-
DualThreatQB
- 2 stars Rating: 30
1041 votes total - (243)
- 18 months
- Send Message
- Follow User
- Ignore User
- 2 stars
-
GetHooked
- 5 stars Rating: 87
8241 votes total - LHO .
- (8055)
- 34 months
- Send Message
- Follow User
- Ignore User
- 5 stars
-
The Bigdawg
- 2 stars Rating: 37
1355 votes total - (1610)
- 34 months
- Send Message
- Follow User
- Ignore User
- 2 stars
-
Whataburger ●
- 5 stars Rating: 97
142 votes total - Tech Support
- (271)
- 25 months
- Send Message
- Follow User
- Ignore User
- 5 stars
-
BobbyBurton ●
- 5 stars Rating: 96
22138 votes total - (22263)
- 34 months
- Send Message
- Follow User
- Ignore User
- 5 stars
-
BobbyBurton said...
It has zero to do with star rankings and everything to do with the actual grade. We give grades (a "247 rating") to every recruit ranging from 60-100.
Below is the actual explanation of the formula itself. It is top heavy in favor of the best players in a class. You can get to this explanation and the graph accompanying it by clicking on the "i" icon on the team ranking page next to the title.
*** 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.
-
BobbyBurton said...
It has zero to do with star rankings and everything to do with the actual grade. We give grades (a "247 rating") to every recruit ranging from 60-100.
Below is the actual explanation of the formula itself. It is top heavy in favor of the best players in a class. You can get to this explanation and the graph accompanying it by clicking on the "i" icon on the team ranking page next to the title.
*** 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.
Whataburger ●
- 5 stars Rating: 97
142 votes total - Tech Support
- (271)
- 25 months
- Send Message
- Follow User
- Ignore User
- 5 stars
-
ExpatriaTex ●
- 5 stars Rating: 93
865 votes total - (777)
- 30 months
- Send Message
- Follow User
- Ignore User
- 5 stars
-
BobbyBurton ●
- 5 stars Rating: 96
22138 votes total - (22263)
- 34 months
- Send Message
- Follow User
- Ignore User
- 5 stars
-
DualThreatQB
- 2 stars Rating: 30
1041 votes total - (243)
- 18 months
- Send Message
- Follow User
- Ignore User
- 2 stars
-
Jeff Howe
- 5 stars Rating: 97
20257 votes total - Jeff Howe
- (27376)
- 34 months
- Send Message
- Follow User
- Ignore User
- 5 stars







Bobby why is Bama #1 in team rankings?