Marktwert: Unterschied zwischen den Versionen

Aus Online-Soccer-Wiki
Zur Navigation springen Zur Suche springen
Keine Bearbeitungszusammenfassung
Keine Bearbeitungszusammenfassung
Zeile 1: Zeile 1:
Die Formel für den Marktwert lautet
Die Formel für den Marktwert lautet


(1+(Opti/100))^8,1*(1+(Skill/100))^5,65*(1+(100-Alter)/49)^10
'''[1 + (Opti / 100)] ^ 8,1 * [1 + (Skill / 100)] ^ 5,65 * [1 + (100 - Alter) / 49] ^ 10''' <br><br>


Das Alter wird dabei ZAT-genau berücksichtigt, einen ZAT vor dem 25. Geburtstag also z.B. mit 24 + 71/72 = 24,986.
Das Alter wird dabei ZAT-genau berücksichtigt, einen ZAT vor dem 25. Geburtstag also z.B. mit 24 + (71 / 72) = 24,986.


Dazu bekommt man dann jeweils einen Zuschlag von +2,5% für jeden der Sonderskills (s. Torinstinkt, Elfmeterkiller etc.).
Dazu bekommt man dann jeweils einen Zuschlag von +2,5% für jeden der Sonderskills (s. Torinstinkt, Elfmeterkiller etc.).
Zeile 9: Zeile 9:


