Mark
I found that taking control of U18 selections didn't get followed so I have been managing both my lower grades for some time. It is good to have everyone match fit
So can I add, that what I posted was the additional focus aspect. You should also train each player to the position and role you want to play them in. Also check all players after each match and set any that are fatigued to rest for a few days. This will limit the injuries.
There have been a lot of questions about training focus for each position over many months on this website. I have generally approached this by looking at which individual additional training focus would suit the position best. After analysing the machine learning weightings against attributes that each individual additional training focus covers I think a rolling approach of between 1 and 4 training focuses should be used depending on the position.

To take the most advantage of the additional focus you need to have some of the training sessions that allow individual focus training in your weekly training schedules. The best schedules for this are Aerial Defence, Ground Defence, Chance Creation and Chance Conversion.

Here are the Training Focus calculations based on the GS Ratings, with the best individual focus schedules in blue for each position.



If you look at the ones that score at 150 points and above and then stick them into a 12 week schedule it looks like this:



After the 12 week cycle you need to start again at the top.
Rhumble said: Not sure if its been mentioned before , what does Genie Scout take into account when it gives its percentage ratings for positions , does it calculate whether a player is natural , accomplished etc... and what footed a player is , or is it purely on the attributes and weighting.

Ive tried adding up the main attributes and getting an average of ykykyk Balanced and i also look at pace and acceleration ,, the ones i work out on my own who i think will be a better fit for a position, never seem to be the players with the highest percentage for that position on Genie Scout,  is it better to use Genie scouts position percentage for finding a player for a position , or just use quickness and the main attributes that are weighted 100 - 60


Look at post #185 for positional offsets. I correct this back to normal and then deduct 2.5% offset for each point below 20 the player is in that position.

I do my own calculations after using either ykykyky or my own ratings. Both seem to work really well both for selection purposes in my squad and analysing the players my scouts find. You cant go wrong using players with high acceleration, and using the higher rated attributes from the machine learning ratings will always get you someone worthwhile. You can do as much work or as little as you feel comfortable with.

Also take into account injury proneness, professionalism and how players will fit into the club dynamics.  The main thing is that you enjoy yourself.
dzek said: I will ask you if you can try and average it as it is in the game. I mean lets say "Ilaix Moriba" Has natural position as AMC but his attributes in GS says that it will be better in RB by far and with many more players like Haaland from striker to AMC etc.

Cant say I have ever worried about the General Rating. It takes too long to retrain people from scratch. It could just be minor errors in the balancing I did that throws that up. It is not exact as you cannot use partial percentages and attribute weightings are limited to whole numbers and cant go above 100. So there are major limitations on getting it exact. I rely more on the Positional Ratings. At least there they have some existing ability that can be built upon. I doubt the attributes are identical but in my game Moriba would be best as a central midfielder, MC, DM, AMC and maybe left winger. I wouldn't try outside of that. He could fill in as a right winger but I would do that sparingly.
dzek said: Indeed but i think there is a problem with weightings because in my save there is no one player who the best position in "General Rating" is FS or TS. The most player are better in FB, WB or W.

You can adjust the weightings for positions to offset this. I tried around a dozen different saves and averaged it. It is not perfect, so you can adjust as you see fit
lordus said: I am new to this... What exactly does the weight coefficient do in Genie Scout?
The values ​​there are exactly the values ​​you get when generating a player with 20 in all attributes for a specific position. For example FS is 109% and the weight in Genie Scout is 109 (based on "ykykyk balanced" ).


The weighting eg 109% for FS is the balancing aspect that allows you to compare players across positions. Otherwise all the top players would be from one position. You can strip the weightings out if you want and just make all positions 100%. I would suggest you save that rating with a different name in case you don't like the results.
Rhumble said: Im finishing off a save on 2021 , do you think the ykykyky balanced will work on 2021 , or is there a disparage between the attributes needed ,, the file works on 2021 , but im guessing the attributes are based on 2022 , is there much difference i need to make it work for 2021 or should i forget using it for 2021

You definitely use the ratings in 2021 version. The changes each year are quite minimal. Pace and Acceleration have always had the biggest impact, but some positions more than others.
lordus said: First of all good work! I love meta-analyses like this!
If you compare within a position, that's great! But if I want to find out which position a youth player should play in the future, the result is usually Winger or FB. For example, if I create a player with 20 in all attributes, a winger gets 120% and a FS gets 109%. Or do I just normalize the result to 100%? Is it even possible to decide in this way which position is the best for a player?


That is an interesting question and one I have thought about a few times. I have meant to run some tests on this but have yet to get to it. Leave it with me and I will have a look in a few weeks.
gazmlrs said: In GS - when you club search - youre able to check the average rating % for the squad (first team).  But the ratings dont correspond - e.g Fylde in Vanarama North has average ratings of 62% (but the highest player for Zaz (50 minus 25) is 58.7%.

If you go to the club list screen and select your division/league, and then double click on your side you will see the rating for your team using the current ratings file. It will initially be based on a 4-4-2 set up. To see the other sides in your league you can press the left or right arrow to scroll through. all the ratings will be based on the formation your have selected with the default being 4-4-2.

