AI Powered Race Betting Odds Comparison Site
Budget: ₹12,500 – ₹37,500 INR
Project Overview
I am looking for an experienced web developer, data scraping specialist, and AI modeller to build a professional racing website that covers:
* Jockey Challenges (Thoroughbred/Gallops Racing)
* Driver Challenges (Harness Racing)
The platform will track all jockeys and drivers at Australian race meetings, calculate live challenge leaderboards, generate AI-rated prices, compare bookmaker odds, and identify value betting opportunities.
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Challenge Formats
Jockey Challenge
Predict which jockey will score the most points at a gallops race meeting.
Driver Challenge
Predict which harness racing driver will score the most points at a harness race meeting.
Points System
Points awarded per race:
* 1st Place = 3 Points
* 2nd Place = 2 Points
* 3rd Place = 1 Point
* Dead Heats = Split Points
Points must update automatically after each race result.
⸻
Required Features
1. Australian Race Meeting Coverage
The website must automatically display all daily Australian race meetings, including:
* Thoroughbred (Gallops) Racing
* Harness Racing
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2. Live Challenge Leaderboards
For every meeting, display:
* Current points for each jockey/driver
* Total rides/drives today
* Remaining rides/drives
* Current leaderboard rankings
* Current meeting leader
* Mathematical chances of winning
Leaderboard updates must occur automatically after each race result.
⸻
3. AI Pricing Model
Develop an AI/statistical model that:
* Prices every Jockey Challenge market
* Prices every Driver Challenge market
* Updates live throughout the meeting
The model should consider:
* Number of rides/drives
* Quality of mounts
* Horse market prices
* Favourites ridden
* Barrier draws
* Remaining rides/drives
* Current leaderboard position
* Historical strike rates
* Jockey/driver ability
* Trainer statistics
* Track statistics
* Other relevant racing factors
AI Output
* Fair odds for every participant
* Live probability updates
* Live market percentages
⸻
4. Bookmaker Odds Comparison
Compare AI-rated prices against bookmaker odds from:
* TAB
* Ladbrokes
* Sportsbet
* PointsBet
* TABtouch
Display:
* Best available odds
* AI-rated odds
* Value percentage/overlay
* Highlight value opportunities
* “BET ON IT” indicator when bookmaker odds exceed AI-rated odds
⸻
5. Meeting Results & Performance Tracking
After each meeting:
* Display final challenge leaderboard
* Display challenge winner
* Display total points scored
* Track profit and loss on value selections
* Historical results database
⸻
6. Admin Dashboard
Backend administration area to manage:
* Race meetings
* Results
* Bookmaker feeds
* AI model settings
* User management
* Subscription management (optional)
* Site content and settings
⸻
Technical Requirements
Preferred technologies:
* React / Next.js
* Node.js
* Laravel (alternative)
* PostgreSQL or MySQL
* Python for AI modelling
* Automated scraping/API integrations
* Real-time updates
⸻
Preferred Experience
The ideal developer should have experience with:
* Sports betting platforms
* Racing data integrations
* Odds comparison websites
* Live dashboards
* AI prediction models
* Database architecture
* Automated data scraping
* High-performance web applications
⸻
Deliverables
* Fully functional website
* Mobile-friendly responsive design
* Live updating leaderboard system
* AI pricing engine
* Odds comparison engine
* Admin dashboard
* Full source code ownership
* Deployment assistance
* Documentation for future maintenance
⸻
Future Expansion
Potential future work includes:
* Subscription plans
* SMS/Email betting alerts
* Mobile app (iOS & Android)
* Additional betting markets
* Advanced AI analytics
* Automated betting integrations
I am looking for an experienced web developer, data scraping specialist, and AI modeller to build a professional racing website that covers:
* Jockey Challenges (Thoroughbred/Gallops Racing)
* Driver Challenges (Harness Racing)
The platform will track all jockeys and drivers at Australian race meetings, calculate live challenge leaderboards, generate AI-rated prices, compare bookmaker odds, and identify value betting opportunities.
⸻
Challenge Formats
Jockey Challenge
Predict which jockey will score the most points at a gallops race meeting.
Driver Challenge
Predict which harness racing driver will score the most points at a harness race meeting.
Points System
Points awarded per race:
* 1st Place = 3 Points
* 2nd Place = 2 Points
* 3rd Place = 1 Point
* Dead Heats = Split Points
Points must update automatically after each race result.
⸻
Required Features
1. Australian Race Meeting Coverage
The website must automatically display all daily Australian race meetings, including:
* Thoroughbred (Gallops) Racing
* Harness Racing
⸻
2. Live Challenge Leaderboards
For every meeting, display:
* Current points for each jockey/driver
* Total rides/drives today
* Remaining rides/drives
* Current leaderboard rankings
* Current meeting leader
* Mathematical chances of winning
Leaderboard updates must occur automatically after each race result.
⸻
3. AI Pricing Model
Develop an AI/statistical model that:
* Prices every Jockey Challenge market
* Prices every Driver Challenge market
* Updates live throughout the meeting
The model should consider:
* Number of rides/drives
* Quality of mounts
* Horse market prices
* Favourites ridden
* Barrier draws
* Remaining rides/drives
* Current leaderboard position
* Historical strike rates
* Jockey/driver ability
* Trainer statistics
* Track statistics
* Other relevant racing factors
AI Output
* Fair odds for every participant
* Live probability updates
* Live market percentages
⸻
4. Bookmaker Odds Comparison
Compare AI-rated prices against bookmaker odds from:
* TAB
* Ladbrokes
* Sportsbet
* PointsBet
* TABtouch
Display:
* Best available odds
* AI-rated odds
* Value percentage/overlay
* Highlight value opportunities
* “BET ON IT” indicator when bookmaker odds exceed AI-rated odds
⸻
5. Meeting Results & Performance Tracking
After each meeting:
* Display final challenge leaderboard
* Display challenge winner
* Display total points scored
* Track profit and loss on value selections
* Historical results database
⸻
6. Admin Dashboard
Backend administration area to manage:
* Race meetings
* Results
* Bookmaker feeds
* AI model settings
* User management
* Subscription management (optional)
* Site content and settings
⸻
Technical Requirements
Preferred technologies:
* React / Next.js
* Node.js
* Laravel (alternative)
* PostgreSQL or MySQL
* Python for AI modelling
* Automated scraping/API integrations
* Real-time updates
⸻
Preferred Experience
The ideal developer should have experience with:
* Sports betting platforms
* Racing data integrations
* Odds comparison websites
* Live dashboards
* AI prediction models
* Database architecture
* Automated data scraping
* High-performance web applications
⸻
Deliverables
* Fully functional website
* Mobile-friendly responsive design
* Live updating leaderboard system
* AI pricing engine
* Odds comparison engine
* Admin dashboard
* Full source code ownership
* Deployment assistance
* Documentation for future maintenance
⸻
Future Expansion
Potential future work includes:
* Subscription plans
* SMS/Email betting alerts
* Mobile app (iOS & Android)
* Additional betting markets
* Advanced AI analytics
* Automated betting integrations
Related categories:
PHP
JavaScript
Web Scraping
Machine Learning (ML)
HTML
Web Development
Data Scraping
AI Development