This is probably a bad idea right now the way people are divided and I'm not making this comparison with negative intentions (though for Rich Rodriguez supporters, just mentioning the name John L Smith is bad enough, the guy's reputation is radioactive). And just for full disclosure I'll say up front that I would be in favor of getting rid of Rich Rodriguez and replacing him with Harbaugh.
All that said, this probably won't go over well but all I'm really trying to put forth is the stats (and let people draw their own conclusions). Maybe this against my better judgement and I'm just asking for trouble/being overly provactive. All I can say is that I'm not intentionally starting to stir up trouble. Going to try and just present the data and let people draw their own conclusions. With that said, I think the year three comparison of the two coaches is troubling.
Went with this comparison for three reasons
1) John L Smith represents the worst case scenario. Those who want to get rid of Rich Rodriguez fear that we just have another version of John L Smith (whether this fear is justified or not). Someone who gets the job done on the offensive side of the ball, but who can't build a complete team. And to be clear, there's no definitive answer here.
2) Easy comparison because John L Smith is someone who most Michigan fans are pretty familiar with.
3)From what I remember (and my memory of the John L Smith years has faded a bit) there were similiar kinds of problems. Good offense, bad defense (especially secondary wise). Had the tendancy to start the season well, but fade once MSU hit the meat of their schedule.
Below are relevant stats that I've pulled
Record for three years before Rodriguez or John L Smith
|MSU||U of M|
Year One Comparison
|John L Smith||Rich Rodriguez|
|Record||8-5 (started 7-1)||3-9|
|Total Yards||367.38 yards per game (73rd)||290.75 yards per game (109th)|
|Passing Yards||270 yards per game (23rd)||143.17 yards per game (108th)|
|Rushing Yards||97.38 yards per game (111th)||147.58 yards per game (59th)|
|Points||27.92 points per game (49th)||20.25 points per game (101st)|
|Total Yards||379.92 yards per game(62nd)||366.92 yards per game (67th)|
|Passing Yards||255.15 yards per game(97th)||230 yards per game (87th)|
|Rushing Yards||124.8 yards per game(27th)||136.92 yards per game (50th)|
|Points||22.5 points per game (40th)||28.92 points per game (84th)|
Year Two Comparison
|John L Smith||Rich Rodriguez|
|Record||5-7||5-7 (started 4-0)|
|Total Yards||460 yards per game (10th)||384.50 yards per game (59th)|
|Passing Yards||221.50 yards per game (51st)||198.33 yards per game (81st)|
|Rushing Yards||238.50 yards per game (10th)||186.17 yards per game (25th)|
|Points||29.42 points per game (38th)||29.50 points per game (41st)|
|Total Yards||381.42 yards per game (42nd)||393.33 yards per game (82nd)|
|Passing Yards||209 yards per game (54th)||221.42 yards per game (67th)|
|Rushing Yards||172.42 yards per game (73rd)||171.92 yards per game (91st)|
|Points||27.17 points per game (72nd)||27.50 points per game (77th)|
Year Three Comparison
|John L Smith||Rich Rodriguez|
|Record||5-6(started 4-0)||7-5 (started 5-0)|
|Total Yards||497.27 yards per game (5th)||500.92 yards per game (6th)|
|Passing Yards||295.45 yards per game (11th)||249.83 yards per game (34th)|
|Rushing Yards||201.82 yards per game (20th)||251.08 yards per game (11th)|
|Points||33.82 points per game (18th)||34.33 points per game (23rd)|
|Total Yards||409.55 yards per game (87th)||447.92 yards per game (109th)|
|Passing Yards||244.91 yards per game (85th)||260.25 yards per game (110th)|
|Rushing Yards||164.64 yards per game(76th)||187.67 yards per game (94th)|
|Points||28.73 points per game (77th)||33.83 yards per game (102nd)|
John L Smith Year 4
|Record||4-8 (started season 3-0)|
|Total Yards||356.75 yards per game (48th)|
|Passing Yards||227.58 yards per game (35th)|
|Rushing Yards||129.17 yards per game (65th)|
|Points||25.17 points per game (52nd)|
|Total Yards||363.75 yards per game (88th)|
|Passing Yards||230.92 yards per game (97th)|
|Rushing Yards||132.83 yards per game (56th)|
|Points||28.73 points per game (77th)|
I was too lazy to do so, but another data point that's probably worth taking into account are the relevant offensive and defensive measures in the three years prior to RichRod and John L Smith. This also doesn't take into account attrition numbers that each coach had to deal with (well documentated in Rich Rodriguez's case, no idea when it comes to MSU).
