"Rodrick Williams Jr.'s 10-month old, 2-foot-long savannah monitor named "Kill" gets the RB some strange looks when they go for walks together."
Until sometime Saturday evening, Michigan’s season was somewhat of an enigma. Entering Big Ten play the anecdotal evidence for the season was a mixed bag. Good performances against bad teams, weak performances against good (Air Force offense and Notre Dame) and great (Alabama) teams. Purdue entered Big Ten play with a similar resume. Big wins against three bad teams and a close loss against Notre Dame. Vegas installed Michigan as a slight road favorite more on preseason expectations than what has happened thus far.
Michigan responded with an old school MANBALL beat down and the picture is starting to become clearer. This is not a juggernaut Michigan team that can contend with the top teams in the country, but it is also a team that hasn’t faced a major let down the likes Michigan St, Iowa, Nebraska and the rest of the Legends division have seen already this year. Michigan’s remaining schedule shows only one team rated higher than them on offense and defense (Ohio St) and three teams that eclipse them on offense (Nebraska) or defense (Michigan St and Iowa).
Projected Michigan Wins
[After THE JUMP, where does Denard rank among 2012 NCAA QBs?]
Matthew Stafford (Rivals #6 overall, 2006) and Mitch Mustain (Rivals #10 overall, 2006)
With the ESPN150 hot off of the presses yesterday, all four major sites now have an updated Top 150/247/250/300 list available for the 2013 class. I wanted to dive in and look at how each service has performed over the years. Would any site stand out as doing a better job of predicting success? Do allegations of regional bias play out for any specific services?
Typically considered the gold standard (unless another site has the player you like rated higher), Rivals online archives are available back to 2002. They have produced a ranked Top 250 since 2008 (Terrelle Pryor was the original #1 recruit) and an unranked Top 250 list in 2006-2007. Since 2002 they have classified between 25 and 33 players as five stars and typically have about 300 four-stars per class.
Like Rivals, online archives go back to 2002. They're a bit more generous on the five-stars, extending the honor to exactly 50 high school seniors per class since 2008. The larger group of five-stars is offset by smaller group of four-stars that round out the rest of the Scout 300 ranking that has been available since 2005.
The Worldwide Leader joined the recruiting party in 2006. No one is stingier with the fifth star than ESPN, offering up between 11 and 18 each season since they went crazy with 42 in their first year. The ESPN four-star threshold is also a bit tougher. Last year the number peaked at 238 but prior to that the total was closer to 200 per class.
The newest service is 247 Sports, which did a barebones review of the 2010 class before jumping in head first for the last two completed classes. Their best-of list ranks the top 247 players (just like their name, get it?) and is in line with Rivals in terms of number of five- and four-star rated players. Their later entry into the group has allowed them to provide what is, in my opinion, the best website in terms of navigation and ease of use. For the most part they are excluded from these evaluations since the first class they fully rated were only freshman last season.
This is where it gets tricky. Do you evaluate on hits or misses or both? Based on available, accessible information I decided that hits would be easier to quantify and really what you want to know about a service. Who does a better job of predicting future stars? By stars I defined them as players who earned all-conference or AP All-American status for a BCS conference school. First team all-conference honors were weighted double and AP All-Americans were weighted triple. If a player earned awards for multiple years, their value was weighted for each season depending on their level.
Each recruit was given an overall ranking for each service in each season. If there was a formal ranking, I used my method to complete the rankings behind them. I used star values and position rankings to approximate a ranking. All five-stars were ranked first, then four-stars and finally three-stars. Each player was ranked in position order and the positions were allocated based on total quantity in each group. This way the #4 fullback wasn’t rated the same way as the #4 wide receiver. Kickers and punters were excluded.
The square root of the rank was then used to further accentuate the differences at the top end of the rankings. Ratings were capped at 1000 and any unranked player was given that value. ESPN was evaluated solely based on the 2006 and later classes.
Who Rates the Best (at Rating)
Overall, Rivals gave the highest average rating to a future star. The weighted average ranking of a player to earn post-season honors from Rivals was #268. Scout wasn’t far behind at 281 and ESPN lagged further back at 329. Here is how each service did by recruiting class (lower is better):
Rivals dominated from 2002-2006 before Scout picked up a couple seasons in 2007 and 2008. With plenty of eligibility left for the 2009 class it’s still anyone’s game. Rivals has jumped out to an early lead for the 2010 class and the 2011 class is 60% comprised of Sammy Watkins and generally pointless at this point in its lifecycle. ESPN has failed to come close for any completed classes, although the 2009 class to date has been neck-and-neck between all three services with probably two-thirds of the results still outstanding.
