Is Beyonce an M fan?

Is Beyonce an M fan?

Submitted by superstringer on September 9th, 2013 at 1:39 PM

I had no idea Beyonce was a fan of the program... and I still don't know.  She's from Texas; no particular reason she would have grown up rooting for us.

Did she do that video because she actually is a fan, or because someone told her our band was doing her songs on national television so she could get some free facetime, but in a more positive way than Eminem.

Is there a backstory here, anyone know?

And here I thought Madonna was our chief cheerleader in the music industry.  Hey tOSU, who you got?  Didn't think so.

UConn Kick-off NOT announced

UConn Kick-off NOT announced

Submitted by rb4kb8 on September 9th, 2013 at 1:24 PM

This is absolutely ridiculous for people who are going.  Not only are we impatient...but six or five days to make plans... is NOT easy.

 

Apparently AAC (American Conference) wants to hold out.

ESPN says announcment next Monday:

http://espn.go.com/blog/bigten/post/_/id/83419/b1g-kickoff-times-tv-plans-for-week-4

 

UConn's twitter feed says annoucement Saturday night.

It appears it'll either be a Noon or 8pm kickoff with ABC/ESPN televising.

Introducing MOVE Ratings

Introducing MOVE Ratings

Submitted by 1464 on September 9th, 2013 at 12:33 PM

For the past few years, I have attempted to create an objective look into conference superiority.  I was sick of the SEC love, and felt that I could develop a metric which allowed for an accurate indication of how the conferences stacked up, sans TV contracts, media bandwaggoning, and regional affiliation. 

Before, I used a method that assigned points to each conference based on the W/L percentage of the conference they beat, which I called CPR (Conference Power Ranking).  The more I picked over it, the more I realized that the CPR had one fatal flaw - beating Purdue was exactly equal to beating Ohio State or Michigan.  It assigned the same number of points.  My argument was that over the course of a season, those would balance out, but that was a pretty hollow argument.

This year, I've come up with what I consider a better method of tracking conference power, which I have dubbed the MOVE Rating.  Sounds sweet, right?  That's because a metric is only as good as it's acronym (Margin of Victory Evaluation).  Has a nice ring, right?

So what is MOVE?  Because of a small sample size (10-20 out of conference games against a BSC Qualifier for each conference), I set out to attempt to make every game an average vs. average scenario.  I feel I have achieved this by using the following formula to handicap the games:

-(Team CMARG-Opponent CMARG*) + AM = MOVE POINTS

*expressed as the EM or expected margin

In this formula, CMARG represents a team's "conference margin" (margin of victory, but a negative number represents an average loss) in that school's conference.  So To give an example, Michigan's CMARG over B1G schools last year was 16.38.  This means that Michigan beat the "average" B1G team by 16.38 points.  That formula is simple, add up all the margins of victory, including negatives, and divide by the number of conference games.  Instant CMARG!  So since Michigan won by 16.38 over the average B1G team and Alabama won by 24.12 over the average SEC team, the EM (expected margin) of that game was Alabama -7.74.  The final tally saw Michigan lose by 27. 

That is represented by this for Michigan:

-(16.38-24.12) + -27 = -19.26

and this for Alabama:

-(24.12-16.38) + 27 = 19.26

What that boils down to is that the AVERAGE SEC team was 19.26 better than the AVERAGE B1G team, according to the results of that match.  This also accounts for bad teams.  Por ejamplo, Illinois lost to Arizona State by 31 points.  The MOVE Rating on that game saw Illinois lose 0.40 points for the B1G, as Illinois was expected to lose by 30.6 points, the EM on that game.  Their CMARG was -23.38, while Arizona State's CMARG was 7.22.

So now that you see a couple of games worth of MOVE ratings, all you have to do is throw all of a conference's MOVE scores in a pot and divide by the total number of games to receive a MOVE rating for the conference.  It's important to note that I am only evaluating the 5 auto-qualifying conference at the time being.  I may expand my data to the entire FBS if I have enough time.

Now, there are still some flaws to this system.  It does consider each conference to be equal, so if your conference plays a bunch of ACC schools, there will be a bit of a uptick in your MOVE as compared to if your conference plays a bunch of SEC schools.  I plan to mitigate that in one of two ways - either take all the conference vs. conference MOVE ratings and divide by 4, or by comparing the MOVE rating for each game compared to the opposing conference MOVE rating, find the difference, then assign a "MOVE2" rating.  How much did you beat a team by MORE than the average team beat that conference?  For the time being, we will just allow the MOVE rating to stand on it's own.

Ready to see some numbers?  I decided that to test my system, I would go back to 2012 and plug in all the data.  Let's just say I was disappointed with the results.

 

Here's your first look at actual data.  It's listed in decending order by the MOVE scores.  What it says is that the SEC is, on average, two touchdowns better than the average AQ team.  Yikes.  Also notice that aside from the dismal ACC, the B1G did not do well.  Not well at all.  What happened to me disproving the superiousness of the SEC or the baditude of the B1G?  I'll go conference by conference, but first a couple of notes.

