Sentences with phrase «number of bets filter»

I like the concept of this strategy — but the average number of bets filter makes it very impractical to use.

Because there are so many games each college basketball season, focusing on more heavily bet games (by adding Bet Labs» Number of Bets filter to the research above) increases win percentage even more.

Not exact matches

Over the past months, we have added a number of new and informative filters to Bet Labs.

As you can see, using the «Number of Bets,» as a filter, helps to improve results for our «Betting Percentages.»

We've recently added a number of new filters to Bet Labs, so make sure to try a 4 - day trial to create winning betting systems of your own.

Although this system has been historically profitable and shows a definitive edge for betting against the public, there are a number of filters we knew could be added to easily increase our return on investment.

Using our «number of bets compared to daily average (DA)» filter in Bet Labs, we can see how this strategy work at each of the different levels of lopsided betting.

We've recently added a number of new NCAAB filters to Bet Labs, including conference tournament, round, seed and opponent seed.

Even when we filter the results to focus on highly bet games (getting 1.5 times the average number of bets for the day) the results still do not improve; the 30 % level produces a 19 - 21 ATS record, and the 50 % level produces a 30 - 47 ATS record.

Filtering this even further and solely betting against teams receiving 80 % or more of public betting action produced a slightly less profit of +20.44 units, but the massive reduction in the number of games bet more than doubles the ROI to 9.2 % at this level.

This basic system has produced a record of 96 - 74 ATS with 17.17 units won and a 10.1 % return on investment (ROI); however, with a number of recent additions to our Bet Labs software we have been able to examine increasingly complicated betting systems with the help of many newly added filters.

Our goal was to combine a number of filters we knew to be historically profitable along with our contrarian philosophy to create a winning betting system.

Using a simple system that typically takes College Hoops underdogs, we overlaid a filter that uses only the top 1/3 of games in terms of number of bets.

Using the «Number of Bets Compared to Daily Avg» filter we can eliminate games the public isn't on.