The record: 236 – 149 – 7 (61.30%)
Profit (1 unit/bet flat):
Download PDF with the results
This result analysis is made if you bet simple 1 unit flat and didn’t change the stake in this betting period.
The method was used from some of my followers on other sports as well. I didn’t test this model on other sports and the leagues, but I got feedback from others….
I don’t sell picks, because I believe, that this is wrong focus by bettors/punters. Following other people’s picks never really worked and 99.9% of people are very disappointed with other people picks. No matter if I make a profit on the long run, most bettors will not reach the same yield and profit than me.
Don’t get me wrong, it is not your or my fault, but it is a general problem in sports betting world.
There are definitely bettors who make profit for themselves and there are very successful bettors, but to follow their advice with positive result is very hard in most cases. In dynamic sports betting world, where the odds are changing all the time, it is even harder.
After all, instead of focusing on other people’s picks, bettors can focus on their knowledge and make their own winning picks without paying thousands and thousands of dollars every season.
Because of that, I decided, that I will share this method with you.
The main idea is still that you get your own lines, which you can later combine with your information that you have about basketball leagues.
I didn’t make extra research on those basketball leagues. I simply used my numbers, I projected my own lines and then I bet when the difference was 7 points for the spread and 10 points for the totals.
If you are a basketball bettor, you will have my private method and you can combine it with your analysis, which is amazing and can give you great results.
Learn how I have created this model?
Learn how I used it?
To have this knowledge forever?
If the answer is YES, then keep reading, because I reveal my private betting model here. I don’t just share some sheet, where you put the numbers. NO.
You get the video (24:16 minutes), where I show you step by step how I have created this. It is very easy to understand, it is easy to follow and after one hour you will have your own betting model for basketball.
Exactly the same that I use for myself.
It’s about including simple statistics into your analysis. Majority of bettors don’t use it at all. For majority of bettors using statistics is too complex. But I show you how you can use statistics on a very simple way.
Get a knowledge for a lifetime.
Scroll to topFollowing our popular article on how to build a betting model, here is a practical example of creating, applying and testing a betting model that predicts wins, losses and draws in the Premier League. Read on to find out.
In this previous article we explained how to build a betting model. Now take a step further and give you an example of how to do it.
For this example we use an approach similar to the Actuarial Control Cycle – a quantitative risk assessment employed by insurance companies. There are five main features in buidling a betting model:
Below we subdivide these features into additional steps, giving an example to explain each stage.
Please note our example model is basic and we enocurage you to use is as the building blocks behind the thought process of each stage.
Our aim is to calculate the outcome of English Premier League games to see if we can predict results more accurately than the bookmaker.
Given our aim is to calculate the outcome of EPL games, the metric we will look at is the probability of a home team win, away team win and a draw.
We've taken the decision to only consider league games for data purposes and make no modifications.
The data collected would be this season’s scores and subsequent results.
For our example of calculating the probability of a match outcome, we use a simple model that looks back at the past three games of each team.
The outcomes can be calculated using a simple ratio. Let's say the home team won the past three matches, while the away team lost, won and drew one.
The ‘home win: draw: away win’ ratio would be 4:1:1 with the probability 4/6 =2/3 = 66.66% for a home win and 16.66% (1/6) for the other two outcomes.
This is a crude model but the intention here is to focus on the steps, not the actual model. Let's call it the ‘3 ratio model’.
Our ‘3 ratio model’ has a number of assumptions which would all need to be tested separately:
Once we have colleced the data, we build the model in an Excel file.
We can back-test the ‘3 Ratio Model’ to Leicester's 2014 Premier League games. Given they were promoted last season, we exclude the first three games. In testing we start to uncover issues:
In some cases there are no draws. For example when playing Hull away, Leicester had lost their previous three matches, while Hull had won one and lost two. Should we assume that the probability of a draw be zero in this case? Or should we make an adjustment? This means that we have to revisit steps 4 to 6.
If we had used only home matches for the home team and away matches for the away team, would the model results be significantly different? What if we use 2, 5 or 10 matches rather than 3? What if we included cup matches as well?
These results would need to be tested using different assumptions and see how sensitive our output is to each. The more the results vary, the more rigorous our testing should be (back to step 5).
Let's assume this model was accurate, it then needs to be maintained as time progresses. This would lead us back to the starting point of the model.
Now that you know how to build a betting model, go straight to the article Why your staking method is important to find out the five most popular staking strategies used by professional bettros across the world.