Tag Archives: Yards Per Point

Stat Sandwich: Notre Dame/scUM Team Breakdown

Notre Dame: 37 – Michigan: 0. Those are the only numbers you really need to know. I thought about making my entire post just that because when you set up the scenario where you may never give up a point to your rival opponent again, what else is there to do? And don’t you dare tell me I got the score wrong. I’ve seen plenty of pictures that confirmed that score. What’s that saying? Numbers never lie? That may be true, but there’s an equally true saying that was in play on Saturday: B1G referees suck. And it’s for that reason that some in the business will insist the final score was 31-0.

When you find yourself in a situation where the numbers disagree, it can help to re-imagine them in a different way. I’ve already taken it upon myself to petition the NCAA official record books to reconcile this discrepancy in a reasonable manner. I’ve asked them to change the final score to: Brian VanGorder Double Fist Pumps – Eternal Sadness. Until that goes official (I’m optimistic it’ll be sometime next week because we all know how efficient the NCAA is in its decision-making process, right UNC and Miami?), let’s dig into this week’s Stat Sandwich.

Like last week, I’ll start off by presenting some of the baseline, team wide statistics. As an added wrinkle, and until enough games have passed to develop more season long trends and analysis, I’m presenting this week’s stats alongside last week’s for comparison purposes. The last column is a general point of reference for whether week-over-week a particular category saw improvement or regression. Of course, this is all relative. So, for instance, I noted that “just” 31 points was a fall off from last week’s 48 (aren’t you glad you’ve read this far to learn 31 is in fact less than 48?), and therefore it’s noted as worse. Don’t take that too seriously. How about you pretend to look at the table, and then jump below for the areas that I was actually interested in.

Rice:

Michigan:

Better/Worse:

Points:

48

31

Worse

Plays:

72

75

Better

Points per Play:

.67

.41

Worse

Passing Attempts:

22

34

N/A

Rushing Attempts:

42

31

N/A

Penalties:

2

3

Worse

FG Attempts:

3

1

N/A

Punts:

3

6

Worse

Total Yards:

576

280

Worse

Rushing Yards:

281

54

Worse

Passing Yards:

295

226

Worse

Yards per Play:*

8.72

4.24

WORSE

Yards per Point:

12

9.03

BETTER

Penalty Yards:

10

20

Worse

Turnovers:

0

0

Same

Field Goals:

2/3. Makes: 29, 36 yards. Misses: 39 yards

1/1, Makes: 43

Better %

Punts: 39 yards (fair catch), 50 yards (touchback), 55 yards (touchback). 47 yards (fair catch), 41 yards (fair catch), 40 yards (fair catch), 39 yards (fair catch), 40 yards (fair catch), 23 yards (out of bounds) No touchbacks. Pinned Michigan inside 10 yard line twice. One shank.
Punt Average:

48

38

Worse

Net Punt Average:

35

38

BETTER

1st Downs:

23

20

Worse

3rd Down Converts:

6/13 for 46%

7/15 for 47%

Better

Red Zone Atts:

6

4

Worse

Red Zone TDs:

4

3

N/A

Red Zone FG’s:

2

1

N/A

RZ Score %:

100%

100%

Same

RZ TD %:

67%

75%

Better

* YPP = (Total Yards )/(Total plays – (Punts + FG Att + Def. Penalties))

Points per play: Last week I introduced some folks to the points per play metric which is a rough guide to explosiveness. Notre Dame’s week one performance versus Rice resulted in 0.67 points per play which in 2013 would have ranked second behind only Florida State. Given the total points, 48, and the explosive touchdowns (Fuller’s 75 yard TD comes to mind), you can get a general impression as to how the two work with one another. This week then it’s not at all surprising that points per play dropped off. Notre Dame’s longest rush of the game was Malik Zaire’s 14 yard scramble at the end of the game on 3rd and 16. Greg Bryant, Tarean Folston, and Cam McDaniel all had poor rushing performances. If you’re into that equality of life thing though, this was your game. Bryant, Folston, and McDaniel all received either 8 or 9 carries. They each had a long run of (just) 6 yards. Consider that last game each of the three had at least one rush of 17 yards, and you can quickly start to understand why points per play diminished.

The passing game, while effective, also lacked the firework plays that get the ladies excited like staring at a certain picture of one Cam McDaniel. The 24-yard touchdown pass to William Fuller in the second quarter was a thing of beauty…it was also the longest offensive play of the game and one of just 4 offensive plays all game that netted more than 15 yards. There are other measures to consider as well, but suffice it to say, this week’s team was more efficient than explosive.

