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Tough Schedules

There are many ways to determine whether or not a team has a tough schedule I suppose but most would have to do with the strength of the teams they are playing in a given year. I got to thinking (and we all know how dangerous that can be) and I wondered if any teams played their schedule straight through with no off weeks. To me that is another kind of tough schedule that could take a toll on a team physically and mentally.
It may be harder to get up every week without any breaks, that was my train of thought. Well guess what, there were more than I thought there might be. Here they are:

Vanderbilt, Penn State, Ohio State, Iowa, Michigan State, Minnesota, Michigan, Northwestern, Purdue, Indiana, Kansas State, Air Force, W. Michigan, and Miami-Ohio.
TCU has week one off then plays 12 straight.

I have no data on how this effects performances but I will watch it this year. You would think there would be some definite liabilities to this kind of scheduling. It appears this is common place in the Big Ten. Like I said this is an area I never examined before but might be worth considering at some point and time in the season. It would also be interesting to monitor injuries or down time for players from these teams. Just thought I would throw it out there.
 

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Guys if you read the other threads I guess you read all the stuff Conan puts out there about me. I guess if you disagree with him beware because this forum is his sacred ground. I am through listening to him much less getting in any more pissing contests with him. I will continue to post on this thread and just do my own thing. I guess since someone else called me a pompous ass he thought he would jump on it. So be it. I have said it before I am a serious better who does a lot of homework. I try to share it on here. He has even knocked my spreadsheet which I have put on here a couple of times but has since been expanded to include 18 points of reference/comparison. It now prints up @70% on landscape and I can't get it on here in its final form. I think I am opened up for private messages so if you would like one drop me a private message and I can e-mail one to you.
In all honesty I began my research in mid January and after 4 months I have virtually completed it. I am starting to work on week 2 of the regular season. When Conan tried to run me down for not having an established W/L ATS I countered by posting five picks for week one. I stand by that. Those are my picks for this forum for week one and I will take them at whatever opening line is acceptable. I guess if you are an asshole you might as well be seen as a pompous one. I accept the fact that there is an establishment on this forum. I am an independent thinker and I do my homework, among other things I do not kiss other peoples asses and what is more I do not expect anyone to do the same to me.

Here's something I would consider very useful Russ. Perhaps your volume of stats will allow you to extract this...

Record for first year starting QB's in September. SU and ATS both. Home and away. I would be curious to see where that comes down in a statical analysis on its own merits regardless of any other factors that may be present just to make it simple. Mitigating factors are another issue. Another possible stat would be their efficiency rating and TD/Int ratio in their first month or two.
 

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Conan

Here's something I would consider very useful Russ. Perhaps your volume of stats will allow you to extract this...

Record for first year starting QB's in September. SU and ATS both. Home and away. I would be curious to see where that comes down in a statical analysis on its own merits regardless of any other factors that may be present just to make it simple. Mitigating factors are another issue. Another possible stat would be their efficiency rating and TD/Int ratio in their first month or two.

I would be interested in that myself but that would probably be impossible to validate. The mitigating factors are another issue but still part of the equation. You would have to look at true freshmen starters, reshirt freshmen who have been in the program an extra year, etc. right up to a fifth year first time starter who is totally familiar with the system. The numbers would not give you anything specific for a particular situation. In other words, even who they play against and where in their first start would have to be taken into consideration. I myself have, in most cases, taken a team with an experienced QB over a first time starter when the two teams are other wise closely matched. If team A is man for man better than team B, then an inexperienced or first time starter is not on an island and it could become more about just managing the game. Teams like Texas Tech just reload as do a few others. The QB's fit the system. And then there are the new wave QB's who are a threat to run and pass, pose a dual threat, and how do you quantify that mixture. I think it just boils down to doing your homework and going with your instincts. If you think a first time starter is going down, bet against him.
If you think a first time starter is facing conditions that make it possible to succeed, then bet on him. It all has to do with the line as always. Maybe I should strike insticts to read "after due consideration." I never go on instinct alone.
 

