Tempo-Free Offense and Defense Points-Per-Posession: Iowa

Submitted by bigmc6000 on

Last week I looked at UM's 2009 vs 2010 numbers and came up with some numbers that point to a Michigan loss, but I held out hope that the Michigan offense wouldn't suck like they did against Sparty last year - yeah...  So this week I'm just sticking to the numbers in hopes of reverse jinxing us into a win :)

This week I took it one step further and looked at all of Iowa's 2010 results, comparing them to their 2009 common opponent results (as best as you can -- PSU is nothing like the PSU from 2009 but it's the best you can do).

UM's numbers took a bit of a dip both offensively and defensively after the MSU debacle and we now have this for the D:

Points/Posession
UConn 1.11  
ND 1.41  
UMass 3.36  
BGSU 1.91  
IU 2.92  
MSU 3.10  
     
  All Opponents All DI - Opponents
Total 2.26 2.051

And this for the O:

Points/Posession
UConn 3.88  
ND 1.75  
UMass 4.20  
BGSU 5.73  
IU 3.50  
MSU 1.55  
  All Opponents All DI - Opponents
Total 3.28 2.97

Now for some scary numbers: Lets look at Iowa thus far. Their D:

Points/Posession
Eastern Ill 0.70  
Iowa State 0.58  
Arizona 1.30  
Ball State 0.00  
Penn State 0.23  
     
  All Opponents All DI - Opponents
Total 0.54 0.50

And their O:

Points/Posession
Easterm Ill 3.50  
Iowa State 3.18  
Arizona 1.62  
Ball State 4.09  
Penn State 1.70  
     
  All Opponents All DI - Opponents
Total 2.75 2.65

Ok so we already knew that Iowa has an absurd D but what about comparing both UM and IA to this point last year...

All Opps 2010 2009 % Improvement
UM D PPP 2.26 1.39 -63%
UM O PPP 3.28 2.99 10%
       
IA D PPP 0.54 0.95 43%
IA O PPP 2.75 1.95 41%

And for D-I Opps only:

All DI Opps 2010 2009 % Improvement
UM D PPP 2.05 1.59 -29%
UM O PPP 2.97 2.6 14%
       
IA D PPP 0.5 0.86 42%
IA O PPP 2.65 2.12 25%

So, compared to last year at this point our D is much worse, our O is a bit better and Iowa has made huge strides on both sides of the ball (pick-6's and special teams points aren't counted in this). With that in mind what happened last year against Iowa?

UM vs IA 2009* Expected Result % Difference
UM D 1.59 2 -21%
UM O 2.6 1.62 -60%
       
IA D 0.86 1.62 -47%
IA O 2.12 2 -6%

* means that I used the D-I only numbers

Well, pretty much only the Iowa O met their numbers for the season average while our D, O and Iowa's D took a big hit.

If we only look at UM 2010 vs 2009 we get a predicted score as such:

Based on UM Performance
2010 vs 2009
  vs All vs DI Only
UM 20 21
IA 38 34

Then if we look at only Iowa 2010 vs 2009 we get this:

Based on IA Performance
2010 vs 2009
  vs All vs DI Only
UM 10 12
IA 30 25

Basically everything spells doom.  Even if you put in a full 6-pt swing from the change of home venues, we're at best looking at 31-24 Iowa. Sadly, I'm going to go with the average of all four numbers and throw in a 3-point swing for home field advantage (not 6 as we're treating 2010 as a seperate entity) and I end up with UM 19 - IA 32. I'll do a bit of DO NOT PUNT rounding and IA's penchant for FGs for an official prediction of UM 21 - IA 30.

I'd do a full review of the MSU numbers but it's painful so the quick and dirty is the O took a 56% decrease in PPP (3.5 season avg vs 1.55 actual) and the D took a 69% decrease (1.84 season average vs 3.10 actual).

P.S. Dear Denard - please just run once your internal timer has gone off and prove the numbers horribly wrong!! :)

Comments

joeyb

October 12th, 2010 at 6:04 PM ^

I'm hoping you can just plug this into your spreadsheet so that I don't have to do the math myself.

Can you see what the outcome would be based on the extra 14 points we would get if Denard throws those two passes accurately and what it would be with an extra 18 points from those two passes and the overthrown one that led to a FG attempt? I'm thinking that our offense will be a machine next week with no picks and very limited dropped passes and 1/6 of your data is about as bad as our offense could perform.

bigmc6000

October 12th, 2010 at 7:20 PM ^

I don't have the spreadsheet on me but I can easily put that together in the morning.  However 1 thing to note is that the MSU game wasn't that much worse than the Notre Dame game - we just had a ton more possessions to get those points.  I did take a quick look at what it would have been like had I left out the MSU game entirely and it only accounted for a few points - most of that is due to the fact that IA's defense is only giving up .5 pt/poss this year and still less than 1 last year so even a .5 pts/poss increase to the whole is only going to see a 6 point swing.

