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Diaries
Four Factors, Defensive Efficiency, and Individual Defensive Statistics
[ed: bump.]
This diary was prompted by the debate from Tuesday between Brian and the Big Ten Geeks regarding the value of defensive rebounding. I read the Big Ten Geeks article that morning and had many of the same thoughts as Brian-I've never been a fan of the stops metric, particularly the way it was being used to compare players. As the debate moved to the value of defensive rebounding percentage, I decided to look through some Kenpom numbers to make a better argument for the importance/insignificance of that particular statistic.
| D-Eff Type | eFG% | TO% | DReb% | FT Rate | |
|---|---|---|---|---|---|
| 2013 | Raw | 0.86 | -0.39 | 0.46 | 0.17 |
| Adj | 0.82 | -0.33 | 0.49 | 0.18 | |
| 2012 | Raw | 0.86 | -0.39 | 0.40 | 0.15 |
| Adj | 0.78 | -0.28 | 0.43 | 0.23 | |
| 2011 | Raw | 0.84 | -0.37 | 0.43 | 0.15 |
| Adj | 0.77 | -0.18 | 0.48 | 0.28 | |
| 2010 | Raw | 0.84 | -0.39 | 0.42 | 0.17 |
| Adj | 0.76 | -0.19 | 0.44 | 0.28 |
A couple of notes. While I've labeled it as "DReb%", the statistic used was actually Opponent Offensive Rebounding %, hence the positive correlation with Defensive Efficiency (both statistics are "better" for the defense when the number is lower). TO% has a negative correlation because a higher TO% is "better" for the defense, so a high TO% would lead to a lower (read: better) defensive efficiency.
(It’s interesting to see how the Kenpom adjustments to efficiency change the numbers. eFG% and TO% consistently drop when adjusting for competition, while Dreb% and FTRate rise. The smaller deltas for this year makes me believe that this is a result of conference play and the leveling the playing field between teams that played non-conference schedules of varying difficulty, due to the relatively large proportion of non-conference game in the 2013 sample. I digress.)
It is well-known at this point that eFG% is by far the most important factor in defensive efficiency, but I was surprised that DReb% was the second most important factor (I had assumed it would be turnover rate). After seeing these results, I looked at the correlations between the four factors next.
| eFG% | TO% | DReb% | FTRate | |
|---|---|---|---|---|
| eFG% | 1 | 0.01 | 0.33 | 0.24 |
| TO% | x | 1 | 0.18 | 0.34 |
| DReb% | x | 1 | 0.13 | |
| FT Rate | x | x | x | 1 |
So, there is a weak, but significant (with >340 samples) correlation between eFG% and DReb%. Going back to the correlations with defensive efficiency, I ran a partial correlation between DReb% and adjusted defensive efficiency, controlling for eFG%, which produced a value of…0.41. About the same correlation as TO% (a partial correlation for TO% is almost exactly the same as one without the adjustment, as you’d anticipate based on the low correlation between TO% and eFG%).
It looks like defensive rebounding is at least as important as the non-eFG% factors. What about the effect on the offensive end? Like Brian, I believe that steals should be valued more than other defensive statistics, so I went in assuming that we’d see some sort of correlation between TO% and Offensive Efficiency.
| eFG% | TO% | DReb% | FTRate | |
|---|---|---|---|---|
| Raw | -0.31 | 0.01 | -0.38 | -0.39 |
| Adjusted | -0.36 | 0.01 | -0.38 | -0.41 |
Negative correlations are due to lack of adjustment to defensive ratings for use with offensive efficiency (switching from lower = better to higher = better). However, from this, we can clearly see that defensive rebounding is just as important as any of the other defensive factors when it comes to offense. Michigan’s offense this season has shown this fanbase how defensive rebounding can trigger the break, but it is even more evident when you watch other leagues, where fewer teams put an emphasis on transition defense and sending players back on a change of possession and the game often breaks down into 2-on-2 or 3-on-2 runouts in each direction.