Offensive Ratings-Weighted Average National Rank of Post-Season Honorees
ESPN finally picks up a win in the tightly contested quarterback evaluations. As you can see by the lower numbers, picking future all-conference quarterbacks has proved to be one of the easier tasks among rating services. ESPN’s average rank of 135 puts them ahead of both Rivals and Scout.
Scout does the best at wide receiver with Rivals a bit back. ESPN is not very close to the leaders at any offensive positions other than quarterback. Their results for both offensive linemen and running backs are particularly lacking.
Defensive Ratings-Weighted Average National Rank of Post-Season Honorees
It’s a clean sweep for Rivals on the defensive side of the ball. Scout is never far from, but still consistently behind, Rivals. ESPN is a distant third across all position groups, at least 20% higher than Rivals in every category and nearly 25% overall.
Conference Ratings-Weighted Average National Rank of Post-Season Honorees
The criticism of ESPN having an SEC bias and west coast neglect certainly shows up in the evaluations. SEC is the conference ESPN clearly wins and the ACC is a narrow win. All the other conferences are just carnage for ESPN while Rivals again takes a majority of wins. Scout is virtually tied for the Big Ten, Big XII and Pac-12 while lapping the field for the always crucial Big East rankings. It is difficult to tell whether the ESPN success is due to better rankings on players ultimately landing at ACC and SEC schools or if they are just giving a flat lift to those conferences. The fact that 1 in 3 players on the 2013 Top 150 are from Florida or Georgia probably indicates that at least some of the success comes from allocating preferential spots to players from the SEC footprint.
Here is how each service allocated their ranking slots to geographies. Higher rankings are weighted heavier and each player’s home state was allocated to one of the five major conferences (sorry Big East) based on their geography.
Players from ACC territory were the most consistently allocated across all four services. ESPN and 247 allocate fewer prime slots to the Big Ten versus Rivals and Scout. ESPN is a major outlier out west as the Pac-12 footprint garners much lower rankings there than at any of the other three. The SEC evaluations pick up about 40% from 247 and ESPN versus 35% and below from Rivals and Scout. This gap has narrowed some in more recent years, but there is still a strong bias from 247 and ESPN towards players from the SEC footprint.
In terms of ability to predict future success, Rivals stands out as the clear winner among all of the services. Scout is not significantly behind and has closed the gap in recent seasons. Rivals predictions proved more accurate at five of the seven position groups and overall for both sides of the ball. ESPN is a distant third in almost every sub-category with the exception being quarterback where they lead the most closely contested position group.
The services appear to be mirrored in their regional biases. ESPN and 247 slant to the Southeast and Mid-Atlantic regions with a clear sub valuation of the West Coast. Rivals and Scout don’t have dramatic swings to any one region but do give less value to the Southeast with the extra spread across the rest of the country.
While Michigan’s 11 [players in the...] Top 150 showing is absolutely a good thing, ESPN has proven to be the least reliable of the three established services. Historically, 30.5% of the weighted post-season honorees originally appeared in the ESPN 150 while Scout and Rivals have each had at least 34% in their Top 150’s. The differences aren’t massive and all sites have had their misses, but overall there is clear evidence that Rivals is the most consistently correct and that Scout is a strong #2. Although the individual players fluctuate, the overall ratings for Michigan’s class to date are essentially identical between Rivals, Scout and ESPN with 247 being lower on it than any other service.
