Sentences with phrase «betting systems results»

Along the left hand side you will see their betting system results for each sport, and it allows you to click on any of the systems to get more in - depth information (more on that in a minute).

Not exact matches

Check out our historical results on our Sports Betting Systems page.

While these results conclusively showed that there was value in betting against tired home teams, we knew there were additional steps we could take to improve this betting system.

As a result, we are keeping a close eye on tonight's game and could include Arizona State as a Best Bet or Square Play, depending on how our College Football Betting System Picks react to line movement and changes in the Public Betting Trends throughout the day.

As a result, we are keeping a close eye on tonight's game and could include Louisiana Tech as a Best Bet or Square Play, depending on how our College Football Betting System Picks react to line movement and changes in the Public Betting Trends throughout the day.

As a result, be sure to login to your Sports Insights account, check the College Basketball Betting System Plays and shop for the best line before taking a side in this game.

As you can see, the results for these systems are almost identical regardless of whether you're betting on the moneyline or spread.

Both systems have a large sample size, consistent year - to - year results, and a solid driving hypothesis which are the three main criteria for a winning betting system.

Each betting system is backed with years of research and proven results.

Our ebook series is designed to help you achieve consistent winning results by implementing proven winning betting systems.

Bettors should also know that this system fits the three main characteristics of a winning betting system: significant sample size, a strong driving theory and consistent year - to - year results.

In fact, simply betting every underdog in games where the total was at least 10 would result in a winning system.

With consistent year - to - year results, a significant sample size and a clear cut contrarian hypothesis, this system has the characteristics that we look for in a winning betting system.

It's also important to note that this system fits the three common characteristics of a winning betting system: large sample size, consistent year - to - year results and clearly defined data ranges to avoid custom - fitting the data.

Last year was awful for betting underdogs and, as a result, this system produced a woeful 2 - 10 record -LRB--6.79 units) during the 2014 playoffs.

With a large sample size, consistent year - to - year results, and a strong guiding philosophy this system clearly fits the three main characteristics of winning betting systems.

On the Bet Labs dashboard, we have added a system overview so you can easily see a snapshot of what filters the system uses and view the past results of the system.

We also recommend that before creating a betting system, customers have a guiding hypothesis to explain the results.

Those results show a clear - cut edge for underdogs in divisional games, however, the year - to - year results haven't had the type of consistency that I look for when building data - driven betting systems.

The first system analyzed against the spread (ATS) results of betting every NFL team that closed at +2.5.

This system has the large sample size, strong driving hypothesis and consistent year - to - year results that we look for in a winning betting system.

When building a data - driven betting system, I usually look for a large sample size, consistent year - to - year results, and a strong guiding philosophy.

Our betting systems work on proven economic principles and produce consistent winning results across all sports.

Since 2005, teams fitting this criteria produced a woeful record of 636 - 730 and fading this system (betting the visiting team) would result in a win rate of 53.44 %.

Because it's unrealistic to bet every match with this system due the sheer volume of games in the regular season, filtering the public betting percentage down to < 23 % of moneyline bets results in a much higher ROI of +7 % and more than +60 units won (overall record of 325 - 538).

This is important because many bettors will build data - driven betting systems that had several profitable seasons in the past, but had since seen their results tail off in recent seasons.

With a sample size of over 1,200 games, consistent year - to - year results (with the exception of last season's -2.25 unit loss), and broad ranges for our data, this system fits all three traits for a winning betting system.

It also features the type of strong driving hypothesis, large sample size, and consistent year - to - year results that we look for in our data - driven betting systems.

After seeing that some of our traditional contrarian strategies have had mixed results for second half bettors, we believed that we could create an excellent halftime betting system by capitalizing on public perception.

You can see that lower totals have corresponded with improved results for «dogs, however, this merely serves as one edge to consider — not a betting system that should be followed.

Simply betting on the home team in every game he has officiated would have resulted in winnings of +42.31 units i.e. a $ 100 / game bettor would have earned $ 4,231 by following this basic system.

This system has all three characteristics that we look for in a winning betting system: a strong sample size, guiding hypothesis and consistent year - to - year results.

Strong driving hypothesis: You need to make sure that there's a theory to explain your results, otherwise you'll often times end up with a custom - fitted betting system that is not predictive of future results.

Assuming this 2 % ROI, it's reasonable to expect your system to result in 486 MLB bets and 51 NFL bets over the respective seasons of each sport.

Not only did we increase our systems units won and return on investment (ROI) with this basic filter, but we noticed that as we continued to look at more and more lopsided public betting data, the results improved exponentially.

When we're creating a betting system, there are three common characteristics that we look for: a representative sample size, consistent year - to - year results, and a lack of custom - fit data.

To calculate ROI, the return of an investment (or in this case, the profit earned from your sports betting system) is divided by the cost of the investment with the result typically being expressed on this website as a percentage.

This system certainly fits our three criteria for a winning betting system as it has a strong driving hypothesis, massive sample size and consistent year - to - year results.

On the site you'll see results for our Betting Systems displayed in boxes like the one below.

[Hint: if you plan on following this system, copy it from the Think Tank and add the Over / Under public betting filter to improve results even further.]

As a result, be sure to login to your Sports Insights account, check the Betting System plays and shop for the best line if considering a contrarian play on this game.

Our sports handicapping betting systems produce winning results across all sports types.

Using our Bet Labs data analysis software, we created a system to test each of these situations and found some interesting results.

Using the simplest definition of betting against the public, teams getting no more than 50 % of moneyline bets, we get a system with a large number of games and consistent winning results.

Using our betting archive, I went through and recalculated the results using this method to compare to our flat betting system.

As a result, this game fits into Sports Insights» 80/20 NFL Betting System, which has won 68.8 % against the spread this season.

Computer angles, super systems, sharp service plays, auto - fade contrarian insight, market movements employing Wall Street techniques, sportsbook betting patterns analyzed, simulators, private and public betting databases, money flow charts and more result in the sports betting Key Play of the Day using the scientific method.

If your gut is acting up, you can bet your boots that your immune system is going to suffer as a result.

Whenever this happens, it's a good bet that the game's new fighting system will engage as a result.

As far as I know, he never even had one bet as a result of his system.