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How a Youth Soccer Club Replaced Manual Coaching Assessments With an AI Soccer Training App That Tracks Every Player's Progress in Real Time

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Impact

90%

Skill assessments automated

50X

Increase in training data captured per session

3X

Improvement in player development tracking

Project Overview

A youth soccer club in Europe was managing player development entirely through manual coaching assessments, clipboards, verbal feedback, and coach memory. There was no standardized way to track skill progression across players, age groups, or training sessions. Coaches had no data. Parents had no visibility. Players had no feedback between sessions. Tezeract was engaged to design and build Upstar, a custom AI-powered soccer training app that analyzes player movement from video, scores skill execution in real time, and provides coaches, parents, and players with a single shared view of development progress.

What Changed

Coaches now assign drills, track completion, and review AI-scored performance data across their entire squad, without adding hours to their workload. Players get real-time feedback during solo practice.

Upstar
Upstar
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Upstar

Tezeract delivered high-quality output within the agreed-upon schedule, exceeding all expectations. Their exceptional communication and AI expertise help us succeed.

Adam Gawron, CEO of upstar, AI-powered soccer coaching app for skill improvement

Adam Gawron, Chairman & CEO

Upstar - AI Virtual Coach

Customer Profile

Upstar Players Club R&L GmbH is a Germany-based youth football training company built by a working coach for young players. The organisation set out to give kids a structured way to practice, with real feedback, clear progress tracking, and training that stays engaging without a coach present at every session.

Client Name

Adam Gawron, CEO & Founder

Industry

Sports - Youth Football Training

Business Model

B2C (player and parent-facing app) + B2B (club licensing)

Location

Germany, Europe

Target Audience

Young players,, and youth football coaches

Decision Maker

Chairman & CEO

Company Stage

Early-stage - concept to product build

Pain Point

No scalable way to deliver consistent, real-time feedback to players training alone

Prior Tech Stack

Manual coaching assessments, verbal feedback, no digital tracking

Why This Matters for Buyers Like You?

If you’re building a sports training product or running a club where coaches can’t be everywhere at once, Upstar’s challenge will look familiar. The gap between what a coach can observe in a session and what actually happens during solo practice is universal. The system Tezeract built closes that gap at scale.

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The Challenge

One Coach, Hundreds of Players, Zero Real-Time Feedback

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01

Primary Problem

Youth players training at home had no way to get consistent, reliable feedback on their technique. One coach could not fairly assess every player, every session. The result was uneven development, slow progress, and players losing motivation without knowing if they were improving.

Secondary Challenges

No scalable feedback loop

Manual coaching reviews didn’t scale. Players waited days for feedback, if they got any at all. The gap between in-session coaching and at-home practice is a well-documented challenge in youth sports development, one that virtual sports coaching technology is now beginning to close at scale.

01

Accuracy risk

Any video-based scoring system that gave wrong ratings would break player and parent trust immediately. Achieving reliable results requires a purpose-built computer vision in sports pipeline.

02

Age-inappropriate feedback

Technical coaching language doesn’t work for young players. Feedback had to be simple, short, and encouraging.

03

Engagement drop-off

Without structure, goals, or feedback, solo practice felt pointless, and kids stopped showing up.

04

Facing Similar Challenges in Your Sports Training Setup?

If managing player progress, giving timely feedback, or scaling coaching feels difficult, you’re not alone. Let’s explore how AI can solve this for you.

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What Slowed Down Operations and Triggered the Need for Immediate Change

Previous Solutions Tried

Upstar evaluated prebuilt training apps, simple video-upload tools, and individual freelancers. None could deliver reliable AI-scored skill checks in a child-first product with a smooth mobile experience.

Business Impact

Without a dependable AI feedback system, Upstar couldn’t deliver a consistent standard for skill assessment across users, limit coaching time per player, or prove to clubs that the product worked at scale.

Urgency Factors

  • A working product was needed to validate the concept and unlock club partnerships
  • The youth training market was moving toward app-based development tools
  • Competitors were emerging, first-mover advantage mattered
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Journey Overview

Why Tezeract

Adam and his team had a clear product vision, but needed a technical partner who could turn it into a reliable, child-safe AI system without overcomplicating the build or blowing the budget.

