With more betting opportunities than ever before, bookmakers and professional gamblers have turned to technology to stay ahead of the game. In the case of the enemy (bookmaker), they use technology to produce massive betting content to satisfy popular demand. On the other side, sharps (professional gamblers) are using technology to find value bets & make big money from betting.
When it comes to gaining the upper hand, bookmaker odds add juice (%) into the game. However, that advantage disappears when a punter can successfully shop between competitors, and find better odds than the 100% book. Furthermore, professional gamblers get to pick & choose which games and markets they wish to bet, meaning bookmakers are more exposed!
For those just starting on a professional betting journey, they can subscribe to websites such as Betburger, Trademate & Oddstorm. These services do what we are going to discuss below, find value and arbitrage betting opportunities. The advantage of using technology to find bets is speed, they are faster than the human eye. For those seeking maximum value, execution speed is vital.
Technology can help:
Web crawlers can be used to index betting websites, while scrapers will extract that information. The idea is to have these bots search betting sites for odds deficiencies, and inform bet placers to make a bet. For someone technically gifted, building a scraper in C# using .NET is relatively easy. Typically an XML feed or API imports data.
Using an open-source code is another possibility, or pay someone to build the technology. By using sites such as Freelancer, you can order a basic odds scraper for as low as $200. The biggest challenge is finding someone reliable, so ask for proof or references.
The cost of building a more complex scraper will depend on several factors, such as how many bookmakers are needed. Take it into consideration, some bookmaker websites are easier to crawl/scrape than others!
BET PLACEMENT BOTS
One of the biggest issues for any professional gambler is getting big stakes down. The majority of bookmakers have small betting limits, and winning will make risk management lower again. With that in mind, avoiding detection is paramount to success, and extracting profit is the object of the game.
Institutional investors use the term ‘’Iceberg order’ to buy large amounts of securities without tipping off the market. In the world of betting, spreading stakes thinly amongst various bookmakers do the same. Executed correctly, the odds will hold-up longer, and more value obtained.
A crawler allows the extraction of web data on a big scale from different platforms at the same time. Crawlers are often called web spiders, web robots, automatic indexers, and ants. The method used to scan or crawl through web pages is known as web crawling or spidering!
To give the best example of Web crawlers, the Google search engine uses such a method to index pages. In short, crawler’s data mine, and in betting they gather information from chosen bookmakers. For those interested in developing a web crawler, loads of websites offer open source web crawlers for data mining. Here is a guide to a list of 50 long on the website bigdata-madesimple.com (click here for the link)
Scrapers extract data from websites. In the case of betting scrapers they can help with:
* Automating tipster picks
* Camouflaging bets on exchanges (by using low stakes)
* Place an order with dynamic-odds bookmakers (set the odds required)
* For arbitrage players, execute the bet taking process more efficiently than humans.
* Spread stakes through different accounts to avoid detection.
The main aim of a predator bot is to anticipate where the action is going. For example, detecting ‘’icebergs’’ and getting in on the action before line slippage is advantageous. By anticipating the betting market, the predator bot can buy low and sell high. The main aim is to find betting value and establishing momentum. While these bots are more associated with dealing with securities, professional betting organisations use predator bots to maximise return!
PREDICTIVE BETTING MODEL
Mathematical modelling is nothing new to sports betting. Bookmakers and professional punters have been using predictive modelling for many years.
Ever heard of Bill Benter?, back in 2001 (with a partner) he cracked the then HK$100 million horse racing jackpot at Happy Valley (Hong Kong). Their sports-modelling algorithm worked through more than 10 million combinations, and in the final leg, it chose 36 from 51,381 possibilities. Suffice to say they won, but Benter being a true sportsman decided not to collect the winnings. Nevertheless, the American is said to have won 100’s of millions from betting horses in HK!
Big Bookmakers use predictive models to make betting lines, and lower-level bookmakers copy them. Most bookmakers subscribe to data services such as those supplied by Sportradar, and that’s particularly the case for in-play betting!
The challenge for professional betting syndicates is to find an edge, so they too build Predictive sports-betting models. Highly-paid quantitative analysts (often with a Ph.D. or masters in maths) are given the challenging task to find bookmaker odds deficiencies, and the rest is history!
On that note, with advances in AI (artificial intelligence) and machine learning, modelling is becoming more complex. Staying ahead, and finding the right formula means big profits!
We know the business of sports betting. For serious & ambitious people/organisations wanting to get ahead, we offer a 1-2-1 betting consultancy service.
Whether you are a semi-pro gambler or part of a betting syndicate. We are ahead of the game, and we can help optimise your betting with:
* Becoming profitable quickly
* In-play betting (beginner to advanced)
* How to grow into a more successful gambler.
* How to get around bookmaker limits.
* Sports modelling
* Software/ tools
* Business structuring
* Partner contracts (taxation/legal)
* Network - best connected with the right people!
1-2-1 consultancy starts at €1000, but we only accept those who can perform!