Sorry if this is off topic but MemberLG it seems like you have a bit of experience with the application process, but have you ever seen a 1500+ SAT get rejected for either USMA or ROTC?
I am a FFR, state FFR coordinator, and doing this for awhile. I can view selected information on all applicants from my state.
Don't keep track of who get rejected, but remember a kid with 1440 getting rejected for USMA with top 1% class rank. Also remember a kid with 1460 not getting a medical wavier request submitted.
One thing I usually tell candidates is that there is no extra credit in WCS. Typically, the candidate with the highest WCS in the cateogory gets the appointment. The WCS is about 60% academic, 30% leadership, and 10% physical. Most candidates like to focus on their strength - something like if you are good with standardized test, you take it multiple times; good leadership, look for more leadership opportunties; and in good shape take the CFA again. However, if you are close to maxing your sports portion of your leadership grade (i.e. team captain, winning a state title, being named all American), playing another sports will generate minimum additional WCS points. So I advise candidates focus on your weak areas, especailly if the weak area is academics. In a typical Congressiona district, the competition is among well round candidates for the appointment, not between a candidate strong in academics but not so strong leaderhsip against a candidate not so strong in academics but strong in leadership.
A simple example, for discussion puprose, WCS equals 100 points, with academic 60 points, leadership 30 points. The CFA will stay constant, C.
Candidate A is 90 percentile in academics and leaderhip, so 60*(.9) + 30*(.9) + C = 81 + C
Candidate B is 92 percentile in academics and 80 precentile on leadership, so 60*(.92) + 30*(.85) + C = 80.7 + C
Candidate C is 80 percentile in academics and 100 pcerential on leaderhsip, so 60*(.8) + 30*(1) + C = 78 + C
Candidate A has the highest WCS.
This is very simplitic model, but we cannot create a better model because we don't know the exact point values, but the point is that a well rounded candidate beats not well rounded candidates.