However, after all of this, I still believe that defensive rebounding is overrated as an individual metric. I'm not complaining about Jordan Morgan’s season, but he just isn’t a defensive game-changer in the way of Jeff Withey, Anthony Davis, Fab Melo, Nerlens Noel, or even A.J. Hammons. As has been stated, his high “stops” count is due to both Michigan’s excellent team Dreb% and Morgan's high individual number. His block and steal numbers are very low (his block% is 7th on the team, lower than all other starters, McGary and Horford). I might even argue that his presence has some effect on Michigan’s defensive philosophy and their inability to prevent three-pointers. With Morgan not a threat to alter shots inside, Michigan has to constantly switch on screens in order to prevent easy dribble penetration and 2-on-1 scenarios. They can’t fight over the top of screens to better challenge outside shots.
There was a great example of the effect that a shot-blocker has in the Iowa-Purdue game from Sunday, where Iowa’s players often had Purdue defenders trailing them after screens, but could not drive inside easily due to Hammon’s presence. Unfortunately, there weren't any Youtube highlights for that game, so I had to make due with the Michigan-Purdue game for an example.
First, Morgan sets a good screen for Burke. Hammons did not follow Morgan out to the perimeter, and you can see Ronnie Johnson start to fight through the screen at the top.

Burke is around the screen, but Johnson has followed him, preventing Burke from pulling up for an open three. Hammons is still in the paint, while Morgan is about to roll to the basket.

Finally, Burke has picked up the ball, unable to penetrate past Hammons or shoot over him. Purdue's defensive philosophy has helped remove the threat of a 3 from Michigan's balls-screen offense. Fortunately for Michigan, D.J. Byrd is still afraid of Burke and is about to jump in to help off Stauskas, leaving him open for a soon-to-be-bured 3. Not the best result for my example, but good for Michigan.

Further validating the importance of having a shot-altering presence: Correlation between block rate and defensive efficiency is very high (0.51), largely due to its influence on effective field goal % (correlation of 0.61).
This is all part of the bigger argument that the Big Ten Geeks make in their response to Brian's criticism-that post players/taller players should score higher on defensive metrics. Taller players can more easily influence defensive play away from their man, and playing on the interior puts you in better position for defensive statistics on every possession. Seeing as the objective of a perimeter defender is usually to prevent a single player from scoring/impacting the game, the best argument or evidence for an Oladipo or Craft would be to compare single game statistics vs season numbers for their primary defensive responsibility. They can’t impact the entire opposing offense and accumulate statistics in the same way as a Hammons or Berggren, but that’s a difference between the roles of perimeter defense and interior defense rather than a gap in defensive aptitude. You wouldn't want either of those guys I just mentioned chasing Trey Burke around the perimeter the way Christian Watford did, briefly, in last year's Indiana game. While Watford may have been successful initially, Burke got over the surprise and went on to score 18 points on 9 shots.
In my opinion, the best way to statistically evaluate individual defensive impact would be something similar to what Ace posted on Tuesday, evaluating lineups and considering an individual player’s ability to improve team defensive statistics while they are in the game. Now, this isn’t as fair to players like Caris LeVert and Spike Albrecht, who are rarely on the court with four other starters (theoretically the better defenders), but we could make an initial assumption that the other rotation players are all roughly equivalent when analyzing an individual player. It’s also unfair to players like Trey Burke, who might play 90% of the team’s minutes any given night and have a limited sample of largely garbage time minutes against which to compare the impact of their absence. That said, it would provide a better picture of a player’s ability to influence the opponent’s offensive strategy and results.
I am very curious to see the 3PA/FGA ratios and 3P% isolated for Michigan's three centers. Even though the team defensive philosophy remains the same for all three,it would be enlightening if opponents were taking more threes (or lower quality threes) depending on which player was protecting the paint. Ken Pomeroy wrote a blog post this week discussing the Syracuse zone and its (limited) ability to force lower quality three point attempts. Any effect at Michigan would likely be much smaller than that seen at the schools discussed in his post, but would still be worth examining.
The Blockhams in "NUMBER ONE"
NUMBER ONE
(Click the Image to See Full Size Version)
Go ahead, my friends. Put it up, take a lap around the office. You deserve it.
Friday Fun will celebrate last Saturday, one of the Greatest Saturdays in the Offseason since last year's Most Greatest Saturday in the Offseason. Don't miss it.
