It is naive to look at 2 data points to deduce the the slope of a wavy line. If all you have as data is your starting BR, your ending BR and the number of hands you played, then this is the best you can do. However, you have the graph of your BR on a hand-by-hand basis. You can take ALL the data points into account and do a "linear regression" to create a "linear best-fit line" and look at the slope of that line. This is a much more robust estimate of your winrate.

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Yeah you made it very clear for me. So super; . I would like to know more about statistics . Just out of interest and to look at poker from another point of view. Maybe i'm going to follow a course in the future.. To be honest i focus too much on my winrate but i 'm really trying NOT to do that.

So a linear best-fit line is a graph to define your "apparent" winrate and it is a more precise estimation because you have more data if i inderstand it correctly. And what do you mean with the data points ? Can you say that one data point is one hand in correspondance with a value expressed in dollar? So in fact, is the linear best-fit line based for instance on the green line in PT4 so the profit on the Y as and the number of hands on the x as ?