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I’m building a responsive web app that runs smoothly on any iPhone browser and on Windows desktops. Its core purpose is to pull live H2H, line, and total-points markets for NRL, AFL, NBL, MLB, NBA, NFL, and NHL, then compare the numbers from Tab, Betfair, Sportsbet, Ladbrokes, Tabbtouch, Pointsbet, and Pickle Bet against an AI-driven “fair price”. I do have an api for sports [login to view URL] But will still need to get players in and out js weather and that from some where. The interface must follow a modern, minimalistic aesthetic: clean typography, quick filters, and an uncluttered dashboard that immediately highlights value gaps. Behind the scenes, the app needs a real-time data pipeline that keeps bookmaker odds, player ins-and-outs, and venue weather in sync so the model can recalculate probabilities the moment something changes. I’m after in-depth analysis, not just a green/red value light. Each game should display: • the model’s implied win probability and recommended price • projected line and expected total points • percentage edge versus every bookmaker on screen A quick-view of key weather metrics (temperature, wind, rain) and confirmed line-ups must sit beside each matchup so users see the factors the model has incorporated. Deliverables 1. Full source code for the web app, responsive on iOS Safari and Windows Chrome/Edge 2. Live demo URL or test flight build demonstrating sub-5-second odds refresh and sub-60-second player/weather updates 3. Documented data sources, model methodology, and environment setup instructions 4. Admin panel for adding new bookmakers or tweaking model parameters 5. Automated tests covering data ingestion, model outputs, and UI critical paths I’m flexible on the final tech stack—React or Vue on the front end, Python (TensorFlow, PyTorch, or XGBoost) or a Node alternative for the AI layer are all fine as long as they deliver speed and transparency. Let me know how you’d structure the data feeds, what modelling approach you would use, and any previous work that proves you can bring real-time sports analytics to life.
Project ID: 40571124
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An odds comparator that just shows green/red is a commodity — what makes this useful is the model explaining why a line has value, factoring in weather, lineup changes, and implied probability simultaneously. I've built real-time data pipelines with Python (FastAPI + Celery), WebSockets for live price updates, and XGBoost models for probability calibration, which maps directly onto what you need [login to view URL] the stack: React frontend with a WebSocket connection for sub-5-second odds refresh, FastAPI backend orchestrating Celery workers that poll bookmaker APIs and licensed odds feeds (The Odds API covers Tab, Sportsbet, Ladbrokes, Pointsbet), OpenWeatherMap for venue weather, and an XGBoost model trained on historical line movement to output fair-price probability per market. Player availability I'd pull from sport-specific APIs (SportRadar for NBA/NFL/MLB, or equivalent AU providers for NRL/AFL). Admin panel for bookmaker config and model parameter tuning built in React with a simple CRUD [login to view URL] critical question before scoping the model layer: do you have existing historical odds and results data to train on, or does the model need to be bootstrapped from scratch using public datasets?
$500 AUD in 7 days
1.6
1.6
337 freelancers are bidding on average $467 AUD for this job

Hello, I’ve read your requirements carefully, and it would be an honor to work with you. I have 14+ years of experience building AI-powered web applications, real-time data platforms, REST APIs, and responsive dashboards. I can develop a scalable sports odds comparison platform with live bookmaker feeds, AI-based probability modeling, weather and lineup integration, an admin panel, and a fast, responsive UI optimized for iOS and Windows. I’ll use a modern architecture with React/Vue, Python (XGBoost/PyTorch) or Node.js, real-time data pipelines, automated testing, and comprehensive documentation for future scalability. Please check my profile to see my reviews and ratings from previous clients. The budget and timeline for the project can be discussed further. Warm regards, Harpreet Singh
$250 AUD in 5 days
9.5
9.5

Hi there, I understand you are looking to develop a responsive web app to display live sports odds, covering multiple markets such as NRL, AFL, and more, which needs to run seamlessly on both iPhone browsers and Windows desktops. By implementing a combination of advanced AI algorithms and robust data scraping techniques, I can ensure real-time data accuracy and responsiveness. Leveraging technologies like Python for scraping and PHP for backend processing, we can create a streamlined experience that effectively manages live sports data. For the machine learning aspect, I can incorporate models to analyze trends and enhance predictive insights. I'll also ensure that the user interface is intuitive and visually appealing, catering to a diverse audience. My approach is focused on delivering a high-performing, user-friendly application that meets all your specifications. Best Regards, Khorshed Alam, RS Software
$600 AUD in 7 days
9.5
9.5