Some new formatting news for the New Year:
THE BLOCKHAMS™ runs (typically) every Wednesday here at MGoBlog and on its official home page. Also, don't forget to check out the Friday Fun, my weekly single panel comic based on trending Michigan events, available on Twitter and the home page every Friday.
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#1 teams at the end of January--the historical record
[ed-s: bumped from the beoard]
[ed-yeo: added seed information]
Thought it might be useful to look through a poll archive and see who was #1 in the last January AP poll each year and where they finished the season. I went back to 1960 but, as you'll see, results in the early years are qualitatively different, partly because the tournament was smaller then but mostly thanks to UCLA. The January #1 made the final four 14 of 15 years from 1960-1974, a string weirdly followed shortly thereafter by a stretch where 4 of 8 got knocked out in the first round. In the last 30 years they've finished as follows:
- 4 won national titles
- 3 lost in title game
- 6 lost in national semifinal
- 7 lost in regional final
- 7 lost in round of 16
- 2 lost in round of 32
- 1 lost in round of 64
(Yes, the last 11 months of 1990 were a bad time for Missouri basketball.)
Seeding as we know it began in 1979. Since then, 25 of 34 January #1's were 1 seeds, 7 schools dropped to #2 and 2 dropped to #3.
The last January #1's to not make the tournament were Kentucky in 1954, banned for a point-shaving scandal, and Seton Hall in 1953, who chose to play in the then-more-prestigious (at least for east coast schools) NIT. Don't think we have to worry about either of those outcomes.
Here's the list (all teams were seeded #1 unless otherwise noted):
- 2012: Kentucky, national champion
- 2011: Ohio State, lost to Kentucky in regional semifinal
- 2010: Kentucky, lost to West Virginia in regional final
- 2009: Duke, #2 seed, lost to Villanova in regional semifinal
-
2008:
MemphisVacated, lost to Kansas in national final - 2007: Florida, national champion
- 2006: Connecticut, lost to George Mason in regional final
- 2005: Illinois, lost to North Carolina in national final
- 2004: Duke, lost to Connecticut in national semifinal
- 2003: Arizona, lost to Kansas in regional final
- 2002: Duke, lost to Indiana in regional semifinal
- 2001: Stanford, lost to Maryland in regional final
- 2000: Cincinnati, #2 seed, lost to Tulsa in second round
- 1999: Connecticut, national champion
- 1998: Duke, lost to Kentucky in regional final
- 1997: Kansas, lost to Arizona in regional semifinal
-
1996:
MassachusettsVacated, lost to Kentucky in national semifinal - 1995: Massachusetts, #2 seed, lost to Oklahoma State in regional final
- 1994: Duke, #2 seed, lost to Arkansas in national final
- 1993: Kansas, #2 seed, lost to North Carolina in national semifinal
- 1992: Duke, national champion
- 1991: UNLV, lost to Duke in national semifinal
- 1990: Missouri, #3 seed, lost to Northern Iowa in first round
- 1989: Oklahoma, lost to Virginia in regional semifinal
- 1988: Arizona, lost to Oklahoma in national semifinal
- 1987: North Carolina, lost to Syracuse in regional final
- 1986: North Carolina, #3 seed, lost to Louisville in regional semifinal
- 1985: St.John's, lost to Georgetown in national semifinal
- 1984: North Carolina, lost to Indiana in regional semifinal
- 1983: UCLA, #2 seed, lost to Utah in round of 32
- 1982: Missouri, #2 seed, lost to Houston in regional semifinal
- 1981 (tie): Oregon State, lost to Kansas State in round of 32
- 1981 (tie): Virginia, lost to North Carolina in national semifinal
- 1980: DePaul, lost to UCLA in round of 32
- 1979: Notre Dame, lost to Michigan State in regional final
- 1978: Kentucky, national champion
- 1977: San Francisco, lost to UNLV in first round
- 1976: Indiana, national champion
- 1975: Indiana, lost to Kentucky in regional final
- 1974: UCLA, lost to North Carolina St. in national semifinal
- 1973: UCLA, national champion
- 1972: UCLA, national champion
- 1971: Marquette, lost to Ohio State in regional semifinal
- 1970: UCLA, national champion
- 1969: UCLA, national champion
- 1968: Houston, lost to UCLA in national semifinal
- 1967: UCLA, national champion
- 1966: Duke, lost to Kentucky in national semifinal
- 1965: UCLA, national champion
- 1964: UCLA, national champion
- 1963: Cincinnati, lost to Loyola in national final
- 1962: Ohio State, lost to Cincinnati in national final
- 1961: Ohio State, lost to Cincinnati in national final
- 1960; Cincinnati, lost to California in national semifinal
Wallpaper Season (Basketball) - February Schedule
Ok, so I'm ready to hit the hay, but I wanted to get this wallpaper up for those of you already looking forward to Saturday. Hope you enjoy it! I'll try to post a mobile version soon. Additionally, I will attempt to get another wallpaper for February up before Saturday. As always, I welcome constructive criticism and/or large sums of money.