Yards per point: While the offense was less explosive and less efficient in terms of yards per play, the team was quite efficient (nearly unreasonably so) in converting yards to points. The four touchdown drives for Notre Dame were drives of 56, 61, 71, and 80 yards. On the 7 drives the Irish had which did not result in a touchdown the longest drive netted just 19 yards. There were no in between distance drives leading to a remarkably strong yards per point. As stated last week, yards per point is not necessarily predictive in that the correlation from week to week is not terribly strong, but in describing how a team can be outgained in total yards but still absolutely dominate a game, this is a big reason why.

Notre Dame Offensive Play Breakdown by Quarter:

First Quarter Second Quarter Third Quarter Fourth Quarter
# Plays:

17

25 15

18

Runs:

8

9 6

8

Passes:

6

15 7

6

Penalties:

2 (Defensive)

0 1

0

Punts/FG Att:

1

1 1

4

Touchdowns:

1

2 1

0

Rushing Yards:

20

26 10

-2

Passing Yards:

40

129 46

11

Rush:Pass Ratio*

1.33

0.6 0.86

1.33

Rush Yds/Car.

2.5

2.89 1.67

-0.25

  • Michigan Rush:Pass Ratio = 0.91; Rice Rush:Pass Ratio = 1.91; 2013 Rush-Pass Ratio = 1.02. A Ratio of >1 means the team rushed more than it passed. < 1 means the opposite. A ratio of exactly 1 means the team ran the same number of rushing plays as passing plays.

Most of the scoring occurred in the first half, and that’s where the yards were found as well. The running game never really got going and was abandoned during the middle part of the game. The Irish had just 8 yards rushing in the second half, and the fourth quarter in particular was troubling with -2 yards on 8 carries. Versus Rice, Notre Dame put their foot down in the fourth quarter by running the ball 13 times compared to just 1 pass while averaging nearly 10 yards a carry. No repeat versus Michigan.

It’s worth noting that the Irish frequently used an offset back shotgun formation as opposed to the pistol formation which was effective last week. From my perspective, Notre Dame used read option runs early to gauge how the Michigan defense planned to deal with Golson. Michigan made a concerted effort to keep a contain man on Golson. As such, plays which may have been drawn up as read option turned almost exclusively into offset handoffs. The offensive line lacked any sort of real push to free up these slow developing runs. It also led to increased use of the play action pass. Versus Rice, Golson attempted 4 play actions passes all game. Versus Michigan, Golson attempted 6…in the first half. The offense abandoned the play action in the second half, except for one lone play, but when your defense forces 4 turnovers in one half, the need for consistent offense is alleviated.

Notre Dame Performance by Down: 

1st Down:

2nd Down:

3rd Down:

# Plays

28**

23

15

Run:

15

11

4

Pass:

11

11

11

Penalty:

2 (Defensive)^

1^^

0

Avg. to go for 1st:

9.46

7.57

5.33

Change from previous game average yards to go:

-0.54 yards

+1.30

-0.59

Efficiency %:*

39%

43%

47%

Efficiency +/- previous game:

-14%

+4%

+1%

Eff. 3 > 5yds to go

N/A

N/A

17% (1/6)

Eff. 3 <= 5 yds to go

N/A

N/A

67% (6/9)

* the folks at http://www.FootballOutsiders.com use a play efficiency metric to decide whether a play was efficient or not. It’s easy to think about in the context of third downs: Did the play result in 100% of the required yardage to get a first down/score? For first down, the metric is 50% of required yardage. Second down is 70% of required yardage. These are my calculations based on their formula.

** Excluded kneel down at end of game.

*** Notre Dame was 1/1 on 4th Down conversions.

^ Both defensive penalties were pass interference calls resulting in a first down.

^^ All 3 false start infractions for the offense have occurred on second down.

Down Analysis: The most noticeable difference from Rice to Michigan was the efficiency on first down. Versus Rice, over half of all first down plays gained at least 50% of the necessary yardage to get a first down. That dipped by 14% and led to longer second downs. The Irish had well over a yard more to go on average on second down this week than last. Despite the extra yardage they were slightly improved on second down performance. Over one game this really only means an extra play or two went well. Speaking of oddities….The Irish had one penalty on the offensive line in the game called on Steve Elmer. This also came on second down meaning through the first two games, all of the offensive line penalties have occurred on second down. Weird. Not relevant.

