You know...I started looking at some of their data, and I think that it really speaks to the strength of our recruiting class that the model got so many of our commits wrong. This means that the staff basically had to go against prevailing tendencies to get some of these kids. I know that there are some special situations like Eric Berry that the model didn't take into account (familial connections - which I think that it should). Here are some numbers though. The "right" means that the model predicted the recruit would go to that school and the recruit did. The "wrong" means that the model predicted that the recruit would go to another school but the recruit in fact came to this school.
Florida: 9 right, 1 wrong -- 90% right
Georgia: 3 right, 0 wrong -- 100% right
S. Carolina: 4 right, 1 wrong -- 80% right
LSU: 5 right, 2 wrong -- 71% right
USC West: 7 right, 3 wrong -- 70% right
Cal: 1 right, 0 wrong -- 100% right
Notre Dame: 4 right, 3 wrong -- 57% right
Tennessee: 1 right, 4 wrong -- 20% right
I find that interesting. It would be even more interesting to examine it over a number of years. But, alone, it makes me feel good about our recruiting efforts (granted, this was a great class - that's why I would like to look at other years).
