Coach: Assistants: TI: Stamina:
Tr.Type
7 Coach factor: 9 As. Factor: 99 TI Factor 15 St. Factor Total: Defense
base speed
1.000 Age factor 1.008 Sk.Factor Skill/Age 1.010 0.04 2 1.176 0.36 3 1.198 0.57 4 0.73 5 0.85 6 6.1 0.95 7 1.04 8 1.12 9 1.19 10 1.25 11 1.31 12 1.36 1.41 1.45
Set column E and F data: Set current week -->
Week
player's Age (Years on Thursday)--> player's Age (days on Thursday)-->
Hofstetter
player's skill--> Bottino
Ulf S
x
Def. Positions Defense Keeper Playmaking Scoring Shooting Short Pass. Thr. Passes Wing Attack Winger levels 1 2 3 4 5 6 7 8 9
12.2 6.1 3.7 5.5 5.2 8.7 4.5 5.3 6.3 3.8
Semislot
Pavani
Semislot
x
Semislot
x
Semislot
x
13 14 15
9
1.00 17 0.3 2.6 4.2 5.3 6.2 7.0 7.6 8.2 8.7 9.2 9.6
1.04 18 0.3 2.7 4.3 5.5 6.5 7.3 7.9 8.5 9.0 9.5 9.9
1.08 19 0.3 2.8 4.5 5.7 6.7 7.5 8.2 8.9 9.4 9.9 10.3
1.12 20 0.4 3.0 4.7 6.0 7.0 7.8 8.6 9.2 9.8 10.3 10.8
1.17 21 0.4 3.1 4.9 6.2 7.3 8.2 8.9 9.6 10.2 10.7 11.2
1.22 22 0.4 3.2 5.1 6.5 7.6 8.5 9.3 10.0 10.6 11.1 11.6
1.27 23 0.4 3.3 5.3 6.7 7.9 8.8 9.6 10.4 11.0 11.6 12.1
1.32 24 0.4 3.5 5.5 7.0 8.2 9.2 10.0 10.8 11.4 12.0 12.6
1.37 25 0.4 3.6 5.7 7.3 8.5 9.5 10.4 11.2 11.9 12.5 13.1
1.42 26 0.4 3.7 5.9 7.5 8.8 9.9 10.8 11.7 12.4 13.0 13.6
1.48 27 0.5 3.9 6.2 7.8 9.2 10.3 11.3 12.1 12.9 13.5 14.2
1.54 28 0.5 4.1 6.4 8.2 9.6 10.7 11.7 12.6 13.4 14.1 14.7
9.9 10.3 10.6
10.3 10.7 11.0
10.8 11.1 11.5
11.2 11.6 11.9
11.6 12.0 12.4
12.1 12.5 12.9
12.6 13.0 13.4
13.1 13.5 14.0
13.6 14.1 14.5
14.2 14.6 15.1
14.7 15.2 15.7
15.3 15.8 16.3
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3
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5
17 17 17 7 14 21 6.90 7.04 7.17 17 17 17 18 25 32 6.90 7.04 7.17 17 17 17 63 70 77 6.80 6.94 7.09 0 0 7 14 -0.42 -0.83 0 0 7 14 -0.42 -0.83 0 0 7 14 -0.42 -0.83 17 17 17 63 70 77 6.50 6.57 6.64 0 0 7 14 -0.21 -0.42 0 0 7 14 -0.21 -0.42 0 0 7 14 -0.21 -0.42
trainerFactor = 1 + (7-TRAINERSKILL) * 0.1 coFactor = 1 + (log10(11) - log10 (COTRAINER+1)) * 0 tiFactor = 100/TI ssFactor = 1 / (1 - STAMINASHARE/100) ageFactor = (1.04)^(AGE-17) skillFactor = 1 + log10 ((SKILL-0.5)/7) / log10(5) trainingLength = baseLength * ageFactor * skillFactor
Formulas by Flattermann (1155911) Excel coding by oleh_deneb (984543) Prognosis for Players with skill<=14 and age<=27 tes
http://victrixlegio.altervista.org/newtraining
Prognosis for players with skill>14 and age >27 may b
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17 17 17 17 17 17 17 17 17 17 17 17 18 18 18 28 35 42 49 56 63 70 77 84 91 98 105 0 7 14 7.31 7.44 7.57 7.70 7.83 7.96 8.09 8.22 8.34 8.46 8.58 8.70 8.82 8.94 9.06 17 17 17 17 17 17 17 17 17 17 17 18 18 18 18 39 46 53 60 67 74 81 88 95 102 109 4 11 18 25 7.31 7.44 7.57 7.70 7.83 7.96 8.09 8.22 8.34 8.46 8.58 8.70 8.82 8.93 9.05 17 17 17 17 18 18 18 18 18 18 18 18 18 18 18 84 91 98 105 0 7 14 21 28 35 42 49 56 63 70 7.22 7.35 7.48 7.61 7.74 7.86 7.99 8.12 8.23 8.35 8.47 8.59 8.70 8.82 8.94 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 -1.25 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 -1.25 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 -1.25 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 17 17 17 17 18 18 18 18 18 18 18 18 18 18 18 84 91 98 105 0 7 14 21 28 35 42 49 56 63 70 6.72 6.79 6.86 6.93 7.00 7.07 7.13 7.19 7.26 7.32 7.38 7.45 7.51 7.57 7.64 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 -0.62 -0.83 -1.04 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 -0.62 -0.83 -1.04 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 -0.62 -0.83 -1.04 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502