Editing Notes: made some changes with stats so presentation is better plus fixed typo in title.
Synopsis: The relationship between turnovers and winning a football game has been well documented. But, as I watched the last two Michigan games, it seemed to me that unforced errors by the offense (overthrown passes, dropped passes, penalties, bad snaps, missed FGs, shanked punts, not recovering on-side kicks, etc.) were far more prevalent and far more costly than turnovers. I decided to find out if I was crazy. So, I went back and watched the DVRs of both games, stopped the DVR at each unforced error, and documented the results. I am not crazy (at least not in this circumstance).
In the Wisconsin game: Michigan had 8 unforced errors, the opponent had NONE, there were 2 TOs by each team, and the turnover margin was –0-. Michigan scored just 28 points. Unforced errors by Michigan left at least 21 and perhaps as many as 35 points on the field.
In the osu game: Michigan had 18 unforced errors, the opponent had 7, there were 3 TOs by M, 1 TO by the opponent, and the turnover margin was –2. Michigan scored only 7 points. Unforced errors by Michigan left at least 17 points on the field. Unforced errors by osu left at least 8 points on the field. On average, the –2 TOM would cost M 8 points. The first shanked punt by M also put the D in terrible field position and led to osu's first TD.
In both of these games, many of the unforced errors occurred early when scores by the offense could have created or maintained momentum in Michigan's favor. Unforced errors are worse than TOs. Unless Michigan can significantly reduce the number of unforced errors, the team will continue to struggle to win games.
What Causes Unforced Errors: There does not appear to be any difference between the root causes of unforced errors and TOs. Younger, inexperienced players are the major causes for both. The physical differences between most 18 year old and most 22 year old football players is dramatic. The mental differences (i.e. poor judgment) are also significant. Bad luck is not a significant factor in either unforced errors or turnovers. Without attending practices, it is impossible to know whether coaching techniques (e.g. simulating real game conditions better, deliberating throwing passes that are difficult for receivers to catch, etc.) are being used that would reduce the unforced errors.
The Gory Details: Here are the tables of unforced errors for the last two games. Red are the Michigan unforced errors, black is the opponent's. First, Wisky:
It is the Yang to last week's Yin (for Yin == "Swallowing Kenny Demens"). This play from the Wisconsin game has both Wisconsin and Michigan in the same formation, and Wisconsin runs essentially the same play. This time, however, the backside OT releases downfield, and that makes about an 8-yard difference.
And I'm going to suck it up and stop whining now, because Brian undoubtedly spends about twice as much time doing the original PPs as I do on the MPPs. If he can take it, I can take it.
Wha'hoppon: Wisconsin has first-and-ten at the Michigan 41 on their first TD drive of the second half (Brian describes this one as a 'soul-crushing ground based TD drive,' and has to qualify that with 'first' in order to distinguish it from all the other soul-crushing ground based TD drives Wisconsin had in the second half). Wisconsin again lines up in the I with twins right and TE left. Michigan again is in the 3-3-5, although now Avery is playing up, Kovacs is playing back, and the backup DL is in. At the snap, the backside OT immediately releases downfield, allowing Banks to slant inside the TE. Patterson gets playside of the center, and Black cleanly beats the playside OT upfield. Demens fills the hole at the LOS, neutralizing both the playside guard and the FB.
This time, Banks is sitting in the hole where the cutback lane would be, so the RB has nowhere to go and just plows into the pile for two yards.