Bonus: Protecting Conference Turf
Not looking at recruiting services but conferences now, I wanted to see which conferences did the best job of keeping the best players from their region in-house. Each state was split between conferences based on number of schools in a given state. States without BCS conference teams were excluded. This isn’t perfect because there is no way Cincinnati and the Big East have the same share of Ohio as the Big Ten and its school in Ohio. But it makes each school among the Big Six theoretically even and provides a good starting point.
|Conference||Total FP Pts||Split FP Pts||Signed FP Pts||Signed/ Total||Signed/ Split|
The Pts are an estimate of the total value of the recruits within a footprint. The total includes points for all players to any conference with a school in that region. The split is an allocation based on number of BCS conference schools in that state in each conference. Not surprisingly, the conferences with the smallest geographic competition, the Big XII and the Pac-12 signed the highest percentages of their available recruits. After splitting up the states, the SEC actually signs more than their allocation of the footprint. The Big Ten is close behind but work from a much smaller pool. If the SEC is able to make make gains in Texas (they currently have a 12% “share”) with the addition of A&M, the talent gap between the SEC and the rest of the conferences could widen.
We all know it matters. Otherwise there wouldn’t be four major recruiting sites, countless team-specific recruiting blogs and grown men tweeting and facebooking 17 year old high school males, and breathlessly refreshing message boards for the next 14 days.
The question I want to answer is how much does it matter, and where do the numbers play out the most? How much of team success can be predicted based on recruiting profile of the present roster (not the JUCO-stuffed 38 member SEC class that the majority never shows)? Do recruiting services do a better job of predicting offense or defense? Which is more likely to win you conference and national championships, the 5 star running back or the 5 star linebacker?
I have created a complimentary recruiting database that links into my PBP database. For a source I picked Rivals because I wanted to keep it relatively straightforward and they have a full 10-year history online. I only looked at the players who were ranked at their position. Each year that is about 1,000 players and virtually every signee from a major program. Anyone not ranked for their position was omitted. I only have comprehensive rosters for all teams for the last three years, so for that time period I did my best to link the two DBs together. I am sure there are a few that I am missing but I think I got all the Dee Harts linked up with Demetrius Harts and all the other weird things that happen to a recruit's name between recruitment and the official roster.
Each recruit is given an initial value. The value is roughly
[Percentile within position] * [# of stars] ^ 2
So a 5 star #1 at his position recruit is worth about 25 points and a 50th percentile 3 star would be worth 4.5 pts. The initial value is then adjusted based on how long the player has been in the program.
The recruits are then matched up with the final rosters. Players are only counted if they are still on the roster. So any players that have transferred, left school or gone to the NFL are excluded from the totals. The only major gap is transfers. For ones I knew of right away like Cam Newton or Ryan Mallet, they only count at their final school. Most other transfers will only show up at the original school for their time there and then disappear from the grid. Players are then given a “bonus” multiplier based on their experience. Players' initial values are doubled from their first year to their second year and tripled for every year after that.
That’s a lot fewer words than hours put in but in a nutshell, that’s the background for what I will show you below. The magnitude of the points isn’t relevant, all you need to know is the more points the better.
Answer Your Question Already
When you start talking to yourself within an article on mgoblog, there is only one appropriate response, CHART
Lot’s of variation within the numbers but definitely a strong correlation between recruiting points and team PAN [ed: points above normal, the Mathlete's SOS- and situation-adjusted stat]. For all the charts I put up the data will be BCS schools from 2009-2011. Recruits prior to 2009 will be included, but only the actual seasons of play from 2009 on.
There have been some really good seasons from teams with <1,000 pts like Oklahoma St this past season (896). There have also been some mediocre season from teams with 3,000+ points like Texas in 2010 (3,082 pts). But all in all more recruits is better, but we already knew that. So let’s dig a little deeper and see if recruiting rankings mean more for offense or defense and if any position groups are better indicators than others.
Who To Trust, Offense or Defense
Moving to specifics can become a bit more of a challenge. To ease that, I counted every recruit in the position they play, not the position that they are recruited for. They keep the same point total they would at the original position, it just counts in a different bucket. Whether its a WR moving to DB or an ATH finding a home, the points are set based on the initial group ranking, but they are allocated based on the roster position. On to the offense.
The correlation is still there, but it is much weaker for the offense as opposed to the team as a whole. In fact, most of the best offensive seasons were accomplished with relatively average recruiting talent. The ultimate loaded team, 2009 USC, only managed a 3.3 on offense with 10% pts more than any other team I have measured. Teams like the latest incarnations of Michigan and Oregon were able to achieve double digit offensive PAN without elite offensive recruiting classes.
Defensive recruiting is much more correlated with defensive success than offensive. The slope is nearly double and the R-Squared is much greater as well. There are still exceptions like 2009 Florida St who was almost –10 PAN despite over 1,000 defensive recruiting points. There is still success on the lower range but overall there are fewer failures at the top and less success at the bottom of defensive recruiting rankings.
