Looking at my data I have the felling the “Average points per week:” are calculated incorrectly?
My curve is almost a perfect line. So the prediction of “Average points per week:” should be higher. Maybe you are not considering the bonus points?
And a horizontal line at every 1000 points would be nice (in dotted grey colour or so)
73 Joe
This is not calculated, it’s a user input, with a default of 5.0 to start. It relies on you setting what you think is going to be your upcoming average rate. This does make it harder for you but easier for me 
I’ve edited the text to hopefully make that clearer for now.
Your suggestion on using historical data is still on my todo list, although winter bonuses do add another factor which I’ll probably skip anyway as regions have differences.
Greylines added 
Okay understood. I thought the whole point was to do that prediction for you.
A linear regression should be faily easy as you have the x,y data already
Linear Regression in Python – Real Python
My plan will be to add it as some information for you, e.g. “your past 6/12 months or 25 activations rate has been 6.2 points per week”. Not everyone will continue on their average rate though. Richard’s historical trend is an example of that, and Tim’s has a lot of variation.
Done
Thanks to Joe @OE5JFE, the app now shows you your average weekly rate, to inform you for deciding your point forward rate!
Simply wait for stunning results until it has been connected to artificial intelligence … or pair it with my real stupidity, hi.
73, DIZ
based on 5 points a week…Yeah thats bit hopeful!
