I need an end-to-end automation that pulls every live cricket market listed on Bet365, Betfair, and DraftKings, converts the raw odds into inferred win probabilities on the fly, and then flags trades that combine maximum upside with the lowest possible exposure. I’m interested only in what the numbers say—no manual inputs about team strength, players, venue, or tournament conditions—so the model has to rely entirely on real-time odds movements and any other live data points you can legally capture. Here’s what success looks like for me: as soon as a line updates on any of the three sites, the system recalculates implied probabilities, surfaces the value play, and, when possible, pairs it with a side bet or hedge that either slashes risk or amplifies profit potential. Output should be immediately actionable—think clearly ranked picks with rationale and suggested stake sizing, all delivered in a simple web dashboard or command-line feed. To keep things concrete, I will consider the project complete when I receive: • A working scraper or API module that streams real-time odds from Bet365, Betfair, and DraftKings without breaching their T & Cs. • The probability engine and trade-selection logic (code plus concise documentation). • A lightweight interface that shows live odds, calculated probabilities, recommended trades, and their corresponding side bets. • Deployment instructions so I can run everything on my own server with a single command. Latency under one second per odds change is the acceptance bar. Python, Node, or any language you’re fluent in is fine as long as the final stack is reproducible.