S&P+ Five Factors Matchup: UM vs. Maryland

Submitted by Ecky Pting on

Here's the next installation of Bill Connelly's Five Factors metrics matchup between UM & Maryland.

The "M Offense vs. MD Defense" column gauges the performance of the UM offense against the MSU defense by either taking the product (if inversely proportional) or the ratio (if not inversely related) between those two metrics. The results are then re-scaled to the national average by dividing by or multiplying by the national average, respectively. Likewise, the "MD Offense vs. M Defense" computes the other two metrics to gauge the performance of the Maryland Offense.

From there, the column with the greater aggregate number has the competitive advantage...EXCEPT, in the three categories with asterisks: "Stuff Rate", "SD Sack Rate" and "PD Sack Rate", which are contra-metrics that gauge the offense's ability to avoid the given categorical description.

Anyway, the numbers showing the advantage are in bold, and as such it appears the matchups tilt in M's favor in four of the Five Factors, including Turnovers. Breaking it down further, UM has the advantage in all but two sub-categories, as follows:

  1. Rushing IsoPPP (rushing explosiveness, measured as pts. scored per successful rushing plays). Maryland is showing a significant advantage here, largely due to the rating of its offense (well above average) compared to the M defense (below average). Keep in mind that since this metric considers successful plays only, it can be a bit deceiving. The net Rushing Success Rate for the MD offense is about 50% lower than UM (this is even worse than what LOLRutgerz was by comparison). 
  2. SD IsoPPP (standard down explosiveness, measured as pts. per successful standard down). The same as against Colorado, PSU, Wisconsin, RU, MSU... Again, keep in mind that IsoPPP consider successful plays only, of which there are not a great number against the stout UM defense. Again, the success rate for UM is about 70% greater than Maryland.
FIVE FACTORS
(less T/O Luck)
M Off M Def MD Off MD Def Nat'l
Avg.
M Off v MD Def MD Off v M Def
1) EXPLOSIVENESS:
IsoPPP 
1.31 1.29 1.29 1.14 1.27 1.18 1.31
2) EFFICIENCY:
Success Rate 
47.0% 22.8% 44.7% 45.3% 40.9% 52.1% 24.9%
3) FIELD POSITION:
Avg. FP 
36.3 27.0 29.5 30.6 29.7 37.40 26.82
4) FINISHING DRIVES
Pts./Trip in 40 
5.74 2.82 5.22 4.13 4.67 5.08 3.15
5) T/O MARGIN:
T/O Luck (PPG)
  2.41   -2.8   5.21 -5.21
RUSHING              
Rushing S&P+ 118.7 164.3 119.2 74.9 100.0 158.5 72.6
Rushing Success Rate  47.3% 24.2% 47.8% 48.4% 42.5% 53.9% 27.2%
Rushing IsoPPP  1.1 1.17 1.27 1.12 1.08 1.14 1.38
Adj. Line Yards 109.5 152.1 111.2 73.3 100.0 149.4 73.1
Opportunity Rate  40.8% 31.1% 47.0% 39.8% 39.7% 40.9% 36.8%
Power Success Rate  73.7% 50.0% 66.7% 57.1% 67.7% 62.2% 49.3%
Stuff Rate* 17.9% 28.1% 19.3% 18.4% 18.7% 17.6% 29.0%
PASSING              
Passing S&P+ 132.7 202.6 97.3 111.8 100.0 118.7 48.0
Passing Success Rate  46.6% 21.4% 40.7% 40.0% 40.9% 45.6% 21.3%
Passing IsoPPP  1.59 1.41 1.33 1.18 1.48 1.27 1.27
Adj. Sack Rate  156.2 181.9 60.6 128.4 100.0 121.7 33.3
STANDARD DOWNS              
SD S&P+ 119.4 157.7 110.6 90.1 100.0 132.5 70.1
SD Success Rate  50.0% 28.1% 49.3% 49.5% 47.1% 52.5% 29.4%
SD IsoPPP  1.16 1.27 1.16 0.97 1.11 1.01 1.33
SD Line Yds/Carry  3.13 1.88 3.04 3.23 2.98 3.39 1.92
SD Sack Rate* 2.8% 9.1% 5.1% 3.5% 5.1% 1.9% 9.1%
PASSING DOWNS              
PD S&P+ 134.2 227.8 108.2 91.4 100.0 146.8 47.5
PD Success Rate  38.8% 15.6% 34.9% 34.9% 30.3% 44.7% 18.0%
PD IsoPPP  1.88 1.34 1.7 1.74 1.74 1.88 1.31
PD Line Yds/Carry  3.39 1.72 4.05 3.86 3.40 3.85 2.05
PD Sack Rate* 7.0% 15.8% 16.2% 11.8% 8.0% 10.3% 32.0%