Hey, I will deliver your AI sports odds comparator pulling live H2H, line, and total markets across NRL, AFL, NBL, MLB, NBA, NFL, and NHL, comparing seven bookmakers against a model-driven fair price. The dashboard will surface implied win probability, percentage edge per book, projected lines, weather, and confirmed lineups, all refreshing under 5 seconds. On a similar real-time odds pipeline, batching WebSocket updates per sport instead of per bookmaker cut latency and API costs significantly. Questions: 1) For the AI layer, do you already have historical odds or results data, or will I need to source training sets from public APIs? 2) Which bookmaker feeds do you have API access to versus ones that will need scraping? Send me a message and we can go over the details. Best regards, Kamran
$286 AUD in 10 days
8.5
8.5

Hi — Elias here from Miami. I see you’re building a responsive web app for comparing sports odds. It’s a great idea, but I understand the potential challenges with ensuring it runs smoothly across different devices and browsers. Common issues often include handling real-time data updates and ensuring the UI remains user-friendly, especially on smaller screens like iPhones. These can be tricky, but they’re manageable with the right approach. My experience with web scraping and data analysis will help gather and display odds effectively. I’d focus on building a solid backend with PHP and Python, ensuring that the app can handle fluctuations in data without lag. For the frontend, I’ll prioritize responsive design to maintain usability across all devices. To make sure we’re aligned, could you share more about the specific sports or odds you want to compare? Also, do you have a preferred tech stack or any existing tools you plan to integrate? Looking forward to your thoughts.
$600 AUD in 5 days
8.4
8.4

Definitely==>>I will build a responsive, real-time sports analytics web app with live odds aggregation, AI-based fair pricing, weather and lineup integration, and a clean dashboard optimized for both iPhone browsers and Windows desktops. The solution will include an admin panel, automated testing, and scalable architecture for adding new bookmakers and sports. Thank you!!
$555 AUD in 5 days
8.1
8.1

Hello " Lets Gets Started, You are looking for AI Sports Odds Comparator I know you have several tempting proposals here, but I guarantee you to be impressed by my work. I have various skills in Machine Learning (ML), Python, Sports, PHP, Web Scraping, Data Analysis, Graphic Design, AI (Artificial Intelligence) HW/SW, Web Development and HTML. If you give me this chance you will be impressed, because I guarantee that I will meet your expectations. I invite you to get a look at my portfolio You Can see it from here : https://www.freelancer.com/u/sahildogra222 If you have any questions or queries, do not hesitate to contact me. I hope to start working with you. With regards! Sahil
$250 AUD in 1 day
8.4
8.4

⭐⭐⭐⭐⭐ Build a Responsive Web App for Real-Time Sports Analytics ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you are looking for a web app that delivers real-time sports analytics. You have no need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for sports analytics. I will create a responsive app that pulls live data, compares bookmaker odds, and presents insights in a modern interface. ➡️ Why Me? I can easily build your web app as I have 5 years of experience in web development and sports data integration. My expertise includes React, Python, real-time data processing, and API integration. Not only this, I have a strong grip on creating efficient dashboards and ensuring seamless user experiences. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing with you in chat. ➡️ Skills & Experience: ✅ Web Development ✅ API Integration ✅ Real-Time Data Processing ✅ React/Vue.js ✅ Python Programming ✅ UI/UX Design ✅ Data Analysis ✅ Automated Testing ✅ Dashboard Creation ✅ Database Management ✅ Sports Analytics ✅ Performance Optimization Waiting for your response! Best Regards, Zohaib
$350 AUD in 2 days
8.1
8.1