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I would be interested in that myself but that would probably be impossible to validate. The mitigating factors are another issue but still part of the equation. You would have to look at true freshmen starters, reshirt freshmen who have been in the program an extra year, etc. right up to a fifth year first time starter who is totally familiar with the system. The numbers would not give you anything specific for a particular situation. In other words, even who they play against and where in their first start would have to be taken into consideration. I myself have, in most cases, taken a team with an experienced QB over a first time starter when the two teams are other wise closely matched. If team A is man for man better than team B, then an inexperienced or first time starter is not on an island and it could become more about just managing the game. Teams like Texas Tech just reload as do a few others. The QB's fit the system. And then there are the new wave QB's who are a threat to run and pass, pose a dual threat, and how do you quantify that mixture. I think it just boils down to doing your homework and going with your instincts. If you think a first time starter is going down, bet against him.
If you think a first time starter is facing conditions that make it possible to succeed, then bet on him. It all has to do with the line as always. Maybe I should strike insticts to read "after due consideration." I never go on instinct alone.

Well you can compare anything you want in combination with anything else you link to it, but overall I think such a stat would merit standing on its own. (In my case I have numerous recollections of the outcome of that scenario without counting all occurrences.) It would take a little work but not that horrendously much. After all it could be limited to the month of September only.

In other words, how well do new starters start? Monthly records are pretty easy to come by, just throw away the years a team has a second year starter or higher. I don't think it needs any more fine tuning than that to make a point. You can always add the mitigating factors in after you get your baseline numbers.

Such as redshirts vs true freshman, new OL vs 75% returning linemen or more, etc. but on the whole, all situations have equal value thus no need to break it down to get the basic idea. That can be done afterwards to get a clearer picture of the entire situation with various scenarios factored in (or not.)
 

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Well you can compare anything you want in combination with anything else you link to it, but overall I think such a stat would merit standing on its own. (In my case I have numerous recollections of the outcome of that scenario without counting all occurrences.) It would take a little work but not that horrendously much. After all it could be limited to the month of September only.

In other words, how well do new starters start? Monthly records are pretty easy to come by, just throw away the years a team has a second year starter or higher. I don't think it needs any more fine tuning than that to make a point. You can always add the mitigating factors in after you get your baseline numbers.

Such as redshirts vs true freshman, new OL vs 75% returning linemen or more, etc. but on the whole, all situations have equal value thus no need to break it down to get the basic idea. That can be done afterwards to get a clearer picture of the entire situation with various scenarios factored in (or not.)

You see Conan this is where we differ. When you say all situations have equal value and there is no need to break it down to get the basic idea. In my way of seeing things, all situations are not equal, need to be broken down and separated, and a basic idea does not fit a specific situation necessarily. Now you are going to go off on me but please give me a chance. I would be as interested as you to see the data and if you think it is that easy go for it. To me the basic idea is that every situation is different, that all first time starters are not equal, and that the overall strength of the team is just as important as who is QB. Can a fumbling, erratic, unpoised QB hurt a team. Hell yes, we saw it LY. Look at S. Carolina, LSU, UCLA, on and on. All I am saying is that I am not going to throw all first time starters in the same pot. I think if you would take on this quest and do the research yourself you might understand where I am coming from. It is easier said than done. You do not have to do it to prove a point to me. All I am saying is that I don't think it would be worth the the effort. Earlier I went back and recapped Matt Scott's individual stats for all the games he played in. Did you know he played in that many games. I didn't. I knew his stats for last season but not by game. I had to go online pull up the team schedule and go through each game individually. It took some time and that was relatively easy. To take on a task like you are suggesting is more than I care to take on at this time.
 

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You see Conan this is where we differ. When you say all situations have equal value and there is no need to break it down to get the basic idea. In my way of seeing things, all situations are not equal, need to be broken down and separated, and a basic idea does not fit a specific situation necessarily. Now you are going to go off on me but please give me a chance. I would be as interested as you to see the data and if you think it is that easy go for it. To me the basic idea is that every situation is different, that all first time starters are not equal, and that the overall strength of the team is just as important as who is QB. Can a fumbling, erratic, unpoised QB hurt a team. Hell yes, we saw it LY. Look at S. Carolina, LSU, UCLA, on and on. All I am saying is that I am not going to throw all first time starters in the same pot. I think if you would take on this quest and do the research yourself you might understand where I am coming from. It is easier said than done. You do not have to do it to prove a point to me. All I am saying is that I don't think it would be worth the the effort. Earlier I went back and recapped Matt Scott's individual stats for all the games he played in. Did you know he played in that many games. I didn't. I knew his stats for last season but not by game. I had to go online pull up the team schedule and go through each game individually. It took some time and that was relatively easy. To take on a task like you are suggesting is more than I care to take on at this time.

