Numpty >>
salı haziran 27 - 18:34, Düzenlendi
salı haziran 27 - 19:00 I don't have much data yet, but the early results have a variation that I find a little difficult to explain. The increase in star value does not follow an obvious pattern.
For example I have 4 results for training speed on a forward, which I will summarise:
Forward 1
- Age 26y18w (90.77%)
- Speed increase from 4.45 to 5.36 (+0.91)
- Star Value increase from 17.65 to 18.35 (+0.70)
- Star Value percentage increase* in range 4.06%-4.70%
Forward 2
- Age 19y46w (100%)
- Speed increase from 4.75 to 5.75 (+1.00)
- Star Value increase from 11.40 to 11.75 (+0.35)
- Star Value percentage increase* in range 2.63%-3.52%
Forward 3
- Age 24y32w (94.33%)
- Speed increase from 4.95 to 5.90 (+0.9433)
- Star Value increase from 18.00 to 18.30 (+0.30)
- Star Value percentage increase* in range 1.47%-2.07%
Forward 4
- Age 31y08w (77.40%)
- Speed increase from 5.92 to 6.85 (+0.9288) (Athletic)
- Star Value increase from 34.80 to 35.30 (+0.50)
- Star Value percentage increase* in range 1.39%-1.70%
* Note - Star Value Percentage increase is pro-rated per 1 ball of speed to allow for comparison between players. It's a range to account for rounding errors.
As you can see the total increases in star value with these 4 players are from around 0.30 to 0.70, but could be a little either way due to rounding.
However, the pro-rated increases are from around 1.50% to over 4% for one ball of speed, so it's clearly not the same constant percentage increase that gets applied.
My 'working theory' so far is that the star value shows a percentage increase which varies with the current level of speed. So training an extra 1 ball of speed on a player with low speed has a greater effect on the star value than giving more speed to a player who already has quite a lot. This may of course turn out to be wrong.
Please feel free to let me have any constructive suggestions. Although what we really need is a lot more data.