Hi! Your project for an AI Sports Odds Comparator caught my attention – building a real-time analytics platform like this is exactly what we excel at. We can develop a responsive web application that pulls live odds from multiple bookmakers, syncs player and weather data in real-time, and uses an AI model to provide in-depth analysis on game probabilities and value gaps. The system will be built for speed and transparency, delivering clear insights on implied probabilities, projected lines, and percentage edges, with all contributing factors like weather and line-ups readily visible. We're rated 4.88★ across 905 client reviews. Justin T. from United States said: "Abid & GoDesign is one of the best on Freelancer. I've used them on multiple occasions for new logos and custom websites. Highly recommend !!" To ensure we build the most effective solution, could you elaborate on your priorities regarding the admin panel's functionality for tweaking model parameters versus adding new bookmakers?
$700 AUD in 45 days
7.8
7.8

Hello, Your project caught my attention because it combines real-time data engineering, sports analytics, and AI modeling — areas where I have experience building data-driven dashboards and intelligent web applications. I can develop a responsive platform that works smoothly across iOS Safari and Windows browsers with a fast, clean dashboard focused on actionable betting insights. I can integrate The Odds API for bookmaker markets, build the real-time data pipeline, and connect additional feeds for player availability, lineups, and weather conditions. For the AI layer, I can structure a transparent probability model using Python-based ML approaches (XGBoost/PyTorch/TensorFlow depending on data availability) to calculate fair prices, implied probabilities, line projections, totals, and bookmaker value edges. The solution will include a scalable frontend (React/Vue), backend APIs, admin controls, automated testing, refresh optimization, and complete documentation for future expansion. I would be happy to discuss the architecture and share relevant examples of data dashboards and AI-driven applications. Please have a look on my similar work portfolios: https://www.freelancer.in/u/clientsfirstIT] kind regards, Sunil K.
$500 AUD in 7 days
7.8
7.8

Hi, We’ve built similar web apps that pull live sports data and use AI to analyze it, so we know how to deliver a product that meets your needs. We also have extensive experience with responsive front-end frameworks like React and Vue, and we can integrate fast back-end solutions using Node.js or Python. For this project, we’d assign a dedicated full-stack developer with 10 years of experience, along with a UI/UX designer and QA expert, all working together to deliver a fully optimized product. We’ve worked with multiple sports data providers, including Betfair, and have developed several products that use real-time data to drive AI models. We also have a dedicated DevOps team to ensure your app is secure and runs smoothly. 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. I’m looking forward to hearing more about this exciting project. Best regards, Adil
$550 AUD in 7 days
7.6
7.6

Hi Sir, I can efficiently handle all the tasks mentioned in the job summary with high-quality features and functionality. I am a self-motivated and experienced Odoo developer and tech partner, focused on delivering reliable solutions and complete customer satisfaction. I assure you of 100% quality work and timely delivery. Let’s connect to discuss further. Thanks, Deva
$450 AUD in 4 days
7.8
7.8

Hello, I've read through your project, and it sounds like you want to build an intuitive web app that compares live sports betting odds across multiple bookmakers while integrating real-time data for a seamless user experience. With 7+ years of experience in web development and data analysis, I can help create a responsive app that not only meets your design specifications but also provides in-depth analytics for each matchup, as you outlined. I would approach this by using React for a smooth front end and Python to build the AI model, ensuring fast data processing and real-time updates. The key metrics like weather and player line-ups will be neatly displayed alongside the odds, making it easy for users to understand the model’s insights at a glance. One thing I’d love to know is how you envision the user experience when interacting with the filters and dashboard. Best regards, Ivan Mandinski
$500 AUD in 2 days
7.5
7.5

I’d love to help style the value gap indicators—do you have a preference for how those visual alerts (highlighting the "fair price" vs. bookie odds) should look on mobile screens? Looking forward to hearing from you so we can finalise the details and move forward.
$450 AUD in 11 days
7.5
7.5

You need a real time sports analytics dashboard that pulls from multiple bookmakers, layers in player and weather data, and surfaces model-driven value gaps in a clean, minimal interface. That's a solid challenge and I'd enjoy building it. For the data pipeline, I'd use a Node.js backend with WebSockets to poll The Odds API and scrape supplementary sources for line-ups and weather, then push updates to the front end as they arrive. The AI layer would lean on XGBoost for its speed and interpretability with live sports data, training on historical odds and outcomes to generate implied probabilities and edges. React on the front end keeps the dashboard snappy and responsive across iPhone and desktop browsers. Let me know if you'd like to chat in more detail.
$320 AUD in 7 days
7.8
7.8