I never said that. You took the words out of context and quoted an overedited snippet of what I wrote that missed the full meanng of my post. Then you went on to explain how I dismiss relevant data and you don't. That's pushing it bud.

The basic idea of "first time starters" is meant to make researching the concept simple and a lot easier to research than to try to qualify every possible scenario from the start. It is not useless information because on the whole they can still be compared to experienced starters, and I think that is very significant. As a whole group, they turn the ball over more than any other time in their careers. As a group, their TD/int ratio is lower than the rest. That is significant.

But to think that first time starters don't have issues is naive. Maybe some don't but that information would be apparent too and it would distinguish a new QB from his peers. No. of fumbles, interceptions, per player on a weighted scale could reveal tons of useful information from a handicapping perspective... and so on.

I can tell you that first time starters are terrible by comparison to experienced QB's and I think it would be valuable informatioin to quantify so it can be proven beyond simple recollection of a number of standouts that come to mind. Impressions that I get more often than not in most cases. Maybe some schools are more prone than others to have more problems with their first time starters than others do. I can think of several examples of that too, but it would be nice to pin down who is who and have something more to compare them to perhaps to support what I already know. Or maybe to change my mind.

You absolutely misunderstood what I said. I never said all situations have equal value other than as a place to begin PERIOD! You took my words out of context then you ran with it then drawing an obvious difference that wasn't even obvious to anyone but you in your state of semi comprehension. You ignored alot of my full post. You took what I said out out of context.

You seen to take the first time starter concept a bit lightly in at least one instance that comes to mind and I'd like to know why. I'd like to see it quantified so I can understand perhaps what you understand from a statistical perspective... either that or to prove a point that I have good reason to suspect is very revealing about new QB's in general, that they are highly error prone. That they have bad habits that lead to interceptions, etc.

We do not disagree, you just didn't read what I wrote correctly and you shorted out and you went into yet another of your quick to judge, shoot from the hip rants that naturally included my lack of understanding... the usual.

So to reiterate, as a starting point, just the simple W/L, W/L ATS, QB rating and TD/Int ratio for ALL first year starters. Then go from there to break it down further looks a lot simpler than to ferret out the redshirts first, then the true freshmen etc. Even small minds, smaller than yours can understand a lot more work when he sees it.

Of course various scenarios do not have equal value. Do you think I would say that a true freshman who has never even seen a playbook is the same as redshirt freshman who's been learning the system for a year? Are you kidding me?

So here it is once again. This is what I actually did write, not your limited iterpretation of it:

"Record for first year starting QB's in September. SU and ATS both. Home and away. I would be curious to see where that comes down in a statical analysis on its own merits regardless of any other factors that may be present just to make it simple. Mitigating factors are another issue. Another possible stat would be their efficiency rating and TD/Int ratio in their first month or two." My very words.

Then in the next post:

You can always add the mitigating factors in after you get your baseline numbers.
"Such as redshirts vs true freshman, new OL vs 75% returning linemen or more, etc. but on the whole, all situations have equal value thus no need to break it down to get thebasic idea. That can be done afterwards to get a clearer picture of the entire situation with various scenarios factored in (or not.)" My words exactly.

I never said that mitigating circumstances didn't matter, I said that they were another matter. For further analysis.

Had you read the entire post and responded to that, you would have seen that I meant disregarding the other factors relating to first year starters was only a beginning, not an end to gathering the data. But it is of some value anyway.

I would be perfectly happy to have one month of first time starter stats. September. That would be very revealing and useful because there happen to be 6 such QB's starting in this conference this season and I'm sure there are tendencies that cut across all lines, at the very least to compare one to another and to the norm. Then perhaps for the rest of the season, there will be a little more predictability.

