Each table starts with a table tag. Each table row starts with a tr tag. Each table data starts with a td tag.
Tag | Country | State | City | Id | Pts1 | Time1 | B1 | Pts2 | Time2 | B2 | Pts3 | Time3 | B3 | Pts4 | Time4 | B4 | Points | Time | Finish |
Tim | United Kingdom | London | me | 63 | 92 | 0 | 18 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 106 | 0 | |
jay | Mexico | mexico | me | 58 | 155 | 0 | 9 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 161 | 0 | |
Gamer1 | Australia | Sydney | me | 58 | 31 | 1 | -15 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 34 | 0 | |
Ray | Canada | Toronto | me | 51 | 106 | 0 | -15 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 110 | 0 | |
Ab | Belgium | Brussels | me | 53 | 18 | 1 | -19 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 28 | 0 | |
Ab | Belgium | Brussels | me | 44 | 35 | 1 | -15 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 40 | 0 | |
HiFly | Japan | Tokyo | me | 25 | 95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 95 | 0 | |
Prakesh | India | Mumbai | me | 5 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 40 | 0 | |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Each table starts with a table tag. Each table row starts with a tr tag. Each table data starts with a td tag.
Tag | Country | State | City | Id | Pts1 | Time1 | B1 | Pts2 | Time2 | B2 | Pts3 | Time3 | B3 | Pts4 | Time4 | B4 | Points | Time | Finish |
Ray | Canada | Toronto | me | 23 | 86 | 0 | 57 | 315 | 0 | 62 | 281 | 0 | 75 | 302 | 0 | 217 | 985 | 217 | |
jay | Mexico | mexico | me | 37 | 121 | 0 | 58 | 178 | 0 | 53 | 308 | 0 | 29 | 145 | 0 | 177 | 754 | 0 | |
jay | Mexico | mexico | me | 34 | 96 | 0 | 77 | 199 | 0 | 58 | 331 | 0 | 7 | 133 | 0 | 176 | 761 | 0 | |
abby | Australia | Sydney | me | 24 | 35 | 0 | 52 | 229 | 0 | 86 | 169 | 0 | -10 | 22 | 0 | 152 | 457 | 0 | |
Anne | Spain | Madrid | me | 20 | 72 | 0 | 32 | 146 | 0 | 63 | 277 | 0 | 15 | 72 | 0 | 130 | 569 | 0 | |
jean | France | Nice | me | 26 | 47 | 0 | 88 | 189 | 0 | 11 | 6 | 0 | 0 | 0 | 0 | 125 | 242 | 0 | |
Ritch | Brazil | Rio | me | 52 | 73 | 0 | 23 | 214 | 0 | -3 | 25 | 0 | 0 | 0 | 0 | 72 | 313 | 0 | |
Alan | United Kingdom | London | me | 17 | 47 | 0 | 42 | 117 | 0 | 6 | 50 | 0 | 0 | 0 | 0 | 65 | 214 | 0 | |
Prakesh | India | Mumbai | me | 27 | 16 | 1 | 25 | 67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 84 | 0 | |
Topdog | United States | California | Los Angeles | me | 27 | 68 | 0 | 11 | 185 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 253 | 0 |
Peter | Russia | Moscow | me | 31 | 20 | 1 | 6 | 36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 56 | 0 | |
Jim1 | United States | Texas | Austin | me | 27 | 21 | 1 | 6 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 61 | 0 |
Cap | Germany | Hamburg | me | 29 | 23 | 1 | 4 | 33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 57 | 0 | |
Karl1 | Sweden | Stockhokm | me | 27 | 21 | 1 | 4 | 58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 79 | 0 | |
Copter1 | Canada | Ontario | me | 22 | 30 | 0 | -11 | 28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 58 | 0 | |
OJB | United Kingdom | York | me | 2 | 248 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 248 | 0 | |
LAB | United Kingdom | Liverpool | me | -7 | 205 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -7 | 205 | 0 |