Offensive Player Usage

The chart below shows how many snaps each offensive player was in the game for (regardless of whether they touched the ball on a given play). There were a total of 67 non-special teams snaps. Additionally, in this game, I excluded the end of the game victory snap. The percentages will not necessarily add up to 100% for each position since multiple tight ends or receivers were used on the same play. This information is derived from my personal observation and re-watch of the game. My confidence level is about 98% for this game.

Player: QB Use % RB Use % TE Use % WR

Use %

Most

Golson 96 Folston 36 Koyack 94 Fuller

96

Zaire

4 McDaniel 36 Smythe 7 Prosise

52

Bryant

28 Luatua 1 Robinson

51

Brown

49

Carlisle

45

Holmes

4

The number one take away from player usage was that Will Fuller continues to never come off the field. This game saw more pre-set packages. Notably, Corey Robinson and Amir Carlisle tended to be in on the same plays while Chris Brown and C.J. Prosise served as the other unit. There were a handful of plays where Prosise played with Robinson instead of Carlisle, but that’s about it in terms of mix and match. Robinson and Carlisle were in for the first series along with Folston. I don’t take this to mean those players are the “ones” as much as whatever grouping of plays Brian Kelly wanted to use just involved them.

I’m not separating out package usage this week because there was virtually none. Notre Dame near exclusively used 11 personnel. Tyler Luatua made his cameo once again in the first half in an H-Back set up, but it was for just one play on a third and short. There were only two plays that used an “empty back” set that I’ll discuss below. While I’d like to see some more mix and match in terms of types of packages, the impression I’m getting is Kelly is comfortable with the multiple roles both Koyack and the backs can fill in terms of set-up. While I haven’t been tracking it, Koyack’s getting a good amount of use set up wide in a similar capacity to how each of Rudolph, Eifert, and Niklas were used. While perhaps not quite as dynamic as those guys, I have nothing but kind things to say about Koyack at the present.

Passing Targets:

Player:

Thrown To:

Receptions: Yards:

TD’s:

Will Fuller

12

9 89

1

Amir Carlisle

7

7 61

2

Ben Koyack

4

2 14

0

Chris Brown

4

1* 5

0

C.J. Prosise

3

1 18

0

Cam McDaniel

2

2 17

0

Corey Robinson

2

1** 22

0

Thrown Away

2

N/A N/A

N/A

* Brown drew a pass interference call for a first down. His effective plays was 2/4, or 50%.

** Robinson drew a pass interference call for a first down. His effective plays was 2/2, or 100%.

My favorite stat of the week involves Amir Carlisle. Despite seeing the field less than any receiver not named Corey Holmes, Amir Carlisle was second on the team in targets with 7, and even better, each target resulted in a reception. While Carlisle was the poster boy of efficiency, C.J. Prosise had another bad drop making it two in two weeks. I would expect to see a greater usage rate for Carlisle this coming week given the diverging performances of the two primary slot receivers.

Will Fuller is quickly turning into the most intriguing player on the field for me. His speed, feet, and skill in releasing off the line is evident. Michigan’s corners were clearly intimidated by that speed allowing Fuller to effectively use slant routes and convert an important fourth down conversion in the second quarter. Fuller’s day could have been even better were it not for some less exciting hands. He bobbled an opportunity in the early going that resulted in a reception but went for a minimal gain. Had the catch been clean, he might still be running given the blocking that was set up in front of him. I’m not sure who Fuller reminds me of at the present. He’s bigger than a pure speed guy which makes him so unique, and his agility was on display on the 24 yard touchdown reception. Fuller served as the field side wide receiver on almost every play while the taller Robinson and Brown took the boundary side.

Speaking of Brown on the boundary side, as noted above, the Irish ran two plays from an “empty back” set. Both had Cam McDaniel lined up as a receiver. Both times, the 4 other receiver targets lined up on the field side in an effort to set up a one-on-one isolation for Brown on the boundary, and both plays involved pre-snap decisions by Golson that the look was there to go to Brown. The first resulted in a pass interference call against Michigan. The second occurred in Michigan’s red zone on the play Golson got called for intentional grounding. Golson was locked into Brown from the outset (as Mike Mayock noted during the broadcast), however, the route was slow developing, and the Michigan defense in the compressed field was able to provide safety help over the top which disrupted the play.

