
The Performance AI for Team Sports
Shopify
SEO
UI/UX
SaaS
App
Statcut App
Redefining AI in sports
Track every shot, sync your biometrics, and see your game in full context — across teammates and opponents.
Client
Statcut
Released
May 1, 2025
Timeframe
In progress
Project Type
The Performance AI for Team Sports
Technology
Python FastAPI Flask PostgreSQL Redis Docker React.js D3.js Tailwind PyTorch OpenCV TensorFlow and more…
Statcut App
Overview
The result is an MVP that starts simple, but is built on an architecture that scales to advanced team-wide dashboards, predictive insights, and cross-sport expansion. By focusing on team context as much as individual stats, Statcut delivers clarity, not noise, and lays the foundation for smarter training, scouting, and competition.
In a sports landscape filled with generic fitness trackers and siloed performance apps, Statcut set out to build a platform designed specifically for the realities of team sports. The challenge was to create a tool that could capture the complexity of live gameplay while staying lightweight, intuitive, and accessible to athletes at every level.
Statcut App
The Challenge
Traditional sports performance tools presented significant barriers to everyday use, with most athletes relying on manual stat-keeping or limited fitness apps that fail to capture game context. Data often lived in silos — heart rate on one device, video on another — leaving players and coaches to connect the dots themselves.
Video analysis platforms, while powerful, typically demanded specialist knowledge, hours of manual tagging, and expensive hardware, putting them out of reach for youth athletes and smaller programs. The result was fragmented, inaccessible insights that rarely translated into actionable improvements.
Statcut App
The Solution
We developed an AI-driven shot and play tracking system that eliminates the need for manual stat-keeping, giving athletes instant accuracy without the burden of data entry. The lightweight tagging interface balances automation with user control, making it accessible to both beginners and advanced players.
Python FastAPI Flask PostgreSQL Redis Docker React.js D3.js Tailwind PyTorch OpenCV TensorFlow and more…
Our biometric integration overlays fatigue and recovery trends directly onto gameplay data, replacing fragmented fitness readings with a single, unified performance view. By tying physical signals to real actions on the court, athletes gain clarity into how their bodies impact their game.
Statcut App
Performance Results
The result is a platform that delivers professional-grade insights in a form athletes and coaches can actually use. Players can see their shooting efficiency, track progress over time, and connect performance to real game situations without complex setup or costly equipment.
User Adoptability
Fitness app users access their app 10+ times per week
30 day User Retention
Team and Social Elements add stickiness
Market Impact
Opens up advanced analytics to youth, amateur, and semi-pro athletes
By combining simplicity with depth, Statcut turns fragmented data into a complete performance picture — giving athletes at every level the clarity once reserved for elite programs, while coaches gain a unified view of team performance, from individual contributions to opponent-specific trends, enabling smarter tactical adjustments in practice and competition.
Statcut App
Coming Updates
Our long-term vision is to become the performance engine for all team sports, uniting video analytics, biometrics, and AI into a single platform. By expanding into soccer, volleyball, football, and beyond, Statcut has the potential to transform how millions of athletes and coaches worldwide measure improvement, scout opponents, and reduce injury risk. As predictive analytics and multimodal AI mature, Statcut will shift from tracking the past to forecasting the future — empowering athletes and teams with the kind of clarity and foresight once reserved for the highest levels of professional sport.
Statcut App
Chloe Nevarez
M. BiIal
Lars Svensson
Maya Patel
Founder, CPO
UXUI
ML Engineer and Back End
Front End
Next Project
