I have a long and successful history stretching back to 1995 of connecting regular punters to winning professionals mainly by developing subscription-based advisory services.
Starting off as the Operations Director of what was at the time Britain’s pre-eminent racing advisory service “The Winning Line“ I’ve since gone on to create and manage many extremely profitable commercial ventures due to my own extensive copywriting, marketing and logistical skills, plus access to sizeable databases of punters through key joint venture partners.
For the start of 2017 I launched Winning Online see http://www.winningonline.co.uk.
The essence of Winning Online is to help punters boost their incomes by winning extra money from mainly horse racing and sports betting opportunities. Which is what I’ve done in various guises for over 20 years.
The big difference though is that I want the advisory services, publications, software, or any other type of product or service developed, to have their edge built around technology. Machine Learning, Artificial Intelligence, algorithms and advanced statistical strategies are going to be the focus.
In fact, I’m actually keen to develop and sell products where human tipsters are either completely removed, or significantly side-lined, because the technology will be doing most of the work.
An example of the direction Winning Online is taking can be seen in the deal I’ve done withÂ Theo Koumis, the brains behindÂ QuantalystÂ one of Britain’s foremost risk analytics andÂ sports data intelligence consultancies who are behind ground-breaking projects such as the new SIS in-running horse racing pricing algorithm showcased at ICE in London in early February this year.
Winning Online will be selling a Machine Learning horse racing algorithm created and developed by Quantalyst from the spring of this year. And if you, or anyone you know, is interested in knowing moreÂ then go toÂ http://www.winningonline.co.uk/the-winning-machine.
Take care and all the very best.
Cheers, Steve Clark Founder, Winning Online
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