Your conclusion was based only on a partial grasp of what I had written. It was taken out of context. To understand where I AM coming from, you need to read my posts thoroughly to the end and give ME a fair opportunity to explain what I am saying without going off yourself, taking what I write out of context and quoting snippits that miss the entire point.

I thought you could help, it seemed something up your alley. Maybe you will one day if you can grasp what I am saying in its full context top to bottom without the short circuited snippet of understanding and the rant that typically follows.
 

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Apples and oranges Russ. That's the problem. If I say this and that, you read only this or only that. The distinctions I made went unread or they were mis-understood. You end up arguing a point that I never made.

Snippets are not accurate. Give me a break. Read the whole post please. I said a lot more than what you quoted and you either know that and realize that you deliberately ignored it and it's hopeless.

Now, wouldn't it be easier for a START to take the whole lot of first year starters and look at those tendencies? Then perhaps break that down into backups that became first year starters. Redshirts, true freshmen. Wouldn't that be additional and more accurate but building on the original concept?

I hope to get something out of this. Maybe someone else has seen some information that details this? I sure as hell ain't gonna look up 119 teams for the last 5 years and every game played in September. I'd like to know where something as obvious and as commonplace as "first year starters" are catalogged and sorted. That would be a start.

I only have my experience and impressions over the years to go by. And I tell you that it's often a crapshoot with many if not most of them. It would be nice to find something that explains it in more detail. Maybe a site that keeps season to date records for each team for each week of the season. That right there is tough to find.
 

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Conan

Look I simply addressed your following quote" well you can compare anything you want in comparison with anything else you link it to". That is a quote from your original post on this subject. I did not take anything out of context and I did read your entire post. I agreed it would be interesting. I am not not interested in doing it. Maybe someone like Steele has already done it, would not surprise me in the least. But to do it you have to do it right. I am worn slick with research and you said you don't want to do it. Hell, I don't blame anyone for not wanting to do it.
I think anyone who has been handicapping for any length of time at all knows that in general it limits a team to have an inexperienced starter.
In my mind there is a difference between a an experienced first time starter and an inexperienced first time starter. I talked about that up above. The QB has more impact on a game than any other player under normal circumstances. Is that definable in terms of numeric value as a handicap aid? Is it just as likely that you could over compensate for a new QB and lay too many points and lose the other way? I don't need the information. On my breakdown I do indicate whether or not a team has a returning QB and I do take that into consideration. Then the you consider the "mitigating circumstances" you mentioned and there you go. The worst thing you can do in handicapping is get wrapped up in generalizations. Hell that holds true for life. That is why I break down 18 areas of relevant comparable stats before I even start an evaluation. The more points of comparison that you have the less likely you are to gerneralize.
 

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Update

The BYU/Oklahoma game to be played at the new home of the Dallas Cowboys will broacast nationally 6:00PM CT.
The Col. State/Colorado game has been moved from Saturday 9-5-09 to Sunday 9-6-09 and be broadcast nationally at 5:00PM MT.
 

