Temp GP

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(Re-doing the "slimline" 1-70 GP tables)
(Now with fixed table headers, so that the PP column is headed by PP, ahd the SP one by SP)
Line 3: Line 3:
== The tables ==
== The tables ==
{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| -2 || -100 || ''illeg.'' || ''illeg.'' || N/A
| -2 || -100 || ''illeg.'' || ''illeg.'' || N/A
Line 32: Line 32:
{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 10 || 10 || 100 || 10'000 || 6Y
| 10 || 10 || 100 || 10'000 || 6Y
Line 61: Line 61:
{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 22 || 22 || 220 || 22'000 || 6Y
| 22 || 22 || 220 || 22'000 || 6Y
Line 90: Line 90:
{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 34 || 46 || 584 || 58'414 || 6Y
| 34 || 46 || 584 || 58'414 || 6Y
Line 119: Line 119:
{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 46 || 84 || 1'341 || 134'133 || 23Y
| 46 || 84 || 1'341 || 134'133 || 23Y
Line 148: Line 148:
{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 58 || 134 || 2'537 || 253'735 || 43Y
| 58 || 134 || 2'537 || 253'735 || 43Y
Line 177: Line 177:
{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 70 || 196 || 4'255 || 425'572 || 71Y
| 70 || 196 || 4'255 || 425'572 || 71Y
Line 206: Line 206:
{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 82 || 268 || 6'575 || 657'569 || 110Y
| 82 || 268 || 6'575 || 657'569 || 110Y
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{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 94 || 353 || 9'573 || 957'316 || 160Y
| 94 || 353 || 9'573 || 957'316 || 160Y
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{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 106 || 449 || 13'321 || 1'332'124 || 223Y
| 106 || 449 || 13'321 || 1'332'124 || 223Y
Line 293: Line 293:
{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 118 || 556 || 17'890 || 1'789'077 || 299Y
| 118 || 556 || 17'890 || 1'789'077 || 299Y
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{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 130 || 676 || 23'350 || 2'335'059 || 390Y
| 130 || 676 || 23'350 || 2'335'059 || 390Y
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{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 142 || 806 || 29'767 || 2'976'779 || 497Y
| 142 || 806 || 29'767 || 2'976'779 || 497Y
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{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 154 || 948 || 37'207 || 3'720'794 || 621Y
| 154 || 948 || 37'207 || 3'720'794 || 621Y
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{| style="margin: 3px 3px 4px 4px;" align="left"
{| style="margin: 3px 3px 4px 4px;" align="left"
-
! GP !! DP !! SP !! PP !! Age
+
! GP !! DP !! PP !! SP !! Age
|-
|-
| 166 || 1'102 || 45'735 || 4'573'524 || 763Y
| 166 || 1'102 || 45'735 || 4'573'524 || 763Y
Line 440: Line 440:
== 2nd set of tables ==
== 2nd set of tables ==
{| style="margin: 2px 2px 2px 2px;" align="left"
{| style="margin: 2px 2px 2px 2px;" align="left"
-
! GP !! DP !! SP !! PP
+
! GP !! DP !! PP !! SP
|-
|-
| 1 || 1 || 10 || 1k
| 1 || 1 || 10 || 1k
Line 473: Line 473:
{| style="margin: 2px 2px 2px 2px;" align="left"
{| style="margin: 2px 2px 2px 2px;" align="left"
-
! GP !! DP !! SP !! ~PP
+
! GP !! DP !! PP !! ~SP
|-
|-
| 15 || 15 || 150 || 15k
| 15 || 15 || 150 || 15k
Line 506: Line 506:
{| style="margin: 2px 2px 2px 2px;" align="left"
{| style="margin: 2px 2px 2px 2px;" align="left"
-
! GP !! DP !! SP !! ~PP
+
! GP !! DP !! PP !! ~SP
|-
|-
| 29 || 33 || 377 || 37k
| 29 || 33 || 377 || 37k
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{| style="margin: 2px 2px 2px 2px;" align="left"
{| style="margin: 2px 2px 2px 2px;" align="left"
-
! GP !! DP !! SP !! ~PP
+
! GP !! DP !! PP !! ~SP
|-
|-
| 43 || 73 || 1'114 || 111k
| 43 || 73 || 1'114 || 111k
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{| style="margin: 2px 2px 2px 2px;" align="left"
{| style="margin: 2px 2px 2px 2px;" align="left"
-
! GP !! DP !! SP !! ~PP
+
! GP !! DP !! PP !! ~SP
|-
|-
| 57 || 129 || 2'418 || 241k
| 57 || 129 || 2'418 || 241k

Revision as of 15:15, 26 March 2011

This is a temporary article to host the GP formula result tables, until they can be moved to more appropriate places.