Before approaching Tezeract, the Upstar team evaluated several options:

  • Pre-built training apps – too generic, no custom scoring logic
  • Simple video upload tools – no AI analysis, no feedback layer
  • Freelance developers – no AI depth, no project management structure

What mattered most to Adam when making the final decision:

  • Clear timelines and cost control
  • Proven AI and computer vision capability
  • A build plan that could scale from a consumer app into club-facing tools
  • Simple UX for young players.
  • A partner willing to build custom, not force a template

Why Tezeract won the evaluation:

Strong Clutch ratings and competitive pricing were the first filter. What closed it was Tezeract’s communication style, AI expertise, and willingness to treat Upstar as a product build, not just a development contract. A dedicated project manager was assigned from day one, and the team followed a structured delivery process throughout till the building of a robust soccer coaching software.

“Yes, the team put in great effort. A dedicated project manager was assigned, and the project was handled with a strong focus on AI, computer vision, video processing, and mobile app development throughout.”

– Adam Gawron, CEO & Founder, Upstar Players Club R&L GmbH

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The Solution

Upstar - A Custom AI Soccer Training App With Real-Time Skill Feedback

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Tezeract built Upstar as a fully integrated AI soccer training platform, not just a video upload tool. The goal was clear: give every player, parent, and coach a single system that makes solo practice as structured, measurable, and feedback-rich as a coached session.

How Upstar Works

A player records a short drill on their phone. The Upstar AI engine analyses body movement, technique, and execution against a defined skill rubric, then returns simple, age-friendly feedback the player can act on immediately. Scores are logged, progress is tracked over time, and coaches can monitor their entire squad without watching every clip manually.

Upstar, Key Capabilities

Key Capabilities Built

Upstar - icon

AI Video Skill Analysis

Computer vision model analyses player movement frame by frame, scoring ball control, mobility, speed, and technique against repeatable, coach-defined rubrics. This is the same principle behind modern AI sports video analysis, using frame-by-frame movement data to surface insights no human eye can consistently track.

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Real-Time Feedback Engine

Age-appropriate, plain-language tips returned immediately after each drill – short, positive, and actionable for young players

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Coach Dashboard

Squad-wide view of drill completion, skill scores, and progress trends, without manual review

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Parent Progress View

Simple weekly summary showing what their child practiced, how they scored, and where they’re improving

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Gamified Training Loop

Leaderboards, progress badges, and weekly targets keep players engaged and coming back

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Custom Drill Library

Skill tests and scoring rules built specifically around Upstar’s coaching methodology, ball control, mobility, speed, and finishing

The Data Flow

Upstar Flowchart

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Whether you run an academy or manage a team, we can help you build a system that delivers better training and clear progress tracking.

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Phases wise Deployment

01

Discovery & Product Scoping

Tezeract mapped the full user journey across twothree roles: young players, parents, and coaches. The team defined the skill framework, drill list, and scoring rubrics with Adam, and assessed the technical feasibility of video-based AI analysis on standard mobile hardware.

Key milestone: Skill rubric finalized. User stories are defined for bothall three roles. Technical approach confirmed.

Upstar

02

UX Design & Recording Flow

Screen designs were built for the recording interface, feedback view, progress dashboard, and parent summary. Special attention was given to making the recording flow simple enough for a child to use independently – clear instructions, minimal steps, no technical jargon.

Key milestone: UX screens approved. Recording flow validated with target age group in mind.

03

AI Model Build & Skill Testing

The computer vision model was trained on drill-specific movement patterns. Scoring logic was built and tested against real training clips across different lighting conditions, camera angles, and player body sizes. Feedback language was tuned to be age-appropriate and encouraging.

Key milestone: Model accuracy validated across core drill set. Feedback language approved by Adam.

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04

App & Backend Integration

The React Native mobile app, Python/Flask AI backend, and OpenCV processing pipeline were integrated and tested end-to-end. The coach dashboard and parent view were built and connected to the live scoring layer.

Key milestone: End-to-end system test completed. AI scoring to feedback delivery confirmed under 30 seconds.

05

Pilot, Iteration & Release

A controlled pilot was run with real players and parents. Feedback from the pilot informed final adjustments to scoring thresholds, feedback tone, and app UX before full release.

Key milestone: App released. All user roles onboarded. Ongoing monitoring in place.

Upstar, Deployment

Obstacles Countered and Resolved

Obstacles

Inconsistent AI scoring across different lighting, camera angles, and drill styles

Player engagement dropping off after the first week

Video upload and scoring performance at scale

Upstar

Resolution

Tightened video recording rules, improved model checks, and tuned scoring thresholds until results matched expected skill patterns consistently

Introduced gamified training loop, leaderboards, progress badges, and weekly targets, to sustain motivation and training consistency

Refactored the processing pipeline and improved response speed so players received feedback without significant wait time

Upstar

The Results

Upstar launched as a fully functional AI soccer training product, moving from concept to a live app over a structured one-year build. The impact was measurable across automation, engagement, and coaching efficiency.