Based on this data, system, player development and finding diamonds in the rough are more prevalent on offense than defense. On defense there is some variation but for the most part you are who you recruit. Unless you hire Greg Robinson and even your Never Forget roster still has 853 points to “earn” a –7 on the season.
The Best Position To Be In
Since the defense as a whole proved to be the most predictive, let’s look there first.
Being a good defense is all about your weakest link and based on that philosophy, you shouldn’t be surprised to see all positions play out relatively equal. None of the position groups is significantly better or worse than another at predicting defensive success.
Offense is where it really gets muddled. O-Line, tight ends and receivers all are moderate correlations between recruiting and offensive success and running backs (as I’ve stated elsewhere) are the most overrated position in football. Quarterback is far and away the highest correlation to offensive success of any position. Even with that QB, is still below all of the defensive positions when it comes to future success on that side of the ball.
How recruiting matches up with success varies greatly by conference. Rather than throw up six more charts, I just put the R^2 values in a table:
Recruiting has virtually no correlation to success over the last three years in the Big East and the PAC 12 but for the other four conferences it's anywhere from a little (Big 12, land of Red River and everyone else) to a lot (the ACC and the SEC).
The Big Ten is in the middle; Ohio St has dominated at the top of both recruiting and success but Michigan’s underachievement and Wisconsin and Nebraska having strong seasons without top tier recruiting classes have thrown in enough variance to disrupt the correlation.
Your 5 Star Takeaway
Recruiting rankings have a huge correlation to future team success, especially on defense. Great teams can come from average talent, but more talent typically means more success. On defense it is virtually impossible to build an elite defense without elite recruits, and its equally true across all defensive positions. On offense dreams of 5 star skill position players are fun, but coaching, player development, system and luck play a much bigger role in future success than they do on defense. With top 20 and higher recruits at nearly every position on defense, Michigan is poised for a very strong future if they can keep the talent around.
Back at the real job today after a great two weeks of football, ready to start cheering for the team I love, not just the one I
have money on like the uniforms better.
Virginia Tech Preview
PAN, National Rank (leader)
Michigan: +5, 4th (Oregon)
vs VT: +1, 40th
Michigan: +3, 29th (Baylor)
vs VT: +3, 22nd
Michigan: +1, 46th (Alabama)
vs VT: +2, 28th
Michigan: +1, 39th (Texas)
vs. VT: +2, 31st
Michigan: +0, 60th
vs VT: –0, 73rd
A pretty close match-up in all areas except when Michigan is rushing the ball. That’s likely the best avenue for Michigan to leverage. With arrests, suspensions and a late season Michigan surge, special teams could be an opening as well. This should be a close one but this game is Michigan’s to lose, 31-28 Michigan.
Ron Zook Memorial Dumb Punt of the Bowl Season
Haven’t had a chance to review all of the bowl games, but Wisconsin’s first quarter punt has to be the top contender. Two potent offenses, touchdowns on the first three possessions and the Badgers face 4th and 3 at the Oregon 38. Despite the best scrambling QB in college football and an offense geared to pound the ball on the ground against a defense that hadn’t stopped them in their first two drives, Wisconsin played field position. Against Oregon. Two plays later the Black Mamba is flashing chrome 91 yards for a TD in a 7 point Ducks win. Wisconsin is 22/30 on 3rd and 2-4 yards on the season in competitive situations.
Richt/Shaw/NFL Coaching Conservatory
This was just brutal watching teams play for field goals. It’s not a great strategy in the NFL where nearly all the kickers are money inside of 40 and pretty good from 40-55. College kickers, even the good ones, not so much. Here is the table I use to estimate kicker success. From the 25 even a top-notch college kicker is going to miss 20%, an average one is going to miss nearly half the time. Getting a single first down moves the odds significantly.
One other update to the Game Theory Manifesto that I tweeted about during the MSU/Georgia trying not to lose-fest, if you are in the lead and the other team has time-outs left, don’t run up the middle on third down unless you think that’s your best shot to get the first down. The clock is going to stop after your play no matter what. One extra timeout in your opponent’s pocket has very little chance of deciding the game. A first down in most cases will end or nearly end the game. Don’t be careless but if you have a dependable QB like Aaron Murray, throw the ball and give yourself a chance to end the game.