Ergänzt wird das ganze durch einen "Trainingsfaktor", der mit einem durchschnittlichen Bereich zwischen 97% und 103% (ein paar Spieler OS-weit sind Ausreißer, die sind aber so beabsichtigt) die Trainierbarkeit des Spielers , also die zukünftige mögliche Marktwertentwicklung bewertet.
Ergänzt wird das ganze durch einen "Trainingsfaktor", der mit einem durchschnittlichen Bereich zwischen 97% und 103% (ein paar Spieler OS-weit sind Ausreißer, die sind aber so beabsichtigt) die Trainierbarkeit des Spielers , also die zukünftige mögliche Marktwertentwicklung bewertet.
Extrembeispiele zu Saison 15 ZAT 0 sind:
{| class="wikitable" <!-- generated with [[w:de:Wikipedia:Technik/Text/Basic/EXCEL-Tabellenumwandlung]] V2.0 -->
|- style="font-weight:bold" align="center" valign="top"
| width="37" height="26" | Sp_ID
| width="139" | Name
| width="30" | Alter
| width="28" | Pos
| width="32" | Skill
| width="32" | Opti
| width="26" | ABS<br />SCH
| width="26" | STS<br />BAK
| width="26" | FAN<br />KOB
| width="27" | STB<br />ZWK
| width="25" | SPL<br />DEC
| width="26" | REF<br />GES
|style="color:#BFBFBF" width="26" | FUQ
|style="color:#BFBFBF" width="24" | ERF
| width="27" | AGG
| width="26" | PAS
| width="26" | AUS
| width="25" | UEB
|style="color:#BFBFBF" width="25" | WID
|style="color:#BFBFBF" width="24" | SEL
|style="color:#BFBFBF" width="22" | DIS
| width="24" | ZUV
|style="color:#BFBFBF" width="21" | EIN
| width="38" | S_Skill
|style="background-color:#D9D9D9" width="81" | Trainingsfaktor
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 120919
| Gunnar Klüft
| align="right" | 20,08
|  TOR
| align="right" | 42,82
| align="right" | 72,30
| align="right" | 28
| align="right" | 32
|style="font-weight:bold" align="right" | 77
|style="font-weight:bold" align="right" | 77
|style="font-weight:bold" align="right" | 76
|style="font-weight:bold" align="right" | 76
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 8
| align="right" | 29
| align="right" | 35
| align="right" | 33
| align="right" | 36
|style="color:#BFBFBF" align="right" | 24
|style="color:#BFBFBF" align="right" | 23
|style="color:#BFBFBF" align="right" | 81
| align="right" | 32
|style="color:#BFBFBF" align="right" | 61
| E
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 94,95%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 121108
| Edivaldo Hurst
| align="right" | 19,00
| ABW
| align="right" | 44,76
| align="right" | 74,26
| align="right" | 23
| align="right" | 26
|style="font-weight:bold" align="right" | 77
|style="font-weight:bold" align="right" | 78
|style="font-weight:bold" align="right" | 78
| align="right" | 28
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 14
| align="right" | 27
| align="right" | 27
| align="right" | 22
| align="right" | 25
|style="color:#BFBFBF" align="right" | 45
|style="color:#BFBFBF" align="right" | 75
|style="color:#BFBFBF" align="right" | 49
|style="font-weight:bold" align="right" | 78
|style="color:#BFBFBF" align="right" | 89
| align="right" | &nbsp;
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 94,65%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 118775
| Edy Bauer
| align="right" | 19,17
| DMI
| align="right" | 35,24
| align="right" | 67,37
| align="right" | 24
|style="font-weight:bold" align="right" | 77
| align="right" | 23
| align="right" | 23
|style="font-weight:bold" align="right" | 77
| align="right" | 22
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 12
| align="right" | 22
|style="font-weight:bold" align="right" | 75
| align="right" | 24
|style="font-weight:bold" align="right" | 76
|style="color:#BFBFBF" align="right" | 39
|style="color:#BFBFBF" align="right" | 29
|style="color:#BFBFBF" align="right" | 2
| align="right" | 26
|style="color:#BFBFBF" align="right" | 48
| S
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 94,87%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 125082
| Michel Emden
| align="right" | 19,83
| MIT
| align="right" | 40,29
| align="right" | 68,19
| align="right" | 27
|style="font-weight:bold" align="right" | 72
| align="right" | 25
|style="font-weight:bold" align="right" | 72
| align="right" | 28
| align="right" | 29
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 8
| align="right" | 29
|style="font-weight:bold" align="right" | 72
| align="right" | 34
|style="font-weight:bold" align="right" | 73
|style="color:#BFBFBF" align="right" | 60
|style="color:#BFBFBF" align="right" | 46
|style="color:#BFBFBF" align="right" | 77
| align="right" | 30
|style="color:#BFBFBF" align="right" | 3
| align="right" | &nbsp;
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 94,84%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 129569
| Tom Van Haver
| align="right" | 18,75
| OMI
| align="right" | 35,24
| align="right" | 57,74
| align="right" | 20
|style="font-weight:bold" align="right" | 59
| align="right" | 28
| align="right" | 24
| align="right" | 21
|style="font-weight:bold" align="right" | 60
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 5
| align="right" | 19
|style="font-weight:bold" align="right" | 61
| align="right" | 29
|style="font-weight:bold" align="right" | 60
|style="color:#BFBFBF" align="right" | 77
|style="color:#BFBFBF" align="right" | 17
|style="color:#BFBFBF" align="right" | 16