As an experienced Full-Stack software engineer, I have successfully developed numerous web and mobile applications over the past decade using a variety of technologies like HTML, PHP, Python, React, Vue and more. This adeptness with a wide range of stacks aligns well with your flexible approach to the tech stack involved in your project. Moreover, my proficiency in machine learning makes me a perfect fit for the AI-driven core of your sports odds comparator. In addition, I appreciate the value of in-depth analysis; it is not just about receiving a single green/red value light but about having access to comprehensive game information like you mentioned. Regarding your need for real-time data sync and fast updates to your model's probabilities, it can be difficult to balance speed and transparency in real-time sports analytics but it's a sphere I have expertise in. My work history in integrating various APIs such as Firebase real-time & Firestore and Google Cloud Apis shows my capability to handle complex data streams efficiently. To sum it up, this project commands diverse skills which match perfectly with my profile as an industrious software engineer with great experience across-frontend/backend development, Hybrid app development (Flutter/firebase), Social network API usage and python powered AI automation. Choosing me would not only guarantee quality results but also great commitment and professionalism throughout our collaboration.
$500 AUD in 7 days
7.3
7.3

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr
$700 AUD in 7 days
7.3
7.3

With over 13 years of experience specializing in Python web automation, data mining and extraction, and AI solutions, I am a perfect fit for your AI Sports Odds Comparator project. My expertise involves scraping data from various platforms, such as FlashScore and Wyscout, which is essential for your project's real-time data pipeline. Additionally, I have a strong background in using powerful AI tools like TensorFlow, PyTorch, and XGBoost to build efficient models suitable for your evaluation needs. Above all, my dedication to delivering result-driven solutions matched with my adaptability to open-source tools makes me an ideal fit for this project. Let's leverage my skills in sports data extraction and analysis along with an aesthetic approach to design an intuitive interface that ensures users recieve detailed data insights immediatley. Thank you in advance for considering my bid and I hope we can work together to create what could be a groundbreaking sports analytical tool.
$250 AUD in 1 day
7.3
7.3

I can build your AI Sports Odds Comparator with a focus on real time accuracy and cross platform responsiveness. I have extensive experience using Python for web scraping betting data and PHP for building scalable web applications. My background includes developing machine learning models for predictive analytics, ensuring your comparator does more than just display numbers by providing actionable insights. I will ensure the interface is pixel perfect on iPhone browsers while remaining high performance on Windows desktops. I specialize in data analysis and sports API integration, which are critical for this project. My approach prioritizes low latency data fetching so your users always see the sharpest lines. When can we discuss the specific sportsbooks you want to target first?
$250 AUD in 7 days
6.8
6.8

Hello, I have built real-time sports data apps with responsive dashboards, live feeds, and model outputs. My work includes clean React interfaces, Python APIs, and tested data pipelines. For this app, I would structure bookmaker, lineup, and weather feeds through queued workers and a fast API. The model would recalculate fair prices, lines, totals, and edge values as new data arrives. The admin panel would manage bookmakers and model settings, with tests for ingestion, outputs, and key UI flows. Best regards, Teo
$500 AUD in 5 days
6.7
6.7

The challenge here is not just displaying bookmaker odds — it is building a reliable real-time sports intelligence engine that can ingest changing markets, calculate fair prices, and explain value gaps clearly to users. I would structure this as a real-time data pipeline with separate layers for odds ingestion, player/weather data updates, modelling, and the dashboard experience. The AI layer would focus on transparent probability modelling (such as XGBoost/statistical models initially, with room for deeper ML improvements) so every recommended price and edge percentage can be explained. For the frontend, I would build a fast responsive dashboard optimized for iOS Safari and Windows browsers, with quick filtering, matchup cards, bookmaker comparison tables, and model insights. The implementation would include: • Real-time bookmaker data integration/scraping architecture • AI-driven fair price calculations • Weather and lineup data synchronization • Admin panel for model/settings management • Testing and deployment documentation Before starting, I would like to confirm which bookmaker APIs/data sources are available and whether you already have historical betting data for model training, or if the model should be built from public historical datasets. Best, Ahtesham
$750 AUD in 30 days
7.3
7.3

Alberton, Australia
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