Go Blue!
Desktop Version (16:9, sort of):
- JonValk
Top 13 Sprays for National Title Contenders
I really wasn't planning on writing two diaries within the same month, let alone within the same 24 hour period. But, in honor of the unfolding story in Tuscaloosa, I have prepared a list of my Top 13 Sprays for National Championship Contenders. I hope you dig it.
13. The Amazing Oregon Spray-on Uniform: this product combines all sixteen of your team’s colors into one convenient bottle of spray-on uniform. The different hues emerge randomly from the bottle during the application process, guaranteeing that your uniform never looks the same twice! Get yours now!
12. Just for GERG: When you’re giving up 450 yards per game, you can’t afford not to have the perfect hair. That’s why you need Just for GERG. A couple squirts per day will keep the foxy in that brilliant silvery mane. Get Just for GERG, and tell that offense: “you may score 60 points today, but you can’t take the hair away.”
11. Princess Leia Hologram Spray: Hold the spray nozzle down, and this spray bottle will project an image of the Rebel leader pleading, “Help me Obi-Wan Kenobi, you’re my only hope.” Order yours right away, because you must learn the force if you’re to come with me to Alderran.
10. Zingerman’s No. 2: Because the only thing better than eating a Binny’s Brooklyn Rueben is smelling like one too! (And look for Dave’s Open Road this summer!)
9. Fruehauf Mudflap Spray: Feeling down because that fourth DUI is keeping you off the road? Snuff just not enough anymore? Striking out at the bowling alley? Just apply a few squirts of the original Fruehauf Mudflap Spray, and kickstart your redneck. (Use only as directed; recommended for Buckeyes only).
8. Charlie Sheen’s Aerosol Cocaine: One word—winning. But you knew that already.
7. Pam: “Terrific for cooking, even better for NCAA investigations!” – Ohio State A.D. Gene Smith
6. Gandalf’s Anti-Balrog Spray: Nothing distracts from a mythical national championship run like having to battle an ancient demon on a Dwarven stone-bridge spanning a bottomless chasm in an abandoned undermountain mine. That’s why no FBS title contender should be without a bottle of Gandalf’s Anti-Balrog Spray. Order yours today!
5. Nick Saban’s Medically Unfit to Perform Spray: Some pesky junior not living up to his 4-star recruiting ranking? Some bookworm sophomore thinking he came to play school instead of the pigskins? Need to make room for that signing day surprise? Just try Nick Saban’s Medically Unfit to Perform Spray. A couple shots of this to a knee, a back, or even a shoulder can have your playa non grata going pro in something other than sports faster than you can say “medical scholarship.” Don’t build a college football dynasty without it.
4. Pure Dilithium: Apply directly to feet. Warning: do not tie shoelaces!
3. Kate Upton Dancing .gif Spray: Advanced technology allows you to literally spray one of Kate’s spicy .gifs directly onto any surface. Got a boring basement? Kate! Need to jazz-up that old garage? Kate! Want to tag that passing freight train? Kate! Hurry now while supplies last.