| align="right" | 28
|style="color:#BFBFBF" align="right" | 75
| align="right" | &nbsp;
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 94,81%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 125919
| Nikica Krizanic
| align="right" | 19,00
| STU
| align="right" | 41,18
| align="right" | 63,85
|style="font-weight:bold" align="right" | 65
| align="right" | 33
|style="font-weight:bold" align="right" | 64
|style="font-weight:bold" align="right" | 63
| align="right" | 32
|style="font-weight:bold" align="right" | 64
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 5
| align="right" | 29
| align="right" | 36
| align="right" | 32
| align="right" | 37
|style="color:#BFBFBF" align="right" | 6
|style="color:#BFBFBF" align="right" | 90
|style="color:#BFBFBF" align="right" | 72
| align="right" | 30
|style="color:#BFBFBF" align="right" | 42
| align="right" | &nbsp;
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 94,83%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 45300
| Pino Zoff
| align="right" | 31,67
|  TOR
| align="right" | 64,35
| align="right" | 94,00
| align="right" | 44
| align="right" | 80
|style="font-weight:bold" align="right" | 90
|style="font-weight:bold" align="right" | 91
|style="font-weight:bold" align="right" | 90
|style="font-weight:bold" align="right" | 90
|style="color:#BFBFBF" align="right" | 12
|style="color:#BFBFBF" align="right" | 99
| align="right" | 33
| align="right" | 41
| align="right" | 53
| align="right" | 49
|style="color:#BFBFBF" align="right" | 61
|style="color:#BFBFBF" align="right" | 72
|style="color:#BFBFBF" align="right" | 97
| align="right" | 69
|style="color:#BFBFBF" align="right" | 23
| E
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 100,02%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 59359
| Donald Makolm
| align="right" | 30,00
| ABW
| align="right" | 66,47
| align="right" | 94,00
| align="right" | 31
| align="right" | 65
|style="font-weight:bold" align="right" | 85
|style="font-weight:bold" align="right" | 90
|style="font-weight:bold" align="right" | 90
| align="right" | 70
|style="color:#BFBFBF" align="right" | 11
|style="color:#BFBFBF" align="right" | 99
| align="right" | 73
| align="right" | 65
| align="right" | 65
| align="right" | 69
|style="color:#BFBFBF" align="right" | 79
|style="color:#BFBFBF" align="right" | 35
|style="color:#BFBFBF" align="right" | 98
|style="font-weight:bold" align="right" | 87
|style="color:#BFBFBF" align="right" | 18
| align="right" | &nbsp;
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 99,97%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 43399
| Mile Kis
| align="right" | 31,17
| DMI
| align="right" | 67,24
| align="right" | 92,85
| align="right" | 46
|style="font-weight:bold" align="right" | 85
| align="right" | 53
| align="right" | 82
|style="font-weight:bold" align="right" | 85
| align="right" | 76
|style="color:#BFBFBF" align="right" | 36
|style="color:#BFBFBF" align="right" | 99
| align="right" | 47
|style="font-weight:bold" align="right" | 85
| align="right" | 57
|style="font-weight:bold" align="right" | 86
|style="color:#BFBFBF" align="right" | 88
|style="color:#BFBFBF" align="right" | 91
|style="color:#BFBFBF" align="right" | 52
| align="right" | 50
|style="color:#BFBFBF" align="right" | 25
| LSG
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 99,98%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 74935
| Steffen Max
| align="right" | 28,83
| MIT
| align="right" | 71,47
| align="right" | 97,59
| align="right" | 64
|style="font-weight:bold" align="right" | 85
| align="right" | 61
|style="font-weight:bold" align="right" | 90
| align="right" | 28
| align="right" | 67
|style="color:#BFBFBF" align="right" | 99
|style="color:#BFBFBF" align="right" | 99
| align="right" | 37
|style="font-weight:bold" align="right" | 90
| align="right" | 64
|style="font-weight:bold" align="right" | 90
|style="color:#BFBFBF" align="right" | 40
|style="color:#BFBFBF" align="right" | 94
|style="color:#BFBFBF" align="right" | 95
| align="right" | 61
|style="color:#BFBFBF" align="right" | 51
| S
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 100,01%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 75326
| Alejandro Arria
| align="right" | 28,25
| OMI
| align="right" | 67,65
| align="right" | 92,96
| align="right" | 75
|style="font-weight:bold" align="right" | 85
| align="right" | 45
| align="right" | 80
| align="right" | 45
|style="font-weight:bold" align="right" | 85
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 99
| align="right" | 46
|style="font-weight:bold" align="right" | 85
| align="right" | 46
|style="font-weight:bold" align="right" | 85
|style="color:#BFBFBF" align="right" | 46
|style="color:#BFBFBF" align="right" | 80
|style="color:#BFBFBF" align="right" | 99
| align="right" | 63
|style="color:#BFBFBF" align="right" | 86
| SFG
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 100,03%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 55041
| Hinga King
| align="right" | 31,92
| STU
| align="right" | 69,35
| align="right" | 94,04
|style="font-weight:bold" align="right" | 85
| align="right" | 85
|style="font-weight:bold" align="right" | 85
|style="font-weight:bold" align="right" | 85
| align="right" | 50
