To find out how much sample data (number of lotto results) is needed in order to establish consistent probability data, four sets of data were analyzed.

~~My next objective is to test less than 4000 results and find out if the probability data remain significant. I'll update this post once I have done that. So, be back again.~~

Update. I tested 2664 lotto results that cover the 2011 to 2013 EZ2 draws. In the same report here, there were not much significant change in the probability data. Therefore, you can depend on the probability data even if they cover only the last 2600+ lotto results.

My purpose on testing fewer data was to make the EZ2 lotto tool that I was preparing lighter. If the tool covers more than 4000 results, the worksheet takes time to recalculate. I'd be making this tool, which you can download for free, available soon.

- 2004 - 2008 lotto results (1495 results)
- 2008 - 2013 lotto results (4798 results)
- 2011 - 2013 lotto results (2664 results, new data)
- 2004 - 2013 lotto results (6266 results)

Therefore, if sample data contains only 5000 results or less, statistics can fairly come up with significant probability data.

Update. I tested 2664 lotto results that cover the 2011 to 2013 EZ2 draws. In the same report here, there were not much significant change in the probability data. Therefore, you can depend on the probability data even if they cover only the last 2600+ lotto results.

My purpose on testing fewer data was to make the EZ2 lotto tool that I was preparing lighter. If the tool covers more than 4000 results, the worksheet takes time to recalculate. I'd be making this tool, which you can download for free, available soon.

You can view how the numbers ranked comparatively on this site. The article has been updated to show the comparative data.