Backtester Desktop App- Sports Betting Data - ODDS SCRAPING- -- 2

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Desktop App for Back-Testing Sports Betting Models ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you are looking for a Windows-based desktop app to back-test your sports betting models. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for sports analytics apps. I will create an app that imports your Excel spreadsheets, applies custom filters, and provides key metrics like yield and ROI in real-time. ➡️ Why Me? I can easily build your desktop app with a user-friendly GUI as I have 5 years of experience in software development, specializing in data handling, GUI design, and performance optimization. My expertise includes working with Excel data, creating filtering systems, and integrating APIs. Furthermore, I have a strong grip on technologies like C#/WPF and Python with PyQt, ensuring a smooth and efficient application. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I'm excited to work on this and look forward to discussing it with you! ➡️ Skills & Experience: ✅ C#/WPF ✅ Python (PyQt, Tkinter) ✅ Excel Data Handling ✅ API Integration ✅ Data Scraping ✅ GUI Design ✅ Performance Optimization ✅ Real-time Data Processing ✅ User Experience Design ✅ Script Automation ✅ Metrics Calculation ✅ Database Management Waiting for your response! Best Regards, Zohaib

@techplusintl

Hi there, ★★★ Python / Web Scraping / C# Programming Expert ★★★ 7+ Years of Experience ★★★ I will develop a Windows-based desktop application to back-test your sports-betting models using the provided Excel spreadsheets. The process will involve the following key steps: 1. Analyze and understand the existing Excel data formats (10 hours) 2. Develop a script to import the Excel spreadsheets into the application (15 hours) 3. Design a user-friendly GUI with filter options and output displays (20 hours) 4. Implement real-time filtering and display of performance metrics (25 hours) 5. Integrate the Pinnacle API for odds data and automate data adjustments (15 hours) 6. Implement web scraping for additional odds data (30 hours) 7. Conduct testing and optimization to ensure performance criteria are met (15 hours) 8. Create a user guide detailing installation and usage (5 hours) Total estimated working hours: 125 hours What I need from you: 1. Access to the Excel spreadsheets containing historical bet data 2. Any specific requirements or preferences for the GUI layout 3. Clarification on the exact metrics needed for performance evaluation I look forward to connecting at your convenience to ensure the project's success. Best Regards, TechPlus Team

@corpmember29

Hello, I have carefully reviewed your requirements and fully understand the project scope, including the need for a Windows-based desktop backtester for sports betting data, capable of importing multiple Excel formats, applying dynamic filters, calculating metrics such as ROI, yield, max drawdown, P/L, and visualizing results in real-time. I am experienced in handling large datasets (100k+ rows efficiently), automating data adjustments, integrating JSON/Pinnacle API imports, and scraping odds data from multiple sources. I am having 10+ years of experience in the technologies required for this project, including Python, C#/WPF, and GUI development, and I have built similar sports analytics applications before. I will provide 2 years of free ongoing support and complete source code. We will work with agile methodology, delivering the project step by step, including assistance from zero to publishing. I eagerly await your positive response. Thanks.

@OutsourceMan

⭐⭐⭐⭐⭐ CnELIndia and Raman Ladhani propose a clear, practical plan to deliver your Windows back-tester: Architecture: build a fast Python core (pandas + NumExpr/Numba) for vectorized metrics and a WPF front-end (C#) for a native, responsive GUI — or full Python/PyQt if you prefer a single stack. Ingest: write a dedicated importer script per Excel source; convert Pinnacle JSON → normalized Excel; implement the two pre-import automations you attached. Filtering & UI: interactive filter panels (league/team/odds ranges, % odds movement, bookmaker vs average) with saved “Strategy” profiles; tables + live charts update on-the-fly. Scraping: implement respectful scrapers for oddssafari (requests + BeautifulSoup + result-matching), and integrate existing scraping tools for NowGoal/OddsPortal with rate-limiting and queuing. Performance: use Parquet caching, indexed SQLite for quick queries and multi-threading to meet 100k rows <10s. QA & Acceptance: unit tests, sample-calculation verification, accuracy checks vs provided sample. Deliverables: compiled Windows executable, full source, importer scripts, short user guide, and handover. CnELIndia will lead engineering; Raman Ladhani will own data modeling, QA and acceptance validation.