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85%

Training steps automated, no manual coach input required

50X

Increase in player training data captured per session vs. manual tracking

3X

Improvement in player development tracking consistency across the squad

Before Upstar, every training week ended the same way:, coaches guessing who had actually put in the work coaches guessing who practiced and the individual feedback gi at home, parents unsure if their child was improving, and players with no feedback until the next session.

For players

1

Record a drill and get feedback within seconds

2

Clear and simple tips to improve skills right away

3

No waiting or second guessing

4

Instant insights after every practice

For Coaches

1

Complete view of team activity and performance

2

Track who trained, scores, and skill gaps easily

3

No manual review required

4

No need to follow up for updates

For the Club

1

Scalable player development system

2

Supports growing teams without increasing workload

3

Consistent training and performance tracking

4

Better results without adding more coaching hours

This mirrors the broader shift toward data-led athlete monitoring tools that give clubs visibility they previously had no way to access.

“Tezeract delivered a quality output within the agreed-upon schedule. Their communication and AI expertise were key elements of their work.”

Adam Gawron, CEO & Founder

Upstar Players Club R&L GmbH (via Clutch)

Upstar, Alan
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Tech stack used in developing an Automated soccer training app?

Optimizing Upstar with Our Cutting-Edge Artificial Intelligence Tech Stack

Python programming language for AI development

Python

Nest js language

Nest JS

MongoDB NoSQL database logo

MongoDB

React , React Native cross-platform framework icon, React JavaScript library logo

React Native

TensorFlow machine learning framework icon

Tensorflow

OpenCV computer vision library logo

OpenCV

Flask Python microframework icon

Flask

Yolo - Object detection algorithm

Yolo

Mediapipe - open-source framework developed by Google for building real-time, cross-platform AI and machine learning applications

Mediapipe

Tools & Technologies

Description

Mobile App Development

  • Utilized React native JS to build a responsive and user-friendly mobile app for young football players.

Backend Development

  • Implemented using Nest JS, ensuring robust and modular service management.

AI Server

  • Object Detection using YOLO
  • Detect and track ball and pole positions in real-time video frames.
  • Human Pose Estimation using MediaPipe
  • Calculate player shooting and passing speed based on time

Database Management

  • Used MongoDB for reliable, scalable, and efficient data storage.

Authentication and Security

  • Implemented encryption-based secure login to protect user data and privacy using JWT.

Cloud Infrastructure & Analytics

  • Deployed on AWS Lightsail, providing a secure, scalable, and cost-effective cloud environment.
  • Used Metabase for real-time analytics and reporting.

Development Tools

  • Visual Studio Code (VS Code) was used to enhance development efficiency and collaboration.

*Upstar’s cross-platform mobile experience was built using our mobile app development services, delivering a consistent player and coach experience across iOS and Android.

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Key Features

Upstar

AI Video Skill Analysis

Players record a short drill on their phone. The AI engine analyses movement, technique, and execution, then returns a score and clear feedback the player can act on immediately. No coach required.

Upstar

Real-Time Feedback Engine

Age-appropriate, plain-language tips delivered in under 30 seconds after every drill. Short, positive, and specific, built for young players, not coaching manuals.

Upstar

Coach & Club Dashboard

A full squad view of drill completion, skill scores, and progress trends, updated automatically after every session. Coaches see who’s improving, who needs support, and what to focus on next, without watching a single video manually.

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Gamified Training Loop

Leaderboards, progress badges, and weekly targets keep players engaged between sessions. Solo practice feels like a challenge, not a chore – and coaches can see the difference in consistency data.

Upstar

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Your questions answered here

Frequently Asked Questions

A club leader usually starts with a simple goal: help coaches coach, not do admin. We build soccer coaching software that fits your workflow, not the other way around. A custom build can include session planning, drill assignment, player goals, attendance, progress reports, and coach notes. If you want AI, we can add skill scoring, drill suggestions, and video feedback. We design it for real users, so setup is simple for non-tech staff and feedback is easy for kids to follow.

A director tries to scale coaching across many kids, while keeping training fun and consistent. An ai soccer coach helps by giving structured guidance between sessions and light support during sessions. It can suggest drills based on age, goals, and past performance, and it can prompt kids with simple cues that keep them moving. This helps with motivation, time limits, and coach workload. We build these tools so coaches stay in control, with overrides, notes, and team standards built into the system.