The tables

GP DP PP SP Age
-2 -100 illeg. illeg. N/A
-1 -20 -100 illeg. N/A
0 0 0 illeg. N/A
1 1 10 1'000 6Y
2 2 20 2'000 6Y
3 3 30 3'000 6Y
4 4 40 4'000 6Y
5 5 50 5'000 6Y
6 6 60 6'000 6Y
7 7 70 7'000 6Y
8 8 80 8'000 6Y
9 9 90 9'000 6Y
GP DP PP SP Age
10 10 100 10'000 6Y
11 11 110 11'000 6Y
12 12 120 12'000 6Y
13 13 130 13'000 6Y
14 14 140 14'000 6Y
15 15 150 15'000 6Y
16 16 160 16'000 6Y
17 17 170 17'000 6Y
18 18 180 18'000 6Y
19 19 190 19'000 6Y
20 20 200 20'000 6Y
21 21 210 21'000 6Y
GP DP PP SP Age
22 22 220 22'000 6Y
23 23 230 23'000 6Y
24 24 240 24'000 6Y
25 25 250 25'077 6Y
26 27 279 27'933 6Y
27 29 309 30'988 6Y
28 31 342 34'248 6Y
29 33 377 37'717 6Y
30 36 414 41'403 6Y
31 38 453 45'310 6Y
32 40 494 49'444 6Y
33 43 538 53'810 6Y
GP DP PP SP Age
34 46 584 58'414 6Y
35 49 632 63'261 6Y
36 51 683 68'357 6Y
37 54 737 73'706 6Y
38 57 793 79'315 6Y
39 60 851 85'188 6Y
40 64 913 91'331 16Y
41 67 977 97'748 17Y
42 70 1'044 104'445 18Y
43 73 1'114 111'427 19Y
44 77 1'186 118'699 20Y
45 81 1'262 126'266 22Y
GP DP PP SP Age
46 84 1'341 134'133 23Y
47 88 1'423 142'305 24Y
48 92 1'507 150'788 26Y
49 96 1'595 159'585 27Y
50 100 1'687 168'702 29Y
51 104 1'781 178'144 30Y
52 108 1'879 187'915 32Y
53 112 1'980 198'021 34Y
54 116 2'084 208'466 35Y
55 121 2'192 219'255 37Y
56 125 2'303 230'393 39Y
57 129 2'418 241'885 41Y
GP DP PP SP Age
58 134 2'537 253'735 43Y
59 139 2'659 265'948 45Y
60 144 2'785 278'528 47Y
61 148 2'914 291'481 49Y
62 153 3'048 304'811 51Y
63 158 3'185 318'522 54Y
64 163 3'326 332'620 56Y
65 169 3'471 347'108 58Y
66 174 3'619 361'992 61Y
67 179 3'772 377'276 63Y
68 184 3'929 392'964 66Y
69 190 4'090 409'061 69Y
GP DP PP SP Age
70 196 4'255 425'572 71Y
71 201 4'425 442'500 74Y
72 207 4'598 459'852 77Y
73 213 4'776 477'630 80Y
74 219 4'958 495'839 83Y
75 225 5'144 514'484 86Y
76 231 5'335 533'569 89Y
77 237 5'530 553'099 93Y
78 243 5'730 573'078 96Y
79 249 5'935 593'510 99Y
80 256 6'144 614'400 103Y
81 262 6'357 635'751 106Y
GP DP PP SP Age
82 268 6'575 657'569 110Y
83 275 6'798 679'858 114Y
84 282 7'026 702'622 118Y
85 289 7'258 725'864 121Y
86 295 7'495 749'591 125Y
87 302 7'738 773'805 129Y
88 309 7'985 798'511 134Y
89 316 8'237 823'713 138Y
90 324 8'494 849'416 142Y
91 331 8'756 875'623 146Y
92 338 9'023 902'340 151Y
93 345 9'295 929'569 155Y
GP DP PP SP Age
94 353 9'573 957'316 160Y
95 361 9'855 985'584 165Y
96 368 10'143 1'014'377 170Y
97 376 10'437 1'043'700 174Y
98 384 10'735 1'073'557 179Y
99 392 11'039 1'103'952 184Y
100 400 11'348 1'134'889 190Y
101 408 11'663 1'166'373 195Y
102 416 11'984 1'198'406 200Y
103 424 12'309 1'230'994 206Y
104 432 12'641 1'264'140 211Y
105 441 12'978 1'297'849 217Y
GP DP PP SP Age
106 449 13'321 1'332'124 223Y
107 457 13'669 1'366'970 228Y
108 466 14'023 1'402'390 234Y
109 475 14'383 1'438'389 240Y
110 484 14'749 1'474'971 246Y
111 492 15'121 1'512'139 253Y
112 501 15'498 1'549'898 259Y
113 510 15'882 1'588'252 265Y
114 519 16'272 1'627'204 272Y
115 529 16'667 1'666'758 278Y
116 538 17'069 1'706'920 285Y
117 547 17'476 1'747'691 292Y
GP DP PP SP Age
118 556 17'890 1'789'077 299Y
119 566 18'310 1'831'082 306Y
120 576 18'737 1'873'709 313Y
121 585 19'169 1'916'962 320Y
122 595 19'608 1'960'845 327Y
123 605 20'053 2'005'362 335Y
124 615 20'505 2'050'517 342Y
125 625 20'963 2'096'313 350Y
126 635 21'427 2'142'756 358Y
127 645 21'898 2'189'848 365Y
128 655 22'375 2'237'593 373Y
129 665 22'859 2'285'995 381Y
GP DP PP SP Age
130 676 23'350 2'335'059 390Y
131 686 23'847 2'384'788 398Y
132 696 24'351 2'435'185 406Y
133 707 24'862 2'486'255 415Y
134 718 25'380 2'538'001 424Y
135 729 25'904 2'590'428 432Y
136 739 26'435 2'643'539 441Y
137 750 26'973 2'697'337 450Y
138 761 27'518 2'751'827 459Y
139 772 28'070 2'807'013 468Y
140 784 28'628 2'862'897 478Y
141 795 29'194 2'919'485 487Y
GP DP PP SP Age
142 806 29'767 2'976'779 497Y
143 817 30'347 3'034'784 506Y
144 829 30'935 3'093'503 516Y
145 841 31'529 3'152'940 526Y
146 852 32'130 3'213'098 536Y
147 864 32'739 3'273'982 546Y
148 876 33'355 3'335'596 556Y
149 888 33'979 3'397'942 567Y
150 900 34'610 3'461'024 577Y
151 912 35'248 3'524'847 588Y
152 924 35'894 3'589'414 599Y
153 936 36'547 3'654'728 610Y
GP DP PP SP Age
154 948 37'207 3'720'794 621Y
155 961 37'876 3'787'615 632Y
156 973 38'551 3'855'195 643Y
157 985 39'235 3'923'537 654Y
158 998 39'926 3'992'645 666Y
159 1'011 40'625 4'062'523 678Y
160 1'024 41'331 4'133'174 689Y
161 1'036 42'046 4'204'602 701Y
162 1'049 42'768 4'276'810 713Y
163 1'062 43'498 4'349'803 725Y
164 1'075 44'235 4'423'584 738Y
165 1'089 44'981 4'498'156 750Y
GP DP PP SP Age
166 1'102 45'735 4'573'524 763Y
167 1'115 46'496 4'649'690 775Y
168 1'128 47'266 4'726'658 788Y
169 1'142 48'044 4'804'433 801Y
170 1'156 48'830 4'883'017 814Y
171 1'169 49'624 4'962'414 828Y
172 1'183 50'426 5'042'628 841Y
173 1'197 51'236 5'123'662 854Y
174 1'211 52'055 5'205'520 868Y
175 1'225 52'882 5'288'206 882Y
176 1'239 53'717 5'371'722 896Y
177 1'253 54'560 5'456'073 910Y