@mahmoudralizadeh

Hi! I’ve reviewed your attachments and have years of experience building data-driven betting back-testers with Excel ingestion, odds scraping, and fast filtering. I can deliver a smooth Windows app with real-time metrics, custom scripts for each data source, and accurate ROI/yield calculations. I can also share similar sample work before starting.

@JustinJcob

⭐⭐⭐⭐⭐ Expert in Desktop App Development: I understand your need for a comprehensive Windows-based desktop app to back-test the profitability of sports-betting models using historical bet data. With my expertise in C#/WPF and Python with PyQt, I assure you of a robust app complete with real-time filtering, responsive tables, and accurate performance metrics such as yield, ROI, and max drawdown. I am well-equipped to handle the ingestion and manipulation of Excel spreadsheets, as well as integrating data from APIs and websites like Pinnacle API and oddssafari.gr. Let's discuss your project further, and I am excited to collaborate with you to deliver a high-quality solution on time. Kind regards, Haroon Z .

@Julian29

Hello, I’ve gone through your requirements carefully and I have hands-on experience building data-driven desktop apps, odds scrapers, and betting back-testing tools. With 9+ years in Python (PyQt5/PySide6), C#/WPF, and high-performance data processing, I can deliver a Windows executable that handles 100k+ rows instantly, applies complex filters in real time, and outputs accurate metrics (ROI, yield, max drawdown, P/L, hit rate, turnover, etc.). I will build: • A clean Windows desktop GUI for importing .xlsx/.csv files from all your sources • Dedicated import scripts for each spreadsheet type + preprocessing for the two files that require adjustment • Transformation of Pinnacle JSON → Excel with predefined filters • Automated odds scraping from oddsSafari + final score integration • Integration with your existing massive-scraping workflows for NowGoal & OddsPortal • Real-time charts, filter presets (saved “Strategies”), and a fast analytical engine optimized for large datasets Deliverables include a compiled EXE, full source code, a quick-start user guide, and reproducible metric validation. If you want, I can also propose a database-backed option for future scaling. Happy to discuss details—send the attached documents whenever you’re ready.

@brayanstiven5

Hi Nikolaos A.. I am very excited with your project because I have completed similar project recently. The skills required for your project are my main specialty.(Web Scraping, JSON, User Interface / IA, C# Programming, Data Processing, API Integration, Python, WPF, Excel and Desktop Application) I can handle this perfectly and have abundent experiences. Please confirm that I am one of the best fits for you and drop me a message for further discussion. Thanks and Best Regards.

@ganeshrasekar

I can do it

@devbaloni1983

Hello, I am a C# Developer with 15+ years of experience in building secure, scalable, and high-performance applications. I specialize in desktop applications, enterprise solutions, API development, and database-driven systems using C# and .NET technologies. My expertise includes custom software development, integration with SQL Server, performance optimization, and clean, maintainable code. Recently, I also worked on OpenAI API integration for auto-generated content, images, and social sharing, showing my ability to adopt the latest technologies. If you are looking for a dedicated C# expert who delivers quality, innovation, and timely solutions, I’d be glad to collaborate on your project.

@denisSolution

Hi there, I’ve read your Backtester Desktop App brief and I’m confident I can deliver a solid Windows-based tool that ingests your Excel spreadsheets, applies advanced filters (league, team, odds ranges, odds movements, opening vs closing by bookmaker), and shows real-time metrics and charts. With 5+ years building data-driven apps (Python, C#, WPF/Qt) and a track record in sports analytics, I will implement a modular importer framework: a separate importer script for each Excel source, with automation tweaks for the two existing files, plus an Excel-to-JSON/Pinnacle data bridge. I will also add web-scraping hooks for OddsSafari and surface data from NowGoal and OddsPortal, including final scores. The GUI will feature import browse, filter panels, and an output area for tables and charts, plus an option to save and reuse strategies. The app will compile to a single Windows executable with complete source, and I’ll provide a short guide for installation and use. I will ensure performance matches your sample calculations on a 100k-row dataset. Would you prefer the app to save strategies in a local file format or in a light database for easy sharing across devices? Best regards, Denis