Football is not transitive. What do I mean? Simple. If Team A beats Team B, and then Team B beats Team C, it does not mean that Team A will beat Team C. We all know this.
Proof of non-transitivity this year comes in the Big Ten. Let's look at the Big Ten Graph. The graph is simple to understand: each team is a node (circle), and there is an line connecting each team that played another team. The line is actually an arrow, making this a directed graph, in the obvious form: if there is an arrow from Team A's node to Team B's node, it means Team A beat Team B. Here is the graph:
The Victory Graph (Click on it for full size)
There are lots of fun cycles to find in the graph. For example, Minnesota beat Iowa, who beat Michigan State, who beat Minnesota. See how many of these three-node cycles you can find (there are plenty). Or not, depends how bored you are at work. There are bigger ones too: for example, Michigan beat Indiana who beat Purdue who beat Minnesota who beat Iowa who beat Michigan State who beat Wisconsin who beat Michigan. And it goes on.
The most amazing fact from the graph, thanks to Indiana finally getting a win, is that the graph is strongly connected. In graph terminology, this means you can get from any node in the graph to any other node, simply by following arrows, for all pairs of nodes. This really shows how non-transitive football is: you can use this graph to say any team "transitively beat" any other team, at least in the Big Ten this past year. For example, Indiana beat Purdue, who beat Minnesota, who beat Iowa, who beat Michigan State, who beat Wisconsin, who beat OSU. If football were transitive, Indiana "beat" OSU! Except when they played, of course.
One interesting metric for each pair of teams (A, B) is the shortest path to victory for A over B. Some of these "shortest paths to victory" are easy to find: for example, it is unfortunately the case that there is a short and quite direct path from OSU (at the top) to Michigan. Some are harder to see: for example, see if you can find the path where Michigan "transitively" beats OSU. This "shortest path" is actually long: 6 steps (the answer is at bottom).
We can then use this graph to order the teams a different way: what is the shortest path between a team and every other team in the Big Ten? Lower is better here: a path of length 1 means Team A directly beat Team B, whereas a path of length 2 between Team A and Team B means that Team A beat Team C who in turn beat Team B. Here is the full summary of the shortest paths between all pairs of Big Ten teams:
You can then use these to create a new ranking among teams, based on their average shortest path to victory:
This ranking kind of makes sense, too. If you beat a lot of teams directly, then you will have an average near 1 (note that even undefeated teams will average higher than 1, because teams don't all play each other). If you only beat bad teams, who in turn only beat other bad teams, your average will be higher. Thus, Michigan does poorly in this comparison; Minnesota does better because they beat Iowa, who actually beat some good teams (like MSU). Only Indiana fares worse than our boys in Blue.
You can also prune the graph to arrive at some interesting findings. For example, let's say we remove all edges where one team didn't resoundingly beat the other team. I will arbitrarily deem a win as a "strong" win when one team beats the other by more than 10 points. The graph now looks like this:
The Strong Victory Graph (Click on it for full size)
Wow, that is a much different graph! The first thing that stands out: there are no cycles in this graph. That means that if Team A "strongly beat" Team B, and Team B "strongly beat" Team C, that Team C didn't "strongly beat" Team A. There are no cycles here my friends.
We can also then use the "Strong Win" Graph to compute a new ranking. For each strong win, you get a +1, and for each strong loss, you get -1. Here are the teams, ranked by this new "Strong Win" scoring system:
This is actually a pretty reasonable ranking I think. Wisconsin is on top, because they beat the tar out of everyone (almost). Michigan State doesn't fare nearly as well as Wisconsin and OSU, because they had many close wins and one game where they were trounced (Iowa). Michigan ends up behind Illinois and Penn State in this ranking, because those two teams had a number of big wins, where Michigan only had one (Purdue, and barely "strong" at that).
Anyhow, that's a short look at how graphs can help us rank teams in different ways. And if you didn't like it, well, remember that I Hate Everything too.
