I can't speak for any of the rest of the Ivy League, but at Cornell there is definitely a gap between recruited athletes and the general student body. Unfortunately, it's hard to sort out how much of that academic difference is real or just perceived; a fair number of people take themselves too seriously, and the notion that someone "only got in because they play sport X" makes athletes easy targets for your average, insecure Ivy-League nincompoop. The few football players I know, however, are all very serious about school. I would guess that the gap between ivy league athletes and and the general population is less significant than at a Michigan or an Iowa, for example, because the bar is already set higher to start with.
Another thing to consider is that Ivy League doesn't have tutor networks or a big academic support staff for their athletes, benefits which are made available to football players at a lot of BCS schools. That means that much of Ivy League athletics admissions is self-selective, i.e. kids don't go to schools if they don't think they can handle the pressure. That kind of expectation just doesn't exist to the same extent in the rest of D1.
These seem to me to be fairly large cultural differences, and I'm not sure a similar, AI-based model would work for the Big Ten.
the way this particular metric calculates SOS uses the likelyhood of going undefeated against the team's schedule. michigan's schedule is much weaker than expected this year because of the down year in the Big Ten, so we're more likely to win all our games.
you could also consider masking your IP through a proxy, which would circumvent their location restriction. wouldn't give you a foreign billing address though..
Recent Comments
two for Garnett/Stanford
The scout page now has both analysts predicting Michigan for Diamond, unless they're rotating picks from more than 2 analysts.
I can't speak for any of the rest of the Ivy League, but at Cornell there is definitely a gap between recruited athletes and the general student body. Unfortunately, it's hard to sort out how much of that academic difference is real or just perceived; a fair number of people take themselves too seriously, and the notion that someone "only got in because they play sport X" makes athletes easy targets for your average, insecure Ivy-League nincompoop. The few football players I know, however, are all very serious about school. I would guess that the gap between ivy league athletes and and the general population is less significant than at a Michigan or an Iowa, for example, because the bar is already set higher to start with.
Another thing to consider is that Ivy League doesn't have tutor networks or a big academic support staff for their athletes, benefits which are made available to football players at a lot of BCS schools. That means that much of Ivy League athletics admissions is self-selective, i.e. kids don't go to schools if they don't think they can handle the pressure. That kind of expectation just doesn't exist to the same extent in the rest of D1.
These seem to me to be fairly large cultural differences, and I'm not sure a similar, AI-based model would work for the Big Ten.
the way this particular metric calculates SOS uses the likelyhood of going undefeated against the team's schedule. michigan's schedule is much weaker than expected this year because of the down year in the Big Ten, so we're more likely to win all our games.
you could also consider masking your IP through a proxy, which would circumvent their location restriction. wouldn't give you a foreign billing address though..