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Proprietary CS2 odds - low latency, no bookmaker noise

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    I have recently developed a bot capable of simultaneously scanning over 140+ sportsbooks around the globe. It analyzes millions of odds in real time and uses this data to find overpriced odds. The logic behind it is straightforward: it uses odds from all sportsbooks to calculate the probabilities of an event occurring. Then, with simple maths it determines if the expected value is positive, meaning the potential payout exceeds the risk. Unfortunately, sportsbooks limit your accounts once they realize that you are profitable and not a losing customer. So I have already been limited at more…

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    In Spain, there's a betting game called La Quiniela: https://es.wikipedia.org/wiki/La_Quiniela_(Espa%C3%B1a) Players predict the outcome of 14 football matches (home win, draw, away win). You win money if you get at least 10 correct, and the prize amount depends on the number of winners. Since all bets are public, the number of winners and the corresponding payouts can be estimated for each of the 3^14 possible outcomes. We can also estimate their probabilities using bookmaker odds, allowing us to compute the expected value for each prediction. As a side project, I wanted…

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  9. 9AE

    I created a bot which analyses Euro 2024 betting odds and performs some basic analysis based on the recent form of each team and provides advice on which odds are under/over-priced by email to all subscribers. The intelligence of the bot is admittedly rather basic but this simple app shows how easy it is to reliably scrape and parse structured data with AI and perform insightful analysis. The initial version of the bot, shown in the notebook took about 15 minutes to build. Disclosure: this bot is built on our new graph based #nocode platform NodeScript.dev, which we've recently brought…

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