[EDIT: Some people asked how I generated the graphs. All automated, given an input of games and scores. Some python code to compute shortest paths between nodes (there are some fairly standard algorithms for doing this) and then Graphviz to layout the graphs automatically. It would be easy to do this for any set of games.
One other note: the real point of the "Strong Win" graph is how silly it is that score differential is ignored in current computer rankings. A big score difference is a useful metric, and one that I think is better than many other simple ways of comparing teams. One could likely come up with a slightly more nuanced "Strong Win" definition (say, win by 10 and outgain the other team by some threshold number of yards); this was just a simple and easy way to start.]
The path for "transitive victory" of Michigan over OSU: Michigan beat Illinois who beat Northwestern who beat Iowa who beat Michigan State who beat Wisconsin who beat OSU. Ugh, it is really hard for us to beat OSU, apparently.
[Ed.: as a basis for discussion. IME, the FO-based stats are the best available for reducing noise when you're evaluating how good of a team you've got.]
Hey guys, I don't know about you, but 99% of the conversations I've seen or heard about Rich Rodriguez's future at the University of Michigan hinge on how much each person thinks the team has improved. So obviously, the question is how much have we improved, exactly?
To start off, I'm going to make a few assumptions and attempt to defend them. First, very few people can simply watch the games, watch the highlights and determine if their own team has gotten better. Frankly, we don't know enough about the game on a micro level for our eyeball test to mean anything, not to mention the TV angles don't have large parts of the play, we don't know what play was called, etc.
Secondly, no mere mortal is actually capable of rating teams, especially the mediocre ones. There are around 50 games a week during the season, and while many of us wish we could be superfans, we simply are not capable of watching that many games in any meaningful sense. If you aren't watching the games, what are you basing your eyeball rankings off of?
Because of those two assumptions, the only place we can really look for improvement is found in statistics.
Statistics? @#$@, like math?
Don't they lie or something?
Well, yeah sometimes. There are many different ways to look at football statistically, and frankly, all of them have fairly severe flaws. Football simply has too many intangibles to model mathematically as well as baseball. However, that doesn't mean that all statistical analysis of football is useless, just that you have to be careful not to overstate your case and to look at the data in as many ways as possible. For this diary, we're going to look at three major ways of quantifying football games. The goal is to compare the results and see if we can get some sort of idea of what's going on.
OK so what are these different ways? Didn't Brian post about FEI or something?
The first, and most common, are methods that mostly rely on looking at who won against who and/or by how much. This is the type of method used by Sagarin, Massey and more. For the BCS formulations, Massey and Sagarin are not allowed to use margin of victory in their calculations. However, when Massey and Sagarin use margin of victory, their models are more accurate.
The second one we'll look at is basically drive analysis. This is FEI, and is best explained by Football Outsiders:
The Fremeau Efficiency Index (FEI) considers each of the nearly 20,000 possessions every season in major college football. All drives are filtered to eliminate first-half clock-kills and end-of-game garbage drives and scores. A scoring rate analysis of the remaining possessions then determines the baseline possession efficiency expectations against which each team is measured. A team is rewarded for playing well against good teams, win or lose, and is punished more severely for playing poorly against bad teams than it is rewarded for playing well against bad teams.
The last one we'll look at is an analysis that uses a play by play analysis. Again, Football Outsiders:
The S&P+ Ratings are a college football ratings system derived from the play-by-play data of all 800+ of a season's FBS college football games (and 140,000+ plays). There are three key components to the S&P+:
There has been a lot of talk surrounding the job security of Rich Rodriguez, and I have stumbled upon something that may shed some light on the outcome. This thing goes way deeper than sabotage efforts by Herbie, or Tweet wars, or anything spoken by David Brandon in the wake of our 30 point trouncing at the hands of OSU. This thing is deep, and it spreads into realms nobody here realizes. I present my case.
