fair point that
I haven't seen anything like this on the board yet so I composed something I thought you would all enjoy. I put together a list of Stanford players selected in the NFL Draft who played for Harbaugh, was recruited by Harbaugh, or both. I used 247 recruiting info. If a player has a year next to his recruiting info (e.g. 2008), that means he was recruitied under Harbaugh. Jim played at least some role in the 2007 and 2011 classes, while having a total role for the 2008-2010 classes. If no class is written, the player was not recruited by Jim but played for him.
2008 NFL Draft
2009 NFL Draft
2010 NFL Draft
RB Toby Gerhart. 2 (51) Minnesota Vikings
3* FB 0.8579 NTL: 393 POS: 7
TE Jim Dray. 7 (233) Arizona Cardinals
3* TE 0.8889 NTL: 197 POS: 10
DE Erik Lorig. 7 (253) Tampa Bay Buccaneers
4* TE 0.9000 NTL: 151 POS: 7
2011 NFL Draft
DT Sione Fua. 3 (97) Carolina Panthers
3* DT 0.8778 NTL: 278 POS: 27
FB Owen Marecic. 4 (124) Cleveland Browns
2007 2* FB 0.7745 NTL: NA POS: 21
CB Richard Sherman. 5 (154) Seattle Seahwaks
3* ATH 0.8389 NTL: 605 POS: 46
WR Ryan Whalen. 6 (167) Cincinnati Bengals
No info. Probably a walk-on.
WR Doug Baldwin. UFA Seattle Seahawks
2007 2* WR 0.7778 NTL: NA POS: 157
2012 NFL Draft
QB Andrew Luck. 1 (1) Indianapolis Colts
2008 4* QB 0.9768 NTL:43 POS: 3
G David DeCastro. 1 (24) Pittsburgh Steelers
2008 3* OC 0.8847 NTL: 297 POS: 5
TE Coby Fleener. 2 (34) Indianapolis Colts
2007 3* TE 0.8333 NTL: 738 POS: 40
OT Jonathan Martin. 2 (42) Miami Dolphins
2008 3* OT 0.8620 NTL: 442 POS: 41
WR Griff Whalen. UFA Indianapolis Colts
2008 NR WR NA NTL: NA POS: NA
2013 NFL Draft
TE Zach Ertz. 2 (35) Philadelphia Eagles
2009 4* TE 0.9090 NTL: 193 POS: 5
TE Levine Toilolo. 4 (133) Atlanta Falcons
2009 4* TE 0.9117 NTL: 181 POS: 3
RB Stepfan Taylor. 5 (140) Arizona Cardinals
2009 4* RB 0.8961 NTL: 239 POS: 22
2014 NFL Draft
LB Trent Murphy. 2(47) Washington Redskins
2009 3* WDE 0.8347 NTL: 979 POS: 34
OT Cameron Fleming. 4 (140) New England Patriots
2010 3* OT 0.8600 NTL: 554 POS: 38
G David Yankey. 5 (145) Minnesota Vikings
2010 3* OT 0.8600 NTL: 560 POS: 39
S Ed Reynolds. 5 (162) Philadelphia Eagles
2010 3* S 0.8250 NTL: NA POS: 83
RB Tyler Gaffney. 6 (204) Carolina Panthers
2009 4* FB 0.8955 NTL: 247 POS: 2
DE Ben Gardner. 7 (231) Dallas Cowboys
2009 2* SDE 0.7667 NTL: NA POS: 114
TE Ryan Hewitt. UFA Cincinnati Bengals
2009 3* TE 0.8472 NTL: 786 POS: 35
2015 NFL Draft
OT Andrus Peat. 1 (13) New Orleans Saints
Not in a Harbaugh class.
S Jordan Richards. 2 (64) New England Patriots
2011 3* ATH 0.8755 NTL: 382 POS: 23
CB Alex Carter. 3 (80) Detroit Lions
Not in a Harbaugh class.
DE Henry Anderson. 3 (93) Indianapolis Colts
2010 3* WDE 0.8558 NTL: 629 POS: 34
WR Ty Montgomery. 3 (94) Green Bay Packers
2011 4* WR 0.9026 NTL: 231 POS: 30
NT David Parry. 5 (151) Indianapolis Colts
2010 NR DT NA NTL: NA POS: NA
5* drafted—0 (0 5* players recruited)
(Includes UFAs. Excludes Andrus Peat and Alex Carter.)
(Excludes Andrus Peat and Alex Carter.)
Two years ago, we were fortunate enough to be in South Bend to watch Michigan defeat Notre Dame. It was a great college football atmosphere. We were sitting in the middle of ND established fan seating, as we were guests of friends whose child is on the ND band. Though we were dressed in maize and blue, the spirit of good sportsmanship and prevailing sense of a common love of the game (with deserved mutual respect for each other's programs) meant we had a good time among the ND faithful.
Fast forward to THIS year, and the atmosphere was different. We should have been tipped off by the abc.com article the Friday before about ND's efforts to make their home field louder and more advantageous. Still, we were surprised when the game commenced and the amount of pumped in music was DRAMATICALLY louder.
But, hey, we're used to noise in the Big House, right?
Yet we AREN'T used to piped in music being played CONSISTENTLY even AFTER the opposing QB had STARTED HIS SNAP COUNT. In fact, I had NEVER seen that happen consistently at any football game I had previously attended, on ANY level.
The shenanigans didn't stop there: our friend's child on the ND band told us after the game that, for the first time ever, their band was microphoned the week prior as a warmup to Michigan.
For the Michigan game, ND used DOUBLE the microphones from the week before. All for the sake of amplifying the crowd noise, and irresponsibly TIMING the amplification beyond decent sportsmanship.