@Alesha1018

Hello, I have extensive experience building Windows desktop applications with custom GUIs for data analysis and back-testing, which fits perfectly with your sports-betting project. I’m interested because your project combines data processing, real-time filtering, and visualization—all areas I have delivered in previous betting analytics tools. My approach will be to create a clean, responsive interface where you can import Excel or JSON data, apply the full range of filters (league, team, odds ranges, movement percentages, etc.), and instantly see metrics such as ROI, yield, max drawdown, and P/L. I will also integrate the import scripts, handle Pinnacle API JSON-to-Excel conversion, and incorporate odds scraping from the requested sites in a controlled, reliable way. Saved strategy configurations and responsive charting will make the workflow intuitive and efficient. Looking forward to working with you! Can we discuss this further via private chat? Warm regards, Alesha

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ===>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@rbtech1984

Hi There!!! ⚜️⭐⭐⭐⭐⚜️(( Windows desktop app for sports betting backtesting with live filtering and multi-source odds integration ))⚜️⭐⭐⭐⭐⚜️ I see you need a robust backtester app to process historical sports-betting data, integrate JSON from Pinnacle, scrape odds from multiple websites, and provide instant metrics and visual feedback. The app must also support saving strategies, applying complex filters, and handle large datasets efficiently. I have strong experience building Windows desktop apps using Python (PyQt/Tkinter) and C#/WPF, including Excel/CSV data ingestion, web scraping, API integration, and real-time GUI updates. I can implement the custom import scripts, handle data adjustments, and ensure all metrics like ROI, max drawdown, and yield refresh dynamically as filters change. Three core deliverables: • Responsive GUI with multi-source import, filtering, and output tables/charts • Automated scripts to process and adjust Excel/JSON data • Full source code and compiled Windows executable with user guide I can deliver a high-performance, scalable solution tailored to your sports analytics workflows. Let’s discuss the files and scraping priorities to get started quickly. Warm Regards, Farhin B.

@Azursol

Dear Nikolaos, I am a seasoned expert in Python, Web Scraping, Excel, and User Interface design with a proven track record of delivering successful projects. I specialize in creating desktop applications for data processing and analysis, making me the ideal candidate for your Backtester Desktop App project. I have extensive experience in handling large datasets, implementing custom filters, and generating key performance metrics. My portfolio showcases similar projects that highlight my ability to meet and exceed client expectations. I am confident in my ability to develop a user-friendly GUI, import and process Excel spreadsheets, scrape odds data from various sources, and provide real-time filtering capabilities. I am open to using different technologies based on your preferences to ensure seamless functionality on Windows platforms. I look forward to discussing how we can collaborate to bring your vision to life. Let's schedule a call to explore the details further. Best regards, Ali Zahid CEO, Azur Solutions

@Ussama91

I will develop a Windows-based desktop application to back-test sports-betting models using historical data from Excel spreadsheets, handling various sports and providing real-time filtering with key performance metrics such as yield, ROI, and max drawdown. I will create a separate script to import data, adjust files as needed, and modify Pinnacle-API data from JSON to Excel format. I will also scrape odds data from specified websites and integrate it with existing apps. I will deliver a compiled executable, full source code, and a user guide, meeting the acceptance criteria of reading 100k rows in under 10 seconds and producing accurate metrics. I will adapt to your budget and provide a high-quality solution. Waiting for your response in chat! Best Regards.

@arslanu2

Hi! I am proficient in MS Excel, Google Sheets, Spreadsheet accounting, and its use in business and analysis. I can accurately enter, arrange, analyze, and present your data. Let's Connect

@Rahulsingh5xz

Hello, I’m Rahul Singh from Team Velora. With 3 years of experience delivering precise data-driven solutions, we can build a Windows-based sports-betting back-testing app tailored to your spreadsheets and APIs. Please join me in private chat to review similar past projects and sample dashboards. We ensure fast, reliable, and user-friendly solutions with real-time filtering, metrics, and charting to suit your strategies.

@jay8mac

This is the exact kind of project I thrive on, and I'm excited to leverage my expertise in desktop app development, data processing, and web scraping to create a robust solution tailored to your needs. I understand your requirements for a Windows-based desktop app that can back-test sports-betting models using historical data and custom filters. With my skills in Python, C#, and Excel, I can seamlessly build a GUI that handles odds scraping, precise filter options, and real-time results visualization just as you described. I'm well-prepared to meet your expectations for a high-performing app and offer my insights to ensure project success. My goal is to deliver exceptional results on time and within budget for you. Looking forward to the opportunity to collaborate with you on this exciting project. Regards, Jason McLachlan