Full Stack Developer for Football Analytics Platform

@diektech

Hi — Elias here from Miami. I see you're looking to build the Scoutin Analytics platform. The goal seems to be creating a robust tool for football analytics that effectively handles data and provides insights. A common issue in systems like this is ensuring scalability and maintainability. As data grows and user engagement increases, the architecture must support high performance and easy updates. The tricky part is usually managing data visualization while keeping the user interface intuitive. I recommend structuring the application with a modular approach, using Node.js for a responsive backend and PostgreSQL for reliable data management. This setup allows for easy integration with various data sources and future expansion, ensuring your platform can evolve as new needs arise. I've developed similar analytics platforms focused on data integrity and user experience, helping to prevent common pitfalls during deployment and scaling. A few questions to better understand the scope: Q1 – What types of user roles will need to be managed? Q2 – Are there specific data sources or APIs you plan to integrate? Q3 – What are your expectations regarding user traffic and data volume in the first year? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@infowider11

Hello, Hope you are doing well. With our 10+ years of experience in web and full-stack SaaS development, we are confident that we can build your Scoutin Analytics football intelligence platform with scalable architecture, dashboards, video analysis modules, and role-based systems that meet your MVP requirements. Looking forward to hearing from you. Best Regards, Shweta

@irsolutions

With over a decade of experience in full-stack architecture and high-scale systems, I understand the importance of creating a centralized platform like Scoutin Analytics for football clubs, coaches, and recruitment teams. My background in scaling systems for over 1 million users, particularly in high-security FinTech projects, directly translates to the challenges of developing a robust football analytics platform like yours. One strategic insight I would like to offer is implementing AI-powered event detection for match analysis to enhance the platform's capabilities. My past success in building and scaling Telegram Mini Apps for a large user base showcases my ability to handle complex projects like this. I encourage you to reach out so we can discuss how I can support your project goals. Let's connect to discuss the roadmap and ensure a successful partnership in developing the Scoutin Analytics platform.

@rahuliitm69

Hi there, I have worked on SaaS and analytics platforms involving dashboards, reporting, role-based access, and video workflows, and I can share relevant projects during our discussion. I've gone through the requirements, and I understand that this is much more than a statistics dashboard. The Match Analysis module is the heart of the platform, so I would approach the project in phases rather than trying to build everything together. I would start with the foundation, including authentication, role-based permissions, club dashboards, player profiles, and reporting. Once that is in place, I would focus on the match analysis workflow with video uploads, playback, event tagging, timelines, and clip generation, since these are the features that will provide the most value to clubs, analysts, and scouts. After that, I would build the recruitment and squad management modules while keeping the architecture ready for future AI capabilities such as automated event detection, player tracking, tactical analysis, and recruitment recommendations. I have a few questions around the data sources, video storage requirements, and whether player statistics will come from external providers or be entered manually. I am available for long term collaboration and would be happy to connect once so we can discuss the best architecture, milestones, timeline, and roadmap for the MVP. Thanks, Rahul A.

@n2rtechnologies

Hi, I've built full stack analytics platforms with Node.js and PostgreSQL. You need real-time data visualization for football insights—I can deliver that cleanly with a solid API layer and responsive UI. Message me to discuss the scope. Best Regards, Hasan

@tkach11

Hi! This sounds like a very interesting project! I think my skills will greatly benefit your team! :) Would you be open to a quick chat to see if it's a fit?

@DeveloperStation

Hi there, We’ve developed a similar product called Descripio, where we integrated AI to analyze Amazon product listings and generate optimized titles, images, and A+ content. We also built a Chrome extension to extract product reviews and used NLP to summarize them into actionable insights. We can use the same AI model we trained for Descripio to analyze product reviews and extract key insights, which can then be used to generate optimized titles and images. As a full-stack developer with 15 years of experience, I’ve worked extensively with both front-end and back-end technologies. I’m also a team player who enjoys collaborating with others to achieve the best results. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit for your needs. Feel free to message me anytime—I usually respond within 10 minutes. I’m eager to learn more about your exciting project. Best, Adil