Yes. Many teams lose kids because training feels boring. We build an ai soccer training app that stays focused on short wins and clear goals. The app can use streaks, levels, and challenge cards that push skill growth without overload. We also design kid-safe feedback language that is easy to understand. Coaches can assign weekly targets and see who is slipping, so they can step in early. The result is better practice consistency, less family stress, and fewer dropouts.

A club often wants one plan that works in training and at home. Soccer training software can combine coach-led sessions with guided solo drills that players can follow on their own. We build systems that let coaches assign a weekly plan, track completion, and adapt drills per player level. Families get clear steps and a short daily routine, which helps when parents do not know soccer. This also reduces time spent searching for drills and makes progress visible over months.

A CEO wants growth, retention, and clear unit economics. An ai soccer app should raise engagement and reduce churn by giving each user a plan they can follow. For clubs, it should reduce coach time and improve consistency. We focus on features that link to business outcomes:

  • Personal training plans that adjust over time
  • Simple feedback that kids understand
  • Progress tracking that proves improvement
  • Coach tools that cut planning time
     We also build analytics so you can see what drives results, not just app usage.

A performance lead wants fair, repeatable evaluation that does not depend on one opinion. A soccer player evaluation ai agent is a tool we build to score players using your chosen rubric. It can combine video signals, drill outcomes, and coach ratings. It can output a clear scorecard with strengths, gaps, and next drills. We keep the scoring explainable, so coaches can trust it and players can act on it. This supports scouting, internal benchmarking, and player development reviews.

A CTO hears “AI” and asks what it really does. Ai soccer analysis can mean video-based skill checks, drill scoring, trend detection, and training plan suggestions. We start by defining what you want to measure, like first touch, ball control, passing form, or agility patterns. Then we choose the simplest model that meets the goal and can be tested. We also design for real-world video issues, like messy backgrounds and mixed lighting, so you do not ship a system that gives wrong ratings.

A club wants more than highlights. Software for soccer analysis can combine multiple data sources into one view:

  • Training video and drill clips
  • Coach notes and ratings
  • Session attendance and completion
  • Optional wearable data, if you have it
     We build the system around the decisions you need to make, like who needs extra touch work, who is at risk of dropping off, and which drills produce the best improvement. The goal is better coaching actions with less manual tracking.

We see this misspelling in real search logs. “software for socccer analysis” is usually the same intent as “software for soccer analysis.” You can cover it in a safe way by using the correct spelling in headings and body text, and placing the misspelling in a FAQ, alt text, or a short Q and A block. That way you capture the traffic without lowering page quality. We can also track which spelling converts and adjust.

A head coach often spends nights building plans and printing sheets. Soccer coach software should cut that time and raise session quality. We build tools that help coaches pick a goal, choose drills, and assign groups fast. It can also suggest session flows that reduce waiting and keep kids moving. Coaches can reuse templates, adjust for age, and track what worked. This helps fix low-quality planning and the “players standing in lines” problem that hurts engagement.

Yes. Adoption fails when setup is hard. We build soccer coach software with simple onboarding, clear buttons, and short steps. Coaches can create a session in minutes, not hours. Parents can see what the player should do at home without soccer knowledge. We also keep feedback plain and short for kids. This reduces support load and makes rollout smoother across teams. If you need multiple roles, we add permissions so club admins, coaches, and families each see only what they need.

A coach wants players to show up and try hard. Soccer apps for coaches help by turning goals into daily habits. We can add:

  • Weekly targets tied to the team plan
  • Small challenges that feel like games
  • Visible progress that kids understand
  • Coach nudges when a player goes quiet
     This supports motivation without pushing kids too hard. It also helps families keep practice short and steady, which reduces burnout and stress. The coach stays the leader, while the app handles reminders and tracking.

A club may have limited field time or players who miss sessions. Virtual soccer training helps fill the gaps with guided at-home work that links back to team goals. We build remote training tools that keep routines short and clear. Coaches can assign drills and see completion and progress trends. The system can also flag players who are falling behind, so a coach can act early. This works best when the club wants consistent development and a way to support busy families without adding coach hours.

A technical director wants one standard with room for coach style. Virtual soccer training for clubs works when your club sets a skill framework, then each team runs it with their own weekly plan. We can build role-based tools for academy heads, coaches, and families. Younger ages get simpler instructions and shorter drills. Older ages get more detail and higher intensity plans. Coaches can see who is training at home and who needs support. This reduces guesswork and makes development more consistent across the club.

A drill library gives choices. A virtual soccer trainer guides the player step by step and reacts to performance. We build systems that set goals, pick drills, explain them in kid-friendly language, and adjust the plan based on results. A coach can still review and change the plan. This is helpful for families that want structure and for clubs that need a repeatable way to support many players. It also helps keep training fun and short, which supports motivation and reduces burnout risk.

