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Found 30 results

  1. I absolutley hate it when nearly all attributes of a player decrease. Is there something you can do against it in general? Or do you just have to wait until a player of yours get picked and then you have to enjoy the "nice feature"? 0,2 Points down is a lot, when you consider that nearly all of the attributes of a player gets affected. Two cases that are standing out: 1. Youth player, lot of potential, enough gametime, enough resting, loses 0,2 in many areas. When I warn him to increase his training level, he says he already does the maximum. Is he lying? 2. More Serious case: Boatengs Attribute values keep dropping for month now. Passing from 15,0 to 14,4; Stanima from 14,0 to 13,4; First Touch from 13,0 to 12,4, most other attributes down 0,2. I warned him three times now to increase his training level (first time was four month ago), each time he was okay with it and said that he will prove he deserves a chance in the first team. On the pitch I have no complaints about him. What can I do? Does high professionalism prevent such development?
  2. Before I acquired a regen recently via transfer, the scouting report said that he "enjoys big matches". Now that he's part of my squad, this attribute has disappeared from his report. He's only 24. Is it possible the scouting report was inaccurate or has his mentality changed? Thanks.
  3. Making the assumption, which I know is wrong, that average rating is influenced by our player attributes. Is it possible, and how exactly, to do a statistic regression to estimate what the average rating of any player is going to be? I am not interested in the accuracy of the prediction, because the predictions is more likely going to fail, because there are other factors influencing the outcome. What interests me, and I don't know if that makes the question off topic sub forum material is the how to. For example is it going to be a linear regression? Is it going to be a logistic regression? is it going to be an ordinal regression? If it is a linear regression how do we explain negative coefficients if there is no negative effect on attributes? How much data sample size do we need for such a regression? Eventually, it is not the average rating I want to predict, but to find a way to estimate Y to create a "score" or "rating" for any given player, if I know their attributes, so that I can say player A is most likely better than player B. Has anyone attempted anything similar? Give details.
  4. Hi, I have some questions regarding about Football Manager Mobile 2018. I have tried searching on the forum here but I did not find the information I need and I would rather have someone who works for SI to answer my questions rather than some random user (sorry user!). I have found some information on fmmvibe and fmmobile but I am not sure if those information are accurate or just user's opinions. Basically, these are the roles i have chosen for my tactic: Goalkeeper WingBack and FullBack (depending on the match) Central Defender Central Midfielder Deep-Lying Playmaker Inside Forward Advanced Playmaker Poacher So my questions are as follows: Question 1 Which are the key attributes and the preferred attributes for each of the roles mentioned above? Question 2 Which attributes does each of the focus (Fitness, Tactics, Attacking, Goalkeeping, Defensive and Motivational) training improves? Question 3 Which attributes CANNOT be trained nor will it increase by match experience? Question 4 Which attributes are hidden and affects the current ability or potential ability I hope you would be able to answer each of my questions. Kind Regards, Jon
  5. What is people's approach to player attribute values. Historically if signing a winger for instance, I would create my search with a basic start of point of; dribbling, crossing and pace 15+. if the results were large I would either increase to 16+ or add in acceleration, finishing, flair. So on until the search brings back just a few valid options. I very rarely care what the players other stats are outside of my search criteria (a bit like the 'moneyball' approach, I want the players for the best stats in their position -> if I have a winger that can dribble and cross then I don't care if he has tackling 3 because I will have a full back that can tackle and head). However, I'm noticing very few 'wonderkids' come with stand out stats so I see them in the future having many 12-16s across the board but very few 18-20s. Are well rounded players better than people whose key stats for their role are higher? to put this in greater context... Cleon's art of counter attacking specifies (paraphrase) in long term search for players with... crossing, dribbling, first touch, technique, aggression, bravery, off the ball, work rate, teamwork, pace, acceleration, stamina, strength. (for counter attacking formation) If I use all these attributes and search for maybe 10/13 as 15+ I will get no results... I would probably at best get a few players at 11/12 + so should I look for 13/13 of the above attributes with 10+ value... or cut it to 6/7 out of the 13 attributes but look for higher scores? what is your approach?
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