I do this every year but I'm super late this year considering the NFL Draft was like 3 months ago.
I run a site that does composite recruit ratings, and the basis of how I calculate them is by looking at which players wind up getting drafted and those that don't. The hypothesis is that the higher the recruit rating the more likely they are to be drafted, and that has overwhelmingly been proven true. Now that another year has passed and I can close out the 2016 recruiting class on whether or not those players wound up drafted, the data has become even more accurate:
Before this previous NFL Draft there used to be a couple outliers, like 3.4-star recruits had a higher draft rate than 3.6 stars. Now there are really only two: The very lowly-rated recruits are very rare to be signed by Big Ten programs at all, but yet a handful of them wound up drafted. (When I update this next year for the 2017 class Derrick Barnes will become the 1st 2.4-star recruit drafted in the Big Ten.) And also, 3.2-star recruits get drafted at a 9.27% rate, but that falls a minuscule amount to 9.25% at 3.4-stars. Other than that, the higher the rating = the more likely to be drafted across the board.
Draft Rates:
New Feature
I haven't truly updated my website (besides the data) in probably 6 years. Now I think I've come across the absolute best way to rank recruiting classes: Projected NFL Draft Picks. If I know the odds of each player getting drafted, then I should be able to accurately guess how many players in a recruiting class are going to get drafted, right?
Here are past Purdue classes, the number of players expected to be drafted using the exact data from above, and the number of players who were actually drafted:
Projected NFL Draft Picks in Purdue classes where the jury is still out:
But why stop at Purdue? What if we used this as a basis of ranking where we're at in the 2022 recruiting class? (Ratings taken from a couple of days ago.)
I am very strongly considering having this metric replace my arbitrary class rankings points system. There's no "game aspect" in terms of a points system or any subjectivity to this, it relies 100% on what has actually happened and applies that data going forward.
The Thunderdome
I have the expected # of draft picks and the actual number of draft picks from 2011-2016. So... who is the best at actually developing players into NFL Draft picks based on the talent level they bring in?
Ex: Ohio State had 49 players drafted from 2011-2016 (jeez). They were expected to have 34.68 players drafted. 49 - 34.68 = +14.31 (with some rounding)
Tl;dr
**** Indiana.
I'm going to go outside now.
I run a site that does composite recruit ratings, and the basis of how I calculate them is by looking at which players wind up getting drafted and those that don't. The hypothesis is that the higher the recruit rating the more likely they are to be drafted, and that has overwhelmingly been proven true. Now that another year has passed and I can close out the 2016 recruiting class on whether or not those players wound up drafted, the data has become even more accurate:
Before this previous NFL Draft there used to be a couple outliers, like 3.4-star recruits had a higher draft rate than 3.6 stars. Now there are really only two: The very lowly-rated recruits are very rare to be signed by Big Ten programs at all, but yet a handful of them wound up drafted. (When I update this next year for the 2017 class Derrick Barnes will become the 1st 2.4-star recruit drafted in the Big Ten.) And also, 3.2-star recruits get drafted at a 9.27% rate, but that falls a minuscule amount to 9.25% at 3.4-stars. Other than that, the higher the rating = the more likely to be drafted across the board.
Draft Rates:
- 2-Star Recruits: 3.98%
- 3-Star Recruits: 9.67%
- 4-Star Recruits: 27.43%
- 5-Star Recruits: 100.00%
- 2011 Big Ten Recruits: 10.14% Drafted
- 2012 Big Ten Recruits: 11.95% Drafted
- 2013 Big Ten Recruits: 11.95% Drafted
- 2014 Big Ten Recruits: 12.63% Drafted
- 2015 Big Ten Recruits: 11.33% Drafted
- 2016 Big Ten Recruits: 13.85% Drafted
New Feature
I haven't truly updated my website (besides the data) in probably 6 years. Now I think I've come across the absolute best way to rank recruiting classes: Projected NFL Draft Picks. If I know the odds of each player getting drafted, then I should be able to accurately guess how many players in a recruiting class are going to get drafted, right?