Factor = 1 + (7-TRAINERSKILL) * 0.1 or = 1 + (log10(11) - log10 (COTRAINER+1)) * 0.2
or = 1 / (1 - STAMINASHARE/100) ctor = (1.04)^(AGE-17) ctor = 1 + log10 ((SKILL-0.5)/7) / log10(5) gLength = baseLength * ageFactor * skillFactor * trainerFactor * coFactor * tiFactor * ssFactor
as by Flattermann (1155911) oding by oleh_deneb (984543) sis for Players with skill<=14 and age<=27 tested using this data:
/victrixlegio.altervista.org/newtrainingdb.php
sis for players with skill>14 and age >27 may be incorrect
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13
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5
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7
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11
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1
2
3
18 18 18 18 18 18 18 18 18 18 18 18 18 19 19 19 19 19 19 19 19 19 19 19 19 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 14 21 28 35 42 49 56 63 70 77 9.17 9.28 9.39 9.50 9.61 9.72 9.83 9.94 10.05 10.16 10.26 10.37 10.47 10.57 10.67 10.77 10.88 10.98 11.08 11.17 11.27 11.37 11.46 11.56 11.66 18 18 18 18 18 18 18 18 18 18 18 18 19 19 19 19 19 19 19 19 19 19 19 19 19 32 39 46 53 60 67 74 81 88 95 102 109 4 11 18 25 32 39 46 53 60 67 74 81 88 9.16 9.27 9.38 9.49 9.60 9.71 9.82 9.94 10.05 10.15 10.26 10.36 10.46 10.56 10.66 10.77 10.87 10.97 11.07 11.17 11.26 11.36 11.46 11.55 11.65 18 18 18 18 18 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 20 20 20 20 77 84 91 98 105 0 7 14 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 14 21 9.17 9.28 9.39 9.50 9.60 9.71 9.82 9.92 10.03 10.13 10.23 10.33 10.43 10.53 10.64 10.74 10.84 10.94 11.04 11.14 11.23 11.32 11.42 11.51 9.06 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 14 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 14 21 28 35 42 49 56 63 70 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 14 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 14 21 28 35 42 49 56 63 70 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 14 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 14 21 28 35 42 49 56 63 70 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 18 18 18 18 18 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 20 20 20 20 77 84 91 98 105 0 7 14 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 14 21 7.70 7.76 7.83 7.89 7.95 8.01 8.07 8.12 8.18 8.24 8.29 8.35 8.41 8.46 8.52 8.58 8.63 8.69 8.75 8.80 8.86 8.91 8.97 9.02 9.07 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 14 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 14 21 28 35 42 49 56 63 70 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 14 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 14 21 28 35 42 49 56 63 70 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 14 21 28 35 42 49 56 63 70 77 84 91 98 105 0 7 14 21 28 35 42 49 56 63 70 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502 Err:502