2. Tloy Willfork’s Name Obfuscation Spray: Trying to enjoy a romantic weekend with your (real, living, non-internet) girlfriend without being bothered by autograph seeking kids? Tired of BTN studio jive turkeys acting like they know your business? Got a big mouth and don’t trust yourself with that Twitter account you just opened? That’s when you need Tloy Willfork’s Name Obfuscation Spray. “Hey, aren’t you—“ {squirt, squirt} “—oh, I’m sorry. My mistake.” Yup.
1. Marques Slocum’s Fuck Lion Spray: da realest shit dere iz, yo. Carla approved.
How do they turn out?
An informational post about the Rivals 100 players Michigan has recruited since 2002 got me thinking, and in this relatively quiet period, I decided I wanted to dig a bit deeper.
The question I set out to answer: How do these guys turn out? At what rate do top recruits become top players in our program? And how does that compare to other programs?
Given limited time, I compared us to only one other program: Ohio. I used Rivals 100 data for position, stars, and rank. The "Impact" data point is my subjective interpretation of a player's career impact; 3 is a high impact player (Solid starter to All-B1G type), 2 is a role player (contributor to starter), and 1 is a low impact player (did not produce for whatever reason). These ratings are NOT based on talent or careers at other schools--only the player's impact where they signed their LOI. Players who have not yet had the opportunity to demonstrate a rating are designated "n/a". Players with an asterix have not yet signed. And yes, some of you will argue with me, but my overall ratings are close enough to make some good starting points for conversation. Here is the data, followed by conclusions:
| NAME | POSITION | STAR | NATL RANK | YEAR | STATE | IMPACT |
| Chad Henne | QB | 5 | 13 | 2004 | PA | 3 |
| LaMarr Woodley | LB | 5 | 14 | 2003 | MI | 3 |
| Brandon Graham | LB | 5 | 15 | 2006 | MI | 3 |
| Donovan Warren | DB | 5 | 25 | 2007 | CA | 3 |
| Stephen Schilling | OL | 5 | 26 | 2006 | WA | 3 |
| Gabe Watson | DT | 5 | 33 | 2002 | MI | 3 |
| Shawn Crable | DE | 4 | 39 | 2003 | OH | 3 |
| Jonas Mouton | DB | 4 | 45 | 2006 | CA | 3 |
| Mario Manningham | WR | 4 | 45 | 2005 | OH | 3 |
| Prescott Burgess | DB | 5 | 6 | 2003 | OH | 2 |
| Will Campbell | DT | 5 | 26 | 2009 | MI | 2 |
| Tim Jamison | DE | 4 | 40 | 2004 | IL | 2 |
| Darryl Stonum | WR | 4 | 41 | 2008 | TX | 2 |
| Greg Mathews | WR | 4 | 93 | 2006 | FL | 2 |
| Ryan Mundy | DB | 4 | 96 | 2003 | PA | 2 |
| Terrance Taylor | DT | 4 | 96 | 2005 | MI | 2 |
| Ryan Mallett | QB | 5 | 4 | 2007 | TX | 1 |
| Kevin Grady | RB | 5 | 22 | 2005 | MI | 1 |
| Justin Turner | DB | 4 | 35 | 2009 | OH | 1 |
| Marques Slocum | OL | 4 | 37 | 2005 | PA | 1 |
| Carlos Brown | RB | 4 | 39 | 2006 | GA | 1 |
| Boubacar Cissoko | DB | 4 | 44 | 2008 | MI | 1 |
| Antonio Bass | ATH | 4 | 49 | 2005 | MI | 1 |
| Dann O'Neill | OL | 4 | 49 | 2008 | MI | 1 |
| Justin Boren | OL | 4 | 64 | 2006 | OH | 1 |
| Clayton Richard | QB | 4 | 71 | 2003 | IN | 1 |
| Alex Mitchell | OL | 4 | 80 | 2004 | MI | 1 |
| Cory Zirbel | OL | 4 | 83 | 2005 | KY | 1 |
| Jim Presley | LB | 4 | 89 | 2003 | MI | 1 |
| Adam Patterson | DT | 4 | 91 | 2006 | SC | 1 |
| Toney Clemons | WR | 4 | 91 | 2007 | PA | 1 |
