Stanzi
Well-Known Member
Which site are we #53 on troll? None of the major ones clearly. You're confusing Iowa with your beloved Cyclones. Now kindly go consume a Richard.
*Edited to be nicer.
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Tracking 2014 Class Offers
- Thread starter thejumper5
- Start date
Which site are we #53 on troll? None of the major ones clearly. You're confusing Iowa with your beloved Cyclones. Now kindly go consume a Richard.
*Edited to be nicer.
HawksRule98
Banned
You obviously don't follow this stuff too closely, but we jumped up quite a bit after the latest commitment. Dumbazz.
deanvogs
Well-Known Member
What a good recruiting class considering we were recruiting off the 4-8 year. Most of these guys sans Reynolds, Taylor and Hendrick have been committed for a long time now. 2015 is off to a great start with Beneventi and Newborg on board, and hopefully the Paulsen twins soon.
Churlish79
Well-Known Member
I think 2015 really could be a fantastic recruiting year if we can have some success on the field this year.
Newborg, Beneventi, several high RBs on the radar, Paulsen Twins, Jaelen from Texas... and FFS, let's try our best to keep Hilliard's brother interested.
Newborg, Beneventi, several high RBs on the radar, Paulsen Twins, Jaelen from Texas... and FFS, let's try our best to keep Hilliard's brother interested.
HawksRule98
Banned
Iowa finishes at 61st on the Rivals teams rankings. Sixty-first!!!!!
If you go by average stars its right where we normally are (past 3 years) in that 45-55 range.
HawksRule98
Banned
Where u at, brah? Out sucking some Richards?
HawksRule98
Banned
Still waiting on Stanzi. He must be into some pretty good Richards.
thejumper5
Well-Known Member
According to a tweet by former Cyclone and now independent kicking coach Bret Culbertson, Miguel Recinos of Mason City is planning to walk-on for the Hawkeyes. According to QuickStatsIowa.com, in 2013, Recinos was 18/20 on XP, 10/16 (long 58) on FGs, had 34/38 touchbacks on KOs, and averaged 43.7 yards per punt with a long of 68.
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big10er
Well-Known Member
1 out of 16 on field goals? That's almost 6.5%.
thejumper5
Well-Known Member
Typo. Should say 10/16.
Churlish79
Well-Known Member
Pulled in less kids than Iowa State, has a more impressive class though in averages.
Funny how of the 4 recruiting services sites, you went with the only one that places Iowa behind Iowa State even with that discrepancy.
Whatever you gotta do, I guess..
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Iowa appears to have gotten some quality walk ons. Also, ISU does not have a better class. Rivals ranks based on a point system which is pretty stupid. More players equals more points and also one guy can get a team a lot of points like Lazard but if you look at the depth of the class and average stars Iowa is clearly better.
thejumper5
Well-Known Member
I prefer the way 247Sports evaluates team classes. They give more weight to a class's highest rated recruits and less weight to the lowest rated recruits. Additionally, having a larger class doesn't give you nearly as much of a leg up. I think their system does a good job balancing quantity and quality.
From 247Sports:
[h=3]The Formula[/h]
[h=3]Explanation[/h]In order to create the most comprehensive Team Recruiting Ranking without any notion of bias, 247Sports Team Recruiting Ranking is solely based on the 247Sports Composite Rating.
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 use a varying value for σ based on the standard deviation for the total number of commits between schools for the given sport. 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.
woodyk1
Well-Known Member
I prefer the way 247Sports evaluates team classes. They give more weight to a class's highest rated recruits and less weight to the lowest rated recruits. Additionally, having a larger class doesn't give you nearly as much of a leg up. I think their system does a good job balancing quantity and quality.
From 247Sports:
[h=3]The Formula[/h]where c is a specific team's total number of commits and R[SUB]n[/SUB] is the 247Sports Composite Rating of the nth-best commit times 100.
[h=3]Explanation[/h]In order to create the most comprehensive Team Recruiting Ranking without any notion of bias, 247Sports Team Recruiting Ranking is solely based on the 247Sports Composite Rating.
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 use a varying value for σ based on the standard deviation for the total number of commits between schools for the given sport. 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.