Drive Efficiency:

Team:

Drives:

Avg. Start Pos. Net Yards: Poss. Net Yards:

Net Yard %

Notre Dame

11

Own 36 317 703

45%

Michigan

12

Own 23 275 927

30%

One unusual aspect to the game was that Michigan had 289 yards of total offense while Notre Dame had 280 yards of total offense. Forgetting about the 4 turnovers and the 2 missed field goals for a moment, the chart above explains why the total offensive yard numbers are misleading. Despite fewer total offensive yards, the Irish offense was actually the more effective and efficient throughout the night. First off, Michigan had 9 more total yards with one more full possession. Additionally, once penalty adjustments are included, you can see that Notre Dame move forward more than Michigan by a total of 317-275 net yards.

The Irish also frequently worked with a shorter field and were better at getting those yards. Possible net yards takes the starting position for each drive and calculates the number of yards the team could get if it scored a touchdown. Net yard percentage is therefore a gauge of how absolutely efficient an offense was in getting every yard it could have. Notre Dame was 50% more efficient at claiming available yards than Michigan.

Let me give you one more number:

2 – As in at least 2 first downs on a given drive. On Saturday, Notre Dame had 4 drives during which they claimed at least 2 first downs on a given drive. The Irish converted all 4 of these drives for touchdowns. Basically, if the offense started moving, they were not stopped.

Obviously, Michigan did not do that. In fact, their longest drive of the game was their first one: An 11 play, 47 yard drive that ended in a missed field goal.

And so, we finally make it to my final number: 2006. As in the year 2006 (thank you @andrewwinn for catching my mistake when I cited 2007 originally. Follow him, please.) That was the last time Notre Dame started the season 2-0 without committing a turnover. I won’t speak about what happened in the third game with our rival. Suffice it to say, I’m not as concerned for a similar let down against Purdue this coming week.

Let me know your thoughts, feelings, hopes, and dreams for this article on Twitter @IrishMoonJ. If there’s something you want to see, I’m but 140 characters away.

-Go Irish!

– Moons

Stat Sandwich: Notre Dame/Rice Team Breakdown

It feels soooo good. Football’s back, and this weekend did the things from a pleasure standpoint that certain religious sects swear is a one way ticket to the bad lands. (side note: these same groups probably don’t like swearing, but whatevs). Catholics would at least feel the need to go to confessional. The lusting. The coveting. The want for more. If this is being bad, then I don’t want to be good.

Saturday did many a thing for the Notre Dame collective morale. Everett Golson began the process of changing ND fan vernacular from “Tommy, NO!” to “Tommy, who?” by flashing some sweet skills in a 48-17 dominating performance of Rice at Notre Dame Stadium. The modern-day (selective memory) version of the 4-Horsemen – Golson, Bryant, McDaniel, and Folston combined for 223 yards on 40 carries. Grantland Rice – You’re on the clock to get a new lede. I assume famine and pestilence will be replaced by Ebola and Miley Cyrus, but there’s still room there for creativity. The defense in an uneven but somewhat encouraging performance mandated that the Internet’s collective snark put their dumpster fire memes on hold for at least another week. All and all, it was a good week.

However, I’m not here to bludgeon you over the head with reminders of how awesome Saturday was. Your hangover Sunday should have done that. In addition to bringing shenanigans, tomfoolery, and a charming southern accent to the ladies, one thing I wanted to provide to Down the Tunnel was some fun (pronounced: “enjoyable” to “horribly tedious” depending on your particular lean) statistical breakdowns of the games just passed.

A couple of caveats: Yes, this is just Rice. No need to lose our damn minds over the performance. Lose your mind over something worthwhile, like how Greg Bryant packed two pythons who just ate a baker’s dozen of bowling balls into his arms. Secondly, in the stats world, one game is the proverbial “small sample size.” Percentages, usage patterns, [something] per [something else] are still subject to fairly large variances week-to-week. As the season progresses, things stabilize, benchmarks become more apparent, and we gain a more realistic picture of where the team stands compared to the sprawling array of college football. But don’t go joining reality yet. There’s plenty of time for shattered dreams and references to sipping on Clorox. For now, sit back, and have fun numerically recalling Saturday (Yes, I’m aware your ability to count was ahem “impaired” on Saturday.)