Here are past Purdue classes, the number of players expected to be drafted using the exact data from above, and the number of players who were actually drafted:
- 2011 - 1.00 Players Expected to be Drafted - 0 Actually Drafted
- 2012 - 2.05 Players Expected to be Drafted - 1 Actually Drafted (Anthony Brown)
- 2013 - 1.79 Players Expected to be Drafted - 2 Actually Drafted (Danny Etling, DeAngelo Yancey)
- 2014 - 1.40 Players Expected to be Drafted - 1 Actually Drafted (Ja'Whaun Bentley)
- 2015 - 1.66 Players Expected to be Drafted - 2 Actually Drafted (Markus Bailey, Brycen Hopkins)
- 2016 - 1.13 Players Expected to be Drafted - 0 Actually Drafted
Projected NFL Draft Picks in Purdue classes where the jury is still out:
- 2017 - 1.58 Players Expected to be Drafted (Derrick Barnes already)
- 2018 - 2.41 Players Expected to be Drafted (Rondale Moore already)
- 2019 - 3.15 Players Expected to be Drafted
- 2020 - 2.39 Players Expected to be Drafted
- 2021 - 1.33 Players Expected to be Drafted
- 2022 - 1.28 Players Expected to be Drafted (and class is still growing obviously)
But why stop at Purdue? What if we used this as a basis of ranking where we're at in the 2022 recruiting class? (Ratings taken from a couple of days ago.)
- Ohio State - 4.67 Projected NFL Draft Picks - 16 Commits
- Penn State - 3.17 Projected NFL Draft Picks - 17 Commits
- Michigan - 2.01 Projected NFL Draft Picks - 14 Commits
- Rutgers(!) - 1.91 Projected NFL Draft Picks - 13 Commits
- Indiana - 1.53 Projected NFL Draft Picks - 11 Commits
- Wisconsin - 1.35 Projected NFL Draft Picks - 11 Commits
- Northwestern - 1.28 Projected NFL Draft Picks - 12 Commits
- Michigan State - 1.28 Projected NFL Draft Picks - 13 Commits
- Purdue - 1.28 Projected NFL Draft Picks - 13 Commits
- Minnesota - 1.27 Projected NFL Draft Picks - 13 Commits
- Illinois - 1.06 Projected NFL Draft Picks - 12 Commits
- Maryland - 1.04 Projected NFL Draft Picks - 10 Commits
- Iowa - 0.83 Projected NFL Draft Picks - 7 Commits
- Nebraska - 0.67 Projected NFL Draft Picks - 7 Commits
I am very strongly considering having this metric replace my arbitrary class rankings points system. There's no "game aspect" in terms of a points system or any subjectivity to this, it relies 100% on what has actually happened and applies that data going forward.
The Thunderdome
I have the expected # of draft picks and the actual number of draft picks from 2011-2016. So... who is the best at actually developing players into NFL Draft picks based on the talent level they bring in?
Ex: Ohio State had 49 players drafted from 2011-2016 (jeez). They were expected to have 34.68 players drafted. 49 - 34.68 = +14.31 (with some rounding)
- Ohio State | +14.31 Draft Picks
- Penn State | +11.01 Draft Picks
- Iowa | +4.28 Draft Picks
- Michigan | +3.17 Draft Picks
- Minnesota | +1.50 Draft Picks
- Wisconsin | +0.87 Draft Picks
- Indiana | -1.84 Draft Picks
- Maryland | -2.38 Draft Picks
- Purdue | - 3.03 Draft Picks
- Northwestern | -4.37 Draft Picks
- Michigan State | -5.04 Draft Picks
- Illinois | -5.55 Draft Picks
- Rutgers | -5.58 Draft Picks
- Nebraska | -7.33 Draft Picks
Tl;dr
**** Indiana.
I'm going to go outside now.