Frustrated yet again by another FADUCO scheduler screw-job, I went ahead and did a historical study of the Asian division since 2001. I got the average differential between the W-L record ranking and points / breakdown rankings of each Asian owner. Since CBS Sports has Power Rankings data from back in 2001, I have 9 and a half seasons worth of sample data for each Asian owner. In theory, over time, the difference between your win-loss ranking and your points or breakdown ranking should be close to zero.
In theory. The result: Katy's Win-Loss rankings are 1.75 better on average than her points and 1.15 better than her breakdown rankings should be. So yeah, just as many suspect, Katy is damn lucky. This is now backed up by hard data. Hai and Tuna are pretty close to zero, so their win-loss records properly reflect their points or breakdown. Donny's teams deserved about a half ranking better more than his actual win-loss ranking. As for me, it's worse than the opposite of Katy. I got a -1.75 and -1.8 differential in rankings. Essentially, I've been screwed by the scheduling gods by about a net of two games each year. FU Fantasy Gods!!!!
Full results below:
In theory. The result: Katy's Win-Loss rankings are 1.75 better on average than her points and 1.15 better than her breakdown rankings should be. So yeah, just as many suspect, Katy is damn lucky. This is now backed up by hard data. Hai and Tuna are pretty close to zero, so their win-loss records properly reflect their points or breakdown. Donny's teams deserved about a half ranking better more than his actual win-loss ranking. As for me, it's worse than the opposite of Katy. I got a -1.75 and -1.8 differential in rankings. Essentially, I've been screwed by the scheduling gods by about a net of two games each year. FU Fantasy Gods!!!!
Full results below:
| Record | Points | Breakdown | Difference between Record and Points | Difference between Record and Breakdown | |||
| Katy | 2001 | 6.5 | 4 | 4 | 2.5 | 2.5 | |
| 2002 | 2.5 | 2 | 2 | 0.5 | 0.5 | ||
| 2003 | 1 | 1 | 2 | 0 | -1 | ||
| 2004 | 10 | 10 | 10 | 0 | 0 | ||
| 2005 | 2 | 2 | 2 | 0 | 0 | ||
| 2006 | 8.5 | 4 | 6 | 4.5 | 2.5 | ||
| 2007 | 4.5 | 2 | 2 | 2.5 | 2.5 | ||
| 2008 | 6 | 6 | 6.5 | 0 | -0.5 | ||
| 2009 | 7.5 | 5 | 5 | 2.5 | 2.5 | ||
| 2010 | 7 | 2 | 4.5 | 5 | 2.5 | ||
| Average | 5.55 | 3.80 | 4.40 | 1.75 | 1.15 | ||
| Donny | 2001 | 10 | 9 | 9 | 1 | 1 | |
| 2002 | 6.5 | 8 | 9 | -1.5 | -2.5 | ||
| 2003 | 9 | 8 | 8 | 1 | 1 | ||
| 2004 | 3 | 5.5 | 6 | -2.5 | -3 | ||
| 2005 | 1 | 1 | 1 | 0 | 0 | ||
| 2006 | 6.5 | 8 | 8 | -1.5 | -1.5 | ||
| 2007 | 3 | 3 | 4 | 0 | -1 | ||
| 2008 | 4 | 7 | 6.5 | -3 | -2.5 | ||
| 2009 | 1 | 2 | 2 | -1 | -1 | ||
| 2010 | 5.5 | 3 | 2 | 2.5 | 3.5 | ||
| Average | 4.95 | 5.45 | 5.55 | -0.50 | -0.60 | ||
| Victor | 2001 | 2 | 3 | 2.5 | -1 | -0.5 | |
| 2002 | 1 | 1 | 1 | 0 | 0 | ||
| 2003 | 7 | 10 | 10 | -3 | -3 | ||
| 2004 | 9 | 8 | 8 | 1 | 1 | ||
| 2005 | 4.5 | 9 | 8 | -4.5 | -3.5 | ||
| 2006 | 10 | 9 | 8 | 1 | 2 | ||
| 2007 | 8 | 7 | 9 | 1 | -1 | ||
| 2008 | 6 | 8 | 9 | -2 | -3 | ||
| 2009 | 3 | 7 | 7 | -4 | -4 | ||
| 2010 | 1 | 7 | 7 | -6 | -6 | ||
| Average | 5.15 | 6.90 | 6.95 | -1.75 | -1.80 | ||
| Hai | 2001 | 4.5 | 6 | 6.5 | -1.5 | -2 | |
| 2002 | 8.5 | 10 | 8 | -1.5 | 0.5 | ||
| 2003 | 5.5 | 4 | 4 | 1.5 | 1.5 | ||
| 2004 | 1 | 2 | 3 | -1 | -2 | ||
| 2005 | 4.5 | 4 | 5 | 0.5 | -0.5 | ||
| 2006 | 3 | 6 | 6 | -3 | -3 | ||
| 2007 | 4.5 | 4 | 3 | 0.5 | 1.5 | ||
| 2008 | 9 | 4 | 5 | 5 | 4 | ||
| 2009 | 5 | 3 | 3 | 2 | 2 | ||
| 2010 | 8.5 | 9 | 9 | -0.5 | -0.5 | ||
| Average | 5.40 | 5.20 | 5.25 | 0.20 | 0.15 |
| Tuna | 2001 | 6.5 | 7 | 6.5 | -0.5 | 0 | |
| 2002 | 6.5 | 6 | 6 | 0.5 | 0.5 | ||
| 2003 | 2.5 | 5 | 5 | -2.5 | -2.5 | ||
| 2004 | 5 | 7 | 7 | -2 | -2 | ||
| 2005 | 7.5 | 7 | 7 | 0.5 | 0.5 | ||
| 2006 | 5 | 2 | 4 | 3 | 1 | ||
| 2007 | 10 | 10 | 10 | 0 | 0 | ||
| 2008 | 1 | 2 | 1 | -1 | 0 | ||
| 2009 | 6 | 6 | 6 | 0 | 0 | ||
| 2010 | 5.5 | 6 | 6 | -0.5 | -0.5 | ||
| Average | 5.55 | 5.80 | 5.85 | -0.25 | -0.30 |
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