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The Formula

where c is a specific team's total number of commits and R_n is the 247Rating of the nth-best commit

Explanation

Each recruit is weighted in the rankings according to a Gaussian distribution formula (a bell curve), where a team's best recruit is worth the most points. You can think of a team's point score as being the sum of ratings of all the team's commits where the best recruit is worth 100% of his rating value, the second best recruit is worth nearly 100% of his rating value, down to the last recruit who is worth a small fraction of his rating value. This formula ensures that all commits contribute at least some value to the team's score without heavily rewarding teams that have several more commitments than others.

Readers familiar with the Gaussian distribution formula will note that we used the value 6 for σ because this was the standard deviation for total number of commits between schools as they were ranked during the 2011 recruitment year, the year this formula was developed. This standard deviation creates a bell curve with an inflection point near the average number of players recruited per team.

Below is a graphical representation of how our formula works. You can see that the area under the curve gets smaller both as the rating for a commit decreases and as the number of total commits for a school increases. The y-axis in this graph represents the percentage weight of the score that gets applied to an overall team ranking.