Gheorghe Hagi

Profile

https://en.m.wikipedia.org/wiki/FC_Viitorul_Constan%C8%9Ba
Team Information
- Previous name: Adrianopol F.C.
- Founded: April 2019
- Ground: Adrianopol Stadium
- Capacity: 28700

First supertalents: https://www.virtualmanager.com/players/13946280-sidney-hellmann
https://www.virtualmanager.com/players/14077952-simion-preoteasa/training

First youth supertament discovered by my scouts: https://www.virtualmanager.com/players/13746763-pepe-villa

Season Update: https://www.virtualmanager.com/season_update
Stats about online users: https://vmanstats.dk/online/

League total ratings comparison (new version):
https://vmanstats.dk/clubs/1284162/seeding/

Join Cup: https://www.virtualmanager.com/cups/31
Important read: https://www.virtualmanager.com/forums/topics/1196136-projecting-a-player-life-cycle


CLUB: FINANCES
- Highest Bank Balance ...... 51M C - 13 Feb 2020
- Highest Team Value ........... 79,794,100M C - 27 Apr 2020
- Highest Player Value .......... 9,970,000 C - Siaaneq Stenholdt (2020-02)
- Highest season Tickets ........ 3,249,677 C (2020 - 16) @ 25600 seats +5400 youth seats
- Highest match income............. 179,200 C - 7 April 2020


TRAINING

- Highest Club Train ........... +205 on PTF, 168 on ETF ( 25/08/2020)
- Highest Player Train on PTF ........ 314 % - Simion Preoteasa (25 june 2020)
- Highest Player Train on ETF ........ 264 % - Ove Rønning (14 Jan 2020)

- Highest Player Average .... 164% on ETF - Pepe Villa (11 Feb 2020)
PTF:
1 Anthonius Derk Frans +177 xp
2 Sidney Hellmann Talent +171 xp
3 Nicolas-andres Scotto +171 xp

PTF
upgraded on 13 February 2020
ETF upgraded on 25 October 2019

TRANSFERS
- Highest Fee Paid ............. 6,111,112 C - Siaaneq Stenholdt , 2019-52
- Highest Fee Received ....... 10,000,010 C - Pepe Villa, 2020-07
- Largest Profit on Player .... 2.2M C Djordje Ternopilskyj, (1 Sept 2019)

Highest VIFA Points: 68,629- 31 May 2020
Highest VIFA rank: #244 - 24 July 2020

Most supporters: 10714- 02 June 2020

Biggest average rating: 50 - 04 Mar 2020
Biggest average VTR: 901 - 21 Apr 2020
Total VTR: 35151- 04 Apr 2020
Biggest average value: 3,433,600 C - 14 June 2020
--------------------------------------------------------------------------------------------------------------------------
Useful resources:

https://app.vmaninfo.dk/clubs/1284162
https://chrome.google.com/webstore/detail/vmaninfo/lcimnjnmdmddmnliinlnofkmjaicfppo
https://www.virtualmanager.com/forums/topics/1146535-the-rating-number
https://www.virtualmanager.com/forums/topics/1146530-the-match-engine
https://www.virtualmanager.com/managers/911088
https://www.virtualmanager.com/managers/217547
https://www.virtualmanager.com/forums/topics/1177054-virtual-manager-enhancer
https://chrome.google.com/webstore/detail/vmenhancer-a-new-virtual/mbpaopmgmhnnnjhickacklkgogiikblf?hl=en

--------------------------------------------------------------------------------------------------------------------------

Training chart for different facilities level:



V2:
--------------------------------------------------------------------------------------------------------------------------
Player evolution:


And in chart format it looks like this:



For the most part we can see that a player’s Total Abilities peak happens at roughly 31 years old and there is an exponential decline past that stage, due to decline in abilities and training scores (also noting decline in stamina->energy->training intensity). You can see that the lower the training score the flatter the curve which is to be expected.

But this is all information you kind of knew already. The real meat of this is how we can apply this to model a player’s rating over the course of his life cycle.

Let’s assume a player is trained ‘well’. This is not a training article so I’m not going to bother explaining what a ‘well’ trained player looks like but there’s plenty of information out there for you to get a good picture of what I’m talking about.

The only other thing worth noting for what I’m about to show you is that this is modelling a Forward. The models for most outfield positions would look fairly similar anyway, just Midfielders who’s rating curves would be flatter due to the way their rating calculations work out. We’ll talk about how to deal with that later

Again, here are the figures:



And here’s the chart for good measure:


--------------------------------------------------------------------------------------------------------------------------
Scout reports potential ranges:

Sex Male
Country Romania
Age 36
Time since registration Over 1 year ago