| Matt Gutierrez | QB | 4 | 96 | 2002 | CA | 1 |
| Brett Gallimore | OL | 4 | 96 | 2004 | MO | 1 |
| James McKinney | DT | 4 | 98 | 2005 | KY | 1 |
| Doug Dutch | WR | 4 | 98 | 2004 | DC | 1 |
| Cullen Christian | DB | 4 | 99 | 2010 | PA | 1 |
| Derrick Green (*) | RB | 5 | 8 | 2013 | VA | n/a |
| Ondre Pipkins | DT | 5 | 14 | 2012 | MO | n/a |
| Kyle Kalis | OL | 5 | 22 | 2012 | OH | n/a |
| Henry Poggi (*) | DT | 4 | 70 | 2013 | MD | n/a |
| Erik Magnuson | OL | 4 | 78 | 2012 | CA | n/a |
| Shane Morris (*) | QB | 4 | 81 | 2013 | MI | n/a |
| Patrick Kugler | OL | 4 | 82 | 2013 | PA | n/a |
| Justice Hayes | RB | 4 | 85 | 2011 | MI | n/a |
Let's start by looking at Michigan's "gets". There are some definite correlations. A higher national rank does indeed give a player a higher likelihood of making an impact. Of the 36 players who received a rating, nine were 3's (high impact), eight were 2's (role players), and 19 were...not so good. That gives Rivals 100 players during this period a 25% chance of being great, a 22% chance of being okay to good, and about a 53% chance of not being helpful at all. Basically, it's about 50/50 on whether or not these kids make a positive impact at Michigan.
That said, of the nine players who were 3's, 6 were five-star players. Two more five-star players made a 2 rating (Burgess & Campbell), and many would argue Burgess was a 3 (erroneously, but they would argue). That means roughly 80% of your five-star players end-up solidly contributing, and of the two that didn't--Mallet and Grady--only Grady was a complete bust, as Mallet went on to SEC stardom.
Of the 20 players who were 1's, 10 were ranked 80th or lower nationally, and only six were ranked higher than 40th.
I think it's important to consider that this time period includes two tumultuous coaching changes and a year of "lame-duck" coaching from Carr. I do not believe it will be representative of our success going forward, but it's the data we have.
| NAME | POSITION | STAR | NATL RANK | YEAR | STATE | IMPACT |
| Terrelle Pryor | QB | 5 | 1 | 2008 | OH | 3 |
| Theodore Ginn, Jr | DB | 5 | 2 | 2004 | OH | 3 |
| Chris Wells | RB | 5 | 3 | 2006 | OH | 3 |
| Mike Adams | OL | 5 | 3 | 2008 | OH | 3 |
| Michael Brewster | OL | 5 | 12 | 2008 | FL | 3 |
| Alex Boone | OL | 5 | 20 | 2005 | OH | 3 |
| DeVier Posey | WR | 5 | 21 | 2008 | OH | 3 |
| Donte Whitner | DB | 4 | 27 | 2003 | OH | 3 |
| Marcus Freeman | LB | 4 | 31 | 2004 | OH | 3 |
| Corey Brown | DB | 5 | 31 | 2009 | PA | 3 |
| Braxton Miller | QB | 4 | 34 | 2011 | OH | 3 |
| Maurice Clarett | RB | 5 | 37 | 2002 | OH | 3 |
| Brandon Saine | RB | 4 | 50 | 2007 | OH | 3 |
| Andrew Norwell | OL | 4 | 59 | 2010 | OH | 3 |
| Doug Datish | OT | 4 | 68 | 2002 | OH | 3 |
| Quinn Pitcock | DT | 4 | 72 | 2002 | OH | 3 |
| Doug Worthington | DE | 4 | 80 | 2005 | NY | 3 |
| Robert Rose | DE | 5 | 17 | 2006 | OH | 2 |
| Etienne Sabino | LB | 4 | 46 | 2008 | FL | 2 |
| Garrett Goebel | DT | 4 | 64 | 2008 | IL | 2 |
| J.B. Shugarts | OL | 4 | 87 | 2008 | TX | 2 |
| Mike D'Andrea | LB | 5 | 29 | 2002 | OH | 1 |
| Lamaar Thomas | ATH | 4 | 33 | 2008 | MD | 1 |
| Louis Irizarry | TE | 4 | 38 | 2003 | OH | 1 |
| Justin Zwick | QB | 4 | 40 | 2002 | OH | 1 |
| Connor Smith | OL | 4 | 55 | 2006 | OH | 1 |
| Kyle Mitchum | OL | 4 | 56 | 2004 | PA | 1 |