GAMES = Number of games played against AQ schools, including bowls.
W% = Win percentage in those games.
MARG = Average margin of victory (or loss) in said games.
MOVE = Average MOVE score in those games.

- Having a MARG that is noticeably higher than your MOVE indicates that, on average, you are sending out your better teams to play against inferior opponents.  For the B1G, think the opposite of "Rose Bowl, Illinois vs USC".

- If you add up all the MOVE scores in this chart, it will not equal 0, however if you multiply the GAMES by the MOVE, then divide by the total number of GAMES, it will be close.  It does actually 0 out for auditing, but the fractions are rounded, so the number is a bit off.

On to the conferences...

 

- The ACC looks worse than they actually are, as more than half of their games are against the SEC.

- Their best performance was actually a 9-point Boston College loss to Northwestern.  BC was a 22-point dog, as Nortwestern was good and BC lost to a weak ACC by an average of 15.25.  They gained 13 points in that matchup, despite walking away with a loss.

- The most out of whack stat?  A 7-point Clemson win over Auburn netted an ugly -36.  That's because Auburn was a 43-point dog, after being smashed by the SEC and playing a Clemson team that went 7-1 in the ACC for an average CMARG of +19.13.

 

(As the B1G is our conference, I will go team by team.  It's... not pretty.)

Illinois - As mentioned before, Illinois lost by 31, and yet still almost broke even against an undermatched Arizona State team.  They netted -0.40 MOVE on the year.

Indiana - Did not play an AQ school all year.  Sadly, this made them the B1G's third best performing team, as 9 B1G teams scored a negative MOVE score.

Iowa - Netted a 0.04 for the year for losing by 3 to an Iowa State team that performed only slightly better in the Big 12.  They finished second in the entire B1G in MOVE.  With a 0.04.  Maybe the ESPN talking heads were right...

Michigan - With great power comes... a 16.38 CMARG.  This caused us to lose 19.26 points to Bama, and 13.88 points to South Carolina.  We were actually 8.88 point favorites in the SCar game, as their CMARG was only 7.5 in the SEC.  The problem with being the big boys in a conference is that you have to produce.  We did not, even in a close loss to SCar.  Our MOVE for the year, fourth worst in the conference with -16.57.

Michigan State - A 1-point win over TCU in their bowl game netted a -1.25 on the year.  Both MSU and TCU were very close to average, with MSU gaining a 1.25 CMARG and TCU holding a -1.00 CMARG for the year.

Minnesota - Conference MOVE champion!  Minnesota represented the B1G better than any team, by averaging a -10.38 CMARG, while falling to Texas Tech by only 3 points.  This gave Minnesota a 1.82 MOVE rating on the year.

Nebraska - In a word, bi-polar.  How else do you explain a CMARG of -0.33 while going 7-2 in the B1G?  Oh yeah, giving up 70 to Wisconsin and  63 to OSU will do that.  But it is worth repeating, Nebraska went 7-2 in the B1G last year and STILL managed to have a negative margin of victory.  That's amazing.  Overall, they perfomed to expectations in their OOC schedule, losing to UCLA by 6 but gaining a fraction of MOVE (EM was -6.03) and giving a fraction of MOVE to Georgia by losing the bowl game by 14 (EM was -13.56).  They finished at -0.21.

Northwestern - Won all three of their games, but due to an un-NW like 5-3 record in conference, gave up -1.33 MOVE.  NW exceeded expectations against Vandy and Miss State, but lost -13 MOVE points to BC in their 9-point victory.

Ohio State - The expected margin of the Cal game was 25.25, but they only won by 7.  Good for the third worst MOVE in the league, at -18.25.

Penn State - Speaking of bad, PSU gave -21.75 MOVE to Virginia in the 1-point loss.  The EM on that game was 20.75.   The -21.75 was their total on the year, good for second worst in the B1G.

Purdue - Bad.  They managed to go -25.72 on the year by losing to Oklahoma State by 44.  Worst in the conference.

Wisconsin - Charitable to the PAC-12.  In two losses close losses, they gave double digit MOVE points to both Oregon State and Stanford.  Finished with a -10.67 MOVE.

 

- Second only to the SEC in MOVE.  They actually outperformed every conference they went up against, even though they had the average of a 3-point loss to the PAC-12.

- Baylor and Texas led the way with 28.03 and 24.34 MOVE ratings, respectively.

- The low point of the year saw Oklahoma State, a 2-TD CMARG favorite lose to Arizona by 21, good for a -35.11 beatdown.  Oklahoma State, clearly concerned about how this would affect their MOVE, then throttled Purdue by 44.

 

- The MARG was higher than the MOVE for the PAC-12 in each conference they played.  This is because bottom feeders Colorado, Washington State, and Utah all played no AQ schools. 

- A 2-8 PAC-12 team in Cal lost to OSU by 7, gaining 18.25 points for the PAC-12.  The aforemetnioned  Arizona was the big winner though, getting 35.11 points for their 3-TD victory over Oklahoma State.

 

- All (begrudgingly) hail your power conference.  The SEC was 12-5 against AQ schools and on average, an SEC school is worth 2-TD more than their non-SEC equivalent.  That really hurts me to write.  The good news is that the SEC is looking far weaker this year.