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<TABLE class=cols cellSpacing=0 sizset="106" sizcache="0"><TBODY sizset="106" sizcache="0"><TR sizset="106" sizcache="0"><TD colSpan=2 sizset="106" sizcache="0"><TABLE cellSpacing=0 cellPadding=0 width="75%" border=0 sizset="106" sizcache="0"><TBODY sizset="106" sizcache="0"><TR sizset="106" sizcache="0"><TD vAlign=top sizset="106" sizcache="0">Big 12 lunchtime links: Why have all the CU players left?
June 3, 2009 12:50 PM
Posted by ESPN.com's Tim Griffin
It's getting close to summer. Most schools are conducting "unofficial" workouts as players return to prepare for the season and get ahead in their schooling.
And we still have links.
Many of them.
Here are some of today's best.
  • <LI sizset="108" sizcache="0">Boulder Camera columnist Neill Woelk writes that there's no common reason to explain why five Colorado players have transferred from the program in the last several months. <LI sizset="109" sizcache="0">I guess we can figure who Athlon likes to win the Oct. 17 game in Dallas, can't we? Oklahoma is revealed as the magazine's No. 2 national team, a day after Texas was released as No. 3. <LI sizset="110" sizcache="0">The Lubbock-based Williams and Hyatt Blog wonders if Texas Tech moving their game at Texas to Sept. 19 is really such a good idea. <LI sizset="111" sizcache="0">Linebacker Jacob Lattimer of Hutchison Community College is the second linebacker added to Iowa State's program after signing day by new coach Paul Rhoads, the Ames Tribune's Bobby La Gesse reports. <LI sizset="112" sizcache="0">The Lawrence Journal-World's Tom Keegan isn't buying a preseason prediction that slots Kansas fourth in the Big 12 North. <LI sizset="113" sizcache="0">The Tulsa World's Dave Sittler plays a game of "what if" with the career of former Oklahoma assistant coach Jim Donnan, who will be elected to College Football Hall of Fame's Divisional Hall of Fame. <LI sizset="114" sizcache="0">Backup quarterback Blaine Dalton is off suspension and back taking part in offseason drills with the Missouri football team, Mike DeArmond of the Kansas City Star reports. <LI sizset="115" sizcache="0">Nearly 1,000 attendees took part in Football 101, Bo Pelini's interactive course in football developed for women, Jon Nyatawa of the Omaha World Herald reports. The event raised more than than $50,000 to benefit the Southeast Nebraska Cancer Center Foundation and the UNMC Eppley Cancer Center, according to the Lincoln Journal-Star. <LI sizset="117" sizcache="0">Missouri quarterback Blaine Gabbert, Texas defensive end Sergio Kindle, Baylor quarterback Robert Griffin, Iowa State quarterback Austen Arnaud and Kansas quarterback Todd Reesing are among the players that a panel of College Football News columnists predict could be "September stars" early in the season. <LI sizset="118" sizcache="0">Former Texas A&M All-American lineman Joe Boyd passed away at the age of 92, the Dallas Morning News reports. Boyd, who later became a noted evangelist, was a member of the Aggies' 1939 national championship team.
  • Former Texas defensive back Erick Jackson didn't make the cut on Michael Irvin's "Fourth and Long" reality football show, Austin American-Statesman columnist Cedric Golden reports in his delicious blog "Golden Nuggets."

Colorado Buffaloes, Texas Longhorns, Oklahoma Sooners, Texas Tech Red Raiders, Jacob Lattimer, Iowa State Cyclones, Paul Rhoads, Kansas Jayhawks, Jim Donnan, Missouri Tigers, Blaine Dalton, Nebraska Cornhuskers, Bo Pelini, Blaine Gabbert, Sergio Kindle, Baylor Bears, Robert Griffin, Austen Arnaud, Todd Reesing, Texas A&M Aggies, Joe Boyd, Erick Jackson, Michael Irvin
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A close look at the Iowa Hawkeyes

This will show you why you have to analyze statistics and separate them to get a true picture. Look at Iowa LY. Ly they scored an avg 0f 30.25 ppg and gave up just 13.25 ppg. That is a point differential of +17 ppg. That is phenominal and reflects in their 9-4 record. But lets take a closer look.
LY Iowa beat Maine 46-3, FIU 42-0, Indiana 45-9, and Minnesota 55-0.
Now if you throw those out because they inflate the points differential and look at how they fared against more competitive teams you come up with this. In their 8 more competitive games (I am not including the bowl game) they scored an avg of 21.88 ppg and allowed 18.38 ppg which dropped their point differential to + 3.5 ppg. Big difference. So it is a case where a cursory look at the numbers could be misleading but a closer look at the numbers tells a more accurate story. So when you throw out the four give me games Iowa's record was 5-4. That is a more accurate picture of how they performed against competitive teams.
This same system can be applied to any team but I thought the Iowa example was a good one. Hope this is helpful. Many people on here have questioned why I think Arizona can give Iowa a run for their money (albeit with a new QB) but this is one reason I give them a better chance than most.
 

