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Hi mates, I have made this list for v5.3 updates of FMH2014. In this list you can check the CA and PA changes from v5.1 to v5.3, and you can find which players are added in v5.3 and who are removed in v5.3. Note: 1. v5.3 datas are got from data/database/england 2. v5.1 datas are got from data/database/archive/18/england 3. The list has 3 sheets - Sheet "England Players" for who are both in v5.1 and v5.3 - Sheet "England Remove Palyers" for who are in v5.1 but not in v5.3 - Sheet "England New Add Players" for who are in v5.3 but not in v5.1 4. If you will use this list on iOS or Android device, app "WPS" is recommanded. Because you can use filter fuction in it. Download Link: here Sreen Shots http://community.fmhvibe.co.uk/?app=gallery&module=gallery&controller=view&id=2856 http://community.fmhvibe.co.uk/?app=gallery&module=gallery&controller=view&id=2857 http://community.fmhvibe.co.uk/?app=gallery&module=gallery&controller=view&id=2858 http://community.fmhvibe.co.uk/?app=gallery&module=gallery&controller=view&id=2859 http://community.fmhvibe.co.uk/?app=gallery&module=gallery&controller=view&id=2860 http://community.fmhvibe.co.uk/?app=gallery&module=gallery&controller=view&id=2861 http://community.fmhvibe.co.uk/?app=gallery&module=gallery&controller=view&id=2862 http://community.fmhvibe.co.uk/?app=gallery&module=gallery&controller=view&id=2863 Update -002 Below players are missed in version 001. Now, they are in version 002 Players are both in v5.3 and v5.1. 98003635 Ricardo Rodríguez 20 Switzerland 98003821 Granit Xhaka 20 Switzerland 98003827 Xherdan Shaqiri 21 Switzerland 98004008 Loris Benito 21 Spain 98005085 François Moubandje 23 Switzerland 98029336 Kevin Mbabu 18 Switzerland Players are in v5.3 but not in v5.1 98006385 Josip Drmic 20 Switzerland 98028755 Mohamed Salah 21 Egypt Players are in v5.1 but not in v5.3 98003831 Andelko Savic 20 Switzerland 98006732 Branislav Micic 23 Switzerland

I have always assumed that the average PA of all the players in the game doesn't differ from league to league. I extended this to thinking that this would mean that the number of in game stars or "wonderkids" (I set this at an arbitrary 180 PA or greater) would also be consistent no matter which database you chose as your starting league. However having played most of my careers in England, I have recently branched out to other countries and whilst playing a career as coach of Bayern noticed that Emre Can had a PA of 200. This caused me to realise that I have never encountered this whilst playing in England. This seemed weird so I decided to run a little experiment (yes I know I have way to much time on my hands or at least am too anal). Anyway the conditions for the experiment were this 1. Pick a club and create a new game for that club. Count how many players 24 yo or younger who had a PA of at least 180. As an extra, also register how many players had a PA of 190 or greater (so-called superstars). This means that the count would include those players with a hard coded PA such as Balotelli or Ter Stegen. 2. Repeat this at least 10 times 3. Experiment conducted with FHM2014 Update. 4. Note I only chose one league for each game, so I have no idea whether larger databases would affect these results The results were as follows: Game starting with coaching ManU Average Players 180+ : 21.5 Average Players 190+: 2 Sample Size: 11 Game starting with coaching Barcelona 180+ : 22.9 190+: 3.2 Sample size: 20 Game starting with coaching Bayern: 180+: 24 190+: 2.8 Sample Size: 10 Game starting as coach of Liverpool and England 180+: 19.3 190+: 1.7 Sample Size: 17 Game starting as coach of ManU and England 180+: 20.3 190+: 1.9 Sample Size: 10 Coaching Barcelona and Spain 180+: 23.3 190+: 2.9 Coaching Bayern and Italy 180+: 25 190+: 2.5 Coaching FCP and Portugal 180+: 24.6 190+: 2.5 Conclusions Given it is a small sample size, I don't believe any hard conclusions should be drawn. But the results suggest the following observations; 1. That some leagues are more conducive for producing super stars (PA 190+) than others. 2. Some leagues are more conducive for producing stars (PA180+) than others. 2. If some leagues are more conducive to producing stars than others this might change which leagues you choose depending on what you are looking for in your game. England for example will probably make you long more for regens than Germany say. 3. As an additional observation, I have only encountered 1 instance of a player with a PA of 200 in any of the English games. However both Spain and Germany had a number of instances of this occurring. I regret not recording this now but I estimate somewhere in the order of 20% of the generated games in these 2 leagues had one (never more) player with a max PA 4. I didn't measure whether league chosen had any affect on the countries from which the stars were generated from but incidental observations suggests not.