The IsoPPP advantages of Maryland in standard downs and rushing plays will mean UM must be on the lookout defensively in order to contain explosive plays, particularly on Standard Downs. This is not necessarily a weakness so much as a condition of the UM Defense under Don Brown's aggressive schemes. These comparative results have been consisent since the Colorado game. As we know, the explosive plays don't occur as often as with other teams simply because the defense just isn't on the field for as many plays. It just seems that when they are on the field, UM's secondary will need to continue to be on its toes in blitz situations. PFF numbers I've seen regarding QB ratings vs. Stribling and Lewis, however, QB's would do better by just throwing the ball out of bounds than anywhere near the U-M CB's. However, the handling run fits is a different thing.

umbig11

November 1st, 2016 at 2:07 PM ^

We may be a little thin this week on the DL. Mone & Glasgow are both battling injuries. Nothing too serious. Glasgow's injury remains undisclosed and Mone rolled his on his leg/ankle awkwardly Saturday. Glasgow can play, but they want to rest him if they can. Maybe by sitting out or managing the number of snaps he gets on Saturday. Mone is capable of playing too, but might get some rest if they can afford to do that against Maryland.

Mongo

November 1st, 2016 at 2:35 PM ^

Were both limited in the 4th quarter at State? Sure seemed like the DL ran out of gas a bit down the stretch and those guys being limited could have been part of the reason. Might need to slide Wormley inside a bit and give more snaps to Gary - he is ready. Every time Gary came in the game it seemed to increase our intensity level.

SoDak Blues

November 1st, 2016 at 2:45 PM ^

I had the same sense in the 4th quarter, but I was just attributing it to overall snap count. I don't know the exact numbers, but the D had to have been on the field for a significantly higher number of snaps than any other game. 

Phil Brickma

November 1st, 2016 at 3:17 PM ^

I don't think you want Godin at nose. Hurst would be the better fit, but neither is ideal. I'd guess both Glasgow and Mone play but try to limit their snaps the best you can. Maybe some Onwenu? Hopefully in the second half when the game is put away (hopefully).



Sent from MGoBlog HD for iPhone & iPad

s1105615

November 1st, 2016 at 4:15 PM ^

http://www.footballstudyhall.com/pages/2016-michigan-advanced-statistical-profile

 

Just a quick question regarding the numbers.  I see that most of the Win Expectancy numbers listed are 100% while others (Colorado and MSU) are not.  The MSU game had a win expectancy of 97% last week.  Does this mean that the model is updating every game to show the expectnancy if we played that opponent again, or why are these numbers changing without going to 100% to reflect that the game was won?

NittanyFan

November 1st, 2016 at 6:53 PM ^

what is the likelihood that Team A would win the game.

Teams will occasionally win games when their S&P+ win expectancy is under 50% --- below is an article where Bill Connelly talks about win expectancy and the recent MTSU @ Missouri game, a game where Missouri lost despite having a win expectancy over 50%.

http://www.rockmnation.com/2016/10/25/13401904/missouri-middle-tennesse…