@temoberishvili

I see you're looking for a Full Stack Developer for Scoutin Analytics, which sounds like a great project in the football analytics space. I’ve worked extensively with Node.js and PostgreSQL, so I can help you build a solid backend for your platform. Understanding data visualization and analysis is key for your goal of enhancing football scouting, and I have around 10 years of experience crafting user-friendly interfaces that effectively present complex data. Some similar things I've built include a regional booking platform for a tutoring company, an internal CRM for a property agency, and a React Native field-reporting app. Let’s create something great together. Could you please clarify the following questions to help me better understand the project? Q1: What specific features do you envision for the data visualization component? Q2: Are there any particular AI functionalities you want to implement in the analytics? Q3: What user roles do you anticipate for the platform, and how do you see their interactions?

@pradeep9266

Hello, Greetings I’m a Full Stack Developer with 14+ years of experience building scalable SaaS platforms, analytics dashboards, enterprise applications, and role-based systems. I can help architect and develop the complete platform, including player profiles, match analysis, scouting, recruitment, reporting, and future AI-ready architecture. I would be happy to discuss the scope, timeline, and technology recommendations in detail. Looking forward to connecting. Best Regards, Pradeep

@Hrolgar

What "AI-driven analysis" means at the data level is the first thing worth aligning on: statistical scoring models built on ingested match events, or LLM-generated scouting summaries derived from structured per-player metrics. The answer changes the schema design and whether Postgres window functions carry the full computation load or you need a separate inference step running alongside it. Here is how I would structure the build: M1: Schema + ingestion pipeline (players, matches, events, raw stats), $510, 3d. M2: Metrics computation layer (aggregates, rolling averages, per-90 stats, position benchmarks), $510, 4d. M3: Scouting dashboard (filterable player and team views, comparison charts, match timeline), $560, 5d. M4: AI analysis module (scoring model or LLM-driven scouting text, scope confirmed after M2 data model is live), $510, 5d. M5: User auth, admin tools, deployment, performance tuning, $460, 4d. Node and Postgres handle this well at moderate data volumes. Window functions and CTEs in Postgres do the metric computation without a separate analytics store. Visualizations stay lightweight by aggregating server-side and pushing summary data to the chart layer rather than raw event rows. One thing that shapes M1 early: is the football data coming from an external API (StatsBomb, Wyscout, an internal feed) or is this manual entry? Pull-based and push-based ingest have different table shapes, and that is faster to align on before the schema is written than after.

@craigd43

Having worked extensively in full-stack web development using a variety of languages including PHP, C#, and Node.js, I have gained the technical expertise and experience to take on a project of this nature. Specifically, my knowledge of Node.js is valuable for the desired backend functionality of your football analytics platform. Moreover, my proficiency in data analysis and management will be particularly useful for designing powerful modules such as Match Analysis and Player Profiles, ensuring detailed and comprehensive analytics are readily accessible. Finally, the success of this project hinges greatly upon an efficient database design combined with a scalable architecture. With my sound grasp on database management and cloud environments like AWS or Azure, I'm confident that I can provide an infrastructure that meets your long-term requirements. In conclusion, I bring not only the necessary technical skills but also a deep appreciation for data-driven decision-making in sports industry that will undoubtedly benefit Scoutin Analytics significantly. I look forward to playing a vital role in elevating

@mobiwebsolutions

✋ Hi There!!! ✋ THE GOAL OF THE PROJECT:- BUILD A SCALABLE FULL STACK FOOTBALL ANALYTICS SAAS PLATFORM WITH DASHBOARDS, PLAYER DATA, MATCH ANALYSIS, SCOUTING AND REPORTING MODULES I carefully reviewed the complete requirement for an advanced sports intelligence system with video analysis, role based access, and scalable architecture for future AI features I am best fit because I have strong experience in building complex SaaS platforms with analytics dashboards, large databases, and media processing systems 1 development of club dashboard, player profiles, and performance visualization 2 match analysis system with video upload, tagging, clips and statistics tracking 3 recruitment module with filters, comparisons, and reporting system with exports UI design, database management, API integration, testing, and full source code delivery at completion 9+ years experience as full stack developer with similar SaaS and analytics based platforms I have delivered comparable systems involving dashboards, role based systems, and data driven reporting tools Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@sekai1116