Yes. Many families want to help but do not know what to coach. A soccer learning app can teach basics through simple drills, short videos, and clear goals. We design it so a parent can follow along without jargon. For clubs, this also helps new volunteer coaches run better sessions. We can include age-based paths, progress badges, and weekly plans that match what the club teaches on the field. The aim is confidence and consistency, not overload.

Players training alone need quick correction. For an ai soccer coach, we can design feedback in two ways: fast feedback during a drill, or feedback right after a drill ends. The best choice depends on your device limits and camera setup. We also keep messages short and positive, so kids do not shut down. Coaches can pick the tone and level of detail. This closes the “no feedback during solo practice” gap and helps players build technique with repeatable drills.

Bad tracking breaks trust fast. For ai soccer analysis, we start with the drill list and define what the camera must see. We also add quality checks that detect poor lighting, bad angles, or missing body parts in frame. If video is not usable, we avoid scoring and ask for a retake. We test accuracy across ages and body sizes, since kids move differently. We also tune feedback language so it stays simple. This reduces wrong ratings and helps coaches trust the data.

A CTO usually wants an MVP that proves value fast. For an ai football coaching app, we plan a staged build:

  • Discovery to define users, drills, and success metrics
  • MVP with core flows, basic tracking, and a first AI model
  • Iteration with better scoring, personalization, and reporting
     A typical MVP can take weeks to a few months based on scope, data readiness, and video requirements. We staff it with product, mobile, backend, and ML, plus QA. We also include analytics so you can measure impact early.

A COO wants proof, not opinions. For soccer coaching software, we measure both time savings and player outcomes. Examples:

  • Coach time saved on planning and admin
  • Player training consistency outside sessions
  • Engagement signals that link to retention
  • Skill progress trends over weeks and months
     We agree on baseline metrics before build, then track changes after rollout. We also look at support load and adoption, since a tool that is hard to use will not pay back. This gives a clear view of ROI for clubs and product teams.

For beginners, pick soccer coaching software that is easy to run and easy to understand.

  • Start with 3 to 5 drills only
  • Require simple recording rules and clear scoring
  • Make sure the coach view is fast and the parent view is simple
  • Check for progress tracking over weeks, not only one-session scores
  • Plan rollout: one team, one month, then expand

If you cannot find a tool that fits your drill style, Tezeract can build custom AI soccer software tailored to your coaching method, scoring rules, and club workflow.

Rankings can change by region and store ratings. These are well-known options with strong AI or video-based coaching features.

  1. Upstar Players Club: Developed by Tezeract as an ai soccer training app with real-time feedback from video, skill checks, and progress tracking for youth players. See case study: Tezeract Upstar case study
  2. DribbleUp: Camera-based training with guided sessions and skill tracking, often used for at-home practice.
  3. Perfect Play (Chelsea FC): A coaching app developed with Chelsea, focused on drills and tracking via phone camera. Perfect Play site, background:
  4. CheckMotion: AI motion tracking that can be used for soccer form checks and movement review. CheckMotion
  5. JOGO: AI-focused player analytics and training support. JOGO

AI helps when it is used for repeatable, measurable work:

  • Real-time soccer feedback during solo practice
  • Consistent scoring for the same drill over time
  • Progress tracking for players, parents, and coaches
  • Faster review workflows for coaches and clubs
  • More personalized drill plans based on weak areas

Examples include:

  • Tezeract: builds custom AI-driven soccer coaching software and AI training apps tailored to your drills, users, and scoring rules (example: Upstar case study).
  • Pixellot: AI-based video coaching and analysis tools for clubs and teams. Pixellot Coaching
  • Playermaker: wearable-based player data and AI-led analysis concepts. Playermaker on AI in soccer
  • DribbleUp: camera-based home training app with feedback and tracking. iOS app
  • JOGO: AI training and analytics platform. JOGO

Ready to Build Your Own AI Sports Training App?

Upstar is one example of what’s possible when AI is built around your coaching methodology, not retrofitted from a generic tool. If you’re running a youth sports club, building a training product, or looking to scale player development without scaling your coaching hours, let’s talk.

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The Results

Commendable work by Team Tezeract!! Team Tezeract collaborated and communicated in a highly professional manner and delivered exactly what was asked in the desired time frame. Their project management and communication skills are highly appreciable.

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The Results

Commendable work by Team Tezeract!! Team Tezeract collaborated and communicated in a highly professional manner and delivered exactly what was asked in the desired time frame. Their project management and communication skills are highly appreciable.

Let's create my app
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