|style="font-weight:bold" align="right" | 85
|style="color:#BFBFBF" align="right" | 58
|style="color:#BFBFBF" align="right" | 99
| align="right" | 51
| align="right" | 55
| align="right" | 75
| align="right" | 75
|style="color:#BFBFBF" align="right" | 3
|style="color:#BFBFBF" align="right" | 85
|style="color:#BFBFBF" align="right" | 48
| align="right" | 67
|style="color:#BFBFBF" align="right" | 88
| FT
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 99,99%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 103209
| Bittor Galvez Lopez
| align="right" | 22,42
|  TOR
| align="right" | 41,35
| align="right" | 69,00
| align="right" | 17
| align="right" | 19
|style="font-weight:bold" align="right" | 90
|style="font-weight:bold" align="right" | 26
|style="font-weight:bold" align="right" | 89
|style="font-weight:bold" align="right" | 85
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 25
| align="right" | 17
| align="right" | 21
| align="right" | 18
| align="right" | 22
|style="color:#BFBFBF" align="right" | 84
|style="color:#BFBFBF" align="right" | 82
|style="color:#BFBFBF" align="right" | 12
| align="right" | 24
|style="color:#BFBFBF" align="right" | 72
| E
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 115,76%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 126049
| Muhammed Akif
| align="right" | 19,00
| ABW
| align="right" | 46,24
| align="right" | 77,85
| align="right" | 46
| align="right" | 38
|style="font-weight:bold" align="right" | 60
|style="font-weight:bold" align="right" | 99
|style="font-weight:bold" align="right" | 80
| align="right" | 30
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 6
| align="right" | 37
| align="right" | 48
| align="right" | 40
| align="right" | 26
|style="color:#BFBFBF" align="right" | 60
|style="color:#BFBFBF" align="right" | 97
|style="color:#BFBFBF" align="right" | 0
|style="font-weight:bold" align="right" | 90
|style="color:#BFBFBF" align="right" | 29
| align="right" | &nbsp;
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 115,33%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 116058
| Lambert Vibert
| align="right" | 21,33
| DMI
| align="right" | 45,59
| align="right" | 69,44
| align="right" | 27
|style="font-weight:bold" align="right" | 69
| align="right" | 32
| align="right" | 22
|style="font-weight:bold" align="right" | 29
| align="right" | 69
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 14
| align="right" | 32
|style="font-weight:bold" align="right" | 87
| align="right" | 34
|style="font-weight:bold" align="right" | 90
|style="color:#BFBFBF" align="right" | 54
|style="color:#BFBFBF" align="right" | 44
|style="color:#BFBFBF" align="right" | 53
| align="right" | 34
|style="color:#BFBFBF" align="right" | 85
| align="right" | &nbsp;
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 115,09%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 116994
| Carsten Herrschaft
| align="right" | 21,83
| MIT
| align="right" | 51,76
| align="right" | 79,11
| align="right" | 37
|style="font-weight:bold" align="right" | 90
| align="right" | 48
|style="font-weight:bold" align="right" | 34
| align="right" | 70
| align="right" | 67
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 19
| align="right" | 47
|style="font-weight:bold" align="right" | 99
| align="right" | 50
|style="font-weight:bold" align="right" | 91
|style="color:#BFBFBF" align="right" | 64
|style="color:#BFBFBF" align="right" | 51
|style="color:#BFBFBF" align="right" | 11
| align="right" | 32
|style="color:#BFBFBF" align="right" | 70
| S
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 119,06%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 111037
| Samet Tokgöz
| align="right" | 22,25
| OMI
| align="right" | 46,29
| align="right" | 74,78
| align="right" | 37
|style="font-weight:bold" align="right" | 88
| align="right" | 39
| align="right" | 89
| align="right" | 45
|style="font-weight:bold" align="right" | 40
|style="color:#BFBFBF" align="right" | 0
|style="color:#BFBFBF" align="right" | 37
| align="right" | 49
|style="font-weight:bold" align="right" | 84
| align="right" | 29
|style="font-weight:bold" align="right" | 96
|style="color:#BFBFBF" align="right" | 2
|style="color:#BFBFBF" align="right" | 76
|style="color:#BFBFBF" align="right" | 1
| align="right" | 33
|style="color:#BFBFBF" align="right" | 42
| S
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 116,17%
|- style="font-size:11pt"  valign="bottom"
| align="right" height="15" | 106120
| Florian Heideck
| align="right" | 23,00
| STU
| align="right" | 63,82
| align="right" | 83,44
|style="font-weight:bold" align="right" | 85
| align="right" | 71
|style="font-weight:bold" align="right" | 32
|style="font-weight:bold" align="right" | 84
| align="right" | 27
|style="font-weight:bold" align="right" | 91
|style="color:#BFBFBF" align="right" | 73
|style="color:#BFBFBF" align="right" | 50
| align="right" | 29
| align="right" | 75
| align="right" | 29
| align="right" | 84
|style="color:#BFBFBF" align="right" | 54
|style="color:#BFBFBF" align="right" | 81
|style="color:#BFBFBF" align="right" | 99
| align="right" | 22
|style="color:#BFBFBF" align="right" | 99
| align="right" | &nbsp;
|style="background-color:#D9D9D9;font-weight:bold" align="right" | 115,39%
|}