 

Either way, I'll plug the numbers in in the morning and post an update w/ those.  I probably won't include the missed FG at the EOH because, as mentioned, we probably won't usually make that anyway.

bigmc6000

October 13th, 2010 at 8:18 AM ^

As promised - I put in 3 TD's instead of 2 INT's and 1 FG and it really doesn't end up doing too much to the predicted score since it's just 1/6th of the input.  The projected offensive points go from 20 and 22 to 22 and 24 respectively and bump the total average to UM 20 and IA 32.  So, still basically the same thing.  If there's anything to take from this is that if we're having an off day having the other team moving the ball quickly helps since ND was our second worst performance to date but we had many, many more posessions in that game than any other game.

trackcapt

October 13th, 2010 at 1:24 AM ^

On the minus side, most of the teams we've played are HORRIBLE defensively, except UConn (a mediocre 59th in NCAA FBS Total Defense) and MSU (42nd in Total D), who held us to about half our season averages in PPP, total points and total yards.

On the plus side, all of the teams Iowa has played are HORRIBLE offensively (FBS team and 88th, 93rd and 104th in FBS Total Offense), except for Arizona (26th in FBS Total O) who put up 360+ yards of O, mostly through the air, although two of AZ's scores were not on Iowa's D (85 yd int return and 100 yd k.o. return).

Let's hope that Iowa's D was somewhat exposed vs. Arizona while our O merely sh*t the bed vs. MSU.  Specifically, let's hope Denard displays the passing accuracy he did in the first five games; you gotta bet Iowa is going to use the MSU blueprint, except adding a fearsome pass rush, and force us to beat them through the air.  RichRod, Magee and Rod Smith, I further hope, are coaching Denard to just make the plays instinctively that he sees, just like he did in weeks 1-5; be decisive whether you're going to shoot the three or pass.  That should at least keep it close.

Don

October 13th, 2010 at 11:12 AM ^

Against as good a defense as we're likely to see this year, possibly excepting only OSU? Strong defenses have a funny habit of gumming up machine-like offenses. I think we're still a solid year from being truly machine-like against competent defenses in the conference. 30-21 sounds optimistic to me.

Stonybrook held UMass to fewer points than we did, gave up fewer yards on the ground, and only gave up three more yards in total offense. Our defense isn't as bad as we thought it was—it's worse.

GBellanca

October 13th, 2010 at 12:38 PM ^

I don't understand how these measures are predictive when we are not controlling for opponents.  (Different opponents eliminates any scientific, neutral measure of expected performance.)  

Has anyone done a regression and shown that despite the lack of a common dataset, the resulting models are predictive?

bigmc6000

October 13th, 2010 at 3:19 PM ^

For example Iowa has played virtually the same slate as last year (2 cupcakes and exactly the same 3 big opponents; Iowa State, Penn State, Arizona) but those teams aren't the same as last year and neither is Iowa (or maybe they are?) so there is in fact a common dataset of the first x games of last year vs the results of this year. Using this metric rather than the average of the entire season last year removes the bias of playing an entire Big Ten schedule. 

What this prediction does is compare where we were last year with where we are this year and compare that to where we were last year and how we did against the same opponent.  So if we outperformed our average O against IA last year I'll use that % and apply it to what we're looking to do this year.  If you go back and compare the first few weeks it's not really going to tell you anything because the averages and numbers are moving.  This just simply answers the question of "If we perform at the same efficiency vs our average as we did last year this will be the result" and I've combined that from both the Iowa perspective and our perspective. 

You could simply just say IA is giving up 1 PPP and UM is scoring 2 PPP so it'll be 1.5 PPP but that doesn't take into account how Michigan performs, relative to itself, against Iowa.  What it does take into account is that idea that you perform better against some schools (compared to moving average) than you do against others (i.e. OSU always seems to have our number and that'll show up in the %'s when we play them).  It is by no means a sure thing or anything as in depth as what Mathlete does but it does still have both a common data set and a scientific, neutral basis.

GBellanca

October 13th, 2010 at 3:36 PM ^

I guess you're saying that there's some measurable continuity of performance (relative to measured other-school performance) between two clubs.

I don't know.  To me the data are all messed and the only way to validate the model is with a backtest against, say, 50 teams over 5 seasons.   To me this is a hypothesis being sustained by a promise.

But thanks for taking my question seriously.

bigmc6000

October 14th, 2010 at 8:12 AM ^

This is what I wrote in last week's MSU preview "Keeping UMass and DSU in the calc I ended up with our O only getting 57% of it's expected output (OUCH!) with about 1 posession more per game."  If you look above it turns out that UM only got 56% of it's average O output so, like I said, it's just 1 data point and that certainly doesn't define a curve but I had MSU sitting at 35 points and us sitting around 22-24 points which isn't that far from what we ended up with and pretty well defined the end margin of loss.  I'd do a regression to see how accurate it is over time but just doing Michigan and it's opponent takes quite a bit of time as is so I don't really have time for that.  If the numbers don't end up even remotely close after a few weeks I'll consider a few ways to increase the accuracy but at this point I think it's best to call this a "projection" rather than a "prediction."