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This will show you why you have to analyze statistics and separate them to get a true picture. Look at Iowa LY. Ly they scored an avg 0f 30.25 ppg and gave up just 13.25 ppg. That is a point differential of +17 ppg. That is phenominal and reflects in their 9-4 record. But lets take a closer look.
LY Iowa beat Maine 46-3, FIU 42-0, Indiana 45-9, and Minnesota 55-0.
Now if you throw those out because they inflate the points differential and look at how they fared against more competitive teams you come up with this. In their 8 more competitive games (I am not including the bowl game) they scored an avg of 21.88 ppg and allowed 18.38 ppg which dropped their point differential to + 3.5 ppg. Big difference. So it is a case where a cursory look at the numbers could be misleading but a closer look at the numbers tells a more accurate story. So when you throw out the four give me games Iowa's record was 5-4. That is a more accurate picture of how they performed against competitive teams.
This same system can be applied to any team but I thought the Iowa example was a good one. Hope this is helpful. Many people on here have questioned why I think Arizona can give Iowa a run for their money (albeit with a new QB) but this is one reason I give them a better chance than most.

Just wondering Russ if you've given Arizona the same breakdown you gave Iowa? It's that apples to apples thing I guess. I would be curious to find out what you have on them going with the same factors.
 

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Just wondering Russ if you've given Arizona the same breakdown you gave Iowa? It's that apples to apples thing I guess. I would be curious to find out what you have on them going with the same factors.

I can answer this. Also, excluding the bowl game:

Arizona scored an ave. of 37.08ppg and gave up 21.33ppg in all games. That is a scoring difference of 15.75ppg.

Excluding the 4 "less competitive teams" of

Idaho 70-0
Toledo 41-16
Washington 48-14
Washington State 59-28

Arizona scored an ave. of 28.38ppg and gave up 24.75ppg. That is a scoring difference of 3.63ppg.

Big Difference.

It should also be noted that Arizona lost to an inferior New Mexico team outright.
 

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Just wondering Russ if you've given Arizona the same breakdown you gave Iowa? It's that apples to apples thing I guess. I would be curious to find out what you have on them going with the same factors.

I have mentioned it on here a few times but Arizona lost five games LY by a total of 28 pts (5.6 pts a game). That is 33 pts from a perfect season. You have to consider the teams they played against also as to strength of their schedules, etc. It is not a clear cut deal but it does help put everything in better perspective when a team like Iowa or Arizona plays a competitive team.
 

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I can answer this. Also, excluding the bowl game:

Arizona scored an ave. of 37.08ppg and gave up 21.33ppg in all games. That is a scoring difference of 15.75ppg.

Excluding the 4 "less competitive teams" of

Idaho 70-0
Toledo 41-16
Washington 48-14
Washington State 59-28

Arizona scored an ave. of 28.38ppg and gave up 24.75ppg. That is a scoring difference of 3.63ppg.

Big Difference.

It should also be noted that Arizona lost to an inferior New Mexico team outright.

I'll take your word on it. I will be doing this breakdown on all teams over the next week or two. But if you stop to consider that Arizona is 3.63 and Iowa is 3.5 it proves my point that these two teams are very competitive and could be a close game. In my opinion it should also be a fairly low scoring game which makes me lean toward Arizona especially if the line reflects a lack of confidence in the QB. I try to be ahead of the curve and there is always some risk involved and I could be wrong but that is my approach. I think this is a game where Arizona's running game, including a running QB, keep both teams trying to control the ball and the clock. I think both teams are content to let it boil down to a fourth quarter kind of game. Although Stoops is an Iowa grad there is a little bad blood concerning his playing during the NFL strike between him and some other Iowa grads who were playing in the NFL at the time or were retired but still in the union. This game means a lot to Stoops.

You mention that Arizona lost to New Mexico but I had some steam that indicated that was going to happen and sure enough it did. Also remember that Iowa was 5-4 against the more competitive teams.
 

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It works for everyone

When I pared down Iowa on the post up above it just happened to be one I picked at random. The point is that you can do this to any team. You don't have to eliminate four games it might be more it might be less. The thing is to see how their performance differered when they went up against a very competitive opponent. The information you ascertain from the lesser opponents is not going to help you and could even deceive you.
You could go back over the 2008 season for any and all of the 120 teams and do something similiar. This is not a magic formula. But a lot of people might think Iowa would blow Arizona out (and they might) but the important thing is that is probably where the public is going to be. Unless you pared down both teams like we did up above you might not recognize how competitive these two teams really were. In fact, if this game was being played in Arizona they might even be favored. Conan is right, you should do it for both teams and match them up. Again, I plan on doing individual game matchups starting in mid July. I will post many of them on here to get some feedback and other opinions. This is just one way of many that I break down games and it does not deserve any more credence than the others. However, it is apparent that it is a little eye opening when you see the difference in the point differential for both Iowa and Arizona when you look at it two different ways.
 

