@markr,
markr wrote:My first pass was to manually pick the teams that BS predicted would outperform the costs. That team looked a lot like yours, so I figured you were taking the same approach. I then created an optimal (with respect to our costs) team (#bs) that assumed that BS got it completely right - again, similar to yours. Then, I found the AP predictions and figured the folks that cover this stuff year-round probably know what they're talking about, so I created an optimal team (#ap) based on a blending of their predictions. I didn't expect #gn (Gracenote) to do well since it is the optimal team based on predictions from April.
I've never heard of Best Sports. I didn't know that AP was predicting winners. I knew about Gracenote only because it was linked earlier in this thread. (I'm not much of a sports person.)
I looked Gracenote over and their arguments seemed sound enough to me where they explained them, so I based nearly all of my picks on what Gracenote predicted to outperform the costs. The only exception was the .05 team Tunisia.
So if you want to see how Gracenote ends up doing, just look at my team (or my team minus Tunisia).
