All of the information will be in excel files, and I will probably have it all available on google docs. I am working on drafting the primer as a text document as we speak so hopefully I will have that done some time in the next day or so.
As far as the college and euroleague stats....those are more complicated but they are (finally) done. Basically what I did was I created a database of a top 200 or so prospects (euro and college), including the top 85 real-life prospects from DraftExpress. Instead of copying the full rosters from every college and euro team I split it up into 18 NCAA teams and 8 euro teams, each organized by region. In order to get a wider range of players, I often created an "A" and "B" team for each region, and split the prospects evenly between the two (think of it like a snake draft for each region individually). or example, the "Mid-Atlantic" team recruits from New York, Pennsylvania and New Jersey.
The next step was the generate the prospects within this database. To do this, I assigned a NBA player comparison (found on the web- not my personal opinion) and then used that player comparison to assign a play "style" (as per 2k12) to each player. Then each player was ranked against the other players and placed on their respective teams (as I said earlier, according to what region their college is in).
After all of the players were placed on their teams I had to figure out how to set up a way to generate stats, since there is no college hoops game nowadays. The way that I did this was I separated each position into it's different "styles" in 2k12. For example, Point Guards can be either Pass First, Scoring, Defensive, All-Around, Athletic or 3pt Specialist. I went into my rosters in 2k12 (not the base rosters, mind you) and found a floor and ceiling player for that position. I took their stats from the 2012 season and broke those down to a per-minute number (i.e., points scored per minute played). I did this for each and every player style found in 2k12.
One this step was done it was time to start the longest one of all. I created a rotation for each of the teams in NCAA and Euroleague and used a random number generator to create a result for each of the players on each team. I did this for all 200 prospects and the numbers came out great.