I tend to calculate my own ratings because the offset for non natural players is much lower in the GS calculations.
Falbravv said: Thanks a lot, i try it now !

Let me know how it goes mate. I am hoping you now have what you were after
Falbravv said: Hope it'll help

The information exist on GS, but i think it's impossible to see it in columns.
It's my only request.


I noticed you are managing Holstein Kiel. I play golf here in Australia with a mate who was born in Kiel, so I have played them a few times as well. Good fun getting them to Bundesliga and then challenging Bayern for the title. Good luck and let me know how you go.
Falbravv said: If you want to test something to go close, i promise you to use it :woot:

Thanks for the answer


Here is the formula that is very close to the mark. I only tested it against Wingers downloading data to Excel. In the formula A1 is the location of the rating you want to manipulate and B1 is the location of the position score out of 20. Down to about 10 out of 20 the derived score was within 0.1-0.2% of the general rating score. Below that the variance tends to blow out a fair bit.

=A1*(1-(20-B2)/46)/(1-(20-B1)/40)

I am sure the calculation could be simplified but I haven't had much time to work on it.

Update:

I now have it all within 0.1% and is working across all the positions.

Here is the updated formula, it seems like there are 2 cut off points, position score below 5, position score below 10:

=IF(B1<5,A1*(1-(20-B1)/55.5)/(1-(20-B1)/40),IF(B1<10,A1*(1-(20-B1)/48)/(1-(20-B1)/40),A1*(1-(20-B1)/46)/(1-(20-B1)/40)))

General Ratings calculations in Excel



Genie Scout General Ratings



Falbravv said: If you want to test something to go close, i promise you to use it :woot:

Thanks for the answer


I will have something for you in a couple of days.
Falbravv said: Hope it'll help

The information exist on GS, but i think it's impossible to see it in columns.
It's my only request.


Yes, it is one of the fields you cant get access to. I can derive it down to about 10 out of 20. Beyond that I have nothing. If you are only interested in the players and their positions that have 10+ for positions I think I can go close. Otherwise I am sorry but I cant help
Falbravv said: I don't think I explained well enough.

In GS, when choosing the columns to see the player's level on a POSITION, this number is affected (decreased?) by the position rating. It can be very useful but I don't want this note to be affected by the position note.

So when I go to the player's file, there is indeed an OVERALL RATING, which presents the ABSOLUTE rating of the player on the position, without being affected by his ability to evolve, and it is exactly this rating that interested, but no column seems to present this.

I therefore have to go and visualize player by player his ability to evolve in this position, even if his position score is 0 or 5 or 10.

I hope I was clearer, sorry again.


Sorry mate I really don't understand. Can you post an image that includes the field you are looking at in the players file and identify the field name and I will have a further look at it

Thanks
Falbravv said: Hi all, i have a simple question.

I've read it all, many times, here and on other sites, I'm passionate about the work done by the members here, but I have a simple request.
My way of looking for players on Genie Scout is as follows: I use the 50 minus 25 zaz balanced by Mark, as I much prefer a filter that maximizes important attributes rather than a balance that can lead to misinformation.
Now I encounter a problem with this magnificent filter: I would like to have the raw rating (general rating) which does not modify the rating according to the affinity with the position.
Because I want to be able to manage this problem on my side and decide to teach the player the new position. But I would like the general note to come out directly, I find it easier to find players who can stick to several positions.
I hope my request is clear, and if this filter already exists, I apologize, I'm not English and I may have missed a subtlety.

thank you again for the exceptional and exciting work done here.

Edit: i haven't mentionned that maybe the problem is the choice of column in my GS, but i haven't find a column which gave me this General Note without balance of positionning.


I am not sure I understand what you are after. For clarification, balanced just means I have attempted to even out the positional ratings. If you just use the raw attribute ratings from the machine learning numbers some positions end up with much higher ratings than other positions.

Here is the layout view that I use. It has the positional rating for each position and their ability out of 20 for each position.

Layout View

You just need to stick this in the C:\FM Genie Scout 22g\Layouts folder and then select it in Genie Scout. You might need to restart GS, I am not sure.

The best rating will tell you how good a player they are in general. If you manage to bring up their ability for the position you want to use them in to 20, their positional rating will be maximised for that position.

I hope that helps
Enok said: I am not understanding are this attributes more important than the other u posted up which show which attributes can improve.Can u plaese explain.

@Middleweight165 and @Enok sorry for the delay I have been away. These are calculated using the attribute costs as well as most important.
Middleweight165 said: Is this still applicable @Mark? I know it was published before the chinese results were published

After the machine learning results I applied the same logic and now use:

Position    Focus
GK    GK Reactions
DC    Quickness
DRL    Endurance
DM    Passing
MRL    Quickness
AMRL    Quickness
MC    Passing
AMC    Quickness
ST    Ball Control
Zippo said: At some point when I have a bit more more free time I'll make a detailed post about the players development and training.

Any progress on this @Zippo