2nd set of tables

GP DP PP SP
1 1 10 1k
2 2 20 2k
3 3 30 3k
4 4 40 4k
5 5 50 5k
6 6 60 6k
7 7 70 7k
8 8 80 8k
9 9 90 9k
10 10 100 10k
11 11 110 11k
12 12 120 12k
13 13 130 13k
14 14 140 14k
GP DP PP ~SP
15 15 150 15k
16 16 160 16k
17 17 170 17k
18 18 180 18k
19 19 190 19k
20 20 200 20k
21 21 210 21k
22 22 220 22k
23 23 230 23k
24 24 240 24k
25 25 250 25k
26 27 279 27k
27 29 309 30k
28 31 342 34k
GP DP PP ~SP
29 33 377 37k
30 36 414 41k
31 38 453 45k
32 40 494 49k
33 43 538 53k
34 46 584 58k
35 49 632 63k
36 51 683 68k
37 54 737 73k
38 57 793 79k
39 60 851 85k
40 64 913 91k
41 67 977 97k
42 70 1'044 104k
GP DP PP ~SP
43 73 1'114 111k
44 77 1'186 118k
45 81 1'262 126k
46 84 1'341 134k
47 88 1'423 142k
48 92 1'507 150k
49 96 1'595 159k
50 100 1'687 168k
51 104 1'781 178k
52 108 1'879 187k
53 112 1'980 198k
54 116 2'084 208k
55 121 2'192 219k
56 125 2'303 230k
GP DP PP ~SP
57 129 2'418 241k
58 134 2'537 253k
59 139 2'659 265k
60 144 2'785 278k
61 148 2'914 291k
62 153 3'048 304k
63 158 3'185 318k
64 163 3'326 332k
65 169 3'471 347k
66 174 3'619 361k
67 179 3'772 377k
68 184 3'929 392k
69 190 4'090 409k
70 196 4'255 425k


The above tables use the same formula values, but the Minimum Age column is omitted, as well as the negative GP rows, there are 14 rows per table instead of 12, and in all but the first table the SP value is rounded down to nearest thousand (indicated by the ~ tilde sign in front of SP).

Remarks and Comments

Retrieved from "http://pop.sagataflwiki.net/index.php?title=Temp_GP"
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