Bad Girls, Gottlieb 1988
| # |
TAG |
Tulos |
| 1. |
MAT |
3,629,110 |
| 2. |
EVA |
3,577,440 |
| 3. |
MTK |
3,528,800 |
| 4. |
LPH |
3,216,090 |
| 5. |
ANI |
2,922,340 |
| 6. |
JTU |
2,920,950 |
| 7. |
HCJ |
2,825,690 |
| 8. |
TRM |
2,750,000 |
| 9. |
MDK |
2,732,880 |
| 10. |
ELX |
2,704,060 |
| 11. |
SIR |
2,450,080 |
| 12. |
VJM |
2,415,450 |
| 13. |
JMR |
2,408,690 |
| 14. |
WIM |
2,390,070 |
| 15. |
JHQ |
2,307,500 |
| 16. |
BOB |
2,131,090 |
| 17. |
THC |
2,093,430 |
| 18. |
JMT |
2,007,880 |
| 19. |
MVJ |
1,896,520 |
| 20. |
TPT |
1,715,440 |
| 21. |
JVS |
1,652,070 |
| 22. |
SQG |
1,632,690 |
| 23. |
PLO |
1,626,490 |
| 24. |
ZEP |
1,593,640 |
| 25. |
MPI |
1,552,010 |
| 26. |
TRB |
1,508,200 |
| 27. |
JEL |
1,394,180 |
| 28. |
TLC |
1,308,750 |
| 29. |
JTH |
1,189,980 |
| 30. |
BR1 |
1,160,570 |
| 31. |
AKI |
1,127,710 |
| 32. |
ALE |
1,093,630 |
| 33. |
WM |
1,067,010 |
| 34. |
WSO |
1,007,050 |
| 35. |
ALP |
978,740 |
| 36. |
JPM |
949,020 |
| 37. |
JPH |
938,060 |
| 38. |
KTA |
904,250 |
| 39. |
DEM |
826,430 |
| 40. |
STN |
818,850 |
| 41. |
ICE |
814,220 |
| 42. |
KYR |
787,700 |
| 43. |
TOP |
744,260 |
| 44. |
JOE |
743,940 |
| 45. |
L V |
743,540 |
| 46. |
KPA |
733,780 |
| 47. |
MPE |
725,360 |
| 48. |
PIC |
720,420 |
| 49. |
KGB |
709,530 |
| 50. |
KOL |
705,720 |
| 51. |
TMU |
702,900 |
| 52. |
MMA |
670,360 |
| 53. |
TOM |
659,800 |
| 54. |
TJS |
658,800 |
| 55. |
TEP |
658,720 |
| 56. |
AVE |
650,450 |
| 57. |
TUU |
646,250 |
| 58. |
VKA |
626,200 |
| 59. |
HJH |
617,470 |
| 60. |
SMA |
605,960 |
| 61. |
MKY |
538,440 |
| 62. |
VPK |
461,070 |
| 63. |
JPP |
441,890 |
| 64. |
ANA |
419,980 |
| 65. |
MAJ |
345,350 |
| 66. |
LRI |
309,070 |
| 67. |
MO1 |
293,080 |
| 68. |
TOI |
255,080 |
| 69. |
MEG |
214,000 |
| 70. |
VIP |
157,450 |