Domino's Pizza Commercial, circa 2009
A year after the disasterous 3-9 season that lit a fire under Rodriguez' chair, David Brandon, who at that time was CEO of Domino's Pizza, comes up with a new advertising campaign. "Giving a bailout to main street, not Wall Street," became the ode du jour. The symbolism is outwardly obvious. Brandon is fed up with the hierarchy at the Michigan Athletic Department, namely Rodriguez and his crew. Note that Brandon grabs a pizza box from the 'old' man, and places it into the hands of a younger passerby. A proverbial passing of the torch, or pepperoni, in this instance. Also note that all the cars in that commercial are Ford's, an obvious nod to a 'Michigan Man." Message sent.
Enter the Free Press. A bastion of morality in the decaying sector of popular culture know as news print. When the old guard says jump, they ask, "Onto what phallic device?" A sweeping attack on all that is Rodriguez decended upon the land. A strike that was military in its precision blindsided the administration, and left them exposed on all sides, sitting targets for the mouth breathers at ESPN to fire shots of lead towards. And fire they did, lamenting Rich to all who would listen.
Yound Man Told by Drew Sharp That Rich Hates Redheads
Coalescence of the Old Guard
Still waters run deep. So it should be of no surprise that none other than Les Miles has become the lynchpin that has held together the Old Guard. As acting Don, Miles was responsible for issuing the kiss of death, which came in a very peculiar way:
What better moment than a decisive touchdown against a former National Champion and hated Spartan in Nick Saban's Crimson Tide to derail the outsider? Rotary phones in stodgy offices all across the midwest began to ring off the hook, as members confirmed that the sign had been cast. When grass touches the tongue, the end shall begin. The transition was to commence. Columns of white smoke would not be seen rising until the Prodigal Son returned to Ann Arbor.
A house once divided was now as focused as a Michigan receiver after a trip to the optometrist.
The Mysterious Death of a Funny Man
At first glance, the passing of one Leslie Nielsen seems to be a tragic and unavoidable course of events. He was, after all, 84 years old. A closer look reveals a sordid turn of events that left this Hollywood legend dead in Florida. It also reveals the rapid escalation and the mounting tension between the two sides.
Leslie enters the scene in 2002, when he is named an honorary citizen of West Virginia, the same year Rodriguez has his big turnaround at WVU. The two become fast friends, living as kings of West Virginia. Nielsen takes the WVU divorce especially hard, as do most denizens of that fine state, and their relationship quickly soured.
Leslie spends the remainder of his life just miles away from Harbaugh and his staff. Having a penchant for college football coaches, he makes fast friends with the former Michigan QB, and becomes outwardly critical of the Rodriguez regime. When asked about the coaching tenure of Rich Rod, Nielsen responds:
I'm sorry I can't be more optimistic, Doctor, but we've got a long road ahead of us. It's like having sex. It's a painstaking and arduous task that seems to go on and on forever, and just when you think things are going your way, nothing happens.
Speculation arises that Nielsen had joined the Old Guard.
Feeling betrayed, Rodriguez becomes spiteful. The spite gives way to unbridled anger when Rich gets word that Nielsen plans to meet with Brandon to reveal undisclosed indiscretions from his past. Last week Calvin McGee, a henchman in Rodriguez' platoon, travels down to Florida. Some are convinced it's a recruiting trip, others a job interview. But the truth is much more sinister. Nielsen got on Rod's bad side.
Alarm rings out through the Old Guard, as they become fully aware of just what they have awakened.
The Culmination of Events
Michigan fans with their ears to the ground have started to stir, as they can now confirm what the seismometers have been predicting for the last few years. Something is a brewin'. In fact, many seemingly random events can be attributed to the Cold War that will soon come to fruition.
The stitches Obama received during a 'friendly' game of basketball? That was Beilein sending a message that the President needs to back his horse. A similar message was sent by the Old Guard to Rue McLanahan after she openly supported the proliferation of the spread offense in college football. Rue was an avid college football fan.
Both sides have become brazen with their displays of power and authority. There is no telling how fast, or how far, this will go. One thing is for sure, there will be no winners. Brian, as a figure head in this debate, I'd lay low for a while. Find a nice hamlet somewhere down south and let this thing play out. I just hope it's not too late.