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I have mentioned it on here a few times but Arizona lost five games LY by a total of 28 pts (5.6 pts a game). That is 33 pts from a perfect season. You have to consider the teams they played against also as to strength of their schedules, etc. It is not a clear cut deal but it does help put everything in better perspective when a team like Iowa or Arizona plays a competitive team.

Here's an even better perspective that compares both sides. Iowa only lost 4 games last season, not 5 and the total margin of points in all of their losses was only 12 compared to 33 for Arizona. That is roughly 1/3 the total losing point margin and it puts Iowa less than 2 TD's from a perfect season.

Also as far as considering the teams they played, Iowa played and beat #3 Penn St. last year and the Wildcat's best win was at home vs Cal. The Cats didn't have a defining road win last season and this year the game is @Iowa. That may not be the correct angle on this game but it sure looks that way.
 

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Conan

Last year Iowa played only one team that was rated in the top 25 when they played them. That was Penn St at home and Iowa won 24-23

Last year Arizona played three teams that were rated in the top 25 when they played them. They played Cal at home and won 42-27, lost to USC at home 10-17, and lost on the road to Oregon St 17-19. If you look closely you will see that they actually outscored their three top 25 teams 69-63. Actually that is very impressive. So they lost five games by a total 28 points (5.6ppg) and outscored the three top 25 teams by a total of 6 points. Now how do you refute that they are a very competitive team? No matter how you look at it no matter what numbers you pull everything points towared Arizona and Iowa being very closely matched up. Iowa has the home field advantage and an experienced QB, Arizona is on the road with a QB in his first start. I say the public is all over Iowa without knowing what we have all uncovered here.
And by the way if you actually read the post up above I never said Iowa had 5 losses. I said they beat the 4 pansies and then went 5-4 against the more competitive teams. Once again you misquoted me.
 

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Also....

Iowa was 5-4 vs competitive teams and it should also be noted that Arizona was 4-5 vs competitive teams, including New Mexico. Toss out the bowls and keep to the regular season and Iowa was 4-4 and Arizona was 3-5.

I don't find it impressive when they lost all those games but beat Cal by 15 of those points in a game that they were outplayed. Were it not for Riley's typical guffaws, Cal would have beaten them like all the rest of the better teams did. Geeezus, I have never seen anyone fish around for something, ANYTHING to make a case and the pickens are getting slimmer and more far fetched with every post.
 

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I can answer this. Also, excluding the bowl game:

Arizona scored an ave. of 37.08ppg and gave up 21.33ppg in all games. That is a scoring difference of 15.75ppg.

Excluding the 4 "less competitive teams" of

Idaho 70-0
Toledo 41-16
Washington 48-14
Washington State 59-28

Arizona scored an ave. of 28.38ppg and gave up 24.75ppg. That is a scoring difference of 3.63ppg.

Big Difference.

It should also be noted that Arizona lost to an inferior New Mexico team outright.

That was a good breakdown and accurate as far as I can tell. I would only add that Iowa lost to Illinois who many would have considered to be an infererior team (5-7 on the season). I think you will find that most teams throw a clunker now and then and some teams match up better against certain kinds of teams. But the key is your remark "Big Difference". If you have never broken down the numbers like this before it is eye opening. The whole idea of handicapping is to assess a matchup, Team A against Team B, and try to get the comparisons as relative as they can be. The games against the 4 dogs were relevant to playing a dog, and the other more competitive games were relevant for those types of games. Pretty simple really. Unfortunately, there is a lot more to it than just that and in 2009 a whole new bunch of numbers will come up and there are adjustments to be made continuously. The secret is really to be able to assess the true strength of a team regardless of their record and be able to compare that to their opponents true strength. All the math we did up above is just one way to find the true strength of the respective teams.
 

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