Team-by-team analysis of foul points on Win/Loss/Tie
based on Qual & Elim matches from Twitter data Sun 16 Mar 2014 16:44:46
Top "beneficiaries":
Code:
Team wil wit liw lit til tiw WLTnet
4500 6 12
1801 5 10
4779 4 1 9
56 4 8
453 5 1 8
470 4 8
701 5 1 8
1159 4 8
2388 4 8
3070 4 8
3245 4 8
4089 4 8
5065 3 1 7
171 3 6
537 3 6
900 4 1 6
919 4 1 6
1287 4 1 6
2411 3 6
2550 3 6
2811 3 6
3236 3 6
3562 3 6
3619 3 6
4048 3 6
4061 3 6
4114 3 6
4153 4 1 6
4216 3 6
4320 3 6
4375 3 6
4511 3 6
4690 3 6
4970 3 6
5149 3 6
5290 3 6
Top "victims":
Code:
Team wil wit liw lit til tiw WLTnet
245 5 -10
399 5 -10
4776 4 1 1 -10
599 4 1 -9
910 1 5 -9
360 4 -8
488 1 5 -8
1208 4 -8
4654 4 -8
4784 4 -8
5273 4 -8
1094 1 4 1 -7
1806 1 4 1 -7
2642 3 1 -7
116 3 -6
126 1 3 2 -6
144 3 -6
192 3 -6
219 3 -6
435 3 -6
494 3 -6
854 3 -6
955 1 4 -6
1164 3 -6
1302 2 5 -6
1318 3 -6
1477 3 -6
1619 3 -6
1714 3 -6
2073 1 4 -6
2994 3 -6
3063 3 -6
3250 3 -6
3936 1 4 -6
4090 3 -6
4206 3 -6
4245 3 -6
4683 3 -6
4794 3 -6
4815 3 -6
5159 3 -6
5215 3 -6
5252 3 -6
Complete list attached.
The usual Twitter data caveats apply.