 

So... 2013?

I won't be releasing any MOVE data this year until November, as the stats don't mean much until we get deeper into conference play.  The good news is that the B1G has already gone 3-0 against AQ schools.  Last year, it was 5-11 (the Lions special) all year.  So going 2-11 will be a push type thing.  OSU whould beat Cal, from there we only need 1-2 wins to exceed last year.  The SEC will also see a big dropoff, as heavyweights Georgia and Florida have already lost OOC.  As they are expected to do well within the SEC, that will translate to losing points as well.

The Ominous Counter Gap

The Ominous Counter Gap

Submitted by CLord on September 9th, 2013 at 12:01 PM

Mattison’s bend-but-don’t-break scheme Saturday was maddening, but ultimately panned out with two key interceptions and one turnover on downs.  The bend appeared to be a scheme where we sacrificed bodies for the pass rush in exchange for keeping everything in front.  Forgivable also given that Reese appeared prepared to check down the few times he smelled blitzes, and managed them successfully.  So our defensive game plan made sense, except for the part where we had no answer whatsoever for the counter gap.  ND gashed us repeatedly right up the gut, as their right guard constantly pulled and buried, typically Ross, while their center and left guard moved our nose tackle to off to the right, leaving a lovely gap for 8-12 yard gainers.

What we saw today is precisely what we are going to see from Ohio, and what we saw from them last year.  They counter gapped us to death, and Miller checked down off of our blitzes.  Now for the upcoming Ohio game, I envision the same bend-don’t-break defense given Miller’s speed.  Our opposing QB will trade a little accuracy (Reese > Miller) for a ton of athleticism and escapability, which to me, is far more scary (nightmares of Troy Smith still dance in my dreams), and I’m comfortable our scheme will keep Miller in check, but how will we solve the counter gap?  It gashed is last night, I’m surprised ND didn’t resort to it more, and flat out I no likey.

Gallon named B1G Offensive Player of the Week

Gallon named B1G Offensive Player of the Week

Submitted by Paps on September 9th, 2013 at 11:08 AM

Gallon was named Big 10 offensive player of the week with his 184 yard, 3 touchdown performance vs Notre Dame.  

Also, MSU DE Shilique Calhoun was the defensive player of the week after scoring 2 defensive touchdowns (thats the MSU offense, sadly), and Marcus Jones (Minny) and Akeem Hunt (Purdue) shared the special teams player of the week honors after returning kickoffs for touchdowns this week.

ND Alternatives?

ND Alternatives?

Submitted by Ron_Lippitt on September 9th, 2013 at 10:29 AM

As the sun sets on the Notre Dame rivalry, there's been a lot of talk as to which powerhouse program could potentially replace the Irish on a consistent basis.  Brandon has already scheduled a "home and home" series with Arkansas in 2018/19 :(http://www.mgoblue.com/sports/m-footbl/spec-rel/110612aaa.html

You have to wonder if Brandon is looking squarely at the SEC for something long-term, or if he plans on filling the gap on a yearly basis with the most compelling match-up available. And then there's the Texas factor, which many of us believe has always been the ultimate goal for the B1G.  Whatever the strategy is, I have to believe that Brandon has a gameplan for adding credibility to our schedule outside of B1G play.

Or, is it the better move to fill the void with mid-level opponents in the hopes of an unblemished B1G run?

Fitzgerald to USC or Texas?

Fitzgerald to USC or Texas?

Submitted by massblue on September 9th, 2013 at 10:22 AM

I have seen a few tweets and this article from Chicago regarding potential opennings at USC and Texas and whether Fitzgerald would take one of these two jobs.  I think USC is more likely as it is a private school similar to NU.  The policitcs of Texas program is tough to handle for a total outsider.

 

Link

OT: CBS to have "Johnny Cam" for Bama-A&M game

OT: CBS to have "Johnny Cam" for Bama-A&M game

Submitted by Lionsfan on September 9th, 2013 at 9:50 AM

Headline says it all. CBS has decided to put a single camera on Johnny Manziel for Saturday's game.

No matter where he is and no matter what part of the game it is, we will have a shot of it,” said Craig Silver, CBS’s coordinating producer of college football, told (Richard) Deitsch. “If he is anywhere in sight of that camera, we will catch it.”

The guy is not perfect, but this is absolutely ridiculous. I can't think of any other player in recent history receiving this much scrutiny.

Link

Scoreboard Bugs

Scoreboard Bugs

Submitted by RakeFight on September 9th, 2013 at 9:40 AM

Any insiders or tech-gurus have any thoughts as to why the stats portion of the Michigan Stadium scoreboards continues to be inaccurate when it's even operational?  

I'll admit that I haven't gone to that many games since they went up for the 2011 season, but I can't recall a game when they worked for the entire game, if at all.  So that's three years that these things have not worked properly.  As a fan with seats low in the bowl, it's frustrating to not be able to know the down and distance.  As an alum, it's a bit embarrassing with all the brains at this university that somebody can't figure out how to get accurate numbers to project on a screen and update in near real time.