It’s not quite the fourth quarter against Notre Dame, but Saturday had as many ups and downs on the Win Chart as any we’ve seen this year.
We’ll go with 5 plays each this week to mark the occasion.
1. Play 112, 14.2%, Robinson to Odoms on 3rd and 11 to give Michigan the lead back for good while the OL gave Denard all day.
2. Play 163, 11.2%, Robinson to Dileo for 28 yards on Michigan’s final drive.
3. Play 22, 11.1%, Robinson runs for 41 yards to tie it up early.
4. Play 165, 9.5%, Robinson runs for 14 yards to keep the clock moving and the drive going late.
5. Play 137, 9.3%, the defense gets in the mix, stopping Miller on 3rd and Goal from the 2, leading to the FG instead of a touchdown.
1. Play 7, –12.8%, Miller goes deep for the first score of the game.
2. Play 95, –12.0%, Miller goes deep a second time to give Ohio a halftime lead.
3. Play 172, –8.8%, Steve Watson’s personal foul pushed 3rd and Goal from difficult to impossible and increases the degree of difficulty on an impending field goal.
4. Play 134, –8.6%, Miller goes for 23 yards to give Ohio 1st and Goal at the 5 late in the third quarter.
5. Play 74, –7.1%, Miller uses my favorite NCAA Football play with an athletic QB, the wrong way speed option for a TD.
Ohio Game Scores
Rushing: +12, tops in Big Ten play and behind only SD St and E Michigan on the year
Passing: +11, second only to Northwestern on the season
Rush Defense: –9, worst score of the season
Pass Defense: –7, only Notre Dame was worse
Special Teams: +3, the late field goal pushed this to the top of the list for this year
Denard: As I tweeted earlier this week, Denard had the 5th best game of any QB this year at +24. It was both his best passing (+13) and best rushing (+11) game of the season. It was only the 7th +10 rushing performance by any QB this year and the first to pair it with a passing number higher then +3!
Toussaint: +1, a solid but not spectacular day.
Miller: Braxton Miller is going to be a force. His +15 (+6/+9) was his best game of the year by 6 points. His three games have been his three best. Had Ohio gone with him from the start Ohio is probably has at least 8 wins now.
Saturday’s +23 was the 9th best opponent adjusted offensive game of the year for any team and the best game in BCS conference play.
Fired Coach Dumb Punt of the Week
Several good candidates this week. Clemson punting from the 35 late in the third trailing by two touchdowns. Ohio punting from the 36 trailing by 6 in the third. This week’s award goes to the $8 Million Dollar Man Mike Sherman who punted from the 41 twice in the second half, going on to blow their
42nd 6th lead of the season and losing the final chapter of the Texas-Texas A&M rivalry on a last second field goal.
Big Ten Projection Recap
Team: Pred W, Pred B1G W
Illinois: 8.0, 4.5
Indiana: 2.9, 0.6
Iowa: 7.8, 4.6
Michigan: 8.0, 4.8
Michigan St: 8.0, 4.7
Minnesota: 3.9, 1.2
Nebraska: 10.1, 6.1
Northwestern: 3.9, 1.7
Ohio: 9.3, 5.8
Penn St: 8.5, 5.2
Purdue: 5.7, 2.7
Wisconsin: 10.3, 6.3
That’s an average error of 1.4 games/team in total and 1.3 in conference play. Ohio was clearly my biggest miss, missing both numbers by about 3 games. Wisconsin was dead on and Iowa, Minnesota, Penn St and Purdue were all pretty close. I had the top and bottom of the Woody division correctly ranked but the middle was a mess. For the Bo division I swapped Nebraska and Sparty both nailed the other 4.
Nationally, picking conference winners went decently. Virginia Tech is favored in the ACC title game, along with other picks of mine like Wisconsin and Oregon. West Virginia is right in the middle of the Big East mess. If Alabama could make a field goal they would be playing for the SEC title and Oklahoma is playing for the Big XII’s BCS berth at bedlam.
In the smaller conferences, Tulsa, Toledo, Boise and Nevada all had shots but fell just short of championships while Troy wasn’t even close in the Sun Belt.