Version vom 14. Dezember 2019, 18:54 Uhr

Die Formel für den Marktwert lautet

[1 + (Opti / 100)] ^ 8,1 * [1 + (Skill / 100)] ^ 5,65 * [1 + (100 - Alter) / 49] ^ 10

Das Alter wird dabei ZAT-genau berücksichtigt, einen ZAT vor dem 25. Geburtstag also z.B. mit 24 + (71 / 72) = 24,986.

Dazu bekommt man dann jeweils einen Zuschlag von +2,5% für jeden der Sonderskills (s. Torinstinkt, Elfmeterkiller etc.).


Ergänzt wird das ganze durch einen "Trainingsfaktor", der mit einem durchschnittlichen Bereich zwischen 97% und 103% (ein paar Spieler OS-weit sind Ausreißer, die sind aber so beabsichtigt) die Trainierbarkeit des Spielers , also die zukünftige mögliche Marktwertentwicklung bewertet.

Extrembeispiele zu Saison 15 ZAT 0 sind:

Sp_ID Name Alter Pos Skill Opti ABS
SCH
STS
BAK
FAN
KOB
STB
ZWK
SPL
DEC
REF
GES
FUQ ERF AGG PAS AUS UEB WID SEL DIS ZUV EIN S_Skill Trainingsfaktor
120919 Gunnar Klüft 20,08 TOR 42,82 72,30 28 32 77 77 76 76 0 8 29 35 33 36 24 23 81 32 61 E 94,95%
121108 Edivaldo Hurst 19,00 ABW 44,76 74,26 23 26 77 78 78 28 0 14 27 27 22 25 45 75 49 78 89   94,65%
118775 Edy Bauer 19,17 DMI 35,24 67,37 24 77 23 23 77 22 0 12 22 75 24 76 39 29 2 26 48 S 94,87%
125082 Michel Emden 19,83 MIT 40,29 68,19 27 72 25 72 28 29 0 8 29 72 34 73 60 46 77 30 3   94,84%
129569 Tom Van Haver 18,75 OMI 35,24 57,74 20 59 28 24 21 60 0 5 19 61 29 60 77 17 16 28 75   94,81%
125919 Nikica Krizanic 19,00 STU 41,18 63,85 65 33 64 63 32 64 0 5 29 36 32 37 6 90 72 30 42   94,83%
45300 Pino Zoff 31,67 TOR 64,35 94,00 44 80 90 91 90 90 12 99 33 41 53 49 61 72 97 69 23 E 100,02%
59359 Donald Makolm 30,00 ABW 66,47 94,00 31 65 85 90 90 70 11 99 73 65 65 69 79 35 98 87 18   99,97%
43399 Mile Kis 31,17 DMI 67,24 92,85 46 85 53 82 85 76 36 99 47 85 57 86 88 91 52 50 25 LSG 99,98%
74935 Steffen Max 28,83 MIT 71,47 97,59 64 85 61 90 28 67 99 99 37 90 64 90 40 94 95 61 51 S 100,01%
75326 Alejandro Arria 28,25 OMI 67,65 92,96 75 85 45 80 45 85 0 99 46 85 46 85 46 80 99 63 86 SFG 100,03%
55041 Hinga King 31,92 STU 69,35 94,04 85 85 85 85 50 85 58 99 51 55 75 75 3 85 48 67 88 FT 99,99%
103209 Bittor Galvez Lopez 22,42 TOR 41,35 69,00 17 19 90 26 89 85 0 25 17 21 18 22 84 82 12 24 72 E 115,76%
126049 Muhammed Akif 19,00 ABW 46,24 77,85 46 38 60 99 80 30 0 6 37 48 40 26 60 97 0 90 29   115,33%
116058 Lambert Vibert 21,33 DMI 45,59 69,44 27 69 32 22 29 69 0 14 32 87 34 90 54 44 53 34 85   115,09%
116994 Carsten Herrschaft 21,83 MIT 51,76 79,11 37 90 48 34 70 67 0 19 47 99 50 91 64 51 11 32 70 S 119,06%
111037 Samet Tokgöz 22,25 OMI 46,29 74,78 37 88 39 89 45 40 0 37 49 84 29 96 2 76 1 33 42 S 116,17%
106120 Florian Heideck 23,00 STU 63,82 83,44 85 71 32 84 27 91 73 50 29 75 29 84 54 81 99 22 99   115,39%