Bet365 AI Betting Analysis

Job ID: 39787889

Budget: ₹150,000 – ₹250,000 INR

I’m looking for a data-savvy partner who can turn the idea of “place any bet on any sport” into a workable AI or statistical framework for Bet365. My aim isn’t to chase one particular league or niche; I want a flexible model that can look at football, basketball, tennis—essentially whatever markets are open—and still give me numbers I can trust before I make what are, right now, arbitrary wagers.

At the moment I don’t have historical scores, player stats, or odds logs in hand, so the first milestone will involve building or sourcing a clean dataset that’s large enough to train a model. From there I’d like a proof-of-concept in Python (or a similarly transparent language) that ingests fresh Bet365 odds, runs the chosen algorithm—be that a statistical edge detector, a basic machine-learning classifier, or a lightweight reinforcement learning loop—and outputs a simple “bet / skip” recommendation with confidence levels.

Deliverables I need to see:
• A reproducible data-collection or scraping pipeline that respects Bet365’s terms of service.
• A well-commented model notebook or script showing your approach, key metrics, and how it generalises across different sports.
• A short read-me that lets me reinstall everything from scratch and test with live odds.

If you’ve tackled multi-sport betting models before, or you can show creative ways to bootstrap data fast, that will really catch my eye.