| Jaamal Berry | RB | 4 | 56 | 2009 | FL | 1 |
| Eugene Clifford | DB | 4 | 60 | 2007 | OH | 1 |
| Kenny Hayes | DE | 4 | 68 | 2011 | OH | 1 |
| Raymond Small | WR | 4 | 88 | 2006 | OH | 1 |
| Duron Carter | WR | 4 | 90 | 2009 | FL | 1 |
| Dorian Bell | LB | 5 | 33 | 2009 | PA | 1 |
| Jamie Wood | DB | 4 | 74 | 2009 | OH | 1 |
| Curtis Grant | LB | 5 | 2 | 2011 | VA | n/a |
| Noah Spence | DE | 5 | 9 | 2012 | PA | n/a |
| Adolphus Washington | DE | 5 | 25 | 2012 | OH | n/a |
| Mike Mitchell* | LB | 5 | 26 | 2013 | TX | n/a |
| Jalin Marshall* | ATH | 4 | 35 | 2013 | OH | n/a |
| Cameron Burrows | DB | 4 | 39 | 2013 | OH | n/a |
| Michael Bennett | DT | 4 | 41 | 2011 | OH | n/a |
| Joey Bosa* | DE | 4 | 47 | 2013 | FL | n/a |
| Marcus Hall | OL | 4 | 52 | 2009 | OH | n/a |
| Tommy Schutt | DT | 4 | 64 | 2012 | IL | n/a |
| Roderick Smith | RB | 4 | 65 | 2010 | IN | n/a |
| Ezekiel Elliott* | RB | 4 | 84 | 2013 | MO | n/a |
| Eli Apple | DB | 4 | 89 | 2013 | NJ | n/a |
| Evan Lisle* | OL | 4 | 90 | 2013 | OH | n/a |
| Se'von Pittman | DE | 4 | 95 | 2012 | OH | n/a |
Ohio's data gives us 35 rateable recruits to our 36. They show a similar correlation, with higher rankings and five-star players much more likely to be 3's. Of their 35 rated players, 17 were 3's, 4 were 2's, and 13 were 1's. That means roughly half (49%) of their rated players were 3's, and about 37% were 1's. Interestingly, many of their 1's were players who had trouble with the law--an issue that was much less prevalent with Wolverines.
The comparisons are pretty obvious: Ohio has gotten much more production out of their top recruits. This is, no doubt, partially attributable to mostly consistent coaching through the period by one of the best in the game (even if was a lying cheater). Ohio also had higher-ranked recruits--their average national ranking is 45.9 to Michigan's 55.2--and were much more geographically concentrated in Ohio and the midwest than Michigan's players.
Another interesting bit of data is that position does not seem to make much of a difference. LBs are probably the most successful recruits, but it matters very little. National ranking seems to correlate with impact regardless of position.
Going forward, my expectation is that roughly two-thirds (60-66% would be good) of Rivals 100 recruits end-up as solid contributors or better for Michigan, with about half becoming impact players. Unfortunately, the lower rankings of this year's four Top 100 recruits (Morris is 81 and Kugler 82) would suggest they have a smaller chance of being successful, while Poggi is most likely to be at least a contributor and Green has a 50/50 chance of being great. If Green finishes his career as a 3, and we get two 2's out of the other three, it will have been a very good year. If there are two 3's, it's a great year, and if there are two or three 1's, things didn't go so well.
I do believe our success with top talent will say a lot about or staff and look forward to revisiting this in 2016, when Hoke has had a full five-year cycle to demonstrate how well he can maximize talent.
GO BLUE.
EDIT: After some honest thought and good criticism, I bumped Will Campbell up to a "2". It's a "meh" difference statistically, but he probably earned it this year.