Let’s start with the team stats. Notre Dame’s Overall stat line looked like this:

Points:                       48

Plays:                          72

Points per Play:       .67

Passing Attempts:   22

Rushing Attempts:  42

Penalties:                   2

FG Attempts:            3

Punts:                         3

Total Yards:               576

Rushing Yards:          281

Passing Yards:           295

Yards per Point:         12

Penalty Yards:            10

Turnovers:                   0

Field Goals:                 2/3. Makes: 29, 36 yards. Misses: 39 yards

Punts:                         39 yards (fair catch), 50 yards (touchback), 55 yards (touchback).

Punt Average:            48

Net Punt Average:     35

1st Downs:                  23

3rd Down Converts:  6/13 for 46%

Red Zone Atts:           6

Red Zone TDs:             4

Red Zone FG’s:           2

RZ Score %:              100%

RZ TD %:                   67%

Notre Dame’s offense functioned at an obviously high level. The balance was there from the get go. The general trend is not uncommon for those that have watched Brian Kelly over the previous few years. Versus weaker opponents, the offense will typically skew run as BK attempts to exploit size/depth advantages. Think of Brian Kelly as Gumby. He can stretch himself as needed, but he does have a system he reverts to at the end of the day.

The offense, most importantly, was more efficient than years past. Points per play and yards per point are both rough measures of efficiency. Offenses are inevitably measured by how many points they can score. Points per play gives a rough measure of how explosive an offense is. More points on fewer plays being the natural ideal. Notre Dame’s 0.67 points per play would have ranked second in FBS last season (#1 – Florida State – 0.749). Notre Dame’s Points per play last three years: 2013 – 0.404; 2012 – 0.375; 2011 – 0.412, all middle of the pack.

Yards per point is an efficiency metric. Not perfect by any stretch, and much of the criticism is that it lacks predictive power. However, as a descriptive stat, it tells you how good the team was at converting offensive production to points. I find it to be generally superior to red zone stats in measuring efficiency. The fewer yards per point, the more efficient the offense. Notre Dame’s 12 yards per point would have been sixth in the FBS last season (#1 – Florida State – 10.1). Notre Dame’s yards per point the previous three years: 2013 – 14.9 (75th nationally), 2012 – 15.8 (88th nationally), 2011 – 14.1 (53rd nationally).

The point here is simple. What we think we saw on Saturday was an offense finally clicking, and the stats confirm that to be the case. From an explosion and efficiency standpoint, this is what a good collegiate offense looks like. It would also be a marked improvement from previous years if this continued week over week. The defenses will get tougher, no question about it. The framework is there for consistent performance. Quarterback and runningback are both deeper and more skilled than in recent years past. While the wide receiving corp is young, there is a lot of potential for development. More importantly from a schematic perspective, Brian Kelly has a multitude of options at his disposal to mix and match as he sees fit.

Notre Dame Offensive Play Breakdown by Quarter:

First Quarter Second Quarter Third Quarter Fourth Quarter
# Plays:

17

20 20

15

Runs:

10

8 11

13

Passes:

5

9 7

1

Penalties:

0

1 1

0

Punts/FG Att:

2

2 1

1

Touchdowns:

2

2 1

1

Rushing Yards:

38

70 47 126
Passing Yards:

98

124 45

28

Rush:Pass Ratio*

2.0 0.89 1.57

13

Rush Yds/Car.

3.8 8.75 4.27

9.69

  • Rush:Pass Ratio for Game = 1.91; 2013 Rush-Pass Ratio = 1.02

Nothing too exciting here. Notre Dame came out wanting to establish the run, and while it was their least effective quarter on the ground on a per play basis, the team still ended up with 2 touchdowns to show for their work. Everett Golson was so lethal in the first half through the air and on the ground that the Irish only attempted 8 passes in the second half of the game and only one pass in the fourth quarter. The fourth quarter’s rushing total and yards per carry were both aided by Malik Zaire’s flamboyant entry to the game. Excluding Zaire’s run, the team still averaged 5.8 yards a carry with a Greg Bryant touchdown.

The uptick in rushing average in both the second and fourth quarters are at least indicative of a situation where one team was just superior in terms of depth and conditioning. While many will clamor for Bryant to be the work horse, it should not be underestimated how important it can be to exploit the ability to send out a fresh back for any series without concern for performance fall off. Bryant, Folston, and McDaniel all averaged at least 5 yards a carry for the game. I have no issue with Brian Kelly continuing to spread the wealth so long as all three backs are effective. Over the course of a game, that advantage shows.