Advanced Metrics All-B1G
Offensive players are listed as PAN (per game)/WPA (total). OL is excluded because I have no stats specific to players. TE are evaluated solely on receiving. Defensive players are listed as Plays/Value (count and magnitude of plays made negative to the offense). Kickers and punters are cumulative for the season.
This is not meant to be absolute, but it is a ranking based solely on the advanced metrics, no judgment calls on my part.
Russell Wilson, Wisconsin +13/+3.4
Montee Ball, Wisconsin +5/+1.2 & Marcus Coker, Iowa +1/+0.7
Drake Dunsmore, Northwestern +3/+0.8
Jeremy Ebert, Northwestern +8/+2.1 & Marvin McNutt, Iowa +7/+1.3 & AJ Jenkins, Illinois +7/+1.3
Broderick Binns, Iowa 47/32 & Whitney Mercilus, Illinois 35/36
Devon Still, Penn St 45/28 & Johnathan Hankins, Ohio 50/21
Jonathan Brown, Illinois 75/41 & Lavonte David, Nebraska 59/29 & Gerald Hodges, Penn St 52/28
Josh Johnson, Purdue 33/21 & Bradley Roby, Ohio 21/27
Brian Peters, Northwestern 32/28 & Drew Astorino, Penn St 34/18
Dan Conroy, Michigan St +12.4
Ben Buchanan, Ohio +10
Denard Robinson, Michigan +7/+3.5
Fitzgerald Toussaint, Michigan +1/+.4 & Rex Burkhead, Nebraska +0/+.3
Jacob Pedersen, Wisconsin +2/+0.3
BJ Cunningham, Michigan St +7/+1.1 & Nick Toon, Wisconsin +6/+1.0 & Da’Jon McKnight, Minnesota +4/+0.8
John Simon, Ohio 40/25 & Michael Buchanan, Illinois 38/18
Mike Daniels, Iowa 40/22 & Akeem Spence, Illinois 40/18
David Nwabuisi, Northwestern 51/21 & Ian Thomas, Illinois 47/20 & Will Compton, Nebraska 49/18
Tavon Wilson, Illinois 28/17 & Ibraheim Campbell, Northwestern 25/17
Jordan Kovacs, Michigan 17/27 & CJ Barnett, Ohio 25/18
Brett Maher, Nebraska +11.8
Cody Webster, Purdue +8
Ryan van Bergen, Mike Martin and Kenny Demens all narrowly missed spots on the second team defense.
Don’t know if articles will be coming weekly, but I have a number of articles and ideas in the hopper for the pre and post-bowl season.
A bowl game preview
The promised Game Theory Manifesto
A 4th down redux, a more detailed look at fourth down decision making with an added tool of offensive and defensive strength sliders for dynamic decision making.
A critique of success rates and the concept of “staying ahead of the chains”
A semi-related post on why I think the running back position is overrated
A more detailed looks at the EV and WPA implications tied to UFR.
EV and WPA by coaches and if I can find a good source of history, coordinators, as well.
Some recruiting themed posts around signing day on the back of a massive recruiting database I am building on the back of my play by play database. I think there is a lot of potential here, just don’t know if I can pull it off.
Any user submitted ideas that are sure to be better than what I have listed so far.
Play 18, +13.4%, Robinson to Roundtree for 46 on 3rd and 8
Play 73, +6.6%, Robinson scores from the 14 on 3rd and 1
Play 52, +6.3% Robinson to Hemingway for 26 on 3rd and 6
Play 46, –11.1%, Martinez to Kinnie for a 54 yard TD
Play 59, –7.6%, Brett Maher hits a 51 yard FG
Plays 54/55, –7.1%, Terrence Moore intercepts Denard (-5.1%) and returns it to the Michigan 34 (-2.0%)
It’s nice to see Denard re-claim the top 3 with both running and passing, all on big third down plays. Also good, when the second most negative play of the day was one that (at that point) was one you had no control over.