Why am I (re)writing about this now? Because throughout that game, we heard repetitively fake ref whistles coming from the crowd. They were subtle enough that they were hard to precisely localize, but they seemed to come from the same part of the field. And occurred throughout the entire game. I had supposed that the whistle was too faint to effect gameplay, because the refs weren't commenting on it... ... until the second half, wherein Michigan fans will no doubt recall the refs threw a flag against Michigan on either a false start or offside, but took the unusual step of announcing that there would be no penalty assessed against Mich due to a whistle from the crowd causing undue/unfair confusion.
No formal penalty nor warning was issued to the fans in attendance by the refs as was their responsibility.
Now, I recognize as much as the next football fan that when you have six turnovers, well, you get what you get and to blame the refs for the loss is tacky. So I'm not doing that.
But after tonight's Stanford game in South Bend, wherein, ESPN writes, "The Irish got a stop on third down, though the Stanford players CONTENDED THEY HEARD A WHISTLE ON THE PLAY AND STOPPED PLAYING.. They settled for Williamson's field and a three-point lead," given how critical that stop turned out to be, well, it seems something stinks in South Bend.
Once again, the refs failed to act, and in so doing, merely encouraged fake whistles in the future.
I've never seen a PATTERN like this before of outrageous lack of integrity. Isolated episodes? Yes, of course. But repeated stuff like this? No.
Am I being naive, and this fake whistle / amped music during snap count / overamplifying home band-stuff happen ALL THE TIME, and I'm only noticing it now? Because I've been to a ton of games at multiple levels and not seen this repeated crap before.
Am I the only one seeing this?
Are there other (in)famous examples of habitual stretching of "home field advantage" to questionable limits?Is this cheating?
If Ok St. jumps Alabama to get into the BCS NCG vs LSU, assuming Michigan is a BCS qualifier, what does that mean for us? The first thing it means is that Alabama is guaranteed a spot in the Sugar Bowl as there is an SEC tie-in. That also means the Fiesta Bowl has the first TWO choices. They have the first choice as a replacement pick for Ok St. and the next pick as their regular selection (Fiesta, Sugar, Orange).
Does the Fiesta select Michigan and Stanford? I guess another way of putting it is CAN the Fiesta select BOTH Michigan AND Stanford? Does the Rose Bowl have an exclusive in the BCS on a B1G-PAC12 matchup (aside from the NCG. If Alabama does not go to the NCG, there is a very good possibility that the FIESTA picks Michigan. Who would they be paired with. My guess is K-State for the same reason Alabama would go to the Sugar.
no comment. (I made my position clear back during the OSU game)
Coaching Change / Offensive Philosophy Change: Time of Possession v. Defense
I originally wasn’t going to post this because I thought it was just a question in my own head, and I didn’t find a signficant result. However, given the top item in Brian’s mailbag today, and since I had already done the quick analysis, I thought it would be worthwhile to share.
The question had to do with whether Michigan’s struggles on defense were related to the fact that its offensive philosophy often results in short possessions, exposing the defense to being on the field for a longer period of time. So I decided to see if there was a correlation between a team’s offensive Time of Possession and its defense.
R-squared is 0.03 - not significant.
“Ok,” I thought, “maybe the way that DFEI is calculated already takes Time of Possession into account. What if we looked at Time of Possession versus Total Defense (yards)? Surely there would be a correlation, especially since defenses that force short possessions by the opponent (3-and-outs, turnovers, etc.) would result in more possessions by their team’s offense, and more Time of Possession.”
R-squared is 0.14 - still not really significant.
“Fine,” I said, “maybe I should look at Time of Possession versus Scoring Defense - because that’s what really counts. An offense that can control the ball can help protect its defense, and keep the score down."
R-squared is 0.06 - not significant.
Finally, I reached back into one of the motivations for looking at this question to begin with. Why would anyone talk about Time of Possession on offense as if it were an important factor on defense, especially with respect to Michigan? Could it be because Stanford leads the country in Time of Possession, and one might try to argue that a CC that shifts the offensive philosophy towards a more ball-control, time-of-possession system would be a good way to help Michigan’s defense?
So what if we looked at the Change in Time of Possession from last year to this year, and compared it to the Change in Total Defense (least insignificant result from above)?
R-squared is 0.14 - still not really significant.
What this says to me is that there are too many variables that influence how a defense performs; one cannot boil it down to a simple thing like Time of Possession (or experience on a depth chart, for that matter). All of those factors may play a part, but no one individual factor is significantly correlated to a team’s performance on defense. Football is just too complex to boil down into simplistic truisms.
***** ADDENDUM *****
A related question has been raised - whether there is a link between the number of possessions and the performance of the defense. I used cfbstats.com to add up the number of 4th down conversion attempts, punts, passing TDs, rushing TDs, FG attempts, Interceptions thrown, and Fumbles lost to calculate the total number of offensive possessions (this may exclude offensive possessions at the end of each half where time simply runs out, and does not differentiate between an offense trying to score v. trying to run out the clock).
Looking at Offensive Possessions versus Defensive FEI:
R-squared is 0.004 - not significant.
What about Offensive Possessions versus Total Defense?
R-squared is 0.13 - still not really significant.
Finally, what about Offensive Possessions versus Scoring Defense?
R-squared is 0.12 - again, still not really significant.
Obviously, if the underlying parameters of a model do not show correlation, one should not expect a calculated value based on those parameters to show a correlation. Nevertheless, for the sake of completion, here is the Average Time per Possession versus Total Defense:
R-squared, as expected, is still only 0.12 - not really significant.
I'm afraid even looking at number of possessions rather than simply time of possession doesn't change the analysis. This suggests to me that the style of offense does not have a significant impact on the performance of the defense.