Notre Dame Performance by Down:

1st Down:

2nd Down:

3rd Down:

# Plays

30

23

13

Run:

17

17

8

Pass:

13

4

5

Penalty:

0

2

0

Avg. to go for 1st:

10

6.26**

5.92

Efficiency %:*

53%

39%

46%***

Eff. 3 > 5yds to go

N/A

N/A

50%

Eff. 3 <= 5 yds to go

N/A

N/A

43%

* the folks at http://www.FootballOutsiders.com use a play efficiency metric to decide whether a play was efficient or not. It’s easy to think about in the context of third downs: Did the play result in 100% of the required yardage to get a first down/score? For first down, the metric is 50% of required yardage. Second down is 70% of required yardage. These are my calculations based on their formula.

** Notre Dame never faced a 2nd and >10 yards. Both offensive penalties occurred on 2nd and 3, resulting in 2nd and 8 effective situations.

*** A 46% third down conversion percentage would put you in the top 25 for FBS schools end of year rankings for each of the previous 3 seasons. Notre Dame’s last year? 42%….good for 47th Nationally.

Notre Dame Formation Usage:

The offense ended up using only two types of packages: A 11 (1 RB, 1 TE, 3 WR), and a 12 (1 RB, 2 TE, 2 WR). By my unofficial count, I only recall 2 plays where the back would shift out of the backfield into an “empty back” alignment. Both of these occurred out of the 11 personnel. Last season, ND shifted to the empty backfield alignment considerably more. It’ll be interesting to see whether the lack of use was just a matter of opponent or whether it’s a philosophy shift. Last year, I speculated that use of the 11 empty backfield was utilized to exploit arguably Tommy Rees’ best attribute, pre-snap reads. In 2012, the offense used the empty backfield more as the season went on to spread the field and create more potential running lanes for Golson. That was different personnel. With the increased skill level at the running back position, my early guess is we see the “empty back” set less this year.

Notre Dame exclusively used 11 in the first half. The first instance of 12 occurred early in the third quarter when the team was deep in Rice’s territory. The two plays leading up to the phantom handoff touchdown scramble were with 12 personnel. The Golson scramble itself came out of the 11. 50% of Zaire’s snaps were with 12 personnel at the end of the game when the Irish were simply looking to run out the clock.

Of the 63 plays in non-end of game/half situations, only 7 were in the 12. The remaining 56 came out of 11. Of the 56, 53 were run with the first team offense. Ben Koyack was the TE on all but one of those snaps. Tyler Luatua made a cameo in the first half deep in Irish territory when Luatua was lined up in H-Back position. That play resulted in a 13 yard run by Greg Bryant up the middle.

Offensive Player Usage:

At the beginning of each season, player usage is always a fun thing to track. The chart below shows how many snaps each offensive player was in the game for (regardless of whether they touched the ball on a given play). There were a total of 66 non-special teams snaps. The percentages will not necessarily add up to 100% for each position since multiple tight ends or receivers were used on the same play. This information is derived from my personal observation, re-watch of the game. My confidence level is about 95% in terms of accuracy overall. Very confident with respect to quarterback, running back, and tight end usage. However, I’m beholden to the game feed meaning there might be a receiver identification or two that is off. The general trends though I believe are entirely accurate.

Player:

QB Use % RB Use % TE Use % WR Use %

Most

Golson 91 Folston 38 Koyack 89

Fuller

82

Zaire 9 Bryant 33 Smythe 18 Brown

71

McDaniel 29 Luatua 8 Carlisle

42

Prosise

36

Robinson

30

Brent

9

Holmes

9

Least Lee

5

While Tarean Folston actually saw the greatest usage of the three running backs, the timing of his use is more telling. Folston was in on 25 plays. Of those 25 plays, only 14 came with less than a 4 touchdown lead being held. In a game dictated by the Irish as much as this one, that may or may not mean anything.

At the wide receiver position, the loss of DaVaris Daniels (for the time being) as well as the hand injury to Corey Robinson, likely led to the high use rates for both Will Fuller and Chris Brown. It will be an interesting trend to watch Fuller’s usage. I expect it to go down as Robinson gets healthier and Justin Brent gets more used to the offense. However, as I noted on the Roughing the Passer vidcast, that Fuller received so much time suggests that he’s more versatile as both a route runner and blocker than perhaps the reports out of spring camp had led many to believe.

So, we’re closing on 2,000 words. So as to not blow your minds in one post, I’ll split up team trends into this post and be back later in the week with some player specific data. If there’s something in particular you’re curious about, please hit me up on Twitter at @IrishMoonJ. We can make this reality whatever we’d like it to be.

 

– Moons