I don't think there is enough data to make the statistical analysis valuable.
First look at college football vs MLB. MLB teams have many more games per year. MLB teams had played the game much the same, with the same assumptions for probably at least 100 years before Oakland started looking at things differently. MLB keeps detailed statistics about the games and players, and have for more than 100 years. That means there was a very substantial amount of data available to complete statistical analysis on. College football keeps some statistics, but they are not as detailed as MLB. How many times per year in MLB is there an opportunity for a double play with no outs while a runner could score if you complete the double play? How many times per year in college football is there a 4th and 4 on your own 42 yard line? How many times have the college football teams gone for it on 4th and 4? I don't know, but I think there would be a large difference in the number of times that MLB teams hold the runner vs attempt the double play. More data, and more varied data results in better statistical analysis with which to make decisions.
Secondly, how much data is available about high school recruits? I would say almost none as a comparison to MLB statistics. You know the height and weight. Maybe some measurables, but those measurables are not strictly controlled. The high school athletes do not go to a single event in a central location to be measured. Is a 0.1 second difference in 40 time, or three cone drill because one athlete is faster, or because one guy is slower with the clock? Does a high school RB run for 1,000 yards because he is extremely good, or because the region his high school in is not very talented? Is it possible for an extremely talented high school RB to only gain 600 yards because his teams offense only needs him to run occasionally? But he is an extremely good pass blocker, and gains a first down every single 3rd down that he is asked to run?
For statistical analysis to help, you need enough statistics to get an accurate result. ESPN has started doing "analytics" during games. I am not very impressed with the win probability number they use. It seems to me like they could have a guy watching the game and updating that based on his opinion, and it would very closely match their number. They started last year showing "ESPN Analytics" for whether a team should go for it on 4th down. I saw some where it said a team should not go for it on 4th and 3 or less from the other teams 40 yard line. I saw some where it said a team should go for it on 4th and less than 7 on their own 35 yard line. (I don't remember the actual numbers, but I did see some in that range.) I see no way that could be accurate. I'm sure some will say that MLB managers didn't believe the moneyball analytics until it was used. I would counter that MLB managers could have looked at the data and the analysis methods used to decide whether it made sense or not. We do not know what data ESPN is using for the "ESPN Analytics". We do not know what statistical methods ESPN is using for those. I am not going to put faith into their numbers just because the call them analytics.