Nebraska Game Scores
Rushing: +1, not spectacular but effective
Passing: +9, second only to Northwestern, a very efficient performance
Rush defense: +2, didn’t allow Nebraska to do enough to set up the pass
Pass defense: +3, since ND, no games worse than -2
Special Team: +1, positive for the 4th straight game, even without counting the fumbles
Denard: +14 overall, +11 passing and +2 rushing, only Northwestern and ND were higher at +15
Toussaint: –3, final TD considered garbage time, would have pushed him to par
Martinez -4, +0 pass, -4 rush, his worst game of the year and first negative in the Big 10
Burkhead: +0 on his fewest carries of the year
Heisman and Award Tracking
My top 3 Heisman/QB:
1. RG3, Baylor: +3.39 WPA (2nd), +13 PAN (1st)
2. Russell Wilson, Wisconsin: +3.24 (3rd), +13 (2nd)
3. Kellen Moore, Boise St.: +1.77 (24th), +11 (4th)
Denard Robinson: +2.50 (7th), +5 (28th)
Robert Griffin’s big game against Oklahoma propelled him into the number 1 spot over Russell Wilson. Case Keenum is right in the mix, as well, but Kellen Moore gets the third spot thanks to the games against Georgia and TCU. Andrew Luck remains absent based on his good but not great resume.
1. LaMichael James, Oregon: +.69 (9th), +3 (3rd)
2. Joseph Randle, Oklahoma St: +.39 (24th), +3 (5th)
3. Montee Ball, Wisconsin: +.67 (10th), +3 (7th)
Trent Richardson, Aabama: +.29 (34th), +2 (11th)
Fitz Toussaint: +.22 (40th), +1 (41st)
As you can see from the magnitude of the RB numbers versus the QB numbers, I just can’t justify putting an RB on my Heisman ballot.
1. Kendall Wright, Baylor: +1.94 (4th), +9 (2nd)
2. Gerell Robinson, Arizona St: +2.47 (1st), +8 (7th)
3. Sammy Watkins, Clemson: +1.40 (12th), +8 (4th)
Sammy Watkins has slumped as the season as progressed and Gerell Robinson has come on strong of late. Justin Blackmon’s season has still been strong but nowhere near the dominance he had last year. Former Michigan opponents Jordan White and Jeremy Ebert where near contenders.
1. Ronnell Lewis, Oklahoma
2. Whitney Mercilus, Illinois
3. Devon Still, Penn St
1. AJ Johnson, Tennessee
2. Danny Trevathan, Kentucky
3. Johnathan Brown, Illinois
1. Tony Jefferson, Oklahoma
2. Antonio Allen, South Carolina
3. DeQuan Menzie, Alabama
Defensive players are rated based on how many negative EV plays they make and the magnitude of those plays. They are then divided by the number of non-garbage time plays the entire defense has faced so teams that force a lot of three and outs aren’t punished.
Ron Zook Dumb Punt of the Week
Some tough calls this week. Notre Dame and BC both punted from inside the 45 with less than 5 yards to go in the second half, twice! Even though that game was an ug-fest both coaches get awarded dumb punt of the week.
Normally, I would have given the award to Mack Brown at Texas for punting from the 45 on 4th and 5 down 7 in the fourth quarter to Kansas St, but when your defense only gives up 120 yards for the game there is a defensible case for it.
The Game Preview
My son just turned three and he is starting to watch a little bit of football now. He always wears his jersey and says “Go Michigan” and asks every morning if today is a football day. I started getting nervous a couple weeks ago when watching other games he started telling me “I like the red team” for any team with red uniforms. This could not stand. So I started telling him that the red team was bad and he like Michigan. Yesterday I gave him a test and asked him if he liked Michigan or the red team, he yelled “Michigan!” and then told me, unprompted, that the red team is sad. I hope he is right, they deserve to be very, very sad.
PAN, National Rank (leader), B1G Rank (leader)
Michigan: +4, 10th (Georgia Tech), 2nd (Wisconsin)
vs Ohio D: +1, 38th, 6th
Michigan: +2, 41st (Boise St), 5th (Wisconsin)
vs Ohio D: +4, 15th, 3rd
Michigan: +2, 25th (Alabama), 4th (Illinois)
vs Ohio O: +1, 34th, 4th
Michigan: +2, 36th (Oklahoma St), 6th (Penn St)
vs Ohio O: –4, 109th, 12th
Michigan: +0, 74th (Florida St), 8th (Purdue)
Ohio: +2, 23rd, 3rd
A one-dimensional offense against Greg Mattison, yes please. Limit the turnovers and don’t allow any big special teams plays and I think the streak is over. Michigan 28-20