Hello! My name is Jiayin and I specialise in the design and development of scalable, high-performance web applications and SaaS platforms. In my extensive experience, I've delivered complex systems, similar to your Football Analytics Platform, including SaaS platforms, admin dashboards, marketplaces and subscription-based services. What sets me apart is my dedication to building reliable backend systems, responsive frontends and well-structured APIs that support long-term scalability and business growth. Not only do I possess the technical skills necessary for this project, but I also see the bigger picture of what it takes to develop and maintain this kind of platform. Building on my experience in SaaS & Web Platforms as well as CMS & E-commerce, I understand the importance of a smooth user experience, secure data management system and highly-responsive backend architecture. If given this opportunity, I will endeavor to bring all these qualities together to help Scoutin Analytics become a game changer in the football industry. Thank you for your consideration!

@vinhtq0703

✅ 100% Job score + Football fan I am a full stack developer with 10 years of experiences, I am confident to build the project according to your needs. If you don't like my work, don't need to pay me. I want to chat with you to discuss in detail. Best regards, Vinh

@ashinnd84

Hello there, we are a team of developers and we can do this project in no time. Thanks Ashish Kumar.

@vladang

This sounds like you’re trying to unify everything a football club already does across spreadsheets, video tools, and scouting notes into one working system. I’d start by shaping the core Postgres schema around players, matches, events, and roles so every module is anchored to the same source of truth. Then I’d build the backend first with ingestion APIs for match stats and video uploads, storing media in S3-like storage, then move into the dashboard and player profile endpoints that pre-aggregate performance metrics for speed. After that, I’d implement match tagging with a timeline-based UI, making sure concurrent tagging doesn’t overwrite events. Reporting comes last with cached exports to PDF/Excel. I worked on a similar role-based analytics dashboard in Bubbl using Nuxt and Express. One improvement would be caching key performance indicators per match to avoid recomputing heavy stats on every load. How are match videos sourced, and do you have event data?

@MIndlabsAi6

Hey there, As a seasoned Full Stack Developer with 25 years of experience in PostgreSQL, Software Development, API, Data Management, and more, based in Perth, Australia, I'm excited about the opportunity to work on the Football Analytics Platform project. I understand the project's core modules, such as the Club Dashboard, Player Profiles, Match Analysis, Recruitment & Scouting, Squad Management, Reporting System, and User Roles & Permissions. I would approach this project by designing a scalable architecture and implementing a secure data management system to ensure seamless functionality across all modules. Let's discuss further details and kick off this project. Looking forward to collaborating with you. Cheers, Vishal Maharaj

@ahmedaaalnaasan

يمكنك استخدام العرض التالي: Hello, We are a professional full-stack development team with more than 10 years of experience building custom SaaS platforms, analytics systems, and data-driven applications. Our team has extensive expertise in designing scalable architectures, interactive dashboards, reporting systems, and advanced search and analysis tools. We can develop the Scoutin Analytics MVP from end to end, including club dashboards, player profiles, match analysis, video management, scouting and recruitment modules, squad management, and professional reporting capabilities. Our focus is on delivering a secure, high-performance platform with an intuitive user experience and a scalable foundation for future growth. From UI/UX design and backend architecture to API development, testing, deployment, and post-launch support, we provide complete technical execution and long-term collaboration. We look forward to discussing your vision and building a powerful football intelligence platform that helps clubs and analysts make smarter decisions.

@XRProConnect

Hi there, This project instantly caught my eye, so I had to reach out. I see you're looking for a Full Stack Developer for a Football Analytics Platform, focusing on player data, match analysis, and performance insights. I've helped businesses boost performance through high-converting websites, data analytics, and AI integration. Feel free to request samples of my successful projects. Based on what you mentioned, here is how we would approach the project: - Develop a user-friendly Club Dashboard - Create detailed Player Profiles - Implement a robust Match Analysis Module - Design a comprehensive Recruitment & Scouting Module - Ensure efficient Squad Management - Establish a detailed Reporting System - Set up a secure User Roles & Permissions system Rest assured, we will prioritize clear communication and deliver a seamless, user-focused solution optimized for performance. Best Regards, XRProConnect